The "Female share of employment in senior and middle management (%)" indicator page provides information on the following indicators:
Female share of employment in senior and middle management (%)
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- (1) United Nations Population Division. World Population Prospects (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Report (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
- (1) United Nations Population Division. World Population Prospects (2) University of California, Berkeley, and Max Planck Institute for Demographic Research.
- Demographic and Health Surveys (DHS)
- Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS)
- Demographic and Health Surveys (DHS) and UNAIDS
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- Inter-Parliamentary Union (IPU)
- International Labour Organization (ILO)
- UN Inter-agency Group for Child Mortality Estimates (UNICEF, WHO, World Bank, UN Population Division)
- UN Office on Drugs and Crime (UNODC)
- UN Population Division
- UN Population Division, World Population Prospects.
- UNAIDS
- UNESCO Institute for Statistics (UIS)
- UNICEF, Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS)
- UNICEF, Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), AIDS Indicator Surveys(AIS), Reproductive Health Survey (RHS), and other household surveys.
- UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
- UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME)
- Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
- United Nations Statistics Division (UNSD)
- WHO, UNICEF, UNFPA, World Bank, and the United Nations Population Division
- WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene
- Women, Business and the Law 2.0
- Word Bank and UNESCO Institute for Statistics (UIS)
- World Bank Doing Business
- World Bank Enterprise Surveys
- World Bank Entrepreneurship Survey and Database
- World Bank Human Capital Index Plus
- World Bank estimates based on ILO and UNDP data
- World Bank staff estimates based on UN Population Division World Population Prospects
- World Health Organization (WHO)
- Age dependency ratio (% of working-age population)
- Age population, interpolated
- Birth rate, crude (per 1,000 people)
- Completeness of birth registration (%)
- Female headed households (% of households)
- Female migrants (% of international migrant stock)
- Fertility rate, total (births per woman)
- Life expectancy at age 60 (years)
- Life expectancy at birth, total (years)
- Mean age at first marriage
- Population (age group as % of total population)
- Population (number)
- Population, female (% of total population)
- Rural population (% of total population)
- Sex ratio at birth (male births per female births)
- Urban population (% of total population)
- Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
- Adolescent fertility rate (births per 1,000 women ages 15-19)
- Births attended by skilled health staff (% of total)
- Cause of death (%)
- Demand for family planning satisfied (% of married women with demand for family planning)
- Female genital mutilation prevalence (%)
- Incidence of HIV (per 1,000 uninfected population)
- Maternal mortality ratio (modeled estimate, per 100,000 live births)
- Mortality caused by road traffic injury (per 100,000 population)
- Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%)
- Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)
- Mortality rate attributed to unintentional poisoning (per 100,000 population)
- Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population)
- Mortality rate, under-5 (per 1,000 live births)
- Prevalence of current tobacco use (% of adults)
- Proportion of seats held by women in national parliaments (%)
- Proportion of time spent on unpaid domestic and care work (% of 24 hour day)
- Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)
- Proportion of women who have ever experienced intimate partner violence (% of ever-partnered women ages 15-49)
- Pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
- Suicide mortality rate (per 100,000 population)
- Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)
- Unemployment (%)
- Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)
- Women who were first married by age 15 or 18 (% of women ages 20-24)
- Adjusted net enrollment rate, primary (% of primary school age children)
- Cause of death (%)
- Children in employment, total (% of children ages 7-14)
- Children out of school, primary
- Completeness of birth registration (%)
- Educational attainment by level of education, cumulative (% population 25+)
- Gross intake ratio in first grade of primary education, total (% of relevant age group)
- Learning poverty: Share of Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)
- Life expectancy at birth, total (years)
- Lower secondary completion rate, total (% of relevant age group)
- Mortality rate, infant (per 1,000 live births)
- Mortality rate, under-5 (per 1,000 live births)
- Net intake rate in grade 1 (% of official school-age population)
- Number of infant deaths
- Number of under-five deaths
- Percentage of students in lower secondary vocational education who are female (%)
- Persistence to grade 5 (% of cohort)
- Population (age group as % of total population)
- Population (number)
- Prevalence of overweight, weight for height (% of children under 5)
- Prevalence of severe wasting, weight for height (% of children under 5)
- Prevalence of stunting, height for age (% of children under 5)
- Prevalence of underweight, weight for age (% of children under 5)
- Prevalence of wasting, weight for height (% of children under 5)
- Primary completion rate, total (% of relevant age group)
- Primary completion rate, total, based on completers
- Primary education, pupils (% female)
- Primary school age children out-of-school (%)
- Proportion who initiated sexual intercourse by or before age 15
- Pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
- School enrollment, gender parity index
- School enrollment, preprimary (% gross)
- School enrollment, primary (% gross)
- Sex ratio at birth (male births per female births)
- Share of all students in lower secondary education enrolled in vocational programmes (%)
- Women who experienced first sexual violence before age 15, 18, or 22 (% of women ages 15-49)
- Adolescent fertility rate (births per 1,000 women ages 15-19)
- Educational attainment by level of education, cumulative (% population 25+)
- Employment to population ratio (%)
- Female share of graduates in Business, Administration and Law programmes, tertiary (%)
- Female share of graduates in Information and Communication Technologies programmes, tertiary (%)
- Female share of graduates in other fields than Science, Technology, Engineering and Mathematics programmes, tertiary (%)
- Gross graduation ratio, tertiary, total (%)
- Incidence of HIV (per 1,000 uninfected population)
- Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)
- Literacy rate (%)
- Literacy rate, youth (ages 15-24), gender parity index (GPI)
- Percentage of male students in secondary education enrolled in vocational programmes, male (%)
- Percentage of students in post-secondary non-tertiary vocational education who are female (%)
- Percentage of students in upper secondary vocational education who are female (%)
- Population (number)
- Prevalence of HIV (% ages 15-24)
- Progression to secondary school (%)
- Proportion who initiated sexual intercourse by or before age 15
- Rate of out-of-school youth of upper secondary school age (%)
- Ratio of female to male youth unemployment rate (% ages 15-24) (modeled ILO estimate)
- School enrollment, gender parity index
- School enrollment, secondary (% gross)
- School enrollment, tertiary (% gross)
- Secondary education, pupils (% female)
- Secondary education, vocational pupils
- Secondary education, vocational pupils (% female)
- Share of all students in post-secondary non-tertiary education enrolled in vocational programmes (%)
- Share of all students in upper secondary education enrolled in vocational programmes (%)
- Share of graduates by field, female (%)
- Share of youth not in education, employment or training, total (% of youth population)
- Unemployment (%)
- Vocational and Technical enrolment (% of total secondary enrolment), total
- Women who experienced first sexual violence before age 15, 18, or 22 (% of women ages 15-49)
- Women who were first married by age 15 or 18 (% of women ages 20-24)
- Youth illiterate population, 15-24 years, % female
- Youth illiterate population, 15-24 years, both sexes (number)
- Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
- Assets Topic (Women, Business and the Law)
- Bank or similar financial institution account (% age 15+)
- Borrowed for health or medical purposes (% age 15+)
- Borrowed money (% of total population, age 15+)
- Borrowed to start or operate a business (% age 15+)
- Coming up with emergency funds in 30 days (% of total population, age 15+)
- Consequence of natural disaster in the past three years (% of total population, age 15+)
- Debit card ownership (% age 15+)
- Human capital index plus (HCI+): overall score (scale 0-325)
- Made a digital merchant payment (% age 15+)
- Made a digital online merchant payment for an online purchase (% of total population, age 15+)
- Made a utility payment (% age 15+)
- Made or received a digital payment (% age 15+)
- Made regular payments to insurance agent or company (% age 15+)
- Main source of emergency funds in 30 days (% of total population, age 15+)
- Mobile money account (% age 15+)
- Most worrying financial issue (% of total population, age 15+)
- Ownership of a house (%)
- Ownership of land (%)
- Owns a credit card (% age 15+)
- Paid off all credit card balances in full by their due date (% age 15+)
- Pension Topic (Women, Business and the Law)
- People with a national identity card or equivalent foundational identity document (% ages 15+)
- Purchased food on credit (% age 15+)
- Received government payments (% age 15+)
- Received government transfer (% age 15+)
- Received payments for agricultural products: in cash only (% of total population, age 15+)
- Received payments for the sale of agricultural products, livestock, or crops (% age 15+)
- Received private sector wages (% age 15+)
- Received public sector wages (% age 15+)
- Received wages (% age 15+)
- Saved at a bank or similar financial institution or using a mobile money account (% age 15+)
- Saved money (% of total population, age 15+)
- Sent domestic remittances (% age 15+)
- Store money in account (% age 15+)
- Time that can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income (% of total population, age 15+)
- Used a card or mobile phone to make payments (% age 15+)
- Used a credit card (% age 15+)
- Used a mobile phone or the internet to buy something online (% age 15+)
- Used a mobile phone or the internet to pay bills (% age 15+)
- Adjusted net enrollment rate, primary (% of primary school age children)
- Children out of school, primary
- Educational attainment by level of education, cumulative (% population 25+)
- Expected years of schooling
- Female share of graduates in Business, Administration and Law programmes, tertiary (%)
- Female share of graduates in Information and Communication Technologies programmes, tertiary (%)
- Female share of graduates in other fields than Science, Technology, Engineering and Mathematics programmes, tertiary (%)
- Gross graduation ratio, tertiary, total (%)
- Gross intake ratio in first grade of primary education, total (% of relevant age group)
- Human capital index plus (HCI+): education pillar score (scale 0-188)
- Learning poverty: Share of Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)
- Literacy rate (%)
- Literacy rate, youth (ages 15-24), gender parity index (GPI)
- Lower secondary completion rate, total (% of relevant age group)
- Net intake rate in grade 1 (% of official school-age population)
- Percentage of male students in secondary education enrolled in vocational programmes, male (%)
- Percentage of students in lower secondary vocational education who are female (%)
- Percentage of students in post-secondary non-tertiary vocational education who are female (%)
- Percentage of students in upper secondary vocational education who are female (%)
- Persistence to grade 5 (% of cohort)
- Primary completion rate, total (% of relevant age group)
- Primary completion rate, total, based on completers
- Primary education, pupils (% female)
- Primary education, teachers (% female)
- Primary school age children out-of-school (%)
- Progression to secondary school (%)
- Pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
- Rate of out-of-school youth of upper secondary school age (%)
- School enrollment, gender parity index
- School enrollment, preprimary (% gross)
- School enrollment, primary (% gross)
- School enrollment, secondary (% gross)
- School enrollment, tertiary (% gross)
- Secondary education, pupils (% female)
- Secondary education, teachers (% female)
- Secondary education, vocational pupils
- Secondary education, vocational pupils (% female)
- Share of all students in lower secondary education enrolled in vocational programmes (%)
- Share of all students in post-secondary non-tertiary education enrolled in vocational programmes (%)
- Share of all students in upper secondary education enrolled in vocational programmes (%)
- Share of graduates by field, female (%)
- Share of youth not in education, employment or training, total (% of youth population)
- Tertiary education, academic staff (% female)
- Vocational and Technical enrolment (% of total secondary enrolment), total
- Youth illiterate population, 15-24 years, % female
- Youth illiterate population, 15-24 years, both sexes (number)
- Childcare Topic (Women, Business and the Law)
- Children in employment, total (% of children ages 7-14)
- Employers, total (% of total employment) (modeled ILO estimate)
- Employment by sector (%)
- Employment to population ratio (%)
- Female share of employment in senior and middle management (%)
- Human capital index plus (HCI+): on-the-job learning pillar score (scale -30-87)
- Informal employment (% of total agricultural employment)
- Informal employment (% of total non-agricultural employment)
- Labor force by level of education (%)
- Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)
- Labor force, female (% of total labor force)
- Labor force, total
- Parenthood Topic (Women, Business and the Law)
- Part time employment, total (% of total employment)
- Pay Topic ( (Women, Business and the Law)
- Proportion of time spent on unpaid domestic and care work (% of 24 hour day)
- Ratio of female to male labor force participation rate (%) (modeled ILO estimate)
- Ratio of female to male youth unemployment rate (% ages 15-24) (modeled ILO estimate)
- Self-employed, total (% of total employment) (modeled ILO estimate)
- Share of youth not in education, employment or training, total (% of youth population)
- Time-related underemployment (% of employment)
- Unemployment (%)
- Unemployment by level of education (%)
- Vulnerable employment, total (% of total employment) (modeled ILO estimate)
- WBL: Enforcement Perceptions Index (scale 0-100)
- WBL: Legal Framework Index (scale 0-100)
- WBL: Supportive Framework Index (scale 0-100)
- Wage and salaried workers, total (% of total employment) (modeled ILO estimate)
- Work Topic (Women, Business and the Law)
- Borrowed to start or operate a business (% age 15+)
- Cost of business start-up procedures (% of GNI per capita)
- Entrepreneurship Topic (Women, Business and the Law)
- Firms with female participation in ownership (% of firms)
- Firms with female top manager (% of firms)
- Number of business owners
- Number of directors
- Number of sole proprietors
- Share of business owners (% of total business owners)
- Share of directors (% of total directors)
- Share of sole proprietors (% of sole proprietors)
- Start-up procedures to register a business (number)
- Time required to start a business (days)
- Consequence of natural disaster in the past three years (% of total population, age 15+)
- Experienced a natural disaster or severe weather event (% age 15+)
- Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)
- Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population)
- Share of graduates by field, female (%)
- Women and girls who have private places to wash and change during menstrual period (% of women and girls ages 15-49 who had a menstrual period within the last year)
- Adolescent fertility rate (births per 1,000 women ages 15-19)
- Antiretroviral therapy coverage (% of adults living with HIV)
- Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV)
- Births attended by skilled health staff (% of total)
- Borrowed for health or medical purposes (% age 15+)
- Cause of death (%)
- Cause of death, by other COVID-19 pandemic-related outcomes (% of total deaths)
- Comprehensive correct knowledge of HIV/AIDS (2 prevent ways and reject 3 misconceptions)
- Condom use at last high-risk sex (% ages 15-49)
- Contraceptive prevalence (% of women ages 15-49)
- Demand for family planning satisfied (% of married women with demand for family planning)
- Female genital mutilation prevalence (%)
- Fertility Planning Status (% of births)
- Fertility rate, total (births per woman)
- Human capital index plus (HCI+): health pillar score (scale 0-50)
- Incidence of HIV (per 1,000 uninfected population)
- Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)
- Knowledge of contraception methods (%)
- Lifetime risk of maternal death (%)
- Lifetime risk of maternal death (1 in: rate varies by country)
- Maternal mortality ratio (modeled estimate, per 100,000 live births)
- Mortality caused by road traffic injury (per 100,000 population)
- Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%)
- Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)
- Mortality rate attributed to unintentional poisoning (per 100,000 population)
- Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population)
- Mortality rate, adult (per 1,000 adults)
- Mortality rate, infant (per 1,000 live births)
- Mortality rate, under-5 (per 1,000 live births)
- Number of infant deaths
- Number of maternal deaths
- Number of stillbirths
- Number of under-five deaths
- Pregnant women receiving prenatal care (%)
- Pregnant women receiving prenatal care of at least four visits (% of pregnant women)
- Prevalence of HIV (% ages 15-24)
- Prevalence of anemia among non-pregnant women (% of women ages 15-49)
- Prevalence of anemia among pregnant women (%)
- Prevalence of anemia among women of reproductive age (% of women ages 15-49)
- Prevalence of current tobacco use (% of adults)
- Prevalence of obesity (% of population ages 18+)
- Prevalence of overweight (% of adults)
- Prevalence of overweight (modeled estimate, % of children under 5)
- Prevalence of overweight, weight for height (% of children under 5)
- Prevalence of severe wasting, weight for height (% of children under 5)
- Prevalence of stunting, height for age (% of children under 5)
- Prevalence of stunting, height for age (modeled estimate, % of children under 5)
- Prevalence of syphilis (% of women attending antenatal care)
- Prevalence of underweight, weight for age (% of children under 5)
- Prevalence of wasting, weight for height (% of children under 5)
- Stillbirth rate (per 1,000 total births)
- Suicide mortality rate (per 100,000 population)
- Survival to age 65 (% of cohort)
- Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)
- Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)
- Unmet need for contraception (% of married women ages 15-49)
- Wanted fertility rate (births per woman)
- Women and girls who have private places to wash and change during menstrual period (% of women and girls ages 15-49 who had a menstrual period within the last year)
- Women and girls who participate in activities during menstrual period (% of women and girls ages 15-49 who had a menstrual period within the last year)
- Women and girls who use menstrual materials (% of women and girls ages 15-49 who had a menstrual period within the last year)
- Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)
- Women participating in decisions related to health care, purchases, visiting family, and cooking (%)
- Women's share of population ages 15+ living with HIV (%)
- Belief that female genital mutilation should not be continued (% who have heard about FGM)
- Belief that religion requires female genital mutilation (% who have heard about FGM)
- Comprehensive correct knowledge of HIV/AIDS (2 prevent ways and reject 3 misconceptions)
- Condom use at last high-risk sex (% ages 15-49)
- Family member sets rules for mobile phone use (% age 15+)
- Knowledge of contraception methods (%)
- Marriage Topic (Women, Business and the Law)
- Mean age at first marriage
- Mobility Topic (Women, Business and the Law)
- Proportion of women who have ever experienced any form of sexual violence (% of women ages 15-49)
- Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)
- Women participating in decisions related to health care, purchases, visiting family, and cooking (%)
- Women who believe a husband is justified in beating his wife (%)
- Women who believe a wife is justified refusing sex with her husband (%)
- Women who were first married by age 15 or 18 (% of women ages 20-24)
- Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
- Buys data package for internet use (% age 15+)
- Buys data package monthly (% of total population, age 15+)
- Can change PIN or password on mobile phone without help (% age 15+)
- Can send a text message on a mobile phone (% age 15+)
- Daily internet use (% of total population, age 15+)
- Daily mobile phone use (% of total population, age 15+)
- Digitally enabled account (% age 15+)
- Does not own a smartphone due to cost (% of total population, age 15+)
- Female share of graduates in Information and Communication Technologies programmes, tertiary (%)
- Individuals using the Internet (% of population)
- Made a digital online merchant payment for an online purchase (% of total population, age 15+)
- Made or received a digital payment (% age 15+)
- Mobile money account (% age 15+)
- Online activities in past three months (% of total population, age 15+)
- Own a mobile phone (% age 15+)
- Phone has a lock (PIN, password, fingerprint) (% age 15+)
- Preferred mode of receiving government news (% of total population, age 15+)
- Read a text message on a mobile phone (% age 15+)
- SIM number registered in own name (% age 15+)
- Saved at a bank or similar financial institution or using a mobile money account (% age 15+)
- Share of graduates by field, female (%)
- Type of main mobile phone by technology (% of total population, age 15+)
- Used a mobile phone or the internet to buy something online (% age 15+)
- Used a mobile phone or the internet to check account balance (% age 15+)
- Used a mobile phone or the internet to pay bills (% age 15+)
- Used the internet in the past three months (% age 15+)
- Belief that female genital mutilation should not be continued (% who have heard about FGM)
- Belief that religion requires female genital mutilation (% who have heard about FGM)
- Female genital mutilation prevalence (%)
- Intentional homicides (per 100,000 people)
- Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)
- Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (%)
- Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (%)
- Proportion of women who have ever experienced any form of sexual violence (% of women ages 15-49)
- Proportion of women who have ever experienced intimate partner violence (% of ever-partnered women ages 15-49)
- Proportion of women who have sought help to stop physical or sexual violence (% of ever-married women ages 15-49)
- Proportion who initiated sexual intercourse by or before age 15
- Safety Topic (Women, Business and the Law)
- Suicide mortality rate (per 100,000 population)
- Women who believe a husband is justified in beating his wife (%)
- Women who believe a wife is justified refusing sex with her husband (%)
- Women who experienced first sexual violence before age 15, 18, or 22 (% of women ages 15-49)
- Women who have ever experienced violence committed by their husband/partner by type of violence (% of ever-married women ages 15-49)
- Women who have experienced injuries resulting from spousal violence (% of ever-married women ages 15-49 who have ever experienced any physical or sexual violence)
- Women who have experienced violence committed by their husband/partner in the last 12 months by type of violence (% of ever-married women ages 15-49)
- Women who have not experienced spousal physical or sexual violence (% of currently married women age 15-49 who have been married only once)
- Women who never sought help to stop violence, and never told anyone (% of ever-married women ages 15-49 who have ever experienced any physical or sexual violence)
- Women who never sought help to stop violence, but told someone (% of ever-married women ages 15-49 who have ever experienced any physical or sexual violence)
- Women who were first married by age 15 or 18 (% of women ages 20-24)
- Women whose first experience of spousal physical or sexual violence was before marriage (% of currently married women age 15-49 who have been married only once)
- Women whose first experience of spousal physical or sexual violence was during marriage (% of currently married women age 15-49 who have been married only once)
- Women whose husband or partner has ever demonstrated controlling behaviors (% of ever-married women ages 15-49)
- Women whose husband or partner has never demonstrated controlling behaviors (% of ever-married women ages 15-49)
- Children out of school (% of primary school age)
- Death rate, crude (per 1,000 people)
- First bank or similar financial institution account ever was opened to receive a wage payment or money from the government (% age 15+)
- GDP (annual % growth)
- GDP (current US$)
- GDP per capita (constant 2015 US$)
- GDP per capita (current US$)
- GNI per capita, Atlas method (current US$)
- GNI per capita, PPP (current international $)
- GNI, Atlas method (current US$)
- Gini index
- Government expenditure on education, total (% of GDP)
- Government expenditure per student, primary (% of GDP per capita)
- Government expenditure per student, secondary (% of GDP per capita)
- Households with water 30 minutes or longer away round trip (%)
- Households with water less than 30 minutes away round trip (%)
- Households with water on the premises (%)
- Immunization, DPT (% of children ages 12-23 months)
- Immunization, measles (% of children ages 12-23 months)
- Inflation, consumer prices (annual % growth)
- Location of cooking: inside the house (% of households)
- Location of cooking: other places (% of households)
- Location of cooking: outdoors (% of households)
- Location of cooking: separate building (% of households)
- Main cooking fuel: LPG/natural gas/biogas (% of households)
- Main cooking fuel: agricultural crop (% of households)
- Main cooking fuel: charcoal (% of households)
- Main cooking fuel: dung (% of households)
- Main cooking fuel: electricity (% of households)
- Main cooking fuel: straw/shrubs/grass (% of households)
- Main cooking fuel: wood (% of households)
- No account because someone in the family has one (% age 15+)
- People practicing open defecation (% of population)
- People practicing open defecation, rural (% of rural population)
- People practicing open defecation, urban (% of urban population)
- Poverty headcount ratio at $3.00 a day (2021 PPP) (% of population)
- Poverty headcount ratio at national poverty lines (% of population)
- Received information about account balance from bank through email, SMS, or text message on mobile in the past 12 months (% age 15+)
- Received phone call or SMS asking for money in the past 12 months (% age 15+)
- Used mobile phone or card to pay (% of total population, age 15+)
- Wage payments: leave some money in the account (% age 15+)
The "Firms with female top manager (% of firms)" indicator page provides information on the following indicators:
Firms with female top manager (% of firms)
Definition: Percentage of firms with females as the top manager.
Source: Enterprise Surveys, World Bank (WB), uri: https://www.enterprisesurveys.org/en/data
The "Proportion of seats held by women in national parliaments (%)" indicator page provides information on the following indicators:
Proportion of seats held by women in national parliaments (%)
Definition: Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.
Source: Monthly ranking of women in national parliaments, Inter-Parliamentary Union (IPU), uri: https://data.ipu.org/women-ranking/, note: For the year of 1998, the data is as of August 10, 1998., type: Excel, date accessed: 2026-03-29
The "Proportion of women in ministerial level positions (%)" indicator page provides information on the following indicators:
Proportion of women in ministerial level positions (%)
Definition: Women in ministerial level positions is the proportion of women in ministerial or equivalent positions (including deputy prime ministers) in the government. Prime Ministers/Heads of Government are included when they hold ministerial portfolios. Vice-Presidents and heads of governmental or public agencies are excluded.
Source: Inter-Parliamentary Union. United Nations Entity for Gender Equality and the Empowerment of Women (UN Women). Women in Politics.
The "Adjusted net enrollment rate, primary (% of primary school age children)" indicator page provides information on the following indicators:
Adjusted net enrollment rate, primary, female (% of primary school age children)
Definition: Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
Adjusted net enrollment rate, primary, male (% of primary school age children)
Definition: Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
Adjusted net enrollment rate, primary (% of primary school age children)
Definition: Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Cause of death (%)" indicator page provides information on the following indicators:
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, female (% of total female deaths)
Definition: Number of female deaths due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, male (% of total male deaths)
Definition: Number of male deaths due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)
Definition: Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, female (% of total female deaths)
Definition: Number of female deaths due to injury divided by number of all female deaths, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, male (% of total male deaths)
Definition: Number of male deaths ages due to injury divided by number of all male deaths ages, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury (% of total)
Definition: Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, female (% of total female deaths)
Definition: Number of female deaths due to non-communicable diseases divided by number of all female deaths, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, male (% of total male deaths)
Definition: Number of male deaths ages due to non-communicable diseases divided by number of all male deaths ages, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases (% of total)
Definition: Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, female (% of total female deaths ages 0-4)
Definition: Number of female deaths ages 0-4 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, male (% of total male deaths ages 0-4)
Definition: Number of male deaths ages 0-4 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4 (% of total deaths ages 0-4)
Definition: Number of deaths ages 0-4 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 0-4, female (% of total female deaths ages 0-4)
Definition: Number of female deaths ages 0-4 due to injury divided by number of all female deaths ages 0-4, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 0-4, male (% of total male deaths ages 0-4)
Definition: Number of male deaths ages 0-4 due to injury divided by number of all male deaths ages 0-4, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 0-4 (% of total deaths ages 0-4)
Definition: Number of deaths ages 0-4 due to injury divided by number of all deaths ages 0-4, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 0-4, female (% of total female deaths ages 0-4)
Definition: Number of female deaths ages 0-4 due to non-communicable diseases divided by number of all female deaths ages 0-4, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 0-4, male (% of total male deaths ages 0-4)
Definition: Number of male deaths ages 0-4 due to non-communicable diseases divided by number of all male deaths ages 0-4, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 0-4 (% of total deaths ages 0-4)
Definition: Number of deaths ages 0-4 due to non-communicable diseases divided by number of all deaths ages 0-4, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, female (% of total female deaths ages 5-14)
Definition: Number of female deaths ages 5-14 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 5-14, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, male (% of total male deaths ages 5-14)
Definition: Number of male deaths ages 5-14 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 5-14, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14 (% of total deaths ages 5-14)
Definition: Number of deaths ages 5-14 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 5-14, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 5-14, female (% of total female deaths ages 5-14)
Definition: Number of female deaths ages 5-14 due to injury divided by number of all female deaths ages 5-14, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 5-14, male (% of total male deaths ages 5-14)
Definition: Number of male deaths ages 5-14 due to injury divided by number of all male deaths ages 5-14, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 5-14 (% of total deaths ages 5-14)
Definition: Number of deaths ages 5-14 due to injury divided by number of all deaths ages 5-14, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 5-14, female (% of total female deaths ages 5-14)
Definition: Number of female deaths ages 5-14 due to non-communicable diseases divided by number of all female deaths ages 5-14, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 5-14, male (% of total male deaths ages 5-14)
Definition: Number of male deaths ages 5-14 due to non-communicable diseases divided by number of all male deaths ages 5-14, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 5-14 (% of total deaths ages 5-14)
Definition: Number of deaths ages 5-14 due to non-communicable diseases divided by number of all deaths ages 5-14, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, female (% of total female deaths ages 15-59)
Definition: Number of female deaths ages 15-59 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 15-59, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, male (% of total male deaths ages 15-59)
Definition: Number of male deaths ages 15-59 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 15-59, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59 (% of total deaths ages 15-59)
Definition: Number of deaths ages 15-59 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 15-59, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 15-59, female (% of total female deaths ages 15-59)
Definition: Number of female deaths ages 15-59 due to injury divided by number of all female deaths ages 15-59, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 15-59, male (% of total male deaths ages 15-59)
Definition: Number of male deaths ages 15-59 due to injury divided by number of all male deaths ages 15-59, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 15-59 (% of total deaths ages 15-59)
Definition: Number of deaths ages 15-59 due to injury divided by number of all deaths ages 15-59, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 15-59, female (% of total female deaths ages 15-59)
Definition: Number of female deaths ages 15-59 due to non-communicable diseases divided by number of all female deaths ages 15-59, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 15-59, male (% of total male deaths ages 15-59)
Definition: Number of male deaths ages 15-59 due to non-communicable diseases divided by number of all male deaths ages 15-59, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 15-59 (% of total deaths ages 15-59)
Definition: Number of deaths ages 15-59 due to non-communicable diseases divided by number of all deaths ages 15-59 expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, female (% of total female deaths ages 60+)
Definition: Number of female deaths ages 60+ due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 60+, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, male (% of total male deaths ages 60+)
Definition: Number of male deaths ages 60+ due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 60+, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+ (% of total deaths ages 60+)
Definition: Number of deaths ages 60+ due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 60+, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 60+, female (% of total female deaths ages 60+)
Definition: Number of female deaths ages 60+ due to injury divided by number of all female deaths ages 60+, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 60+, male (% of total male deaths ages 60+)
Definition: Number of male deaths ages 60+ due to injury divided by number of all male deaths ages 60+, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 60+ (% of total deaths ages 60+)
Definition: Number of deaths ages 60+ due to injury divided by number of all deaths ages 60+, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 60+, female (% of total female deaths ages 60+)
Definition: Number of female deaths ages 60+ due to non-communicable diseases divided by number of all female deaths ages 60+, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 60+, male (% of total male deaths ages 60+)
Definition: Number of male deaths ages 60+ due to non-communicable diseases divided by number of all male deaths ages 60+, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 60+ (% of total deaths ages 60+)
Definition: Number of deaths ages 60+ due to non-communicable diseases divided by number of all deaths ages 60+, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
The "Children in employment, total (% of children ages 7-14)" indicator page provides information on the following indicators:
Children in employment, female (% of female children ages 7-14)
Definition: Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.
Source: Understanding Children's Work, International Labour Organization (ILO);
UN Children's Fund (UNICEF), note: Understanding Children's Work;
World Bank (WB), note: Understanding Children's Work
Children in employment, male (% of male children ages 7-14)
Definition: Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.
Source: Understanding Children's Work, International Labour Organization (ILO);
UN Children's Fund (UNICEF), note: Understanding Children's Work;
World Bank (WB), note: Understanding Children's Work
Children in employment, total (% of children ages 7-14)
Definition: Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.
Source: Understanding Children's Work, International Labour Organization (ILO);
UN Children's Fund (UNICEF), note: Understanding Children's Work;
World Bank (WB), note: Understanding Children's Work
The "Children out of school, primary" indicator page provides information on the following indicators:
Children out of school, primary, female
Definition: Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Children out of school, primary, male
Definition: Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Children out of school, primary
Definition: Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "Completeness of birth registration (%)" indicator page provides information on the following indicators:
Completeness of birth registration, female (%)
Definition: Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
Source: Household surveys, UN Children's Fund (UNICEF), note: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
Completeness of birth registration, male (%)
Definition: Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
Source: Household surveys, UN Children's Fund (UNICEF), note: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
Completeness of birth registration (%)
Definition: Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
Source: Household surveys, UN Children's Fund (UNICEF), note: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
The "Educational attainment by level of education, cumulative (% population 25+)" indicator page provides information on the following indicators:
Educational attainment, at least completed primary, population 25+ years, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed primary, population 25+ years, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed lower secondary, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed lower secondary, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed upper secondary, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed upper secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed upper secondary, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed upper secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed upper secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Master's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Master's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Master's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "Gross intake ratio in first grade of primary education, total (% of relevant age group)" indicator page provides information on the following indicators:
Gross intake ratio in first grade of primary education, total (% of relevant age group)
Definition: Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Learning poverty: Share of Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)" indicator page provides information on the following indicators:
Learning poverty: Share of Female Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)
Definition: The share of female 10-year-olds who cannot read and understand a short passage of age-appropriate material—in other words, those who are below the “minimum proficiency” threshold for reading. This measure is defined as the union of two deprivations: 1) schooling deprivation and 2) learning deprivation. A child is considered schooling-deprived (SD) if he or she is of primary school age and out-of-school. The dimension of learning deprivation (LD) applies only for children in school, and identifies those pupils who are below the minimum proficiency level (MPL) for reading, as defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. This “union approach” to measurement reflects the choice that, as presented in the SDGs, all age 10 children must be both in school and learning. The final learning poverty measure combines the two dimensions in a single indicator using the following formula: LP = SD + [(1-SD) x LD]
Source: World Bank (WB);
UN Educational, Scientific and Cultural Organization (UNESCO), publisher: UNESCO Institute for Statistics (UIS)
Learning poverty: Share of Male Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)
Definition: The share of male 10-year-olds who cannot read and understand a short passage of age-appropriate material—in other words, those who are below the “minimum proficiency” threshold for reading. This measure is defined as the union of two deprivations: 1) schooling deprivation and 2) learning deprivation. A child is considered schooling-deprived (SD) if he or she is of primary school age and out-of-school. The dimension of learning deprivation (LD) applies only for children in school, and identifies those pupils who are below the minimum proficiency level (MPL) for reading, as defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. This “union approach” to measurement reflects the choice that, as presented in the SDGs, all age 10 children must be both in school and learning. The final learning poverty measure combines the two dimensions in a single indicator using the following formula: LP = SD + [(1-SD) x LD]
Source: World Bank (WB);
UN Educational, Scientific and Cultural Organization (UNESCO), publisher: UNESCO Institute for Statistics (UIS)
Learning poverty: Share of Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)
Definition: The share of 10-year-olds who cannot read and understand a short passage of age-appropriate material—in other words, those who are below the “minimum proficiency” threshold for reading. This measure is defined as the union of two deprivations: 1) schooling deprivation and 2) learning deprivation. A child is considered schooling-deprived (SD) if he or she is of primary school age and out-of-school. The dimension of learning deprivation (LD) applies only for children in school, and identifies those pupils who are below the minimum proficiency level (MPL) for reading, as defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. This “union approach” to measurement reflects the choice that, as presented in the SDGs, all age 10 children must be both in school and learning. The final learning poverty measure combines the two dimensions in a single indicator using the following formula: LP = SD + [(1-SD) x LD]
Source: World Bank (WB);
UN Educational, Scientific and Cultural Organization (UNESCO), publisher: UNESCO Institute for Statistics (UIS)
The "Life expectancy at birth, total (years)" indicator page provides information on the following indicators:
Life expectancy at birth, female (years)
Definition: Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs);
Demographic Statistics, Eurostat (ESTAT)
Life expectancy at birth, male (years)
Definition: Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs);
Demographic Statistics, Eurostat (ESTAT)
Life expectancy at birth, total (years)
Definition: Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
Source: World Population Prospects, United Nations (UN), uri: UN Population Division;
Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs), note: Derived from male and female life expectancy at birth from sources such as statistical databases and publications from national statistical offices.;
Demographic Statistics, Eurostat (ESTAT), note: Derived from male and female life expectancy at birth from sources such as Eurostat: Demographic Statistics.
The "Lower secondary completion rate, total (% of relevant age group)" indicator page provides information on the following indicators:
Lower secondary completion rate, female (% of relevant age group)
Definition: Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
Lower secondary completion rate, male (% of relevant age group)
Definition: Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
Lower secondary completion rate, total (% of relevant age group)
Definition: Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
The "Mortality rate, infant (per 1,000 live births)" indicator page provides information on the following indicators:
Mortality rate, infant, female (per 1,000 live births)
Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
Mortality rate, infant, male (per 1,000 live births)
Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
Mortality rate, infant (per 1,000 live births)
Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
The "Mortality rate, under-5 (per 1,000 live births)" indicator page provides information on the following indicators:
Mortality rate, under-5, female (per 1,000 live births)
Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
Mortality rate, under-5, male (per 1,000 live births)
Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
Mortality rate, under-5 (per 1,000 live births)
Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org, publisher: UNICEF, WHO, World Bank, United Nations Population Division;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
The "Net intake rate in grade 1 (% of official school-age population)" indicator page provides information on the following indicators:
Net intake rate in grade 1, female (% of official school-age population)
Definition: Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
Net intake rate in grade 1, male (% of official school-age population)
Definition: Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
Net intake rate in grade 1 (% of official school-age population)
Definition: Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Number of infant deaths" indicator page provides information on the following indicators:
Number of infant deaths, female
Definition: Number of female infants dying before reaching one year of age.
Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
Number of infant deaths, male
Definition: Number of male infants dying before reaching one year of age.
Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
Number of infant deaths
Definition: Number of infants dying before reaching one year of age.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
The "Number of under-five deaths" indicator page provides information on the following indicators:
Number of under-five deaths, female
Definition: Number of female children dying before reaching age five.
Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
Number of under-five deaths, male
Definition: Number of male children dying before reaching age five.
Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
The "Percentage of students in lower secondary vocational education who are female (%)" indicator page provides information on the following indicators:
Percentage of students in lower secondary vocational education who are female (%)
Definition: Number of female vocational education students at the lower secondary level expressed as a percentage of the total number of vocational education students (male and female) at the lower secondary level in a given school year.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Persistence to grade 5 (% of cohort)" indicator page provides information on the following indicators:
Persistence to grade 5, female (% of cohort)
Definition: Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
Persistence to grade 5, male (% of cohort)
Definition: Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
The "Population (age group as % of total population)" indicator page provides information on the following indicators:
Population ages 0-14 (% of total population)
Definition: Population between the ages 0 to 14 as a percentage of the total population. Population is based on the de facto definition of population.
Source: United Nations Population Division. World Population Prospects., United Nations Population Division, uri: https://population.un.org/wpp/, publisher: United Nations Population Division
Population ages 15-64 (% of total population)
Definition: Total population between the ages 15 to 64 as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division
Population ages 65 and above (% of total population)
Definition: Population ages 65 and above as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division
The "Population (number)" indicator page provides information on the following indicators:
Population, female
Definition: Female population is based on the de facto definition of population, which counts all female residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population, male
Definition: Male population is based on the de facto definition of population, which counts all male residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population, total
Definition: Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.
Source: World Population Prospects, United Nations (UN), uri: https://population.un.org/wpp/, publisher: UN Population Division;
Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs), uri: https://unstats.un.org/home/nso_sites/, publisher: National Statistical Offices;
Eurostat: Demographic Statistics, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/data/database?node_code=earn_ses_monthly, publisher: Eurostat;
Population and Vital Statistics Report (various years), United Nations (UN), uri: https://unstats.un.org, publisher: UN Statistics Division
Population ages 0-14, female
Definition: Female population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 0-14, male
Definition: Male population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 0-14, total
Definition: Total population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: Staff estimates, World Bank (WB), note: Staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects., publisher: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's data.;
World Population Prospects, United Nations (UN), publisher: UN Population Division
Population ages 15-64, female
Definition: Female population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 15-64, male
Definition: Male population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 15-64, total
Definition: Total population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 65 and above, female
Definition: Female population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 65 and above, male
Definition: Male population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 65 and above, total
Definition: Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 00-04, female
Definition: Female population between the ages 0 to 4.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 00-04, male
Definition: Male population between the ages 0 to 4.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 05-09, female
Definition: Female population between the ages 5 to 9.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 05-09, male
Definition: Male population between the ages 5 to 9.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 10-14, female
Definition: Female population between the ages 10 to 14.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 10-14, male
Definition: Male population between the ages 10 to 14.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 15-19, female
Definition: Female population between the ages 15 to 19.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 15-19, male
Definition: Male population between the ages 15 to 19.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 20-24, female
Definition: Female population between the ages 20 to 24.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 20-24, male
Definition: Male population between the ages 20 to 24.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 25-29, female
Definition: Female population between the ages 25 to 29.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 25-29, male
Definition: Male population between the ages 25 to 29.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 30-34, female
Definition: Female population between the ages 30 to 34.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 30-34, male
Definition: Male population between the ages 30 to 34.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 35-39, female
Definition: Female population between the ages 35 to 39.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 35-39, male
Definition: Male population between the ages 35 to 39.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 40-44, female
Definition: Female population between the ages 40 to 44.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 40-44, male
Definition: Male population between the ages 40 to 44.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 45-49, female
Definition: Female population between the ages 45 to 49.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 45-49, male
Definition: Male population between the ages 45 to 49.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 50-54, female
Definition: Female population between the ages 50 to 54.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 50-54, male
Definition: Male population between the ages 50 to 54.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 55-59, female
Definition: Female population between the ages 55 to 59.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 55-59, male
Definition: Male population between the ages 55 to 59.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 60-64, female
Definition: Female population between the ages 60 to 64.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 60-64, male
Definition: Male population between the ages 60 to 64.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 65-69, female
Definition: Female population between the ages 65 to 69.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 65-69, male
Definition: Male population between the ages 65 to 69.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 70-74, female
Definition: Female population between the ages 70 to 74.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 70-74, male
Definition: Male population between the ages 70 to 74.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 75-79, female
Definition: Female population between the ages 75 to 79.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 75-79, male
Definition: Male population between the ages 75 to 79.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 80 and above, female
Definition: Female population between the ages 80 and above.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 80 and above, male
Definition: Male population between the ages 80 and above.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
The "Prevalence of overweight, weight for height (% of children under 5)" indicator page provides information on the following indicators:
Prevalence of overweight, weight for height, female (% of children under 5)
Definition: Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of overweight, weight for height, male (% of children under 5)
Definition: Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of overweight, weight for height (% of children under 5)
Definition: Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
The "Prevalence of severe wasting, weight for height (% of children under 5)" indicator page provides information on the following indicators:
Prevalence of severe wasting, weight for height, female (% of children under 5)
Definition: Prevalence of severe wasting, female, is the proportion of girls under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of severe wasting, weight for height, male (% of children under 5)
Definition: Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of severe wasting, weight for height (% of children under 5)
Definition: Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
The "Prevalence of stunting, height for age (% of children under 5)" indicator page provides information on the following indicators:
Prevalence of stunting, height for age, female (% of children under 5)
Definition: Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of stunting, height for age, male (% of children under 5)
Definition: Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of stunting, height for age (% of children under 5)
Definition: Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
The "Prevalence of underweight, weight for age (% of children under 5)" indicator page provides information on the following indicators:
Prevalence of underweight, weight for age, female (% of children under 5)
Definition: Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of underweight, weight for age, male (% of children under 5)
Definition: Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of underweight, weight for age (% of children under 5)
Definition: Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
The "Prevalence of wasting, weight for height (% of children under 5)" indicator page provides information on the following indicators:
Prevalence of wasting, weight for height, female (% of children under 5)
Definition: Prevalence of wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of wasting, weight for height, male (% of children under 5)
Definition: Prevalence of wasting, male, is the proportion of boys under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of wasting, weight for height (% of children under 5)
Definition: Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
The "Primary completion rate, total (% of relevant age group)" indicator page provides information on the following indicators:
Primary completion rate, female (% of relevant age group)
Definition: Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
Primary completion rate, male (% of relevant age group)
Definition: Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
Primary completion rate, total (% of relevant age group)
Definition: Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "Primary completion rate, total, based on completers" indicator page provides information on the following indicators:
Primary completion rate, female, based on completers
Definition: Primary completion rate is the percentage of students completing the last year of primary school. The rate based on completers is calculated by taking the total number of completers in the last grade of primary school divided by the total number of children of official graduation age.
Source:
Primary completion rate, male, based on completers
Definition: Primary completion rate is the percentage of students completing the last year of primary school. The rate based on completers is calculated by taking the total number of completers in the last grade of primary school divided by the total number of children of official graduation age.
Source:
Primary completion rate, total, based on completers
Definition: Primary completion rate is the percentage of students completing the last year of primary school. The rate based on completers is calculated by taking the total number of completers in the last grade of primary school divided by the total number of children of official graduation age.
Source:
The "Primary education, pupils (% female)" indicator page provides information on the following indicators:
Primary education, pupils (% female)
Definition: Female pupils as a percentage of total pupils at primary level include enrollments in public and private schools.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Primary school age children out-of-school (%)" indicator page provides information on the following indicators:
Female primary school age children out-of-school (%)
Definition: The Out-of-School adjustment in our Learning Poverty indicator relies on enrollment data. Our preferred definition is the adjusted net primary enrollment as reported by UIS.
Source: Word Bank and UNESCO Institute for Statistics
Male primary school age children out-of-school (%)
Definition: The Out-of-School adjustment in our Learning Poverty indicator relies on enrollment data. Our preferred definition is the adjusted net primary enrollment as reported by UIS.
Source: Word Bank and UNESCO Institute for Statistics
The "Proportion who initiated sexual intercourse by or before age 15" indicator page provides information on the following indicators:
Women who initiated sexual intercourse before age 15 (% of women ages 15-19)
Definition: Percentage of women ages 15-19 who initiated sexual intercourse before age 15.
Source: Demographic and Health Surveys (DHS)
Men who initiated sexual intercourse before age 15 (% of men ages 15-19)
Definition: Percentage of men ages 15-19 who initiated sexual intercourse before age 15.
Source: Demographic and Health Surveys (DHS)
Women who initiated sexual intercourse by age 15 (% of women ages 20-24)
Definition: Percentage of women ages 20-24 who initiated sexual intercourse by age 15.
Source: Demographic and Health Surveys (DHS)
Men who initiated sexual intercourse by age 15 (% of men ages 20-24)
Definition: Percentage of men ages 20-24 who initiated sexual intercourse by age 15.
Source: Demographic and Health Surveys (DHS)
The "Pupils below minimum reading proficiency at end of primary (%). Low GAML threshold" indicator page provides information on the following indicators:
Female pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
Definition: This indicator uses on Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments.
Source: Word Bank and UNESCO Institute for Statistics
Male pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
Definition: This indicator uses on Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments.
Source: Word Bank and UNESCO Institute for Statistics
Pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
Definition: This indicator uses on Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments.
Source: Word Bank and UIS
The "School enrollment, gender parity index" indicator page provides information on the following indicators:
School enrollment, primary and secondary (gross), gender parity index (GPI)
Definition: Gender parity index for gross enrollment ratio in primary and secondary education is the ratio of girls to boys enrolled at primary and secondary levels in public and private schools.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, primary (gross), gender parity index (GPI)
Definition: Gender parity index for gross enrollment ratio in primary education is the ratio of girls to boys enrolled at primary level in public and private schools.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, secondary (gross), gender parity index (GPI)
Definition: Gender parity index for gross enrollment ratio in secondary education is the ratio of girls to boys enrolled at secondary level in public and private schools.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, tertiary (gross), gender parity index (GPI)
Definition: Gender parity index for gross enrollment ratio in tertiary education is the ratio of women to men enrolled at tertiary level in public and private schools.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
The "School enrollment, preprimary (% gross)" indicator page provides information on the following indicators:
School enrollment, preprimary, female (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, preprimary, male (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, preprimary (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "School enrollment, primary (% gross)" indicator page provides information on the following indicators:
School enrollment, primary, female (% net)
Definition: Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Source: UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO), uri: http://uis.unesco.org/, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, primary, male (% net)
Definition: Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, primary (% net)
Definition: Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, primary, female (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
School enrollment, primary, male (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
School enrollment, primary (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "Sex ratio at birth (male births per female births)" indicator page provides information on the following indicators:
Sex ratio at birth (male births per female births)
Definition: Sex ratio at birth refers to male births per female births.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division
The "Share of all students in lower secondary education enrolled in vocational programmes (%)" indicator page provides information on the following indicators:
Percentage of female students in lower secondary education enrolled in vocational programmes, female (%)
Definition: Total number of female students enrolled in vocational programmes at the lower secondary education level, expressed as a percentage of the total number of female students enrolled in all programmes (vocational and general) at the lower secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Percentage of male students in lower secondary education enrolled in vocational programmes, male (%)
Definition: Total number of male students enrolled in vocational programmes at the lower secondary education level, expressed as a percentage of the total number of male students enrolled in all programmes (vocational and general) at the lower secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Share of all students in lower secondary education enrolled in vocational programmes (%)
Definition: Total number of students enrolled in vocational programmes at the lower secondary education level, expressed as a percentage of the total number of students enrolled in all programmes (vocational and general) at the lower secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics
The "Women who experienced first sexual violence before age 15, 18, or 22 (% of women ages 15-49)" indicator page provides information on the following indicators:
Women who experienced first sexual violence before age 15 (% of women ages 15-49)
Definition: Percentage of women ages 15-49 who first experienced sexual violence before exact age 15
Source: Demographic and Health Surveys (DHS)
Women who experienced first sexual violence before age 18 (% of women ages 15-49)
Definition: Percentage of women ages 15-49 who first experienced sexual violence before exact age 18
Source: Demographic and Health Surveys (DHS)
Women who experienced first sexual violence before age 22 (% of women ages 15-49)
Definition: Percentage of women ages 15-49 who first experienced sexual violence before exact age 22
Source: Demographic and Health Surveys (DHS)
The "Adolescent fertility rate (births per 1,000 women ages 15-19)" indicator page provides information on the following indicators:
Adolescent fertility rate (births per 1,000 women ages 15-19)
Definition: Adolescent fertility rate is the number of births per 1,000 women ages 15-19.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division
The "Antiretroviral therapy coverage (% of adults living with HIV)" indicator page provides information on the following indicators:
Antiretroviral therapy coverage (% of adult females living with HIV)
Definition: The percentage of adult females living with HIV who are receiving antiretroviral therapy.
Source: UNAIDS estimates.
Antiretroviral therapy coverage (% of adult males living with HIV)
Definition: The percentage of adult males living with HIV who are receiving antiretroviral therapy.
Source: UNAIDS estimates.
The "Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV)" indicator page provides information on the following indicators:
Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV)
Definition: Percentage of pregnant women with HIV who receive antiretroviral medicine for prevention of mother-to-child transmission (PMTCT).
Source: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS), uri: https://aidsinfo.unaids.org/, publisher: UNAIDS, date accessed: 2025-08-27, date published: 2025-07
The "Births attended by skilled health staff (% of total)" indicator page provides information on the following indicators:
Births attended by skilled health staff (% of total)
Definition: Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.
Source: State of the World's Children, UN Children's Fund (UNICEF);
Childinfo, UN Children's Fund (UNICEF);
Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program
The "Borrowed for health or medical purposes (% age 15+)" indicator page provides information on the following indicators:
Borrowed for health or medical purposes (% age 15+)
Definition: The percentage of respondents who report borrowing any money for health or medical purposes in the past year, (% age 15+)
Source: Global Findex Database
Borrowed for health or medical purposes, women (% age 15+)
Definition: The percentage of respondents who report borrowing any money for health or medical purposes in the past year, women (% age 15+)
Source: Global Findex Database
Borrowed for health or medical purposes, men (% age 15+)
Definition: The percentage of respondents who report borrowing any money for health or medical purposes in the past year, men (% age 15+)
Source: Global Findex Database
The "Cause of death (%)" indicator page provides information on the following indicators:
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, female (% of total female deaths)
Definition: Number of female deaths due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, male (% of total male deaths)
Definition: Number of male deaths due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)
Definition: Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, female (% of total female deaths)
Definition: Number of female deaths due to injury divided by number of all female deaths, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, male (% of total male deaths)
Definition: Number of male deaths ages due to injury divided by number of all male deaths ages, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury (% of total)
Definition: Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, female (% of total female deaths)
Definition: Number of female deaths due to non-communicable diseases divided by number of all female deaths, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, male (% of total male deaths)
Definition: Number of male deaths ages due to non-communicable diseases divided by number of all male deaths ages, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases (% of total)
Definition: Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, female (% of total female deaths ages 0-4)
Definition: Number of female deaths ages 0-4 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, male (% of total male deaths ages 0-4)
Definition: Number of male deaths ages 0-4 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4 (% of total deaths ages 0-4)
Definition: Number of deaths ages 0-4 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 0-4, female (% of total female deaths ages 0-4)
Definition: Number of female deaths ages 0-4 due to injury divided by number of all female deaths ages 0-4, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 0-4, male (% of total male deaths ages 0-4)
Definition: Number of male deaths ages 0-4 due to injury divided by number of all male deaths ages 0-4, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 0-4 (% of total deaths ages 0-4)
Definition: Number of deaths ages 0-4 due to injury divided by number of all deaths ages 0-4, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 0-4, female (% of total female deaths ages 0-4)
Definition: Number of female deaths ages 0-4 due to non-communicable diseases divided by number of all female deaths ages 0-4, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 0-4, male (% of total male deaths ages 0-4)
Definition: Number of male deaths ages 0-4 due to non-communicable diseases divided by number of all male deaths ages 0-4, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 0-4 (% of total deaths ages 0-4)
Definition: Number of deaths ages 0-4 due to non-communicable diseases divided by number of all deaths ages 0-4, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, female (% of total female deaths ages 5-14)
Definition: Number of female deaths ages 5-14 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 5-14, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, male (% of total male deaths ages 5-14)
Definition: Number of male deaths ages 5-14 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 5-14, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14 (% of total deaths ages 5-14)
Definition: Number of deaths ages 5-14 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 5-14, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 5-14, female (% of total female deaths ages 5-14)
Definition: Number of female deaths ages 5-14 due to injury divided by number of all female deaths ages 5-14, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 5-14, male (% of total male deaths ages 5-14)
Definition: Number of male deaths ages 5-14 due to injury divided by number of all male deaths ages 5-14, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 5-14 (% of total deaths ages 5-14)
Definition: Number of deaths ages 5-14 due to injury divided by number of all deaths ages 5-14, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 5-14, female (% of total female deaths ages 5-14)
Definition: Number of female deaths ages 5-14 due to non-communicable diseases divided by number of all female deaths ages 5-14, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 5-14, male (% of total male deaths ages 5-14)
Definition: Number of male deaths ages 5-14 due to non-communicable diseases divided by number of all male deaths ages 5-14, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 5-14 (% of total deaths ages 5-14)
Definition: Number of deaths ages 5-14 due to non-communicable diseases divided by number of all deaths ages 5-14, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, female (% of total female deaths ages 15-59)
Definition: Number of female deaths ages 15-59 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 15-59, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, male (% of total male deaths ages 15-59)
Definition: Number of male deaths ages 15-59 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 15-59, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59 (% of total deaths ages 15-59)
Definition: Number of deaths ages 15-59 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 15-59, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 15-59, female (% of total female deaths ages 15-59)
Definition: Number of female deaths ages 15-59 due to injury divided by number of all female deaths ages 15-59, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 15-59, male (% of total male deaths ages 15-59)
Definition: Number of male deaths ages 15-59 due to injury divided by number of all male deaths ages 15-59, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 15-59 (% of total deaths ages 15-59)
Definition: Number of deaths ages 15-59 due to injury divided by number of all deaths ages 15-59, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 15-59, female (% of total female deaths ages 15-59)
Definition: Number of female deaths ages 15-59 due to non-communicable diseases divided by number of all female deaths ages 15-59, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 15-59, male (% of total male deaths ages 15-59)
Definition: Number of male deaths ages 15-59 due to non-communicable diseases divided by number of all male deaths ages 15-59, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 15-59 (% of total deaths ages 15-59)
Definition: Number of deaths ages 15-59 due to non-communicable diseases divided by number of all deaths ages 15-59 expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, female (% of total female deaths ages 60+)
Definition: Number of female deaths ages 60+ due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 60+, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, male (% of total male deaths ages 60+)
Definition: Number of male deaths ages 60+ due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 60+, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+ (% of total deaths ages 60+)
Definition: Number of deaths ages 60+ due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 60+, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 60+, female (% of total female deaths ages 60+)
Definition: Number of female deaths ages 60+ due to injury divided by number of all female deaths ages 60+, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 60+, male (% of total male deaths ages 60+)
Definition: Number of male deaths ages 60+ due to injury divided by number of all male deaths ages 60+, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 60+ (% of total deaths ages 60+)
Definition: Number of deaths ages 60+ due to injury divided by number of all deaths ages 60+, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 60+, female (% of total female deaths ages 60+)
Definition: Number of female deaths ages 60+ due to non-communicable diseases divided by number of all female deaths ages 60+, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 60+, male (% of total male deaths ages 60+)
Definition: Number of male deaths ages 60+ due to non-communicable diseases divided by number of all male deaths ages 60+, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 60+ (% of total deaths ages 60+)
Definition: Number of deaths ages 60+ due to non-communicable diseases divided by number of all deaths ages 60+, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
The "Cause of death, by other COVID-19 pandemic-related outcomes (% of total deaths)" indicator page provides information on the following indicators:
Cause of death, by other COVID-19 pandemic-related outcomes, female (% of total female deaths)
Definition: Number of female deaths due to other COVID-19 pandemic-related outcomes divided by number of all female deaths, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes, male (% of total male deaths)
Definition: Number of male deaths due to other COVID-19 pandemic-related outcomes divided by number of all male deaths, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes (% of total)
Definition: Cause of death refers to the share of all deaths for all ages by underlying causes. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or the indirect COVID causes. These are estimated by subtracting COVID-19 specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes, ages 0-4, female (% of total female deaths ages 0-4)
Definition: Number of female deaths ages 0-4 due to other COVID-19 pandemic-related outcomes divided by number of all female deaths ages 0-4, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes, ages 0-4, male (% of total male deaths ages 0-4)
Definition: Number of male deaths ages 0-4 due to other COVID-19 pandemic-related outcomes divided by number of all male deaths ages 0-4, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes, ages 0-4 (% of total deaths ages 0-4)
Definition: Number of deaths ages 0-4 due to other COVID-19 pandemic-related outcomes divided by number of all deaths ages 0-4, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes, ages 5-14, female (% of total female deaths ages 5-14)
Definition: Number of female deaths ages 5-14 due to other COVID-19 pandemic-related outcomes divided by number of all female deaths ages 5-14, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes, ages 5-14, male (% of total male deaths ages 5-14)
Definition: Number of male deaths ages 5-14 due to other COVID-19 pandemic-related outcomes divided by number of all male deaths ages 5-14, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes, ages 5-14 (% of total deaths ages 5-14)
Definition: Number of deaths ages 5-14 due to other COVID-19 pandemic-related outcomes divided by number of all deaths ages 5-14, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes, ages 15-59, female (% of total female deaths ages 15-59)
Definition: Number of female deaths ages 15-59 due to other COVID-19 pandemic-related outcomes divided by number of all female deaths ages 15-59, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes, ages 15-59, male (% of total male deaths ages 15-59)
Definition: Number of male deaths ages 15-59 due to other COVID-19 pandemic-related outcomes divided by number of all male deaths ages 15-59, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes, ages 15-59 (% of total deaths ages 15-59)
Definition: Number of deaths ages 15-59 due to other COVID-19 pandemic-related outcomes divided by number of all deaths ages 15-59, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes, ages 60+, female (% of total female deaths ages 60+)
Definition: Number of female deaths ages 60+ due to other COVID-19 pandemic-related outcomes divided by number of all female deaths ages 60+, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes, ages 60+, male (% of total male deaths ages 60+)
Definition: Number of male deaths ages 60+ due to other COVID-19 pandemic-related outcomes divided by number of all male deaths ages 60+, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by other COVID-19 pandemic-related outcomes, ages 60+ (% of total deaths ages 60+)
Definition: Number of deaths ages 60+ due to other COVID-19 pandemic-related outcomes divided by number of all deaths ages 60+, expressed by percentage. Other COVID-19 pandemic-related outcomes capture all deaths due to the pandemic which were not specifically caused by COVID-19 or indirect COVID-19 causes. These are estimated by subtracting COVID-19-specific deaths and deaths attributed to indirect COVID-19 causes from total excess mortality.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
The "Comprehensive correct knowledge of HIV/AIDS (2 prevent ways and reject 3 misconceptions)" indicator page provides information on the following indicators:
Comprehensive correct knowledge of HIV/AIDS, ages 15-49, female (2 prevent ways and reject 3 misconceptions)
Definition: Knowledge of HIV, female, is the percentage of female respondents who correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms and limiting sex to one faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission, and who know that a healthy-looking person can have HIV.
Source: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
Comprehensive correct knowledge of HIV/AIDS, ages 15-49, male (2 prevent ways and reject 3 misconceptions)
Definition: Knowledge of HIV, male, is the percentage of male respondents who correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms and limiting sex to one faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission, and who know that a healthy-looking person can have HIV.
Source: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
Comprehensive correct knowledge of HIV/AIDS, ages 15-24, female (2 prevent ways and reject 3 misconceptions)
Definition: The percent of female respondents ages 15-24 who correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms and limiting sex to one faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission, and who know that a healthy-looking person can have HIV.
Source: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
Comprehensive correct knowledge of HIV/AIDS, ages 15-24, male (2 prevent ways and reject 3 misconceptions)
Definition: The percent of male respondents ages 15-24 who correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms and limiting sex to one faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission, and who know that a healthy-looking person can have HIV.
Source: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
The "Condom use at last high-risk sex (% ages 15-49)" indicator page provides information on the following indicators:
Condom use at last high-risk sex, adult female (% ages 15-49)
Definition: Condom use at last high-risk sex, female is the percentage of the female population ages 15-49 who used a condom at last intercourse with a non-marital and non-cohabiting sexual partner in the last 12 months.
Source: Demographic and Health Surveys, and UNAIDS.
Condom use at last high-risk sex, adult male (% ages 15-49)
Definition: Condom use at last high-risk sex, male is the percentage of the male population ages 15-49 who used a condom at last intercourse with a non-marital and non-cohabiting sexual partner in the last 12 months.
Source: Demographic and Health Surveys, and UNAIDS.
The "Contraceptive prevalence (% of women ages 15-49)" indicator page provides information on the following indicators:
Contraceptive prevalence, any modern method (% of married women ages 15-49)
Definition: Contraceptive prevalence, any modern method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, at least one modern method of contraception. Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.
Source: Household surveys, United Nations (UN), note: Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division., publisher: UN Population Division
Contraceptive prevalence, any method (% of married women ages 15-49)
Definition: Contraceptive prevalence, any method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, any method of contraception (modern or traditional). Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception. Traditional methods of contraception include rhythm (e.g., fertility awareness based methods, periodic abstinence), withdrawal and other traditional methods.
Source: Household surveys, United Nations (UN), note: Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division., publisher: UN Population Division
The "Demand for family planning satisfied (% of married women with demand for family planning)" indicator page provides information on the following indicators:
Demand for family planning satisfied by any methods (% of married women with demand for family planning)
Definition: Demand for family planning satisfied by any methods refers to the percentage of married women ages 15-49 whose need for family planning is satisfied.
Source: Demographic and Health Surveys.
Demand for family planning satisfied by modern methods (% of married women with demand for family planning)
Definition: Demand for family planning satisfied by modern methods refers to the percentage of married women ages 15-49 years whose need for family planning is satisfied with modern methods.
Source: Demographic and Health Surveys (DHS), uri: FP_NADM_W_PDM, date accessed: 2026-06-15
The "Female genital mutilation prevalence (%)" indicator page provides information on the following indicators:
Female genital mutilation prevalence (%)
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons.
Source: UNICEF DATA, UN Children's Fund (UNICEF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_15-49_FGM; Indicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), type: API, date accessed: 2023-12-07;
Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS) and other surverys, Demographic and Health Surveys (DHS) Program, uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_15-49_FGM; Indicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), publisher: The DHS Program (ICF), type: API, date accessed: 2023-12-07;
DHS API, Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: PT_F_15-49_FGM; Indicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), date accessed: 2023-12-07
Female genital mutilation prevalence (%): Q1 (lowest)
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Female genital mutilation prevalence (%): Q2
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Female genital mutilation prevalence (%): Q3
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Female genital mutilation prevalence (%): Q4
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Female genital mutilation prevalence (%): Q5 (highest)
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
The "Fertility Planning Status (% of births)" indicator page provides information on the following indicators:
Fertility planning status: unwanted pregnancy (% of births)
Definition: The proportion of women ages 15-49 who reported the last birth in the five years preceding the survery was unwanted.
Source: Demographic and Health Surveys (DHS)
Fertility planning status: planned pregnancy (% of births)
Definition: The proportion of women ages 15-49 who reported the last birth in the five years preceding the survery was planned (wanted then).
Source: Demographic and Health Surveys (DHS)
Fertility planning status: mistimed pregnancy (% of births)
Definition: The proportion of women ages 15-49 who reported the last birth in the five years preceding the survery was mistimed (wanted later).
Source: Demographic and Health Surveys (DHS)
The "Fertility rate, total (births per woman)" indicator page provides information on the following indicators:
Fertility rate, total (births per woman)
Definition: Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs);
Demographic Statistics, Eurostat (ESTAT)
The "Human capital index plus (HCI+): health pillar score (scale 0-50)" indicator page provides information on the following indicators:
Human capital index plus (HCI+): health pillar score, female (scale 0–50)
Definition: The human capital index plus (HCI+): health pillar score captures productivity effects of surviving to working age and achieving adequate early-life physical growth.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://humancapital.worldbank.org/en/home
Human capital index plus (HCI+): health pillar score, male (scale 0–50)
Definition: The human capital index plus (HCI+): health pillar score captures productivity effects of surviving to working age and achieving adequate early-life physical growth.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://humancapital.worldbank.org/en/home
Human capital index plus (HCI+): health pillar score, total (scale 0–50)
Definition: The human capital index plus (HCI+): health pillar score captures productivity effects of surviving to working age and achieving adequate early-life physical growth.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://humancapital.worldbank.org/en/home
The "Incidence of HIV (per 1,000 uninfected population)" indicator page provides information on the following indicators:
Incidence of HIV, ages 15-24, female (per 1,000 uninfected female population ages 15-24)
Definition: Number of new HIV infections among uninfected male populations ages 15-24 expressed per 1,000 uninfected male population ages 15-24 in the year before the period.
Source: UNAIDS estimates.
Incidence of HIV, ages 15-24, male (per 1,000 uninfected male population ages 15-24)
Definition: Number of new HIV infections among uninfected female populations ages 15-24 expressed per 1,000 uninfected female population ages 15-24 in the year before the period.
Source: UNAIDS estimates.
Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24)
Definition: Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.
Source: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS), uri: https://aidsinfo.unaids.org/, publisher: UNAIDS, date accessed: 2025-08-27, date published: 2025-07
Incidence of HIV, ages 15-49, female (per 1,000 uninfected female population ages 15-49)
Definition: Number of new HIV infections among uninfected female populations ages 15-49 expressed per 1,000 uninfected female population ages 15-49 in the year before the period.
Source: UNAIDS estimates.
Incidence of HIV, ages 15-49, male (per 1,000 uninfected male population ages 15-49)
Definition: Number of new HIV infections among uninfected male populations ages 15-49 expressed per 1,000 uninfected male population ages 15-49 in the year before the period.
Source: UNAIDS estimates.
Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)
Definition: Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period.
Source: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS), uri: https://aidsinfo.unaids.org/, publisher: UNAIDS, date accessed: 2025-08-27, date published: 2025-07
The "Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)" indicator page provides information on the following indicators:
Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)
Definition: Percentage of women aged 15 - 49 with a live birth in the recent years preceding the survey who received 3+ doses of sulfadoxine-pyrimethamine (SP/Fansidar), at least one during an antenatal care visit. Intermittent Preventive Treatment (IPT) is preventive treatment with SP/Fansidar during an antenatal care (ANC) visit treatment with a dose of sulfadoxine-pyrimethamine (SP/Fansidar) to pregnant women at each scheduled antenatal visit after the first trimester, but not more frequently than once a month.
Source: UNICEF Global Databases [data.unicef.org], Multiple Indicator Cluster Surveys, Demographic and Health Surveys.
The "Knowledge of contraception methods (%)" indicator page provides information on the following indicators:
Knowledge of any method of contraception (% of married women ages 15-49)
Definition: Percentage of currently married or in union women ages 15-49 who know any method of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. Traditional methods includes periodic abstinence (rhythm, calendar method) and withdrawal.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any modern method of contraception (% of married women ages 15-49)
Definition: Percentage of currently married or in union women ages 15-49 who know at least one of modern methods of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any method of contraception (% of married men)
Definition: Percentage of currently married or in union men who know any method of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. Traditional methods includes periodic abstinence (rhythm, calendar method) and withdrawal. The age range of men depends on surveys. In most DHS surveys, men ages 15-49, 15-54, or 15-59 are eligible for individual interviews.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any modern method of contraception (% of married men)
Definition: Percentage of currently married or in union men who know at least one of modern methods of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. In most DHS surveys, men ages 15-49, 15-54, or 15-59 are eligible for individual interviews.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any method of contraception (% of all women ages 15-49)
Definition: Percentage of all women ages 15-49 who know any method of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. Traditional methods includes periodic abstinence (rhythm, calendar method) and withdrawal.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any modern method of contraception (% of all women ages 15-49)
Definition: Percentage of all women ages 15-49 who know at least one of modern methods of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any method of contraception (% of all men)
Definition: Percentage of all men who know any method of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. Traditional methods includes periodic abstinence (rhythm, calendar method) and withdrawal. The age range of men depends on surveys. In most DHS surveys, men ages 15-49, 15-54, or 15-59 are eligible for individual interviews.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any modern method of contraception (% of all men)
Definition: Percentage of all men who know at least one of modern methods of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. The age range of men depends on surveys. In most DHS surveys, men ages 15-49, 15-54, or 15-59 are eligible for individual interviews.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
The "Lifetime risk of maternal death (%)" indicator page provides information on the following indicators:
Lifetime risk of maternal death (%)
Definition: Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.
Source: Trends in Maternal Mortality, World Health Organization (WHO);
UN Children's Fund (UNICEF), note: Trends in Maternal Mortality;
UN Population Fund (UNFPA), note: Trends in Maternal Mortality;
World Bank Group (WBG), note: Trends in Maternal Mortality
The "Lifetime risk of maternal death (1 in: rate varies by country)" indicator page provides information on the following indicators:
Lifetime risk of maternal death (1 in: rate varies by country)
Definition: Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.
Source: Trends in Maternal Mortality, World Health Organization (WHO);
UN Children's Fund (UNICEF), note: Trends in Maternal Mortality;
UN Population Fund (UNFPA), note: Trends in Maternal Mortality;
World Bank Group (WBG), note: Trends in Maternal Mortality
The "Maternal mortality ratio (modeled estimate, per 100,000 live births)" indicator page provides information on the following indicators:
Maternal mortality ratio (modeled estimate, per 100,000 live births)
Definition: Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).
Source: Trends in Maternal Mortality, World Health Organization (WHO), uri: https://www.who.int/news/item/23-02-2023-a-woman-dies-every-two-minutes-due-to-pregnancy-or-childbirth--un-agencies;
UN Children's Fund (UNICEF), note: Trends in Maternal Mortality;
UN Population Fund (UNFPA), note: Trends in Maternal Mortality;
World Bank Group (WBG), note: Trends in Maternal Mortality
Maternal mortality ratio (national estimate, per 100,000 live births)
Definition: Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births.
Source: Maternal Mortality Estimation Inter-Agency Group (MMEIG), World Health Organization (WHO), note: The country data compiled, adjusted and used in the estimation model by the Maternal Mortality Estimation Inter-Agency Group (MMEIG). The country data were compiled from the following sources: civil registration and vital statistics; specialized studies on maternal mortality; population based surveys and censuses; other available data sources including data from surveillance sites.;
UN Children's Fund (UNICEF), note: Maternal Mortality Estimation Inter-Agency Group (MMEIG);
UN Population Fund (UNFPA), note: Maternal Mortality Estimation Inter-Agency Group (MMEIG);
World Bank Group (WBG), note: Maternal Mortality Estimation Inter-Agency Group (MMEIG);
United Nations (UN), note: Maternal Mortality Estimation Inter-Agency Group (MMEIG);
Pan American Health Organization (PAHO), note: Core Indicators Portal;
Demographic and Health Surveys (DHS) Program, note: The DHS Program, Demographic and Health Surveys
The "Mortality caused by road traffic injury (per 100,000 population)" indicator page provides information on the following indicators:
Mortality caused by road traffic injury, female (per 100,000 female population)
Definition: Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
Mortality caused by road traffic injury, male (per 100,000 male population)
Definition: Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
Mortality caused by road traffic injury (per 100,000 population)
Definition: Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%)" indicator page provides information on the following indicators:
Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, female (%)
Definition: Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, male (%)
Definition: Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%)
Definition: Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)" indicator page provides information on the following indicators:
Mortality rate attributed to household and ambient air pollution, age-standardized, female (per 100,000 female population)
Definition: Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality rate attributed to household and ambient air pollution, age-standardized, male (per 100,000 male population)
Definition: Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)
Definition: Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Mortality rate attributed to unintentional poisoning (per 100,000 population)" indicator page provides information on the following indicators:
Mortality rate attributed to unintentional poisoning, female (per 100,000 female population)
Definition: Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality rate attributed to unintentional poisoning, male (per 100,000 male population)
Definition: Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can
be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality rate attributed to unintentional poisoning (per 100,000 population)
Definition: Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can
be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population)" indicator page provides information on the following indicators:
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene, female (per 100,000 female population)
Definition: Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene, male (per 100,000 male population)
Definition: Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population)
Definition: Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Mortality rate, adult (per 1,000 adults)" indicator page provides information on the following indicators:
Mortality rate, adult, female (per 1,000 female adults)
Definition: Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Human Mortality Database, Max Planck Institute for Demographic Research, uri: www.mortality.org;
University of California, Berkeley, uri: www.mortality.org, note: Human Mortality Database;
French Institute for Demographic Studies (INED), uri: www.mortality.org, note: Human Mortality Database
Mortality rate, adult, male (per 1,000 male adults)
Definition: Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Human Mortality Database, Max Planck Institute for Demographic Research (MPIDR), uri: www.mortality.org;
University of California, Berkeley (USA), uri: www.mortality.org, note: Human Mortality Database;
French Institute for Demographic Studies (INED), uri: www.mortality.org, note: Human Mortality Database
The "Mortality rate, infant (per 1,000 live births)" indicator page provides information on the following indicators:
Mortality rate, infant, female (per 1,000 live births)
Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
Mortality rate, infant, male (per 1,000 live births)
Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
Mortality rate, infant (per 1,000 live births)
Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
The "Mortality rate, under-5 (per 1,000 live births)" indicator page provides information on the following indicators:
Mortality rate, under-5, female (per 1,000 live births)
Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
Mortality rate, under-5, male (per 1,000 live births)
Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
Mortality rate, under-5 (per 1,000 live births)
Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org, publisher: UNICEF, WHO, World Bank, United Nations Population Division;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
The "Number of infant deaths" indicator page provides information on the following indicators:
Number of infant deaths, female
Definition: Number of female infants dying before reaching one year of age.
Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
Number of infant deaths, male
Definition: Number of male infants dying before reaching one year of age.
Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
Number of infant deaths
Definition: Number of infants dying before reaching one year of age.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
The "Number of maternal deaths" indicator page provides information on the following indicators:
Number of maternal deaths
Definition: A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.
Source: Trends in Maternal Mortality, World Health Organization (WHO);
UN Children's Fund (UNICEF), note: Trends in Maternal Mortality;
UN Population Fund (UNFPA), note: Trends in Maternal Mortality;
World Bank Group (WBG), note: Trends in Maternal Mortality
The "Number of stillbirths" indicator page provides information on the following indicators:
Number of stillbirths
Definition: Number of fetal deaths at 28 weeks or more of gestation
Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
The "Number of under-five deaths" indicator page provides information on the following indicators:
Number of under-five deaths, female
Definition: Number of female children dying before reaching age five.
Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
Number of under-five deaths, male
Definition: Number of male children dying before reaching age five.
Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
The "Pregnant women receiving prenatal care (%)" indicator page provides information on the following indicators:
Pregnant women receiving prenatal care (%)
Definition: Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.
Source: State of the World's Children, UN Children's Fund (UNICEF);
Childinfo, UN Children's Fund (UNICEF);
Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program
The "Pregnant women receiving prenatal care of at least four visits (% of pregnant women)" indicator page provides information on the following indicators:
Pregnant women receiving prenatal care of at least four visits (% of pregnant women)
Definition: Pregnant women receiving prenatal care, at least four times, are the percentage of women attended at least four times during pregnancy by skilled health personnel for reasons related to pregnancy.
Source: UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
The "Prevalence of HIV (% ages 15-24)" indicator page provides information on the following indicators:
Prevalence of HIV, female (% ages 15-24)
Definition: Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.
Source: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS), uri: https://aidsinfo.unaids.org/, publisher: UNAIDS, date accessed: 2025-08-27, date published: 2025-07
Prevalence of HIV, male (% ages 15-24)
Definition: Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group.
Source: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS), uri: https://aidsinfo.unaids.org/, publisher: UNAIDS, date accessed: 2025-08-27, date published: 2025-07
The "Prevalence of anemia among non-pregnant women (% of women ages 15-49)" indicator page provides information on the following indicators:
Prevalence of anemia among non-pregnant women (% of women ages 15-49)
Definition: Prevalence of anemia, non-pregnant women, is the percentage of non-pregnant women whose hemoglobin level is less than 120 grams per liter at sea level.
Source: Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO)
The "Prevalence of anemia among pregnant women (%)" indicator page provides information on the following indicators:
Prevalence of anemia among pregnant women (%)
Definition: Prevalence of anemia, pregnant women, is the percentage of pregnant women whose hemoglobin level is less than 110 grams per liter at sea level.
Source: Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO)
The "Prevalence of anemia among women of reproductive age (% of women ages 15-49)" indicator page provides information on the following indicators:
Prevalence of anemia among women of reproductive age (% of women ages 15-49)
Definition: Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL.
Source: Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO)
The "Prevalence of current tobacco use (% of adults)" indicator page provides information on the following indicators:
Prevalence of current tobacco use, females (% of female adults)
Definition: The percentage of the female population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Prevalence of current tobacco use, males (% of male adults)
Definition: The percentage of the male population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Prevalence of current tobacco use (% of adults)
Definition: The percentage of the population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Prevalence of obesity (% of population ages 18+)" indicator page provides information on the following indicators:
Prevalence of obesity, female (% of female population ages 18+)
Definition: Prevalence of obesity adult is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is 30 kg/m² or higher. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.
Source: World Health Organization (WHO):Global Health Observatory Data Repository
Prevalence of obesity, male (% of male population ages 18+)
Definition: Prevalence of obesity adult is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is 30 kg/m² or higher. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.
Source: World Health Organization (WHO): Global Health Observatory Data Repository
The "Prevalence of overweight (% of adults)" indicator page provides information on the following indicators:
Prevalence of overweight, female (% of female adults)
Definition: Prevalence of overweight female adults is the percentage of females ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
Prevalence of overweight, male (% of male adults)
Definition: Prevalence of overweight male adults is the percentage of males ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
Prevalence of overweight (% of adults)
Definition: Prevalence of overweight adults is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
The "Prevalence of overweight (modeled estimate, % of children under 5)" indicator page provides information on the following indicators:
Prevalence of overweight, female (modeled estimate, % of children under 5)
Definition: Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.
Source: Joint child Malnutrition Estimates (JME), UN Children's Fund (UNICEF), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb;
World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb, note: Joint child Malnutrition Estimates (JME);
World Bank (WB), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb, note: Joint child Malnutrition Estimates (JME)
Prevalence of overweight, male (modeled estimate, % of children under 5)
Definition: Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.
Source: Joint child Malnutrition Estimates (JME), UN Children's Fund (UNICEF), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb;
World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb, note: Joint child Malnutrition Estimates (JME);
World Bank (WB), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb, note: Joint child Malnutrition Estimates (JME)
Prevalence of overweight (modeled estimate, % of children under 5)
Definition: Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.
Source: Joint child Malnutrition Estimates (JME), UN Children's Fund (UNICEF), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb;
World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb, note: Joint child Malnutrition Estimates (JME);
World Bank (WB), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb, note: Joint child Malnutrition Estimates (JME)
The "Prevalence of overweight, weight for height (% of children under 5)" indicator page provides information on the following indicators:
Prevalence of overweight, weight for height, female (% of children under 5)
Definition: Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of overweight, weight for height, male (% of children under 5)
Definition: Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of overweight, weight for height (% of children under 5)
Definition: Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
The "Prevalence of severe wasting, weight for height (% of children under 5)" indicator page provides information on the following indicators:
Prevalence of severe wasting, weight for height, female (% of children under 5)
Definition: Prevalence of severe wasting, female, is the proportion of girls under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of severe wasting, weight for height, male (% of children under 5)
Definition: Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of severe wasting, weight for height (% of children under 5)
Definition: Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
The "Prevalence of stunting, height for age (% of children under 5)" indicator page provides information on the following indicators:
Prevalence of stunting, height for age, female (% of children under 5)
Definition: Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of stunting, height for age, male (% of children under 5)
Definition: Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of stunting, height for age (% of children under 5)
Definition: Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
The "Prevalence of stunting, height for age (modeled estimate, % of children under 5)" indicator page provides information on the following indicators:
Prevalence of stunting, height for age, female (modeled estimate, % of children under 5)
Definition: Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.
Source: Joint child Malnutrition Estimates (JME), UN Children's Fund (UNICEF), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb;
World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb, note: Joint child Malnutrition Estimates (JME);
World Bank (WB), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb, note: Joint child Malnutrition Estimates (JME)
Prevalence of stunting, height for age, male (modeled estimate, % of children under 5)
Definition: Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.
Source: Joint child Malnutrition Estimates (JME), UN Children's Fund (UNICEF), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb;
World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb, note: Joint child Malnutrition Estimates (JME);
World Bank (WB), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb, note: Joint child Malnutrition Estimates (JME)
Prevalence of stunting, height for age (modeled estimate, % of children under 5)
Definition: Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.
Source: Joint child Malnutrition Estimates (JME), UN Children's Fund (UNICEF), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb, publisher: JME;
World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb, note: Joint child Malnutrition Estimates (JME), publisher: JME;
World Bank (WB), uri: https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb, note: Joint child Malnutrition Estimates (JME), publisher: JME
The "Prevalence of syphilis (% of women attending antenatal care)" indicator page provides information on the following indicators:
Prevalence of syphilis (% of women attending antenatal care)
Definition: Percentage of women attending antenatal care seropositive for syphilis
Source: World Health Organization's Global Health Observatory Data Repository
The "Prevalence of underweight, weight for age (% of children under 5)" indicator page provides information on the following indicators:
Prevalence of underweight, weight for age, female (% of children under 5)
Definition: Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of underweight, weight for age, male (% of children under 5)
Definition: Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of underweight, weight for age (% of children under 5)
Definition: Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
The "Prevalence of wasting, weight for height (% of children under 5)" indicator page provides information on the following indicators:
Prevalence of wasting, weight for height, female (% of children under 5)
Definition: Prevalence of wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of wasting, weight for height, male (% of children under 5)
Definition: Prevalence of wasting, male, is the proportion of boys under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
Prevalence of wasting, weight for height (% of children under 5)
Definition: Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.
Source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology;
World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
The "Stillbirth rate (per 1,000 total births)" indicator page provides information on the following indicators:
Stillbirth rate (per 1,000 total births)
Definition: Stillbirth rate is the number of fetal deaths at 28 weeks or more of gestation per 1,000 total births. Total birth is the sum of stillbirths (as just defined) and live births.
Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
The "Suicide mortality rate (per 100,000 population)" indicator page provides information on the following indicators:
Suicide mortality rate, female (per 100,000 female population)
Definition: Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Suicide mortality rate, male (per 100,000 male population)
Definition: Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Suicide mortality rate (per 100,000 population)
Definition: Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Survival to age 65 (% of cohort)" indicator page provides information on the following indicators:
Survival to age 65, female (% of cohort)
Definition: Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division
Survival to age 65, male (% of cohort)
Definition: Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division
The "Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)" indicator page provides information on the following indicators:
Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)
Definition: Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant.
Source: Demographic and Health Surveys
The "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)" indicator page provides information on the following indicators:
Total alcohol consumption per capita, female (liters of pure alcohol, projected estimates, female 15+ years of age)
Definition: Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Total alcohol consumption per capita, male (liters of pure alcohol, projected estimates, male 15+ years of age)
Definition: Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)
Definition: Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Unmet need for contraception (% of married women ages 15-49)" indicator page provides information on the following indicators:
Unmet need for contraception (% of married women ages 15-49)
Definition: Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.
Source: Household surveys, United Nations (UN), note: Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division., publisher: UN Population Division
The "Wanted fertility rate (births per woman)" indicator page provides information on the following indicators:
Wanted fertility rate (births per woman)
Definition: Wanted fertility rate is an estimate of what the total fertility rate would be if all unwanted births were avoided.
Source: Demographic and Health Surveys
The "Women and girls who have private places to wash and change during menstrual period (% of women and girls ages 15-49 who had a menstrual period within the last year)" indicator page provides information on the following indicators:
Women and girls who have private places to wash and change during menstrual period (% of women and girls ages 15-49 who had a menstrual period within the last year)
Definition: The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who had a private place to wash their bodies and change their menstrual materials at home during their last menstrual period.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
Women and girls who have private places to wash and change during menstrual period, rural (% of women and girls ages 15-49 living in rural areas who had a menstrual period within the last year)
Definition: The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who had a private place to wash their bodies and change their menstrual materials at home during their last menstrual period.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
Women and girls who have private places to wash and change during menstrual period, urban (% of women and girls ages 15-49 living in urban areas who had a menstrual period within the last year)
Definition: The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who had a private place to wash their bodies and change their menstrual materials at home during their last menstrual period.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
The "Women and girls who participate in activities during menstrual period (% of women and girls ages 15-49 who had a menstrual period within the last year)" indicator page provides information on the following indicators:
Women and girls who participate in activities during menstrual period (% of women and girls ages 15-49 who had a menstrual period within the last year)
Definition: The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who participated in activities (such as school, work, and social activities for those who typically participate in) during their last menstrual period.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
Women and girls who participate in activities during menstrual period, rural (% of women and girls ages 15-49 living in rural areas who had a menstrual period within the last year)
Definition: The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who participated in activities (such as school, work, and social activities for those who typically participate in) during their last menstrual period.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
Women and girls who participate in activities during menstrual period, urban (% of women and girls ages 15-49 living in urban areas who had a menstrual period within the last year)
Definition: The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who participated in activities (such as school, work, and social activities for those who typically participate in) during their last menstrual period.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
The "Women and girls who use menstrual materials (% of women and girls ages 15-49 who had a menstrual period within the last year)" indicator page provides information on the following indicators:
Women and girls who use menstrual materials (% of women and girls ages 15-49 who had a menstrual period within the last year)
Definition: The percentage of the women and girls (ages 15-49 who had a menstrual period with the last year) who used menstrual materials such as sanitary pads, tampons, menstrual cups, cloth, or cotton wool, to capture and contain menstrual blood during their last menstrual period. Those who used paper, underwear alone, or nothing are not classified as using menstrual materials.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
Women and girls who use menstrual materials, rural (% of women and girls ages 15-49 living in rural areas who had a menstrual period within the last year)
Definition: The percentage of the women and girls (ages 15-49 who had a menstrual period with the last year) who used menstrual materials such as sanitary pads, tampons, menstrual cups, cloth, or cotton wool, to capture and contain menstrual blood during their last menstrual period. Those who used paper, underwear alone, or nothing are not classified as using menstrual materials.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
Women and girls who use menstrual materials, urban (% of women and girls ages 15-49 living in urban areas who had a menstrual period within the last year)
Definition: The percentage of the women and girls (ages 15-49 who had a menstrual period with the last year) who used menstrual materials such as sanitary pads, tampons, menstrual cups, cloth, or cotton wool, to capture and contain menstrual blood during their last menstrual period. Those who used paper, underwear alone, or nothing are not classified as using menstrual materials.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
The "Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)" indicator page provides information on the following indicators:
Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)
Definition: Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.
Source: Demographic and Health Surveys compiled by United Nations Population Fund, United Nations (UN), uri: https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html, note: Indicator code from the original source: SH_FPL_INFM; Indicator name from the original source: Proportion of women aged 15–49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care, publisher: UN Statistics Division, type: API, date accessed: 2026-06-17, date published: 2026-03-27
The "Women participating in decisions related to health care, purchases, visiting family, and cooking (%)" indicator page provides information on the following indicators:
Women participating in making major household purchase decisions (% of women age 15-49)
Definition: Women participating in making major household purchase decisions is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in making major household purchases
Source: Demographic and Health Surveys (DHS)
Decision maker about major household purchases: mainly wife (% of women age 15-49)
Definition: Decision maker about major household purchases: mainly wife is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is mainly the respondent
Source: Demographic and Health Surveys (DHS)
Decision maker about major household purchases: wife and husband jointly (% of women age 15-49)
Definition: Decision maker about major household purchases: wife and husband jointly is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is mainly the respondent and her husband
Source: Demographic and Health Surveys (DHS)
Decision maker about major household purchases: mainly husband (% of women age 15-49)
Definition: Decision maker about ajor household purchases: mainly husband is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is mainly the husband
Source: Demographic and Health Surveys (DHS)
Decision maker about major household purchases: someone else (% of women age 15-49)
Definition: Decision maker about Major household purchases: someone else is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is mainly someone else
Source: Demographic and Health Surveys (DHS)
Decision maker about major household purchases: other (% of women age 15-49)
Definition: Decision maker about major household purchases: other is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is recorded as 'other'
Source: Demographic and Health Surveys (DHS)
Women participating in own health care decisions (% of women age 15-49)
Definition: Women Participating in own health care decisions is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in own health care
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's own health care: mainly wife (% of women age 15-49)
Definition: Decision maker about women own health care: mainly wife is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is mainly the respondent
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's own health care: wife and husband jointly (% of women age 15-49)
Definition: Decision maker about women own health care: wife and husband jointly is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is mainly the respondent and her husband
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's own health care: mainly husband (% of women age 15-49)
Definition: Decision maker about women own health care: mainly husband is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is mainly the husband
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's own health care: someone else (% of women age 15-49)
Definition: Decision maker about women own health care: someone else is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is mainly someone else
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's own health care: other (% of women age 15-49)
Definition: Decision maker about women own health care: other is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is recorded as 'other'
Source: Demographic and Health Surveys (DHS)
Women participating in decision of visits to family, relatives, friends (% of women age 15-49)
Definition: Women participating in decision of visits to family, relatives, friends is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in visits to family, relatives, friends
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's visits to her family or relatives: mainly wife (% of women age 15-49)
Definition: Decision maker about a woman's visits to her family or relatives: mainly wife is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is mainly the respondent
Source: Demographic and Health Surveys (DHS)
Decision maker about Visits to her family or relatives: wife and husband jointly (% of women age 15-49)
Definition: Decision maker about Visits to her family or relatives: wife and husband jointly is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is mainly the respondent and her husband
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's visits to her family or relatives: mainly husband (% of women age 15-49)
Definition: Decision maker about a woman's visits to her family or relatives: mainly husband is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is mainly the husband
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's visits to her family or relatives: someone else (% of women age 15-49)
Definition: Decision maker about a woman's visits to her family or relatives: someone else is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is mainly someone else
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's visits to her family or relatives: other (% of women age 15-49)
Definition: Decision maker about a woman's visits to her family or relatives: other is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is recorded as 'other'
Source: Demographic and Health Surveys (DHS)
Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)
Definition: Women participating in the three decisions (own health care, major household purchases, and visiting family) is the percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in all of the three decisions (own health care, large purchases and visits to family, relatives, and friends).
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_DMAK_W_3DC; Indicator name from the original source: Final say in all of the decisions [Women], publisher: The DHS program (ICF), type: API, date accessed: 2023-08-18
Women participating in none of the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)
Definition: Women participating in none of the three decisions (own health care, major household purchases, and visiting family) is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in none of the three decisions (own health care, major household purchases, and visiting family)
Source: Demographic and Health Surveys (DHS)
Women participating in making daily purchase decisions (% of women age 15-49)
Definition: Women participating in making daily purchase decisions is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in making daily purchases
Source: Demographic and Health Surveys (DHS)
Women participating in decision of what food to cook daily (% of women age 15-49)
Definition: Women participating in decision of what food to cook daily is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in what food to cook daily
Source: Demographic and Health Surveys (DHS)
The "Women's share of population ages 15+ living with HIV (%)" indicator page provides information on the following indicators:
Women's share of population ages 15+ living with HIV (%)
Definition: Prevalence of HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population ages 15+ who are living with HIV.
Source: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS), uri: https://aidsinfo.unaids.org/, publisher: UNAIDS, date accessed: 2025-08-27, date published: 2025-07
The "Belief that female genital mutilation should not be continued (% who have heard about FGM)" indicator page provides information on the following indicators:
Women who believe that female genital mutilation should not be continued (% of women ages 15-49 who have heard about FGM)
Definition: Percentage of women ages 15-49 who have heard about female genital mutilation and think the practice should end.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Men who believe that female genital mutilation should not be continued (% of men who have heard about FGM)
Definition: Percentage of men who have heard about female genital mutilation and think the practice should end.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
The "Belief that religion requires female genital mutilation (% who have heard about FGM)" indicator page provides information on the following indicators:
Women who believe religion requires female genital mutilation (% of women ages 15-49 who have heard about FGM)
Definition: Percentage of women ages 15-49 who have heard about female genital mutilation (FGM) and whose opinion is that religion requires FGM.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Men who believe religion requires female genital mutilation (% of men who have heard about FGM)
Definition: Percentage of men who have heard about female genital mutilation (FGM) and whose opinion is that religion requires FGM.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
The "Female genital mutilation prevalence (%)" indicator page provides information on the following indicators:
Female genital mutilation prevalence (%)
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons.
Source: UNICEF DATA, UN Children's Fund (UNICEF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_15-49_FGM; Indicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), type: API, date accessed: 2023-12-07;
Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS) and other surverys, Demographic and Health Surveys (DHS) Program, uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_15-49_FGM; Indicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), publisher: The DHS Program (ICF), type: API, date accessed: 2023-12-07;
DHS API, Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: PT_F_15-49_FGM; Indicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), date accessed: 2023-12-07
Female genital mutilation prevalence (%): Q1 (lowest)
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Female genital mutilation prevalence (%): Q2
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Female genital mutilation prevalence (%): Q3
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Female genital mutilation prevalence (%): Q4
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Female genital mutilation prevalence (%): Q5 (highest)
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
The "Intentional homicides (per 100,000 people)" indicator page provides information on the following indicators:
Intentional homicides, female (per 100,000 female)
Definition: An intentional homicide is defined as an unlawful death inflicted upon a person with the intent to cause death or serious injury.
Source: UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC)
Intentional homicides, male (per 100,000 male)
Definition: An intentional homicide is defined as an unlawful death inflicted upon a person with the intent to cause death or serious injury.
Source: UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC)
Intentional homicides (per 100,000 people)
Definition: An intentional homicide is defined as an unlawful death inflicted upon a person with the intent to cause death or serious injury.
Source: UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC)
The "Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)" indicator page provides information on the following indicators:
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 15-49)
Definition: Proportion of ever-partnered women ages 15-49 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)
Definition: Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women age 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
Source: United Nations (UN), uri: https://unstats.un.org/sdgs/dataportal/database, note: Indicator code from the original source: VC_VAW_MARR; Indicator name from the original source: Proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months, by age (%)
, publisher: UN Statistics Division, type: API;
Global Health Observatory, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/proportion-of-ever-partnered-women-and-girls-aged-15-49-years-subjected-to-physical-and-or-sexual-violence-by-a-current-or-former-intimate-partner-in-the-previous-12-months, publisher: WHO
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 15+)
Definition: Proportion of ever-partnered women ages 15+ who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 15-19)
Definition: Proportion of ever-partnered women ages 15-19 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 20-24)
Definition: Proportion of ever-partnered women ages 20-24 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 25-29)
Definition: Proportion of ever-partnered women ages 25-29 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 30-34)
Definition: Proportion of ever-partnered women ages 30-34 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 65+)
Definition: Proportion of ever-partnered women ages 65+ who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 35-39)
Definition: Proportion of ever-partnered women ages 35-39 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 40-44)
Definition: Proportion of ever-partnered women ages 40-44 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 45-49)
Definition: Proportion of ever-partnered women ages 45-49 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 50-54)
Definition: Proportion of ever-partnered women ages 50-54 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 55-59)
Definition: Proportion of ever-partnered women ages 55-59 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 60-64)
Definition: Proportion of ever-partnered women ages 60-64 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
The "Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (%)" indicator page provides information on the following indicators:
Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (modeled estimate, % of women ages 15+)
Definition: Proportion of women ages 15+ who experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) in the last 12 months, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (modeled estimate, % of women ages 15-49)
Definition: Proportion of women ages 15-49 who experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) in the last 12 months, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (modeled estimate, % of women ages 15-19)
Definition: Proportion of women ages 15-19 who experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) in the last 12 months, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (modeled estimate, % of women ages 20-24)
Definition: Proportion of women ages 20-24 who experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) in the last 12 months, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (modeled estimate, % of women ages 25-29)
Definition: Proportion of women ages 25-29 who experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) in the last 12 months, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (modeled estimate, % of women ages 30-34)
Definition: Proportion of women ages 30-34 who experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) in the last 12 months, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (modeled estimate, % of women ages 35-39)
Definition: Proportion of women ages 35-39 who experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) in the last 12 months, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (modeled estimate, % of women ages 40-44)
Definition: Proportion of women ages 40-44 who experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) in the last 12 months, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (modeled estimate, % of women ages 45-49)
Definition: Proportion of women ages 45-49 who experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) in the last 12 months, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (modeled estimate, % of women ages 50-54)
Definition: Proportion of women ages 50-54 who experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) in the last 12 months, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (modeled estimate, % of women ages 55-59)
Definition: Proportion of women ages 55-59 who experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) in the last 12 months, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (modeled estimate, % of women ages 60-64)
Definition: Proportion of women ages 60-64 who experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) in the last 12 months, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in the last 12 months (modeled estimate, % of women ages 65+)
Definition: Proportion of women ages 65+ who experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) in the last 12 months, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
The "Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (%)" indicator page provides information on the following indicators:
Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (modeled estimate, % of women ages 15+)
Definition: Proportion of women ages 15+ who have ever experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) since age 15, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (modeled estimate, % of women ages 15-49)
Definition: Proportion of women ages 15-49 who have ever experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) since age 15, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (modeled estimate, % of women ages 15-19)
Definition: Proportion of women ages 15-19 who have ever experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) since age 15, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (modeled estimate, % of women ages 20-24)
Definition: Proportion of women ages 20-24 who have ever experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) since age 15, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (modeled estimate, % of women ages 25-29)
Definition: Proportion of women ages 25-29 who have ever experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) since age 15, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (modeled estimate, % of women ages 30-34)
Definition: Proportion of women ages 30-34 who have ever experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) since age 15, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (modeled estimate, % of women ages 35-39)
Definition: Proportion of women ages 35-39 who have ever experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) since age 15, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (modeled estimate, % of women ages 40-44)
Definition: Proportion of women ages 40-44 who have ever experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) since age 15, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (modeled estimate, % of women ages 45-49)
Definition: Proportion of women ages 45-49 who have ever experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) since age 15, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (modeled estimate, % of women ages 50-54)
Definition: Proportion of women ages 50-54 who have ever experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) since age 15, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (modeled estimate, % of women ages 55-59)
Definition: Proportion of women ages 55-59 who have ever experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) since age 15, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (modeled estimate, % of women ages 60-64)
Definition: Proportion of women ages 60-64 who have ever experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) since age 15, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to sexual violence by persons other than an intimate partner in their lifetime (modeled estimate, % of women ages 65+)
Definition: Proportion of women ages 65+ who have ever experienced one or more acts of sexual violence by a non-partner (that is, someone other than a current or former husband or male intimate partner) since age 15, calculated as the share of women reporting such experience among all women in the same age group (all women at risk). Sexual violence includes being forced, coerced, threatened, or intimidated to perform any unwanted sexual act. This may include rape, attempted rape, unwanted sexual touching, or non-contact forms of sexual violence.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
The "Proportion of women who have ever experienced any form of sexual violence (% of women ages 15-49)" indicator page provides information on the following indicators:
Proportion of women who have ever experienced any form of sexual violence (% of women ages 15-49)
Definition: Proportion of women who have ever experienced any form of sexual violence is the percentage of women ages 15-49 who ever experienced sexual violence.
Source: Demographic and Health Surveys (DHS) Statcompiler (https://www.statcompiler.com/)
The "Proportion of women who have ever experienced intimate partner violence (% of ever-partnered women ages 15-49)" indicator page provides information on the following indicators:
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 15-49)
Definition: Proportion of ever-partnered women ages 15-49 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (% of ever-partnered women ages 15-49)
Definition: Proportion of women who have ever experienced intimate partner violence is the percentage of ever-married women (ages 15 - 49) who have ever experienced physical or sexual violence committed by their husband or partner.
Source: Demographic and Health Surveys (DHS) Statcompiler (https://www.statcompiler.com/)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 15+)
Definition: Proportion of ever-partnered women ages 15+ who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 15-19)
Definition: Proportion of ever-partnered women ages 15-19 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 20-24)
Definition: Proportion of ever-partnered women ages 20-24 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 25-29)
Definition: Proportion of ever-partnered women ages 25-29 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 30-34)
Definition: Proportion of ever-partnered women ages 30-34 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 65+)
Definition: Proportion of ever-partnered women ages 65+ who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 35-39)
Definition: Proportion of ever-partnered women ages 35-39 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 40-44)
Definition: Proportion of ever-partnered women ages 40-44 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 45-49)
Definition: Proportion of ever-partnered women ages 45-49 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 50-54)
Definition: Proportion of ever-partnered women ages 50-54 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 55-59)
Definition: Proportion of ever-partnered women ages 55-59 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 60-64)
Definition: Proportion of ever-partnered women ages 60-64 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
The "Proportion of women who have sought help to stop physical or sexual violence (% of ever-married women ages 15-49)" indicator page provides information on the following indicators:
Proportion of women who have sought help to stop physical or sexual violence (% of ever-married women ages 15-49)
Definition: Proportion of women who have sought help to stop physical or sexual violence is the percentage of ever-married women ages 15-49 who have ever experienced any physical or sexual violence who have sought help to stop violence.
Source: Demographic and Health Surveys (DHS) Statcompiler (https://www.statcompiler.com/)
The "Proportion who initiated sexual intercourse by or before age 15" indicator page provides information on the following indicators:
Women who initiated sexual intercourse before age 15 (% of women ages 15-19)
Definition: Percentage of women ages 15-19 who initiated sexual intercourse before age 15.
Source: Demographic and Health Surveys (DHS)
Men who initiated sexual intercourse before age 15 (% of men ages 15-19)
Definition: Percentage of men ages 15-19 who initiated sexual intercourse before age 15.
Source: Demographic and Health Surveys (DHS)
Women who initiated sexual intercourse by age 15 (% of women ages 20-24)
Definition: Percentage of women ages 20-24 who initiated sexual intercourse by age 15.
Source: Demographic and Health Surveys (DHS)
Men who initiated sexual intercourse by age 15 (% of men ages 20-24)
Definition: Percentage of men ages 20-24 who initiated sexual intercourse by age 15.
Source: Demographic and Health Surveys (DHS)
The "Safety Topic (Women, Business and the Law)" indicator page provides information on the following indicators:
WBL: Legal Framework, Safety, Score (scale 0-100)
Definition: The Safety topic legal frameworks score measures laws addressing child marriage, sexual harassment, domestic violence, and femicide. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Safety, The law addresses child marriage
Definition: The indicator assesses whether the law establishes the following: (1) the legal age of marriage is 18 or higher for boys and girls; (2) the law is free of parental consent exceptions to the legal age of marriage; (3) marriage under the legal age is void or voidable; (4) penalties for adults who authorize, celebrate, register, or enter into child marriage. Each component is individually assessed. Score = 1 if all four conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Safety, The law addresses domestic violence
Definition: The indicator assesses whether the following exists: (1) law or legal provisions on domestic violence; (2) law establishes criminal penalties for domestic violence; (3) law establishes protection orders for victims of domestic violence; (4) law on domestic violence addresses physical, psychological, financial/economic, and sexual violence (including marital rape), where partial score of 0.25 is assigned to each form of violence addressed. The total indicator score = 1 if all four conditions are met and all four forms of domestic violence are addressed in the law. Partial score is assigned if all four conditions are met, but only some and not all four forms of domestic violence are addressed in the law; otherwise score=0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Safety, The law addresses femicide
Definition: The indicator assesses whether the law addresses any of the following: (1) specifically criminalize femicide (the intentional killing of a woman with a gender-related motivation; (2) provides for aggravated penalties for the intentional killing of women. Score = 1 if the condition is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Safety, The law addresses sexual harassment
Definition: The indicator assesses whether there law addresses the following: (1) sexual harassment in employment with criminal penalties or civil remedies; (2) sexual harassment in education/schools with criminal penalties or civil remedies; (3) sexual harassment in public places (or on transportation) with criminal penalties or civil remedies; (4) cyber-harassment or cyber-stalking with criminal penalties or civil remedies. Partial score of 0.25 is assigned to each of the four underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Safety, Score (scale 0-100)
Definition: The Safety topic supportive frameworks score examines policies and practices that support the implementation of gender-based violence legislation, including the existence of action plans or strategies, mechanisms to facilitate access to justice, services for women affected by violence, and monitoring agencies. It is divided into four indicators, some of which consist of several questions. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Safety, The government provides or funds services for women affected by violence
Definition: The indicator assesses whether the following services exist for women affected by violence: (1) shelters; (2) health services; (3) psychological services; (4) livelihood support services. Partial score of 0.25 is assigned to each of the four underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Safety, There are mechanisms to facilitate access to justice for cases of violence against women
Definition: The indicator assesses whether: (1) there are special police or prosecutorial units; (2) there are courts or procedures on violence against women; (2) there is legal aid provided for cases of violence against women. Partial score of 0.33 is assigned to each of the three underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Safety, There is an action plan or strategy on violence against women
Definition: The indicator assesses whether: (1) the action plan or strategy on violence against women provides for prevention measures; (2) it indicates the institutions responsible for its implementation; (3) provides for targets and indicators. Partial score of 0.33 is assigned to each of the three underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Safety, There is an institutional mechanism to monitor the implementation of legislation, national plans, and/or programs on violence against women
Definition: The indicator assesses whether the following is established: (1) a specific government mechanism or agency that oversees the implementation of legislation and policies on violence against women; and (2) the entity in place, such as a ministry or committee, is in charge of monitoring implementation of legislation, national plans, and/or programs on violence against women. Score = 1 if both conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Safety, Score (scale 0–100)
Definition: The Safety topic enforcement perception score measures the extent to which laws on protecting women from gender-based violence are enforced in practice. It is calculated as the unweighted average of the indicator scores in the topic and then rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Safety, Public authorities enforce existing legislation addressing child marriage
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation addressing child marriage in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Safety, Public authorities enforce existing legislation addressing domestic violence
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation addressing domestic violence in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Safety, Public authorities enforce existing legislation addressing femicide
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation addressing femicide in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Safety, Public authorities enforce existing legislation addressing sexual harassment
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation addressing sexual harassment in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Suicide mortality rate (per 100,000 population)" indicator page provides information on the following indicators:
Suicide mortality rate, female (per 100,000 female population)
Definition: Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Suicide mortality rate, male (per 100,000 male population)
Definition: Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Suicide mortality rate (per 100,000 population)
Definition: Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Women who believe a husband is justified in beating his wife (%)" indicator page provides information on the following indicators:
Women who believe a husband is justified in beating his wife (any of five reasons) (%)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children.
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_AWBT_W_AGR; Indicator name from the original source: Wife beating justified for at least one specific reason [Women], publisher: The DHS Program (ICF), type: API, date accessed: 46155
Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q1 (lowest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q2
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q3
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q4
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q5 (highest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she argues with him (%)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him.
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_AWBT_W_ARG; Indicator name from the original source: Wife beating justified if she argues with him [Women], publisher: The DHS Program (ICF), type: API, date accessed: 46155
Women who believe a husband is justified in beating his wife when she argues with him (%): Q1 (lowest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she argues with him (%): Q2
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she argues with him (%): Q3
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she argues with him (%): Q4
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she argues with him (%): Q5 (highest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she burns the food (%)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food.
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_AWBT_W_BFD; Indicator name from the original source: Wife beating justified if she burns the food [Women], publisher: The DHS Program (ICF), type: API, date accessed: 46155
Women who believe a husband is justified in beating his wife when she burns the food (%): Q1 (lowest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she burns the food (%): Q2
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she burns the food (%): Q3
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she burns the food (%): Q4
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she burns the food (%): Q5 (highest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she goes out without telling him (%)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him.
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_AWBT_W_OUT; Indicator name from the original source: Wife beating justified if she goes out without telling him [Women], publisher: The DHS Program (ICF), type: API, date accessed: 46155
Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q1 (lowest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q2
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q3
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q4
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q5 (highest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she neglects the children (%)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children.
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_AWBT_W_NEG; Indicator name from the original source: Wife beating justified if she neglects the children [Women], publisher: The DHS Program (ICF), type: API, date accessed: 46155
Women who believe a husband is justified in beating his wife when she neglects the children (%): Q1 (lowest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she neglects the children (%): Q2
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she neglects the children (%): Q3
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she neglects the children (%): Q4
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she neglects the children (%): Q5 (highest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she refuses sex with him (%)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him.
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_AWBT_W_REF; Indicator name from the original source: Wife beating justified if she refuses to have sex with him [Women], publisher: The DHS Program (ICF), type: API, date accessed: 46155
Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q1 (lowest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q2
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q3
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q4
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q5 (highest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
The "Women who believe a wife is justified refusing sex with her husband (%)" indicator page provides information on the following indicators:
Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q1 (lowest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q2
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q3
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q4
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q5 (highest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q1 (lowest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q2
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q3
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q4
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q5 (highest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q1 (lowest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q2
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q3
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q4
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q5 (highest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q1 (lowest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q2
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q3
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q4
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q5 (highest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for all of the reasons (%)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q1 (lowest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q2
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q3
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q4
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q5 (highest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for none of the reasons (%)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q1 (lowest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q2
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q3
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q4
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q5 (highest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
The "Women who experienced first sexual violence before age 15, 18, or 22 (% of women ages 15-49)" indicator page provides information on the following indicators:
Women who experienced first sexual violence before age 15 (% of women ages 15-49)
Definition: Percentage of women ages 15-49 who first experienced sexual violence before exact age 15
Source: Demographic and Health Surveys (DHS)
Women who experienced first sexual violence before age 18 (% of women ages 15-49)
Definition: Percentage of women ages 15-49 who first experienced sexual violence before exact age 18
Source: Demographic and Health Surveys (DHS)
Women who experienced first sexual violence before age 22 (% of women ages 15-49)
Definition: Percentage of women ages 15-49 who first experienced sexual violence before exact age 22
Source: Demographic and Health Surveys (DHS)
The "Women who have ever experienced violence committed by their husband/partner by type of violence (% of ever-married women ages 15-49)" indicator page provides information on the following indicators:
Women who have ever experienced emotional violence committed by their husband/partner (% of ever-married women ages 15-49)
Definition: Percentage of ever-married women ages 15-49 who have ever experienced emotional violence committed by their husband or partner
Source: Demographic and Health Surveys (DHS)
Women who have ever experienced physical violence committed by their husband/partner (% of ever-married women ages 15-49)
Definition: Percentage of ever-married women ages 15-49 who have ever experienced physical violence committed by their husband or partner
Source: Demographic and Health Surveys (DHS)
Women who have ever experienced sexual violence committed by their husband/partner (% of ever-married women ages 15-49)
Definition: Percentage of ever-married women ages 15-49 who have ever experienced sexual violence committed by their husband or partner
Source: Demographic and Health Surveys (DHS)
The "Women who have experienced injuries resulting from spousal violence (% of ever-married women ages 15-49 who have ever experienced any physical or sexual violence)" indicator page provides information on the following indicators:
Women who have experienced injuries resulting from spousal violence (% of ever-married women ages 15-49 who have ever experienced any physical or sexual violence)
Definition: Percentage of ever-married women ages 15-49 who have ever experienced spousal physical or sexual violence suffered one or more of these injuries: deep wounds, broken bones, broken teeth, eye injuries, sprains, dislocations, or burns, cuts, bruises or aches.
Source: Demographic and Health Surveys (DHS)
The "Women who have experienced violence committed by their husband/partner in the last 12 months by type of violence (% of ever-married women ages 15-49)" indicator page provides information on the following indicators:
Women who have experienced emotional violence committed by their husband/partner in the 12 months (% of ever-married women ages 15-49)
Definition: Percentage of ever-married women ages 15-49 who have experienced emotional violence committed by their husband/partner in the 12 months preceding the survey
Source: Demographic and Health Surveys (DHS)
Women who have experienced physical violence committed by their husband/partner in the 12 months (% of ever-married women ages 15-49)
Definition: Percentage of ever-married women ages 15-49 who have experienced physical violence committed by their husband/partner in the 12 months preceding the survey
Source: Demographic and Health Surveys (DHS)
Women who have experienced sexual violence committed by their husband/partner in the 12 months (% of ever-married women ages 15-49)
Definition: Percentage of ever-married women ages 15-49 who have experienced sexual violence committed by their husband/partner in the 12 months preceding the survey
Source: Demographic and Health Surveys (DHS)
The "Women who have not experienced spousal physical or sexual violence (% of currently married women age 15-49 who have been married only once)" indicator page provides information on the following indicators:
Women who have not experienced spousal physical or sexual violence (% of currently married women age 15-49 who have been married only once)
Definition: Percentage of currently married women ages 15-49 who have been married only once and have not experienced spousal physical or sexual violence
Source: Demographic and Health Surveys (DHS)
The "Women who never sought help to stop violence, and never told anyone (% of ever-married women ages 15-49 who have ever experienced any physical or sexual violence)" indicator page provides information on the following indicators:
Women who never sought help to stop violence, and never told anyone (% of ever-married women ages 15-49 who have ever experienced any physical or sexual violence)
Definition: Percentage of ever-married women ages 15-49 who have ever experienced any physical or sexual violence who never sought help to stop violence, and never told anyone
Source: Demographic and Health Surveys (DHS)
The "Women who never sought help to stop violence, but told someone (% of ever-married women ages 15-49 who have ever experienced any physical or sexual violence)" indicator page provides information on the following indicators:
Women who never sought help to stop violence, but told someone (% of ever-married women ages 15-49 who have ever experienced any physical or sexual violence)
Definition: Percentage of ever-married women ages 15-49 who have ever experienced any physical or sexual violence who never sought help to stop violence, but told someone
Source: Demographic and Health Surveys (DHS)
The "Women who were first married by age 15 or 18 (% of women ages 20-24)" indicator page provides information on the following indicators:
Women who were first married by age 15 (% of women ages 20-24)
Definition: Women who were first married by age 15 refers to the percentage of women ages 20-24 who were first married by age 15.
Source: UNICEF Data, UN Children's Fund (UNICEF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_20-24_MRD_U15; Indicator name from the original source: Percentage of women (aged 20-24 years) married or in union before age 15, type: API;
DHS API, Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: MA_MBAG_W_B15; Indicator name from the original source: Women first married by exact age 15, type: API
Women who were first married by age 18 (% of women ages 20-24)
Definition: Women who were first married by age 18 refers to the percentage of women ages 20-24 who were first married by age 18.
Source: UNICEF Data, UN Children's Fund (UNICEF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_20-24_MRD_U18; Indicator name from the original source: Percentage of women (aged 20-24 years) married or in union before age 18, type: API;
DHS API, Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: MA_MBAG_W_B18; Indicator name from the original source: Women first married by exact age 18, type: API
The "Women whose first experience of spousal physical or sexual violence was before marriage (% of currently married women age 15-49 who have been married only once)" indicator page provides information on the following indicators:
Women whose first experience of spousal physical or sexual violence was before marriage (% of currently married women age 15-49 who have been married only once)
Definition: Percentage of currently married women ages 15-49 who have been married only once whose first experience of spousal physical or sexual violence was before marriage
Source: Demographic and Health Surveys (DHS)
The "Women whose first experience of spousal physical or sexual violence was during marriage (% of currently married women age 15-49 who have been married only once)" indicator page provides information on the following indicators:
Women whose first experience of spousal physical or sexual violence was within two years of marriage (% of currently married women age 15-49 who have been married only once)
Definition: Percentage of currently married women ages 15-49 who have been married only once whose first experience of spousal physical or sexual violence was within two years of marriage
Source: Demographic and Health Surveys (DHS)
Women whose first experience of spousal physical or sexual violence was within five years of marriage (% of currently married women age 15-49 who have been married only once)
Definition: Percentage of currently married women ages 15-49 who have been married only once whose first experience of spousal physical or sexual violence was within five years of marriage
Source: Demographic and Health Surveys (DHS)
Women whose first experience of spousal physical or sexual violence was within ten years of marriage (% of currently married women age 15-49 who have been married only once)
Definition: Percentage of currently married women ages 15-49 who have been married only once whose first experience of spousal physical or sexual violence was within ten years of marriage
Source: Demographic and Health Surveys (DHS)
The "Women whose husband or partner has ever demonstrated controlling behaviors (% of ever-married women ages 15-49)" indicator page provides information on the following indicators:
Women whose husband or partner has ever demonstrated controlling behaviors (% of ever-married women ages 15-49)
Definition: Percentage of ever-married women ages 15-49 whose husband or partner has ever demonstrated 3 or more of the specific behaviors from the following: jealous or angry if she talks to other men; accuses her of being unfaithful; not permit her to meet her female friends; tries to limit her contact with her family; insists on knowing where she is at all times; does not trust her with any money
Source: Demographic and Health Surveys (DHS)
The "Women whose husband or partner has never demonstrated controlling behaviors (% of ever-married women ages 15-49)" indicator page provides information on the following indicators:
Women whose husband or partner has never demonstrated controlling behaviors (% of ever-married women ages 15-49)
Definition: Percentage of ever-married women ages 15-49 whose husband or partner never demonstrated controlling behaviors
Source: Demographic and Health Surveys (DHS)
The "Belief that female genital mutilation should not be continued (% who have heard about FGM)" indicator page provides information on the following indicators:
Women who believe that female genital mutilation should not be continued (% of women ages 15-49 who have heard about FGM)
Definition: Percentage of women ages 15-49 who have heard about female genital mutilation and think the practice should end.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Men who believe that female genital mutilation should not be continued (% of men who have heard about FGM)
Definition: Percentage of men who have heard about female genital mutilation and think the practice should end.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
The "Belief that religion requires female genital mutilation (% who have heard about FGM)" indicator page provides information on the following indicators:
Women who believe religion requires female genital mutilation (% of women ages 15-49 who have heard about FGM)
Definition: Percentage of women ages 15-49 who have heard about female genital mutilation (FGM) and whose opinion is that religion requires FGM.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Men who believe religion requires female genital mutilation (% of men who have heard about FGM)
Definition: Percentage of men who have heard about female genital mutilation (FGM) and whose opinion is that religion requires FGM.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
The "Comprehensive correct knowledge of HIV/AIDS (2 prevent ways and reject 3 misconceptions)" indicator page provides information on the following indicators:
Comprehensive correct knowledge of HIV/AIDS, ages 15-49, female (2 prevent ways and reject 3 misconceptions)
Definition: Knowledge of HIV, female, is the percentage of female respondents who correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms and limiting sex to one faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission, and who know that a healthy-looking person can have HIV.
Source: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
Comprehensive correct knowledge of HIV/AIDS, ages 15-49, male (2 prevent ways and reject 3 misconceptions)
Definition: Knowledge of HIV, male, is the percentage of male respondents who correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms and limiting sex to one faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission, and who know that a healthy-looking person can have HIV.
Source: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
Comprehensive correct knowledge of HIV/AIDS, ages 15-24, female (2 prevent ways and reject 3 misconceptions)
Definition: The percent of female respondents ages 15-24 who correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms and limiting sex to one faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission, and who know that a healthy-looking person can have HIV.
Source: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
Comprehensive correct knowledge of HIV/AIDS, ages 15-24, male (2 prevent ways and reject 3 misconceptions)
Definition: The percent of male respondents ages 15-24 who correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms and limiting sex to one faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission, and who know that a healthy-looking person can have HIV.
Source: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
The "Condom use at last high-risk sex (% ages 15-49)" indicator page provides information on the following indicators:
Condom use at last high-risk sex, adult female (% ages 15-49)
Definition: Condom use at last high-risk sex, female is the percentage of the female population ages 15-49 who used a condom at last intercourse with a non-marital and non-cohabiting sexual partner in the last 12 months.
Source: Demographic and Health Surveys, and UNAIDS.
Condom use at last high-risk sex, adult male (% ages 15-49)
Definition: Condom use at last high-risk sex, male is the percentage of the male population ages 15-49 who used a condom at last intercourse with a non-marital and non-cohabiting sexual partner in the last 12 months.
Source: Demographic and Health Surveys, and UNAIDS.
The "Family member sets rules for mobile phone use (% age 15+)" indicator page provides information on the following indicators:
Family member sets rules for mobile phone use (% age 15+)
Definition: The percentage of respondents who report that someone, such as a family member, sets rules about how they can use a mobile phone, (% age 15+)
Source: Global Findex Database
Family member sets rules for mobile phone use, women (% age 15+)
Definition: The percentage of respondents who report that someone, such as a family member, sets rules about how they can use a mobile phone, women (% age 15+)
Source: Global Findex Database
Family member sets rules for mobile phone use, men (% age 15+)
Definition: The percentage of respondents who report that someone, such as a family member, sets rules about how they can use a mobile phone, men (% age 15+)
Source: Global Findex Database
The "Knowledge of contraception methods (%)" indicator page provides information on the following indicators:
Knowledge of any method of contraception (% of married women ages 15-49)
Definition: Percentage of currently married or in union women ages 15-49 who know any method of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. Traditional methods includes periodic abstinence (rhythm, calendar method) and withdrawal.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any modern method of contraception (% of married women ages 15-49)
Definition: Percentage of currently married or in union women ages 15-49 who know at least one of modern methods of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any method of contraception (% of married men)
Definition: Percentage of currently married or in union men who know any method of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. Traditional methods includes periodic abstinence (rhythm, calendar method) and withdrawal. The age range of men depends on surveys. In most DHS surveys, men ages 15-49, 15-54, or 15-59 are eligible for individual interviews.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any modern method of contraception (% of married men)
Definition: Percentage of currently married or in union men who know at least one of modern methods of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. In most DHS surveys, men ages 15-49, 15-54, or 15-59 are eligible for individual interviews.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any method of contraception (% of all women ages 15-49)
Definition: Percentage of all women ages 15-49 who know any method of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. Traditional methods includes periodic abstinence (rhythm, calendar method) and withdrawal.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any modern method of contraception (% of all women ages 15-49)
Definition: Percentage of all women ages 15-49 who know at least one of modern methods of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any method of contraception (% of all men)
Definition: Percentage of all men who know any method of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. Traditional methods includes periodic abstinence (rhythm, calendar method) and withdrawal. The age range of men depends on surveys. In most DHS surveys, men ages 15-49, 15-54, or 15-59 are eligible for individual interviews.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
Knowledge of any modern method of contraception (% of all men)
Definition: Percentage of all men who know at least one of modern methods of contraception. Modern methods of contraception include female and male sterilization, contraceptive pills, intra-uterine device (IUD), injectables, implants, male and female condoms, diaphragm, contraceptive foam and contraceptive jelly female condom, lactational amenorrhea method (LAM), Standard days method (SDM), and emergency contraception. The age range of men depends on surveys. In most DHS surveys, men ages 15-49, 15-54, or 15-59 are eligible for individual interviews.
Source: Demographic and Health Surveys (DHS) (https://www.statcompiler.com/)
The "Marriage Topic (Women, Business and the Law)" indicator page provides information on the following indicators:
WBL: Legal Framework, Marriage, Score (scale 0-100)
Definition: The Marriage topic legal frameworks score measures laws related to marriage and divorce because equal rights in marriage and divorce are critical to a woman’s agency, financial security, and health. It is divided into four indicators. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Marriage, The law allows a woman to be head of household or head of family in the same way as a man
Definition: The indicator assesses whether: (1) the law does not designate the husband as the “head of household” or the “head of family” or stipulates that the husband leads the family; AND (2) the husband is not by default the family member who receives the family book or an equivalent document that is required to access services and benefits; AND (3) the family law, civil law, or personal status law does not place any restrictions on women to be considered as “head of household” or “head of family. Differences under tax law are not considered under this indicator.
Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Marriage, The law allows a woman to obtain a judgment of divorce in the same way as a man
Definition: The indicator assesses whether: (1) the process of divorce is equal for a man and a woman; OR (2) the evidentiary rules in divorce proceedings are the same for men and women: for example, the burden of proof is the same for a man as for a woman; OR (3) there are additional protections for women, such as the prohibition for a husband to initiate divorce proceedings if the wife is pregnant.
Score = 1 if one of the three conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Marriage, The law grants a woman the same rights to remarry as a man
Definition: The indicator assesses whether the law does not contain any of the following three constraints: (1) the law limits the ability of a woman to remarry in a way that does not apply to a man—for example, by requiring a waiting period before being able to remarry, while the same period does not apply to a man; OR (2) a woman is required to provide a certificate showing that she is not pregnant before being able to remarry; OR (3) divorce is not legally allowed.
Score = 1 if none of the three conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Marriage, The law is free of legal provisions that require a married woman to obey her husband
Definition: The indicator assesses whether: (1) there is no provision requiring a married woman to obey her husband; OR (2) the law stipulates that spouses have equal rights and duties. Score = 1 if any of the conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Marriage, Score (scale 0-100)
Definition: The Marriage topic supportive frameworks score examines policies and practices that support the implementation of equal rights in marriage and divorce, including the fast-track processes in family disputes, specialized family courts, and legal aid in family law cases. It is divided into four indicators, some of which consist of several question. It is calculated as the unweighted average of the indicator scores in that topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Marriage, A woman can obtain a judgment of divorce without having to prove fault
Definition: The indicator assesses whether a woman can obtain the following: (1) a divorce judgment without proving fault or waiting; (2) a no-fault divorce after a mandatory separation period. If first condition is met, score=1; if second condition is met, score=0.5; if none of the conditions is met, score=0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Marriage, Legal aid, provided through a government institution or government-funded institution, is available for family disputes
Definition: The indicator assesses whether: (1) there is legal aid either provided by the government itself or through a nongovernmental organization at least partially financed by the government, even if access is subject to certain income criteria. Universities (whether public or private) providing legal aid services are insufficient to obtain a score on this indicator; AND (2) the services provided may include aspects such as legal advice, assistance, and representation for family law matters including at least two of the following types of disputes: marriage, divorce, custody, or alimony; OR covering civil law case in jurisdictions where family law falls under the broader scope of civil law; AND (3) the service has sufficient prospects of success and is not frivolous.
Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Marriage, There are specialized family courts
Definition: The indicator assesses whether: (1) there are operational, specialized family courts that are (a) available at various levels of the
judicial hierarchy; (b) not personal law or religious courts; and (c) dedicated to settling family law disputes on at least two of the following types of claims: divorce, alimony, or child custody; OR (2) there are operational, specialized chambers within courts that are (a) available at various levels of the judicial hierarchy; (b) not personal law or religious courts; and (c) dedicated to settling family law disputes or at least two of the following types of claims: divorce, alimony, or child custody; OR (3) there are judges at the various levels of the judicial hierarchy who receive specialized training in family law issues and disputes.
Score = 1 if one of the three conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Marriage, There is a fast-track process or procedure for family law disputes
Definition: The indicator assesses whether the following exists: (1) a fast-track or expedited process for family law disputes; OR (2) nonmandatory alternative dispute resolution mechanisms for family law disputes. Score = 1 if any of the conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Marriage, Score (scale 0–100)
Definition: The Marriage topic enforcement perceptions score measures the extent to which legal constraints related to marriage and divorce are enforced in practice or the consequent rights are upheld in practice. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Marriage, Public authorities enforce a married woman's right to not be required to obey her husband
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce a married woman's right to not be required to obey her husband in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link:https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Marriage, Public authorities enforce a woman's right to be the head of household or head of family in the same way as a man
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce a woman's right to be the "head of household" or "head of family" in the same way as a man in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link:https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Marriage, Public authorities enforce a woman's right to obtain a judgment of divorce in the same way as a man
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce a woman's right to obtain a judgment of divorce in the same way as a man in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link:https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Marriage, Public authorities enforce equal rights between women and men to remarry
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce equal rights between women and men to remarry in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link:https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Mean age at first marriage" indicator page provides information on the following indicators:
Mean age at first marriage, female
Definition: Mean age at marriage, female shows the average length of single life expressed in years among those females who marry before age 50. It is a synthetic indicator calculated from marital status categories of men and women aged 15 to 54 at the census or survey date.
Source: United Nations, Department of Economic and Social Affairs, Population Division. World Marriage Data 2019.
Mean age at first marriage, male
Definition: Mean age at marriage, male shows the average length of single life expressed in years among those males who marry before age 50. It is a synthetic indicator calculated from marital status categories of men and women aged 15 to 54 at the census or survey date.
Source: United Nations, Department of Economic and Social Affairs, Population Division. World Marriage Data.
The "Mobility Topic (Women, Business and the Law)" indicator page provides information on the following indicators:
WBL: Legal Framework, Mobility, Score (scale 0-100)
Definition: The Mobility legal frameworks topic score measures laws constraining a woman’s agency, freedom of movement, and ability to confer citizenship to her children and spouse. It is divided into four indicators, some of which consist of several questions. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Mobility, A woman and a man have equal rights to confer citizenship on their spouse and children
Definition: The indicator assesses whether a woman has the same legal rights to confer nationality to the following: (1) her children, (2) her husband. Partial score of 0.5 is assigned to each of the two underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Mobility, The law allows a woman to choose where to live in the same way as a man
Definition: The indicator assesses the following: (1) whether there are no restrictions in the law on a woman choosing where to live; OR (2) there is an explicit recognition of women’s rights to freely choose where to live. Score = 1 if any of the conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Mobility, The law allows a woman to leave the marital home and travel domestically in the same way as a man
Definition: The indicator assesses whether: (1) there are no restrictions in the law on a woman traveling alone domestically; OR (2) there are no barriers preventing a woman to travel domestically; (3) OR there is an explicit recognition of women’s rights to travel domestically in the same way as a man. Score = 1 if any of of the conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Mobility, The law allows a woman to travel internationally in the same way as a man
Definition: The indicator assesses whether the law allows a woman the following: (1) to travel abroad; (2) to apply for a passport in the same way as a man. Partial score of 0.5 is assigned to each of the two underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Mobility, Score (scale 0-100)
Definition: The Mobility topic supportive frameworks score examines policies and practices that support the implementation of women’s agency and freedom of movement, including gender-based barriers in the processes of applying for official identity documents and passports as well as gender-sensitive public transportation policies and plans, and whether women face government-imposed mobility constraints. It is divided into four indicators, one of which consists of two questions. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Mobility, A policy or plan considers women’s mobility needs in public transportation systems
Definition: The indicator assesses whether a policy or plan address the following: (1) recognizes women’s needs in accessing and using public transportation, and (2) sets specific objectives and targets associated with women’s transportation needs. Partial score of 0.5 is assigned to each of the three underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Mobility, Passport application processes are the same for a woman and a man
Definition: The indicator assesses whether: (1) the application procedures and forms for passports are uniform for both women and men; AND (2) there are no procedural barriers preventing a woman from applying for a passport in the same way as a man; AND (3) there are no additional document requirements for women that men are not subject to. Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Mobility, The application processes for official identity documents are the same for a woman and a man
Definition: The indicator assesses whether: (1) application processes for official identity documents are uniform for both women and men; AND (2) there are no procedural barriers preventing a woman from applying for an official identity document in the same way as a man; AND (3) there are no additional document requirements for women that men are not subject to. Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Mobility, Women are free from government-imposed mobility constraints, including when traveling with their children
Definition: The indicator assesses whether: (1) there are no procedural or administrative differences between women and men in their ability to travel with their children; OR (2) spousal consent is required to travel internationally with the child, but it applies equally to men and women; OR (3) there are no government-imposed mobility constraints placed on women. Score = 1 if any of the conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Mobility, Score (scale 0–100)
Definition: The Mobility enforcement perceptions topic score measures the extent to which laws constraining a woman’s agency and freedom of movement are enforced in practice or the consequent rights are upheld in practice. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Mobility, Public authorities enforce a woman's right to choose where to live in the same way as a man
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce a woman's right to choose where to live in the same way as a man in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level scores are calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) for each indicator at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Mobility, Public authorities enforce a woman's right to leave the marital home and travel domestically in the same way as a man
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce a woman's right to leave the marital home and travel domestically in the same way as a man in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level scores are calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) for each indicator at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Mobility, Public authorities enforce a woman's right to travel internationally in the same way as a man
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce a woman's right to travel internationally in the same way as a man in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level scores are calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) for each indicator at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Mobility, Public authorities enforce equal rights between women and men to confer citizenship on their spouse and children
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce equal rights between women and men to confer citizenship on their spouse and children in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level scores are calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) for each indicator at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Proportion of women who have ever experienced any form of sexual violence (% of women ages 15-49)" indicator page provides information on the following indicators:
Proportion of women who have ever experienced any form of sexual violence (% of women ages 15-49)
Definition: Proportion of women who have ever experienced any form of sexual violence is the percentage of women ages 15-49 who ever experienced sexual violence.
Source: Demographic and Health Surveys (DHS) Statcompiler (https://www.statcompiler.com/)
The "Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)" indicator page provides information on the following indicators:
Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)
Definition: Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.
Source: Demographic and Health Surveys compiled by United Nations Population Fund, United Nations (UN), uri: https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html, note: Indicator code from the original source: SH_FPL_INFM; Indicator name from the original source: Proportion of women aged 15–49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care, publisher: UN Statistics Division, type: API, date accessed: 2026-06-17, date published: 2026-03-27
The "Women participating in decisions related to health care, purchases, visiting family, and cooking (%)" indicator page provides information on the following indicators:
Women participating in making major household purchase decisions (% of women age 15-49)
Definition: Women participating in making major household purchase decisions is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in making major household purchases
Source: Demographic and Health Surveys (DHS)
Decision maker about major household purchases: mainly wife (% of women age 15-49)
Definition: Decision maker about major household purchases: mainly wife is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is mainly the respondent
Source: Demographic and Health Surveys (DHS)
Decision maker about major household purchases: wife and husband jointly (% of women age 15-49)
Definition: Decision maker about major household purchases: wife and husband jointly is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is mainly the respondent and her husband
Source: Demographic and Health Surveys (DHS)
Decision maker about major household purchases: mainly husband (% of women age 15-49)
Definition: Decision maker about ajor household purchases: mainly husband is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is mainly the husband
Source: Demographic and Health Surveys (DHS)
Decision maker about major household purchases: someone else (% of women age 15-49)
Definition: Decision maker about Major household purchases: someone else is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is mainly someone else
Source: Demographic and Health Surveys (DHS)
Decision maker about major household purchases: other (% of women age 15-49)
Definition: Decision maker about major household purchases: other is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is recorded as 'other'
Source: Demographic and Health Surveys (DHS)
Women participating in own health care decisions (% of women age 15-49)
Definition: Women Participating in own health care decisions is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in own health care
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's own health care: mainly wife (% of women age 15-49)
Definition: Decision maker about women own health care: mainly wife is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is mainly the respondent
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's own health care: wife and husband jointly (% of women age 15-49)
Definition: Decision maker about women own health care: wife and husband jointly is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is mainly the respondent and her husband
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's own health care: mainly husband (% of women age 15-49)
Definition: Decision maker about women own health care: mainly husband is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is mainly the husband
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's own health care: someone else (% of women age 15-49)
Definition: Decision maker about women own health care: someone else is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is mainly someone else
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's own health care: other (% of women age 15-49)
Definition: Decision maker about women own health care: other is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is recorded as 'other'
Source: Demographic and Health Surveys (DHS)
Women participating in decision of visits to family, relatives, friends (% of women age 15-49)
Definition: Women participating in decision of visits to family, relatives, friends is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in visits to family, relatives, friends
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's visits to her family or relatives: mainly wife (% of women age 15-49)
Definition: Decision maker about a woman's visits to her family or relatives: mainly wife is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is mainly the respondent
Source: Demographic and Health Surveys (DHS)
Decision maker about Visits to her family or relatives: wife and husband jointly (% of women age 15-49)
Definition: Decision maker about Visits to her family or relatives: wife and husband jointly is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is mainly the respondent and her husband
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's visits to her family or relatives: mainly husband (% of women age 15-49)
Definition: Decision maker about a woman's visits to her family or relatives: mainly husband is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is mainly the husband
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's visits to her family or relatives: someone else (% of women age 15-49)
Definition: Decision maker about a woman's visits to her family or relatives: someone else is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is mainly someone else
Source: Demographic and Health Surveys (DHS)
Decision maker about a woman's visits to her family or relatives: other (% of women age 15-49)
Definition: Decision maker about a woman's visits to her family or relatives: other is Percentage of currently married women aged 15-49 for whom the decision maker for visits to her family or relatives is recorded as 'other'
Source: Demographic and Health Surveys (DHS)
Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)
Definition: Women participating in the three decisions (own health care, major household purchases, and visiting family) is the percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in all of the three decisions (own health care, large purchases and visits to family, relatives, and friends).
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_DMAK_W_3DC; Indicator name from the original source: Final say in all of the decisions [Women], publisher: The DHS program (ICF), type: API, date accessed: 2023-08-18
Women participating in none of the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)
Definition: Women participating in none of the three decisions (own health care, major household purchases, and visiting family) is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in none of the three decisions (own health care, major household purchases, and visiting family)
Source: Demographic and Health Surveys (DHS)
Women participating in making daily purchase decisions (% of women age 15-49)
Definition: Women participating in making daily purchase decisions is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in making daily purchases
Source: Demographic and Health Surveys (DHS)
Women participating in decision of what food to cook daily (% of women age 15-49)
Definition: Women participating in decision of what food to cook daily is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in what food to cook daily
Source: Demographic and Health Surveys (DHS)
The "Women who believe a husband is justified in beating his wife (%)" indicator page provides information on the following indicators:
Women who believe a husband is justified in beating his wife (any of five reasons) (%)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children.
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_AWBT_W_AGR; Indicator name from the original source: Wife beating justified for at least one specific reason [Women], publisher: The DHS Program (ICF), type: API, date accessed: 46155
Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q1 (lowest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q2
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q3
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q4
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q5 (highest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she argues with him (%)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him.
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_AWBT_W_ARG; Indicator name from the original source: Wife beating justified if she argues with him [Women], publisher: The DHS Program (ICF), type: API, date accessed: 46155
Women who believe a husband is justified in beating his wife when she argues with him (%): Q1 (lowest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she argues with him (%): Q2
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she argues with him (%): Q3
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she argues with him (%): Q4
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she argues with him (%): Q5 (highest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she burns the food (%)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food.
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_AWBT_W_BFD; Indicator name from the original source: Wife beating justified if she burns the food [Women], publisher: The DHS Program (ICF), type: API, date accessed: 46155
Women who believe a husband is justified in beating his wife when she burns the food (%): Q1 (lowest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she burns the food (%): Q2
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she burns the food (%): Q3
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she burns the food (%): Q4
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she burns the food (%): Q5 (highest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she goes out without telling him (%)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him.
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_AWBT_W_OUT; Indicator name from the original source: Wife beating justified if she goes out without telling him [Women], publisher: The DHS Program (ICF), type: API, date accessed: 46155
Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q1 (lowest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q2
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q3
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q4
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q5 (highest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she neglects the children (%)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children.
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_AWBT_W_NEG; Indicator name from the original source: Wife beating justified if she neglects the children [Women], publisher: The DHS Program (ICF), type: API, date accessed: 46155
Women who believe a husband is justified in beating his wife when she neglects the children (%): Q1 (lowest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she neglects the children (%): Q2
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she neglects the children (%): Q3
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she neglects the children (%): Q4
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she neglects the children (%): Q5 (highest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she refuses sex with him (%)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him.
Source: Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: WE_AWBT_W_REF; Indicator name from the original source: Wife beating justified if she refuses to have sex with him [Women], publisher: The DHS Program (ICF), type: API, date accessed: 46155
Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q1 (lowest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q2
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q3
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q4
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q5 (highest)
Definition: Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys
The "Women who believe a wife is justified refusing sex with her husband (%)" indicator page provides information on the following indicators:
Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q1 (lowest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q2
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q3
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q4
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q5 (highest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sex with other women. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q1 (lowest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q2
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q3
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q4
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q5 (highest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she knows husband has sexually transmitted disease. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q1 (lowest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q2
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q3
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q4
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q5 (highest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she is tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q1 (lowest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q2
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q3
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q4
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q5 (highest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband if she has recently given birth. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for all of the reasons (%)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q1 (lowest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q2
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q3
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q4
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q5 (highest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for all of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for none of the reasons (%)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q1 (lowest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q2
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q3
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q4
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q5 (highest)
Definition: Percentage of women aged 15-49 who believe that a wife is justified in refusing to have sex with her husband for none of the reasons: husband has sexually transmitted disease, husband has sex with other women, recently given birth, tired or not in the mood. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
The "Women who were first married by age 15 or 18 (% of women ages 20-24)" indicator page provides information on the following indicators:
Women who were first married by age 15 (% of women ages 20-24)
Definition: Women who were first married by age 15 refers to the percentage of women ages 20-24 who were first married by age 15.
Source: UNICEF Data, UN Children's Fund (UNICEF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_20-24_MRD_U15; Indicator name from the original source: Percentage of women (aged 20-24 years) married or in union before age 15, type: API;
DHS API, Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: MA_MBAG_W_B15; Indicator name from the original source: Women first married by exact age 15, type: API
Women who were first married by age 18 (% of women ages 20-24)
Definition: Women who were first married by age 18 refers to the percentage of women ages 20-24 who were first married by age 18.
Source: UNICEF Data, UN Children's Fund (UNICEF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_20-24_MRD_U18; Indicator name from the original source: Percentage of women (aged 20-24 years) married or in union before age 18, type: API;
DHS API, Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: MA_MBAG_W_B18; Indicator name from the original source: Women first married by exact age 18, type: API
The "Adolescent fertility rate (births per 1,000 women ages 15-19)" indicator page provides information on the following indicators:
Adolescent fertility rate (births per 1,000 women ages 15-19)
Definition: Adolescent fertility rate is the number of births per 1,000 women ages 15-19.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division
The "Educational attainment by level of education, cumulative (% population 25+)" indicator page provides information on the following indicators:
Educational attainment, at least completed primary, population 25+ years, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed primary, population 25+ years, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed lower secondary, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed lower secondary, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed upper secondary, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed upper secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed upper secondary, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed upper secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed upper secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Master's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Master's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Master's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "Employment to population ratio (%)" indicator page provides information on the following indicators:
Employment to population ratio, 15+, female (%) (modeled ILO estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment to population ratio, 15+, female (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Employment to population ratio, 15+, male (%) (modeled ILO estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment to population ratio, 15+, male (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Employment to population ratio, 15+, total (%) (modeled ILO estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment to population ratio, 15+, total (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment to population ratio, ages 15-24, female (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment to population ratio, ages 15-24, male (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment to population ratio, ages 15-24, total (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
The "Female share of graduates in Business, Administration and Law programmes, tertiary (%)" indicator page provides information on the following indicators:
Female share of graduates in Business, Administration and Law programmes, tertiary (%)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Female share of graduates in Information and Communication Technologies programmes, tertiary (%)" indicator page provides information on the following indicators:
Female share of graduates in Information and Communication Technologies programmes, tertiary (%)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Female share of graduates in other fields than Science, Technology, Engineering and Mathematics programmes, tertiary (%)" indicator page provides information on the following indicators:
Female share of graduates in other fields than Science, Technology, Engineering and Mathematics programmes, tertiary (%)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Gross graduation ratio, tertiary, total (%)" indicator page provides information on the following indicators:
Gross graduation ratio, tertiary, female (%)
Definition: Number of graduates from first degree programmes (at ISCED 6 and 7) expressed as a percentage of the population of the theoretical graduation age of the most common first degree programme.
Source: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.
Gross graduation ratio, tertiary, male (%)
Definition: Number of graduates from first degree programmes (at ISCED 6 and 7) expressed as a percentage of the population of the theoretical graduation age of the most common first degree programme.
Source: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.
Gross graduation ratio, tertiary, total (%)
Definition: Number of graduates from first degree programmes (at ISCED 6 and 7) expressed as a percentage of the population of the theoretical graduation age of the most common first degree programme.
Source: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.
The "Incidence of HIV (per 1,000 uninfected population)" indicator page provides information on the following indicators:
Incidence of HIV, ages 15-24, female (per 1,000 uninfected female population ages 15-24)
Definition: Number of new HIV infections among uninfected male populations ages 15-24 expressed per 1,000 uninfected male population ages 15-24 in the year before the period.
Source: UNAIDS estimates.
Incidence of HIV, ages 15-24, male (per 1,000 uninfected male population ages 15-24)
Definition: Number of new HIV infections among uninfected female populations ages 15-24 expressed per 1,000 uninfected female population ages 15-24 in the year before the period.
Source: UNAIDS estimates.
Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24)
Definition: Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.
Source: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS), uri: https://aidsinfo.unaids.org/, publisher: UNAIDS, date accessed: 2025-08-27, date published: 2025-07
Incidence of HIV, ages 15-49, female (per 1,000 uninfected female population ages 15-49)
Definition: Number of new HIV infections among uninfected female populations ages 15-49 expressed per 1,000 uninfected female population ages 15-49 in the year before the period.
Source: UNAIDS estimates.
Incidence of HIV, ages 15-49, male (per 1,000 uninfected male population ages 15-49)
Definition: Number of new HIV infections among uninfected male populations ages 15-49 expressed per 1,000 uninfected male population ages 15-49 in the year before the period.
Source: UNAIDS estimates.
Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)
Definition: Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period.
Source: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS), uri: https://aidsinfo.unaids.org/, publisher: UNAIDS, date accessed: 2025-08-27, date published: 2025-07
The "Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)" indicator page provides information on the following indicators:
Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)
Definition: The labor force participation rate is the labor force as a percent of the population ages 15 and older. The labor force is the sum of all persons of working age who are employed and those who are unemployed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate, female (% of female population ages 15+) (national estimate)
Definition: Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)
Definition: Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate, male (% of male population ages 15+) (national estimate)
Definition: Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)
Definition: Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate, total (% of total population ages 15+) (national estimate)
Definition: Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate)
Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate for ages 15-24, female (%) (national estimate)
Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate)
Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate for ages 15-24, male (%) (national estimate)
Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate)
Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate for ages 15-24, total (%) (national estimate)
Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate)
Definition: Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate)
Definition: Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)
Definition: Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
The "Literacy rate (%)" indicator page provides information on the following indicators:
Literacy rate, adult female (% of females ages 15 and above)
Definition: Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
Literacy rate, adult male (% of males ages 15 and above)
Definition: Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
Literacy rate, adult total (% of people ages 15 and above)
Definition: Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
Literacy rate, youth female (% of females ages 15-24)
Definition: Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
Literacy rate, youth male (% of males ages 15-24)
Definition: Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
Literacy rate, youth total (% of people ages 15-24)
Definition: Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
The "Literacy rate, youth (ages 15-24), gender parity index (GPI)" indicator page provides information on the following indicators:
Literacy rate, youth (ages 15-24), gender parity index (GPI)
Definition: Gender parity index for youth literacy rate is the ratio of females to males ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
The "Percentage of male students in secondary education enrolled in vocational programmes, male (%)" indicator page provides information on the following indicators:
Percentage of male students in secondary education enrolled in vocational programmes, male (%)
Definition: Total number of male students enrolled in vocational programmes at the secondary education level, expressed as a percentage of the total number of male students enrolled in all programmes (vocational and general) at the secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Percentage of students in post-secondary non-tertiary vocational education who are female (%)" indicator page provides information on the following indicators:
Percentage of students in post-secondary non-tertiary vocational education who are female (%)
Definition: Number of female vocational education students at the post-secondary non-tertiary level expressed as a percentage of the total number of vocational education students (male and female) at the post-secondary non-tertiary level in a given school year.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Percentage of students in upper secondary vocational education who are female (%)" indicator page provides information on the following indicators:
Percentage of students in upper secondary vocational education who are female (%)
Definition: Number of female vocational education students at the upper secondary level expressed as a percentage of the total number of vocational education students (male and female) at the upper secondary level in a given school year.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Population (number)" indicator page provides information on the following indicators:
Population, female
Definition: Female population is based on the de facto definition of population, which counts all female residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population, male
Definition: Male population is based on the de facto definition of population, which counts all male residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population, total
Definition: Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.
Source: World Population Prospects, United Nations (UN), uri: https://population.un.org/wpp/, publisher: UN Population Division;
Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs), uri: https://unstats.un.org/home/nso_sites/, publisher: National Statistical Offices;
Eurostat: Demographic Statistics, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/data/database?node_code=earn_ses_monthly, publisher: Eurostat;
Population and Vital Statistics Report (various years), United Nations (UN), uri: https://unstats.un.org, publisher: UN Statistics Division
Population ages 0-14, female
Definition: Female population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 0-14, male
Definition: Male population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 0-14, total
Definition: Total population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: Staff estimates, World Bank (WB), note: Staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects., publisher: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's data.;
World Population Prospects, United Nations (UN), publisher: UN Population Division
Population ages 15-64, female
Definition: Female population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 15-64, male
Definition: Male population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 15-64, total
Definition: Total population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 65 and above, female
Definition: Female population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 65 and above, male
Definition: Male population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 65 and above, total
Definition: Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 00-04, female
Definition: Female population between the ages 0 to 4.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 00-04, male
Definition: Male population between the ages 0 to 4.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 05-09, female
Definition: Female population between the ages 5 to 9.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 05-09, male
Definition: Male population between the ages 5 to 9.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 10-14, female
Definition: Female population between the ages 10 to 14.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 10-14, male
Definition: Male population between the ages 10 to 14.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 15-19, female
Definition: Female population between the ages 15 to 19.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 15-19, male
Definition: Male population between the ages 15 to 19.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 20-24, female
Definition: Female population between the ages 20 to 24.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 20-24, male
Definition: Male population between the ages 20 to 24.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 25-29, female
Definition: Female population between the ages 25 to 29.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 25-29, male
Definition: Male population between the ages 25 to 29.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 30-34, female
Definition: Female population between the ages 30 to 34.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 30-34, male
Definition: Male population between the ages 30 to 34.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 35-39, female
Definition: Female population between the ages 35 to 39.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 35-39, male
Definition: Male population between the ages 35 to 39.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 40-44, female
Definition: Female population between the ages 40 to 44.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 40-44, male
Definition: Male population between the ages 40 to 44.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 45-49, female
Definition: Female population between the ages 45 to 49.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 45-49, male
Definition: Male population between the ages 45 to 49.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 50-54, female
Definition: Female population between the ages 50 to 54.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 50-54, male
Definition: Male population between the ages 50 to 54.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 55-59, female
Definition: Female population between the ages 55 to 59.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 55-59, male
Definition: Male population between the ages 55 to 59.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 60-64, female
Definition: Female population between the ages 60 to 64.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 60-64, male
Definition: Male population between the ages 60 to 64.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 65-69, female
Definition: Female population between the ages 65 to 69.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 65-69, male
Definition: Male population between the ages 65 to 69.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 70-74, female
Definition: Female population between the ages 70 to 74.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 70-74, male
Definition: Male population between the ages 70 to 74.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 75-79, female
Definition: Female population between the ages 75 to 79.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 75-79, male
Definition: Male population between the ages 75 to 79.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 80 and above, female
Definition: Female population between the ages 80 and above.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 80 and above, male
Definition: Male population between the ages 80 and above.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
The "Prevalence of HIV (% ages 15-24)" indicator page provides information on the following indicators:
Prevalence of HIV, female (% ages 15-24)
Definition: Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.
Source: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS), uri: https://aidsinfo.unaids.org/, publisher: UNAIDS, date accessed: 2025-08-27, date published: 2025-07
Prevalence of HIV, male (% ages 15-24)
Definition: Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group.
Source: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS), uri: https://aidsinfo.unaids.org/, publisher: UNAIDS, date accessed: 2025-08-27, date published: 2025-07
The "Progression to secondary school (%)" indicator page provides information on the following indicators:
Progression to secondary school, female (%)
Definition: Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
Progression to secondary school, male (%)
Definition: Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
Progression to secondary school (%)
Definition: Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Proportion who initiated sexual intercourse by or before age 15" indicator page provides information on the following indicators:
Women who initiated sexual intercourse before age 15 (% of women ages 15-19)
Definition: Percentage of women ages 15-19 who initiated sexual intercourse before age 15.
Source: Demographic and Health Surveys (DHS)
Men who initiated sexual intercourse before age 15 (% of men ages 15-19)
Definition: Percentage of men ages 15-19 who initiated sexual intercourse before age 15.
Source: Demographic and Health Surveys (DHS)
Women who initiated sexual intercourse by age 15 (% of women ages 20-24)
Definition: Percentage of women ages 20-24 who initiated sexual intercourse by age 15.
Source: Demographic and Health Surveys (DHS)
Men who initiated sexual intercourse by age 15 (% of men ages 20-24)
Definition: Percentage of men ages 20-24 who initiated sexual intercourse by age 15.
Source: Demographic and Health Surveys (DHS)
The "Rate of out-of-school youth of upper secondary school age (%)" indicator page provides information on the following indicators:
Rate of out-of-school youth of upper secondary school age, female (%)
Definition: Number of females of official upper secondary school age who are not enrolled in upper secondary school expressed as a percentage of the female population of official upper secondary school age.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/)
Rate of out-of-school youth of upper secondary school age, male (%)
Definition: Number of males of official upper secondary school age who are not enrolled in upper secondary school expressed as a percentage of the male population of official upper secondary school age.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/)
The "Ratio of female to male youth unemployment rate (% ages 15-24) (modeled ILO estimate)" indicator page provides information on the following indicators:
Ratio of female to male youth unemployment rate (% ages 15-24) (modeled ILO estimate)
Definition: Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
Source: World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.
Ratio of female to male youth unemployment rate (% ages 15-24) (national estimate)
Definition: Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
Source: World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.
The "School enrollment, gender parity index" indicator page provides information on the following indicators:
School enrollment, primary and secondary (gross), gender parity index (GPI)
Definition: Gender parity index for gross enrollment ratio in primary and secondary education is the ratio of girls to boys enrolled at primary and secondary levels in public and private schools.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, primary (gross), gender parity index (GPI)
Definition: Gender parity index for gross enrollment ratio in primary education is the ratio of girls to boys enrolled at primary level in public and private schools.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, secondary (gross), gender parity index (GPI)
Definition: Gender parity index for gross enrollment ratio in secondary education is the ratio of girls to boys enrolled at secondary level in public and private schools.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, tertiary (gross), gender parity index (GPI)
Definition: Gender parity index for gross enrollment ratio in tertiary education is the ratio of women to men enrolled at tertiary level in public and private schools.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
The "School enrollment, secondary (% gross)" indicator page provides information on the following indicators:
School enrollment, secondary, female (% net)
Definition: Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, secondary, male (% net)
Definition: Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, secondary (% net)
Definition: Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, secondary, female (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
School enrollment, secondary, male (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
School enrollment, secondary (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "School enrollment, tertiary (% gross)" indicator page provides information on the following indicators:
School enrollment, tertiary, female (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
School enrollment, tertiary, male (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
School enrollment, tertiary (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "Secondary education, pupils (% female)" indicator page provides information on the following indicators:
Secondary education, pupils (% female)
Definition: Female pupils as a percentage of total pupils at secondary level includes enrollments in public and private schools.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Secondary education, vocational pupils" indicator page provides information on the following indicators:
Secondary education, vocational pupils
Definition: Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Secondary education, vocational pupils (% female)" indicator page provides information on the following indicators:
Secondary education, vocational pupils (% female)
Definition: Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Share of all students in post-secondary non-tertiary education enrolled in vocational programmes (%)" indicator page provides information on the following indicators:
Percentage of female students in post-secondary non-tertiary education enrolled in vocational programmes, female (%)
Definition: Total number of female students enrolled in vocational programmes at the post-secondary non-tertiary education level, expressed as a percentage of the total number of female students enrolled in all programmes (vocational and general) at the post-secondary non-tertiary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Percentage of male students in post-secondary non-tertiary education enrolled in vocational programmes, male (%)
Definition: Total number of male students enrolled in vocational programmes at the post-secondary non-tertiary education level, expressed as a percentage of the total number of male students enrolled in all programmes (vocational and general) at the post-secondary non-tertiary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Share of all students in post-secondary non-tertiary education enrolled in vocational programmes (%)
Definition: Total number of students enrolled in vocational programmes at the post-secondary non-tertiary education level, expressed as a percentage of the total number of students enrolled in all programmes (vocational and general) at the post-secondary non-tertiary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics
The "Share of all students in upper secondary education enrolled in vocational programmes (%)" indicator page provides information on the following indicators:
Percentage of female students in upper secondary education enrolled in vocational programmes, female (%)
Definition: Total number of female students enrolled in vocational programmes at the upper secondary education level, expressed as a percentage of the total number of female students enrolled in all programmes (vocational and general) at the upper secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Percentage of male students in upper secondary education enrolled in vocational programmes, male (%)
Definition: Total number of male students enrolled in vocational programmes at the upper secondary education level, expressed as a percentage of the total number of male students enrolled in all programmes (vocational and general) at the upper secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Share of all students in upper secondary education enrolled in vocational programmes (%)
Definition: Total number of students enrolled in vocational programmes at the upper secondary education level, expressed as a percentage of the total number of students enrolled in all programmes (vocational and general) at the upper secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics
The "Share of graduates by field, female (%)" indicator page provides information on the following indicators:
Female share of graduates in agriculture (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in humanities and arts (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in education (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in engineering, manufacturing and construction (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in health and welfare (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in science (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Definition:
Source:
Female share of graduates in services (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in social science, business and law (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in unknown or unspecified fields (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
The "Share of youth not in education, employment or training, total (% of youth population)" indicator page provides information on the following indicators:
Share of youth not in education, employment or training, female (% of female youth population)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Share of youth not in education, employment or training, male (% of male youth population)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Share of youth not in education, employment or training, total (% of youth population)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Share of youth not in education, employment or training, female (% of female youth population) (modeled ILO estimate)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Share of youth not in education, employment or training, male (% of male youth population) (modeled ILO estimate)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Share of youth not in education, employment or training, total (% of youth population) (modeled ILO estimate)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
The "Unemployment (%)" indicator page provides information on the following indicators:
Unemployment, female (% of female labor force) (modeled ILO estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, female (% of female labor force) (national estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, male (% of male labor force) (modeled ILO estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, male (% of male labor force) (national estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, total (% of total labor force) (modeled ILO estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, total (% of total labor force) (national estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, youth female (% of female labor force ages 15-24) (national estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, youth male (% of male labor force ages 15-24) (national estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, youth total (% of total labor force ages 15-24) (national estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
The "Vocational and Technical enrolment (% of total secondary enrolment), total" indicator page provides information on the following indicators:
Definition:
Source:
Vocational and Technical enrolment (% of total secondary enrolment), total
Definition:
Source: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.
The "Women who experienced first sexual violence before age 15, 18, or 22 (% of women ages 15-49)" indicator page provides information on the following indicators:
Women who experienced first sexual violence before age 15 (% of women ages 15-49)
Definition: Percentage of women ages 15-49 who first experienced sexual violence before exact age 15
Source: Demographic and Health Surveys (DHS)
Women who experienced first sexual violence before age 18 (% of women ages 15-49)
Definition: Percentage of women ages 15-49 who first experienced sexual violence before exact age 18
Source: Demographic and Health Surveys (DHS)
Women who experienced first sexual violence before age 22 (% of women ages 15-49)
Definition: Percentage of women ages 15-49 who first experienced sexual violence before exact age 22
Source: Demographic and Health Surveys (DHS)
The "Women who were first married by age 15 or 18 (% of women ages 20-24)" indicator page provides information on the following indicators:
Women who were first married by age 15 (% of women ages 20-24)
Definition: Women who were first married by age 15 refers to the percentage of women ages 20-24 who were first married by age 15.
Source: UNICEF Data, UN Children's Fund (UNICEF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_20-24_MRD_U15; Indicator name from the original source: Percentage of women (aged 20-24 years) married or in union before age 15, type: API;
DHS API, Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: MA_MBAG_W_B15; Indicator name from the original source: Women first married by exact age 15, type: API
Women who were first married by age 18 (% of women ages 20-24)
Definition: Women who were first married by age 18 refers to the percentage of women ages 20-24 who were first married by age 18.
Source: UNICEF Data, UN Children's Fund (UNICEF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_20-24_MRD_U18; Indicator name from the original source: Percentage of women (aged 20-24 years) married or in union before age 18, type: API;
DHS API, Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: MA_MBAG_W_B18; Indicator name from the original source: Women first married by exact age 18, type: API
The "Youth illiterate population, 15-24 years, % female" indicator page provides information on the following indicators:
Youth illiterate population, 15-24 years, % female
Definition: Share of the youth illiterate population that is female.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/)
The "Youth illiterate population, 15-24 years, both sexes (number)" indicator page provides information on the following indicators:
Youth illiterate population, 15-24 years, female (number)
Definition: Total number of females between age 15 and age 24 who cannot both read and write with understanding a short simple statement on their everyday life.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/)
Youth illiterate population, 15-24 years, male (number)
Definition: Total number of males between age 15 and age 24 who cannot both read and write with understanding a short simple statement on their everyday life.
Source: UNESCO Institute for Statistics
Youth illiterate population, 15-24 years, both sexes (number)
Definition: Total number of youth between age 15 and age 24 who cannot both read and write with understanding a short simple statement on their everyday life.
Source: UNESCO Institute for Statistics
The "Childcare Topic (Women, Business and the Law)" indicator page provides information on the following indicators:
WBL: Legal Framework, Childcare, Score (scale 0-100)
Definition: The Childcare topic legal frameworks score measures laws that regulate the availability, public financing, and quality of childcare services. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Childcare, The law establishes any form of support for families for childcare services
Definition: The indicator assesses whether the law establishes any form of financial or tax support for families for childcare services. Score = 1 if the condition is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Childcare, The law establishes any form of support for nonstate childcare providers
Definition: The indicator assesses whether the law establishes any form of financial or tax support for private centers or employers for childcare services. Score = 1 if the condition is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Childcare, The law establishes quality standards for the provision of center-based childcare services
Definition: The indicator assesses whether the law establishes the following quality standards for the provision of center-based childcare services (public or private): (1) caregiver-to-child ratio or maximum group size; (2) a minimum level of specialized education or training for educators; (3) mandatory periodic inspection of childcare centers by authorized bodies or mandatory periodic reporting by childcare centers to authorized bodies. Partial score of 0.33 is assigned to each of the three underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Childcare, The law establishes the provision of center-based childcare services
Definition: The indicator assesses whether the law establishes the provision of childcare services for children aged 0–2 years (including 2 years and 11 months) in center-based settings (nurseries, day care centers, creches, or formal preschools) by any of the following: (1) the government, (2) private centers, or (3) employers without conditions on the presence of female employees. Score = 1 if the condition is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Childcare, Score (scale 0-100)
Definition: The Childcare topic supportive frameworks score measures policies and practices that support parents in making informed decisions about childcare, including access to publicly available registries of childcare providers, financial support for both parents and nonstate childcare providers, and monitoring of highquality services through publicly available regular quality reports. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Childcare, The government publishes reports on the quality of childcare services
Definition: The indicator assesses whether the government publishes reports on the quality of childcare services. A score of 1 is assigned when the government provides an open-data information system or publish reports that assess individual childcare providers on the quality of provided services. A score of 0.5 is assigned when the government publishes reports of a broad nature benchmarking the quality of childcare services without assessing the individual providers. A score of 0 is assigned the government has not published any such reports. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Childcare, There is a clearly outlined application procedure to request financial support from the government for childcare services by nonstate childcare providers
Definition: The indicator assesses whether there is a clearly outlined application procedure for private centers or employers to request financial support from the government for the provision of childcare services. Score = 1 if the condition is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Childcare, There is a clearly outlined application procedure to request financial support from the government for childcare services by parents
Definition: The indicator assesses whether there is a clearly outlined application procedure for parents to request financial support from the government for childcare services. Score = 1 if the condition is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Childcare, There is a publicly available registry or database of childcare providers
Definition: The indicator assesses whether there is a publicly available registry or database of childcare providers. Score = 1 if the condition is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Childcare, Score (scale 0–100)
Definition: The Childcare topic enforcement perceptions score measures the extent to which laws related to childcare services are enforced in practice. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Childcare, Public authorities enforce existing legislation establishing quality standards for the provision of center-based childcare services
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation establishing quality standards for the provision of center-based childcare services in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of laws establishing quality standards for the provision of center-based childcare services, and 4 indicates full enforcement of such laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Childcare, Public authorities enforce existing legislation establishing support for families for childcare services
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation establishing support for families for childcare services in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of laws establishing support for families for childcare services and 4 indicates full enforcement of such laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Childcare, Public authorities enforce existing legislation establishing support for nonstate childcare providers
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation establishing support for nonstate childcare providers in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of laws establishing support for families for childcare services and 4 indicates full enforcement of such laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Childcare, Public authorities enforce existing legislation establishing the provision of center-based childcare services
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation establishing the provision of center-based childcare services in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of laws establishing center-based childcare services and 4 indicates full enforcement of such laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Children in employment, total (% of children ages 7-14)" indicator page provides information on the following indicators:
Children in employment, female (% of female children ages 7-14)
Definition: Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.
Source: Understanding Children's Work, International Labour Organization (ILO);
UN Children's Fund (UNICEF), note: Understanding Children's Work;
World Bank (WB), note: Understanding Children's Work
Children in employment, male (% of male children ages 7-14)
Definition: Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.
Source: Understanding Children's Work, International Labour Organization (ILO);
UN Children's Fund (UNICEF), note: Understanding Children's Work;
World Bank (WB), note: Understanding Children's Work
Children in employment, total (% of children ages 7-14)
Definition: Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.
Source: Understanding Children's Work, International Labour Organization (ILO);
UN Children's Fund (UNICEF), note: Understanding Children's Work;
World Bank (WB), note: Understanding Children's Work
The "Employers, total (% of total employment) (modeled ILO estimate)" indicator page provides information on the following indicators:
Employers, female (% of female employment) (modeled ILO estimate)
Definition: Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employers, male (% of male employment) (modeled ILO estimate)
Definition: Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employers, total (% of total employment) (modeled ILO estimate)
Definition: Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
The "Employment by sector (%) " indicator page provides information on the following indicators:
Employment in agriculture, female (% of female employment) (modeled ILO estimate)
Definition: Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment in agriculture, male (% of male employment) (modeled ILO estimate)
Definition: Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment in agriculture (% of total employment) (modeled ILO estimate)
Definition: Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment in industry, female (% of female employment) (modeled ILO estimate)
Definition: Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment in industry, male (% of male employment) (modeled ILO estimate)
Definition: Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment in industry (% of total employment) (modeled ILO estimate)
Definition: Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment in services, female (% of female employment) (modeled ILO estimate)
Definition: Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment in services, male (% of male employment) (modeled ILO estimate)
Definition: Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment in services (% of total employment) (modeled ILO estimate)
Definition: Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
The "Employment to population ratio (%)" indicator page provides information on the following indicators:
Employment to population ratio, 15+, female (%) (modeled ILO estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment to population ratio, 15+, female (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Employment to population ratio, 15+, male (%) (modeled ILO estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment to population ratio, 15+, male (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Employment to population ratio, 15+, total (%) (modeled ILO estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment to population ratio, 15+, total (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment to population ratio, ages 15-24, female (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment to population ratio, ages 15-24, male (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Employment to population ratio, ages 15-24, total (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
The "Female share of employment in senior and middle management (%)" indicator page provides information on the following indicators:
Female share of employment in senior and middle management (%)
Definition: The female share of employment in senior and middle management conveys the number of women in management as a percentage of employment in management. Employment in management is defined based on the International Standard Classification of Occupations. This series refers to senior and middle management only, thus excluding junior management (category 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 and minus category 13 in ISCO-88).
Source: Labour Market-related SDG Indicators database (ILOSDG), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
The "Human capital index plus (HCI+): on-the-job learning pillar score (scale -30-87)" indicator page provides information on the following indicators:
Human capital index plus (HCI+): on-the-job learning pillar score, female (scale -30–87)
Definition: The human capital index plus (HCI+): on-the-job learning pillar score measures human capital accumulation after age 18 through work experience. The measure captures labor force participation, unemployment, and wage employment for youth and adults.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://humancapital.worldbank.org/en/home
Human capital index plus (HCI+): on-the-job learning pillar score, male (scale -30–87)
Definition: The human capital index plus (HCI+): on-the-job learning pillar score measures human capital accumulation after age 18 through work experience. The measure captures labor force participation, unemployment, and wage employment for youth and adults.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://humancapital.worldbank.org/en/home
Human capital index plus (HCI+): on-the-job learning pillar score, total (scale -30–87)
Definition: The human capital index plus (HCI+): on-the-job learning pillar score measures human capital accumulation after age 18 through work experience. The measure captures labor force participation, unemployment, and wage employment for youth and adults.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://humancapital.worldbank.org/en/home
The "Informal employment (% of total agricultural employment)" indicator page provides information on the following indicators:
Informal employment (% of total agricultural employment)
Definition: This indicator shows the share of workers at working age in informal employment in agricultural activities out of total employment in agricultural activities, expressed as a percentage. Informal employment comprises persons whose main or secondary jobs are informal. For own-account workers and employers, informality is determined by enterprise characteristics (unincorporated, market-based, and unregistered); for contributing family workers, it is determined by the absence of written contracts and lack of coverage under labor legislation; and for employees, it is determined by whether the employment relationship is not subject to national labor legislation, income taxation, or social protection. The data are based on the statistical standards adopted by the 19th International Conference of Labour Statisticians (ICLS).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: July 14, 2026
Informal employment, female (% of total female agricultural employment)
Definition: This indicator shows the share of workers at working age in informal employment in agricultural activities out of total employment in agricultural activities, expressed as a percentage. Informal employment comprises persons whose main or secondary jobs are informal. For own-account workers and employers, informality is determined by enterprise characteristics (unincorporated, market-based, and unregistered); for contributing family workers, it is determined by the absence of written contracts and lack of coverage under labor legislation; and for employees, it is determined by whether the employment relationship is not subject to national labor legislation, income taxation, or social protection. The data are based on the statistical standards adopted by the 19th International Conference of Labour Statisticians (ICLS).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: July 14, 2026
Informal employment, male (% of total male agricultural employment)
Definition: This indicator shows the share of workers at working age in informal employment in agricultural activities out of total employment in agricultural activities, expressed as a percentage. Informal employment comprises persons whose main or secondary jobs are informal. For own-account workers and employers, informality is determined by enterprise characteristics (unincorporated, market-based, and unregistered); for contributing family workers, it is determined by the absence of written contracts and lack of coverage under labor legislation; and for employees, it is determined by whether the employment relationship is not subject to national labor legislation, income taxation, or social protection. The data are based on the statistical standards adopted by the 19th International Conference of Labour Statisticians (ICLS).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: July 14, 2026
The "Informal employment (% of total non-agricultural employment)" indicator page provides information on the following indicators:
Informal employment (% of total non-agricultural employment)
Definition: This indicator shows the share of workers at working age in informal employment in non-agricultural activities out of total employment in non-agricultural activities, expressed as a percentage. Informal employment comprises workers whose main or secondary jobs are informal. For own-account workers and employers, informality is determined by enterprise characteristics (unincorporated, market-based, and unregistered); for contributing family workers, it is determined by the absence of written contracts and lack of coverage under labor legislation; and for employees, it is determined by whether the employment relationship is not subject to national labor legislation, income taxation, or social protection. The data are based on the statistical standards adopted by the 19th International Conference of Labour Statisticians (ICLS).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: July 14, 2026
Informal employment, female (% of total female non-agricultural employment)
Definition: This indicator shows the share of workers at working age in informal employment in non-agricultural activities out of total employment in non-agricultural activities, expressed as a percentage. Informal employment comprises workers whose main or secondary jobs are informal. For own-account workers and employers, informality is determined by enterprise characteristics (unincorporated, market-based, and unregistered); for contributing family workers, it is determined by the absence of written contracts and lack of coverage under labor legislation; and for employees, it is determined by whether the employment relationship is not subject to national labor legislation, income taxation, or social protection. The data are based on the statistical standards adopted by the 19th International Conference of Labour Statisticians (ICLS).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: July 14, 2026
Informal employment, male (% of total male non-agricultural employment)
Definition: This indicator shows the share of workers at working age in informal employment in non-agricultural activities out of total employment in non-agricultural activities, expressed as a percentage. Informal employment comprises workers whose main or secondary jobs are informal. For own-account workers and employers, informality is determined by enterprise characteristics (unincorporated, market-based, and unregistered); for contributing family workers, it is determined by the absence of written contracts and lack of coverage under labor legislation; and for employees, it is determined by whether the employment relationship is not subject to national labor legislation, income taxation, or social protection. The data are based on the statistical standards adopted by the 19th International Conference of Labour Statisticians (ICLS).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: July 14, 2026
The "Labor force by level of education (%)" indicator page provides information on the following indicators:
Labor force with basic education, female (% of female working-age population with basic education)
Definition: The ratio of the labor force with basic education to the working-age population with basic education. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Labor force with basic education, male (% of male working-age population with basic education)
Definition: The ratio of the labor force with basic education to the working-age population with basic education. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Labor force with basic education (% of total working-age population with basic education)
Definition: The ratio of the labor force with basic education to the working-age population with basic education. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Labor force with intermediate education, female (% of female working-age population with intermediate education)
Definition: The ratio of the labor force with intermediate education to the working-age population with intermediate education. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Labor force with intermediate education, male (% of male working-age population with intermediate education)
Definition: The ratio of the labor force with intermediate education to the working-age population with intermediate education. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Labor force with intermediate education (% of total working-age population with intermediate education)
Definition: The ratio of the labor force with intermediate education to the working-age population with intermediate education. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Labor force with advanced education, female (% of female working-age population with advanced education)
Definition: The ratio of the labor force with advanced education to the working-age population with advanced education. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Labor force with advanced education, male (% of male working-age population with advanced education)
Definition: The ratio of the labor force with advanced education to the working-age population with advanced education. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Labor force with advanced education (% of total working-age population with advanced education)
Definition: The ratio of the labor force with advanced education to the working-age population with advanced education. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
The "Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)" indicator page provides information on the following indicators:
Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)
Definition: The labor force participation rate is the labor force as a percent of the population ages 15 and older. The labor force is the sum of all persons of working age who are employed and those who are unemployed.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate, female (% of female population ages 15+) (national estimate)
Definition: Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)
Definition: Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate, male (% of male population ages 15+) (national estimate)
Definition: Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)
Definition: Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate, total (% of total population ages 15+) (national estimate)
Definition: Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate)
Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate for ages 15-24, female (%) (national estimate)
Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate)
Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate for ages 15-24, male (%) (national estimate)
Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate)
Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate for ages 15-24, total (%) (national estimate)
Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate)
Definition: Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate)
Definition: Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)
Definition: Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
The "Labor force, female (% of total labor force)" indicator page provides information on the following indicators:
Labor force, female (% of total labor force)
Definition: Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period.
Source: International Labour Organization (ILO), type: estimates based on external database;
United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
The "Labor force, total" indicator page provides information on the following indicators:
Labor force, female
Definition: Female labor force comprises women ages 15 and older who supply labor for the production of goods and services during a specified period. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave.
Source: World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization and United Nations Population Division.
Labor force, male
Definition: Male labor force comprises men ages 15 and older who supply labor for the production of goods and services during a specified period. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave.
Source: World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization and United Nations Population Division.
Labor force, total
Definition: Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave.
Source: International Labour Organization (ILO), type: estimates based on external database;
United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
The "Parenthood Topic (Women, Business and the Law)" indicator page provides information on the following indicators:
WBL: Legal Framework, Parenthood, Score (scale 0-100)
Definition: The Parenthood legal frameworks topic score measures the availability of maternity and paternity leave, whether the cost is covered by the government, and whether dismissal of pregnant workers is prohibited. It is divided into four indicators, some of which consist of several questions. It is calculated as the unweighted average of the indicator scores in that topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Parenthood, Dismissal of pregnant workers is prohibited
Definition: The indicator assesses whether: (1) the law explicitly prohibits the dismissal of women during pregnancy and after childbirth (AND) the prohibition of dismissal is not restricted to a specific period (for example, only the period of maternity leave, or a limited period during the pregnancy) or to cases where pregnancy result in illness or disability; OR (2) pregnancy and childbirth cannot serve as grounds for terminating a contract; OR (3) the dismissal of women during pregnancy and after childbirth is considered a form of unlawful termination, unfair dismissal, or wrongful discharge.
Score = 1 if one or more of the three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Parenthood, Leave benefits for mothers are paid by the government
Definition: The indicator assesses whether according to the law leave benefits are paid by the following: (1) solely by the government, (2) shared between government and employer; (3) paid solely by an employer. Score=1 if leave benefits are fully paid or administered by the government (including compulsory social insurance schemes, public funds, or government-mandated private insurance), or if employer-paid benefits are fully reimbursed by the government. Score=0.5 if the cost of leave benefits is shared between the employer and the government. Score=0 if leave benefits are fully paid or administered by the employer without government reimbursement, or if there is no paid leave for mothers. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Parenthood, There is paid leave available to fathers
Definition: The indicator assesses whether law provides paternity leave. Score=1 if the length of paid leave for fathers is at least 14 calendar days. Score=0 if there is no paid leave for fathers. If the length of paid leave for fathers is less than 14 calendar days and greater than 0, the score for indicator is calculated using a linear function, indicating that as the length of leave for fathers increases, the score increases. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Parenthood, There is paid leave available to mothers
Definition: The indicator assesses whether law provides paid maternity leave. Score=1 if the length of paid leave for mothers is at least 98 calendar days. Score=0 if there is no paid leave. If the length is between 1 and 97 days, the score is calculated using a linear function, such that the score increases as the length of leave increases. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Parenthood, Score (scale 0-100)
Definition: The Parenthood supportive frameworks topic score examines policies and practices that support the implementation of laws pertaining to parents’ ability to continue working after having children, including the ease of application and incentives for father’s leave and availability of data on women’s unpaid care work. It is divided into four indicators. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Parenthood, Incentives are in place to encourage fathers to take paternity leave upon the birth of a child
Definition: The indicator assesses whether the following is in place: (1) fathers are entitled to paid paternity or parental leave as assessed under legal frameworks indicator; AND (2) there are incentives to promote fathers’ uptake of paternity or parental leave. Score = 1 if both conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Parenthood, It is possible to apply for maternity benefits using a single government application process
Definition: The indicator assesses the following: (1) whether maternity benefits are paid or administered solely by the government (or) payment is shared between the government and the employer as assessed under indicator; AND (2) a single government application process exists for applying for maternity benefits (or) employers can apply for maternity benefits on behalf of beneficiaries. Score = 1 both conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Parenthood, The government publishes anonymized sex-disaggregated data on unpaid care work
Definition: The indicator assesses whether: (1) a public entity, national statistical office, or social security administration has collected and published anonymized sex-disaggregated data on unpaid care work; AND (2) the data were published within the past three years preceding the data collection cutoff date; AND (3) the data are presented in a structured and comprehensive table format, either on a government-associated website or in an associated report. Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Parenthood, There are government-led initiatives aimed at promoting equal sharing of unpaid domestic and care work responsibilities between men and women
Definition: The indicator assesses whether government has currently undertaken or supported initiatives to promote the equal sharing of unpaid domestic and care work responsibilities between men and women. Score = 1 if the condition is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Parenthood, Score (scale 0–100)
Definition: The Parenthood topic enforcement perceptions score measures the extent to which laws on women’s work during and after pregnancy are enforced in practice. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Parenthood, Public authorities enforce existing legislation on leave benefits for mothers paid by the government
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation on leave benefits for mothers paid by the government in practice.Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Parenthood, Public authorities enforce existing legislation on paid leave for fathers
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation on paid leave for fathers in practice.Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Parenthood, Public authorities enforce existing legislation on paid leave for mothers
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation on paid leave for mothers in practice.Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Parenthood, Public authorities enforce existing legislation prohibiting dismissal of pregnant workers
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation prohibiting dismissal of pregnant workers in practice.Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Part time employment, total (% of total employment)" indicator page provides information on the following indicators:
Part time employment, female (% of total female employment)
Definition: Part-time employment rate represents the percentage of employment that is part time. Part time employment in this series is based on a common definition of less than 35 actual weekly hours worked.
Source: Wages and Working Time Statistics database (COND), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Part time employment, male (% of total male employment)
Definition: Part-time employment rate represents the percentage of employment that is part time. Part time employment in this series is based on a common definition of less than 35 actual weekly hours worked.
Source: Wages and Working Time Statistics database (COND), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Part time employment, total (% of total employment)
Definition: Part-time employment rate represents the percentage of employment that is part time. Part time employment in this series is based on a common definition of less than 35 actual weekly hours worked.
Source: Wages and Working Time Statistics database (COND), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
The "Pay Topic ( (Women, Business and the Law)" indicator page provides information on the following indicators:
WBL: Legal Framework, Pay, Score (scale 0-100)
Definition: The Pay legal frameworks topic score measures laws related to equal remuneration for women and men for work of equal value and women’s work at night, in different economic sectors, and in jobs deemed dangerous. It is divided into four indicators, some of which consist of several questions. It is calculated as the unweighted average of the indicator scores in that topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Pay, A woman can work at night in the same way as a man
Definition: The indicator assesses whether: (1) the law does not prohibit a woman who is not pregnant and not nursing from working at night in the same way as a man; AND (2) the law does not broadly prohibit a woman, including one with children over the age of one, from working at night and does not limit the hours that she can work at night; AND (3) the law does not give the relevant authority the power to restrict or prohibit a woman’s ability to work at night, regardless of any decisions issued by that authority. Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Pay, A woman can work in a job deemed dangerous in the same way as a man
Definition: The indicator assesses whether: (1) a woman work in a job deemed hazardous in the same way as a man; (2) a woman can work in a job deemed arduous in the same way as a man; (3) a woman can work in a job deemed morally inappropriate in the same way as a man; (4) the law is free of legal provisions that explicitly give the relevant government authority the power to restrict or prohibit women from working in jobs deemed dangerous. Partial score of 0.25 is assigned to each of the four underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Pay, A woman can work in different economic sectors in the same way as a man
Definition: The indicator assesses whether no laws prohibit or restrict a woman who is not pregnant and not nursing from working in the following sectors: (1) mining; (2) construction; (3) manufacturing; (4) agriculture; (5) transportation; (6) energy; (7) water sector; and (8) whether the law does not give the relevant authority the power to prohibit or restrict a woman’s ability to work in different economic sectors, regardless of any decisions issued by that authority. Each of the eight component questions are individually assessed. The final indicator score is calculated based on the number of component questions that receive a positive answer as follows: a score of 1 is assigned if the response to all eight component questions are 'Yes'; a score of 0.75 is assigned if the response to seven or six components questions are 'Yes'; a score of 0.50 is assigned if the response to five or four component questions are 'Yes'; a score of 0.25 is assigned if the response to three or two questions are 'Yes'; a score of 0 is assigned if the response to one or none of the component questions are 'Yes'. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Pay, The law mandates equal remuneration for work of equal value
Definition: The indicator assesses whether law mandates the following: (1) employers must pay equal remuneration to male and female employees who perform work of equal value in accordance with the definitions of “remuneration” and “work of equal value” provided by the ILO; AND (2) the law does not limit the principle of equal remuneration to equal work, the same work, similar work, or work of a similar nature; AND (3) the law does not limit the broad concept of “remuneration” to only basic wages or salary. Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Pay, Score (scale 0-100)
Definition: The Pay Supportive Framework topic score examines policies and practices that support the implementation of equal pay legislation, including pay transparency measures and enforcement mechanisms, and the availability of statistical sex-disaggregated data on women’s employment and salaries in different economic sectors. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Pay, The government provides anonymized sex-disaggregated data on employment and salaries in different economic sectors
Definition: The indicator assesses whether the government provides the anonymized sex-disaggregated data on the following: (1) employment in different economic sectors; (2) salaries in different economic sectors. Partial score of 0.5 is assigned to each of the two underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Pay, There are gender-sensitive occupational safety and health (OSH) public policies applicable to the private sector
Definition: The indicator assesses whether: (1) the law does not prohibit women from working in certain jobs or economic sectors, or during certain hours, as assessed under questions I; AND (2) there is an active occupational safety and health policy, at either the national, state, or municipal level (that is, a country’s main business city); AND (3) the policy explicitly considers either women’s occupational safety and health, specific risks that disproportionately affect working women (such as reproductive hazards, violence at work, stressful workplace factors, inadequate personal protective equipment, tools and machinery, among others), or the establishment of a national institute that examines gender issues in occupational safety and health. Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Pay, There are government-led initiatives aimed at incentivizing women to work in science, technology, engineering and mathematics (STEM) fields
Definition: The indicator assesses whether: (1) there is at least one initiative administered or at least partially funded by a public entity to incentivize women to work in science, technology, engineering, and mathematics (STEM) fields; AND (2) the initiative is in effect during the reporting cycle or has been published within the past five years preceding the data collection cutoff date if there is no expiration date specified in the document. Score = 1 if both conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Pay, There are pay transparency measures to address the pay gap or mechanisms to enforce equal pay legislation
Definition: The indicator assesses whether the following are in place: (1) pay transparency measures to address the pay gap; (2) enforcement mechanisms to ensure compliance with equal pay legislation. Score = 1 if any of the two conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Pay, Score (scale 0–100)
Definition: The Pay topic enforcement perception score measures the extent to which laws on occupational segregation and the gender wage gap are enforced in practice or the consequent rights are upheld in practice. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Pay, Public authorities enforce a woman's right to work at night in the same way as a man
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce a woman's right to work at night in the same way as a man in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Pay, Public authorities enforce a woman's right to work in a job deemed dangerous in the same way as a man
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce a woman's right to work in a job deemed dangerous in the same way as a man in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Pay, Public authorities enforce a woman's right to work in different economic sectors in the same way as a man
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce a woman's right to work in different economic sectors in the same way as a man in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Pay, Public authorities enforce existing legislation mandating equal remuneration for work of equal value
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation mandating equal remuneration for work of equal value in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Proportion of time spent on unpaid domestic and care work (% of 24 hour day)" indicator page provides information on the following indicators:
Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)
Definition: The average time women spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.
Source: National statistical offices or national database and publications, United Nations (UN), uri: https://unstats.un.org/sdgs/dataportal/database, note: Indicator code from the original source: SH_FPL_INFM; Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%), publisher: UN Statistics Division, type: Excel, date accessed: 46190, date published: 2026-03-27
Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)
Definition: The average time men spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.
Source: National statistical offices or national database and publications compiled by United Nations Statistics Division., United Nations (UN), uri: https://unstats.un.org/sdgs/dataportal/database, note: Indicator code from the original source: SH_FPL_INFM; Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%), publisher: UN Statistics Division, type: Excel, date accessed: 46190, date published: 2026-03-27
The "Ratio of female to male labor force participation rate (%) (modeled ILO estimate)" indicator page provides information on the following indicators:
Ratio of female to male labor force participation rate (%) (modeled ILO estimate)
Definition: Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: estimates based on external database;
Staff estimates, World Bank (WB)
Ratio of female to male labor force participation rate (%) (national estimate)
Definition: Ratio of female to male labor force participation rate is the proportion of female labor force participation relative to male labor force participation. The labor force participation rate is the labor force as a percent of the population ages 15 and older. The labor force is the sum of all persons of working age who are employed and those who are unemployed.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: estimates based on external database;
Staff estimates, World Bank (WB)
The "Ratio of female to male youth unemployment rate (% ages 15-24) (modeled ILO estimate)" indicator page provides information on the following indicators:
Ratio of female to male youth unemployment rate (% ages 15-24) (modeled ILO estimate)
Definition: Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
Source: World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.
Ratio of female to male youth unemployment rate (% ages 15-24) (national estimate)
Definition: Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
Source: World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.
The "Self-employed, total (% of total employment) (modeled ILO estimate)" indicator page provides information on the following indicators:
Self-employed, female (% of female employment) (modeled ILO estimate)
Definition: Self-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include sub-categories of employers, own-account workers and members of producers' cooperatives and contributing family workers.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Self-employed, male (% of male employment) (modeled ILO estimate)
Definition: Self-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include sub-categories of employers, own-account workers and members of producers' cooperatives and contributing family workers.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Self-employed, total (% of total employment) (modeled ILO estimate)
Definition: Self-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include sub-categories of employers, own-account workers and members of producers' cooperatives and contributing family workers.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
The "Share of youth not in education, employment or training, total (% of youth population)" indicator page provides information on the following indicators:
Share of youth not in education, employment or training, female (% of female youth population)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Share of youth not in education, employment or training, male (% of male youth population)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Share of youth not in education, employment or training, total (% of youth population)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Share of youth not in education, employment or training, female (% of female youth population) (modeled ILO estimate)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Share of youth not in education, employment or training, male (% of male youth population) (modeled ILO estimate)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Share of youth not in education, employment or training, total (% of youth population) (modeled ILO estimate)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
The "Time-related underemployment (% of employment)" indicator page provides information on the following indicators:
Time-related underemployment, female (% of employment)
Definition: Time-related underemployment refers to all persons in employment who (i) wanted to work additional hours, (ii) had worked less than a specified hours threshold (working time in all jobs), and (iii) were available to work additional hours given an opportunity for more work.
Source: International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.
Time-related underemployment, male (% of employment)
Definition: Time-related underemployment refers to all persons in employment who (i) wanted to work additional hours, (ii) had worked less than a specified hours threshold (working time in all jobs), and (iii) were available to work additional hours given an opportunity for more work.
Source: International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.
The "Unemployment (%)" indicator page provides information on the following indicators:
Unemployment, female (% of female labor force) (modeled ILO estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, female (% of female labor force) (national estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, male (% of male labor force) (modeled ILO estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, male (% of male labor force) (national estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, total (% of total labor force) (modeled ILO estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, total (% of total labor force) (national estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, youth female (% of female labor force ages 15-24) (national estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, youth male (% of male labor force ages 15-24) (national estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, youth total (% of total labor force ages 15-24) (national estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
The "Unemployment by level of education (%)" indicator page provides information on the following indicators:
Unemployment with basic education, female (% of female labor force with basic education)
Definition: The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Unemployment with basic education, male (% of male labor force with basic education)
Definition: The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Unemployment with basic education (% of total labor force with basic education)
Definition: The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Unemployment with intermediate education, female (% of female labor force with intermediate education)
Definition: The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Unemployment with intermediate education, male (% of male labor force with intermediate education)
Definition: The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Unemployment with intermediate education (% of total labor force with intermediate education)
Definition: The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Unemployment with advanced education, female (% of female labor force with advanced education)
Definition: The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Unemployment with advanced education, male (% of male labor force with advanced education)
Definition: The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
Unemployment with advanced education (% of total labor force with advanced education)
Definition: The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
Source: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
The "Vulnerable employment, total (% of total employment) (modeled ILO estimate)" indicator page provides information on the following indicators:
Vulnerable employment, female (% of female employment) (modeled ILO estimate)
Definition: Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: estimates based on external database;
Staff estimates, World Bank (WB)
Vulnerable employment, male (% of male employment) (modeled ILO estimate)
Definition: Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: estimates based on external database;
Staff estimates, World Bank (WB)
Vulnerable employment, total (% of total employment) (modeled ILO estimate)
Definition: Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: estimates based on external database;
Staff estimates, World Bank (WB)
The "WBL: Enforcement Perceptions Index (scale 0-100)" indicator page provides information on the following indicators:
WBL: Enforcement Perceptions Index (scale 0-100)
Definition: The index is a composite measure (0–100) that summarizes how enforcement perceptions shape women’s economic opportunities across ten topics: Safety, Mobility, Work, Pay, Marriage, Parenthood, Childcare, Entrepreneurship, Assets, and Pension. It is calculated as the unweighted average of the ten topic scores, with 100 representing the highest possible score and 0 the lowest. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "WBL: Legal Framework Index (scale 0-100)" indicator page provides information on the following indicators:
WBL: Legal Framework Index (scale 0-100)
Definition: The index refers to the composite measure (0–100) that summarizes how legal frameworks shape women’s economic opportunities across ten topics: Safety, Mobility, Work, Pay, Marriage, Parenthood, Childcare, Entrepreneurship, Assets, and Pension. It is calculated by taking the unweighted average of the ten topic scores, with 100 representing the highest possible score and 0 the lowest. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "WBL: Supportive Framework Index (scale 0-100)" indicator page provides information on the following indicators:
WBL: Supportive Framework Index (scale 0-100)
Definition: The index refers to the composite measure (0–100) that summarizes how supporting frameworks shape women’s economic opportunities across ten topics: Safety, Mobility, Work, Pay, Marriage, Parenthood, Childcare, Entrepreneurship, Assets, and Pension. It is calculated by taking the unweighted average of the ten topic scores, with 100 representing the highest possible score and 0 the lowest. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Wage and salaried workers, total (% of total employment) (modeled ILO estimate)" indicator page provides information on the following indicators:
Wage and salaried workers, female (% of female employment) (modeled ILO estimate)
Definition: Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Wage and salaried workers, male (% of male employment) (modeled ILO estimate)
Definition: Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Wage and salaried workers, total (% of total employment) (modeled ILO estimate)
Definition: Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
The "Work Topic (Women, Business and the Law)" indicator page provides information on the following indicators:
WBL: Legal Framework, Work, Score (scale 0-100)
Definition: The Work legal frameworks topic score measures laws protecting against discrimination based on gender in recruitment and employment and laws providing flexible work arrangements. It is divided into four indicators, some of which consist of several questions. It is calculated as the unweighted average of the indicator scores in that topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Work, The law allows employees to request flexible work
Definition: The indicator assesses whether the law allows employees to request flexibility regarding the following: (1) time of work; (2) place of work. Partial score of 0.5 is assigned to each of the two underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Work, The law allows women to get a job in the same way as a man
Definition: The indicator assesses whether: (1) there are no restrictions on a woman’s legal capacity and ability to get a job or pursue a trade or profession; AND (2) the law does not mandate that a woman must seek formal approval or provide additional documentation (such as written consent or authorization) from her husband or guardian; AND (3) the law does not impose legal consequences, such as loss of maintenance or financial support, on women who work against their husband’s or family’s wishes, treating it as a form of disobedience. Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Work, The law prohibits discrimination in employment based on gender
Definition: The indicator assesses whether: (1) the law prohibits employers from discriminating based on gender, or the law mandates equal treatment of women and men in employment; AND (2) the law does not prohibit discrimination in only one aspect of employment, such as pay or dismissal. Score = 1 if both conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Work, The law prohibits discrimination in recruitment based on marital status, parental status, or age
Definition: The indicator assesses whether the law prohibits discrimination in recruitment based on the following: (1) marital status; (2) parental status; and (3) age. Partial score of 0.33 is assigned to each of the three underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Work, Score (scale 0-100)
Definition: The Work supportive frameworks topic score examines policies and practices that support the implementation of laws related to the workplace, including the existence of institutions to receive complaints related to discrimination in employment, instructional resources published by the government on nondiscrimination and flexible work arrangements, and national plans to foster women’s labor market inclusion. It is divided into four indicators, some of which consist of several questions. It is calculated as the unweighted average of the indicator scores in that topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Work, A national government plan or strategy focuses on women's access to the labor market
Definition: The indicator assesses whether there exist a national government plan or strategy which includes the following: (1) measures to increase women’s access to the labor market; (2) institutional arrangements to monitor the implementation of the plan or strategy; (3) result targets and indicators. Partial score of 0.33 is assigned to each of the three underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Work, A specialized body receives complaints about gender discrimination in employment
Definition: The indicator assesses whether: (1) an specialized and independent body has a mandate to receive, adjudicate, or refer to the competent courts, complaints made by public and private actors related to discrimination in employment based on gender; AND (2) the mandate extends to cases about employment relations in the private sector; AND (3) the body is operational. Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Work, The government provides awareness-raising measures on fair recruitment policies free from discrimination based on gender
Definition: The indicator assesses whether: (1) a public entity has introduced awareness-raising measures or published other instructional resources; information provided by a private or nongovernmental agency is insufficient; AND (2) the awareness measures provides private sector employers with information on how to implement nondiscrimination based on gender in recruitment practices; AND (3) the information has been released or updated within the past five years preceding the data collection cut-off date. Score = 1 if all the conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Work, The government provides instructional resources for the private sector to adopt flexible work arrangements
Definition: The indicator assesses whether a public entity has provided instructional resources to private sector employers with information on how to implement flexible work arrangements. Score = 1 if condition is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Work, Score (scale 0–100)
Definition: The Work topic enforcement perception score measures the extent to which laws related to a woman's decision to enter and remain in the labor force are enforced in practice or the consequent rights are upheld in practice. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Work, Public authorities enforce a woman's right to get a job in the same way as a man
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce a woman's right to get a job in the same way as a man in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Work, Public authorities enforce existing legislation allowing employees to request flexible work
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation allowing employees to request flexible work in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Work, Public authorities enforce existing legislation prohibiting discrimination in employment based on gender
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation prohibiting discrimination in employment based on gender in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Work, Public authorities enforce existing legislation prohibiting discrimination in recruitment based on marital status, parental status, or age
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation prohibiting discrimination in recruitment based on marital status, parental status, or age in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Children out of school (% of primary school age)" indicator page provides information on the following indicators:
Children out of school (% of primary school age)
Definition: Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "Death rate, crude (per 1,000 people)" indicator page provides information on the following indicators:
Death rate, crude (per 1,000 people)
Definition: Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs);
Demographic Statistics, Eurostat (ESTAT);
Population and Vital Statistics Report (various years), United Nations (UN), publisher: UN Statistical Division
The "First bank or similar financial institution account ever was opened to receive a wage payment or money from the government (% age 15+)" indicator page provides information on the following indicators:
First bank or similar financial institution account ever was opened to receive a wage payment or money from the government (% age 15+)
Definition: The percentage of respondents who report opening a bank or similar financial institution account for the first time to receive money from the government or to receive a wage payment, (% age 15+)
Source: Global Findex Database
First bank or similar financial institution account ever was opened to receive a wage payment or money from the government, women (% age 15+)
Definition: The percentage of respondents who report opening a bank or similar financial institution account for the first time to receive money from the government or to receive a wage payment, women (% age 15+)
Source: Global Findex Database
First bank or similar financial institution account ever was opened to receive a wage payment or money from the government, men (% age 15+)
Definition: The percentage of respondents who report opening a bank or similar financial institution account for the first time to receive money from the government or to receive a wage payment, men (% age 15+)
Source: Global Findex Database
The "GDP (annual % growth)" indicator page provides information on the following indicators:
GDP (annual % growth)
Definition: Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator denotes the percentage change over each previous year of the constant price (base year 2015) series in United States dollars.
Source: Country official statistics, National Statistical Organizations and/or Central Banks;
National Accounts data files, Organisation for Economic Co-operation and Development (OECD);
Staff estimates, World Bank (WB)
The "GDP (current US$)" indicator page provides information on the following indicators:
GDP (current US$)
Definition: Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
Source: Country official statistics, National Statistical Organizations and/or Central Banks;
National Accounts data files, Organisation for Economic Co-operation and Development (OECD);
Staff estimates, World Bank (WB)
The "GDP per capita (constant 2015 US$)" indicator page provides information on the following indicators:
GDP per capita (constant 2015 US$)
Definition: Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2015. This indicator is expressed in United States dollars.
Source: Country official statistics, National Statistical Organizations and/or Central Banks;
National Accounts data files, Organisation for Economic Co-operation and Development (OECD);
Staff estimates, World Bank (WB)
The "GDP per capita (current US$)" indicator page provides information on the following indicators:
GDP per capita (current US$)
Definition: Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
Source: Country official statistics, National Statistical Organizations and/or Central Banks;
National Accounts data files, Organisation for Economic Co-operation and Development (OECD);
Staff estimates, World Bank (WB)
The "GNI per capita, Atlas method (current US$)" indicator page provides information on the following indicators:
GNI per capita, Atlas method (current US$)
Definition: Gross national income is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad. This figure is converted to U.S. dollars using the World Bank Atlas method, and divided by the midyear population. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
Source: Country official statistics, National Statistical Organizations and/or Central Banks;
National Accounts data files, Organisation for Economic Co-operation and Development (OECD);
Staff estimates, World Bank (WB)
The "GNI per capita, PPP (current international $)" indicator page provides information on the following indicators:
GNI per capita, PPP (current international $)
Definition: This indicator provides values for gross national income (GNI) per person expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons.
Gross national income is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad. The core indicator has been divided by the general population to achieve a per capita estimate. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
Source: International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;
The Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;
The OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;
Staff estimates, World Bank (WB);
National Accounts data files, Organisation for Economic Co-operation and Development (OECD);
World Economic Outlook database, International Monetary Fund (IMF)
The "GNI, Atlas method (current US$)" indicator page provides information on the following indicators:
GNI, Atlas method (current US$)
Definition: Gross national income is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad. This figure is converted to U.S. dollars using the World Bank Atlas method. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
Source: Country official statistics, National Statistical Organizations and/or Central Banks;
National Accounts data files, Organisation for Economic Co-operation and Development (OECD);
Staff estimates, World Bank (WB)
The "Gini index" indicator page provides information on the following indicators:
Gini index
Definition: Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.
Source: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org., World Bank (WB), uri: http://pip.worldbank.org, note: Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database.
The "Government expenditure on education, total (% of GDP)" indicator page provides information on the following indicators:
Government expenditure on education, total (% of GDP)
Definition: General government expenditure on education (current, capital, and transfers) is expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
The "Government expenditure per student, primary (% of GDP per capita)" indicator page provides information on the following indicators:
Government expenditure per student, primary (% of GDP per capita)
Definition: Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Government expenditure per student, secondary (% of GDP per capita)" indicator page provides information on the following indicators:
Government expenditure per student, secondary (% of GDP per capita)
Definition: Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Households with water 30 minutes or longer away round trip (%)" indicator page provides information on the following indicators:
Households with water 30 minutes or longer away round trip (%)
Definition: Percentage of households who have a water source 30 minutes or longer away round trip
Source: Demographic and Health Surveys (DHS)
The "Households with water less than 30 minutes away round trip (%)" indicator page provides information on the following indicators:
Households with water less than 30 minutes away round trip (%)
Definition: Percentage of households who have a water source in less than 30 minutes away round trip
Source: Demographic and Health Surveys (DHS)
The "Households with water on the premises (%)" indicator page provides information on the following indicators:
Households with water on the premises (%)
Definition: Percentage of households who have a water source on their premises
Source: Demographic and Health Surveys (DHS)
The "Immunization, DPT (% of children ages 12-23 months)" indicator page provides information on the following indicators:
Immunization, DPT (% of children ages 12-23 months)
Definition: Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.
Source: World Health Organization (WHO), uri: http://www.who.int/immunization/monitoring_surveillance/en/;
UN Children's Fund (UNICEF)
The "Immunization, measles (% of children ages 12-23 months)" indicator page provides information on the following indicators:
Immunization, measles (% of children ages 12-23 months)
Definition: Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.
Source: World Health Organization (WHO), uri: http://www.who.int/immunization/monitoring_surveillance/en/;
UN Children's Fund (UNICEF), uri: https://data.unicef.org/topic/child-health/immunization/
The "Inflation, consumer prices (annual % growth)" indicator page provides information on the following indicators:
Inflation, consumer prices (annual % growth)
Definition: Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly.
Source: International Financial Statistics database, International Monetary Fund (IMF)
The "Location of cooking: inside the house (% of households)" indicator page provides information on the following indicators:
Location of cooking: inside the house (% of households)
Definition: Percentage of households who do their cooking inside the house
Source: Demographic and Health Surveys (DHS)
The "Location of cooking: other places (% of households)" indicator page provides information on the following indicators:
Location of cooking: other places (% of households)
Definition: Percentage of households who do their cooking in other places
Source: Demographic and Health Surveys (DHS)
The "Location of cooking: outdoors (% of households)" indicator page provides information on the following indicators:
Location of cooking: outdoors (% of households)
Definition: Percentage of households who do their cooking outdoors
Source: Demographic and Health Surveys (DHS)
The "Location of cooking: separate building (% of households)" indicator page provides information on the following indicators:
Location of cooking: separate building (% of households)
Definition: Percentage of households who do their cooking in a separate building
Source: Demographic and Health Surveys (DHS)
The "Main cooking fuel: LPG/natural gas/biogas (% of households)" indicator page provides information on the following indicators:
Main cooking fuel: LPG/natural gas/biogas (% of households)
Definition: Percentage of households who use Liquified Petroleum Gas (LPG) or natural gas or biogas as thier main cooking fuel
Source: Demographic and Health Surveys (DHS)
The "Main cooking fuel: agricultural crop (% of households)" indicator page provides information on the following indicators:
Main cooking fuel: agricultural crop (% of households)
Definition: Percentage of households who use agricultural crop as thier main cooking fuel
Source: Demographic and Health Surveys (DHS)
The "Main cooking fuel: charcoal (% of households)" indicator page provides information on the following indicators:
Main cooking fuel: charcoal (% of households)
Definition: Percentage of households who use charcoal as thier main cooking fuel
Source: Demographic and Health Surveys (DHS)
The "Main cooking fuel: dung (% of households)" indicator page provides information on the following indicators:
Main cooking fuel: dung (% of households)
Definition: Percentage of households who use dung as thier main cooking fuel
Source: Demographic and Health Surveys (DHS)
The "Main cooking fuel: electricity (% of households)" indicator page provides information on the following indicators:
Main cooking fuel: electricity (% of households)
Definition: Percentage of households who use electricity as thier main cooking fuel
Source: Demographic and Health Surveys (DHS)
The "Main cooking fuel: straw/shrubs/grass (% of households)" indicator page provides information on the following indicators:
Main cooking fuel: straw/shrubs/grass (% of households)
Definition: Percentage of households who use straw/shrubs/grass as thier main cooking fuel
Source: Demographic and Health Surveys (DHS)
The "Main cooking fuel: wood (% of households)" indicator page provides information on the following indicators:
Main cooking fuel: wood (% of households)
Definition: Percentage of households who use wood as thier main cooking fuel
Source: Demographic and Health Surveys (DHS)
The "No account because someone in the family has one (% age 15+)" indicator page provides information on the following indicators:
No account because someone in the family has one (% age 15+)
Definition: The percentage of respondents who report not having a bank or similar financial institution account because someone else in their family already has one, (% age 15+)
Source: Global Findex Database
No account because someone in the family has one, women (% age 15+)
Definition: The percentage of respondents who report not having a bank or similar financial institution account because someone else in their family already has one, women (% age 15+)
Source: Global Findex Database
No account because someone in the family has one, men (% age 15+)
Definition: The percentage of respondents who report not having a bank or similar financial institution account because someone else in their family already has one, men (% age 15+)
Source: Global Findex Database
The "People practicing open defecation (% of population)" indicator page provides information on the following indicators:
People practicing open defecation (% of population)
Definition: People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO), uri: washdata.org, publisher: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org), date accessed: 2025-09-30, date published: 2025-08-25;
UN Children's Fund (UNICEF), uri: washdata.org, note: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene
The "People practicing open defecation, rural (% of rural population)" indicator page provides information on the following indicators:
People practicing open defecation, rural (% of rural population)
Definition: People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO), uri: washdata.org, publisher: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org), date accessed: 2025-09-30, date published: 2025-08-25;
UN Children's Fund (UNICEF), uri: washdata.org, note: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene
The "People practicing open defecation, urban (% of urban population)" indicator page provides information on the following indicators:
People practicing open defecation, urban (% of urban population)
Definition: People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO), uri: washdata.org, publisher: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org), date accessed: 2025-09-30, date published: 2025-08-25;
UN Children's Fund (UNICEF), uri: washdata.org, note: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene
The "Poverty headcount ratio at $3.00 a day (2021 PPP) (% of population)" indicator page provides information on the following indicators:
Poverty headcount ratio at $3.00 a day (2021 PPP) (% of population)
Definition: Poverty headcount ratio at $3.00 a day is the percentage of the population living on less than $3.00 a day at 2021 purchasing power adjusted prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.
Source: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org., World Bank (WB), uri: http://pip.worldbank.org, note: Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database.
The "Poverty headcount ratio at national poverty lines (% of population)" indicator page provides information on the following indicators:
Poverty headcount ratio at national poverty lines (% of population)
Definition: National poverty headcount ratio is the percentage of the population living below the national poverty line(s). National estimates are based on population-weighted subgroup estimates from household surveys. For economies for which the data are from EU-SILC, the reported year is the income reference year, which is the year before the survey year.
Source: World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines., World Bank (WB), note: Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.
The "Received information about account balance from bank through email, SMS, or text message on mobile in the past 12 months (% age 15+)" indicator page provides information on the following indicators:
Received information about account balance from bank through email, SMS, or text message on mobile in the past 12 months (% age 15+)
Definition: The percentage of respondents who report having a bank or similar financial institution account,and report receiving any information about their account balance from their bank, such as through email, SMS, or text message, (% age 15+)
Source: Global Findex Database
Received information about account balance from bank through email, SMS, or text message on mobile in the past 12 months, women (% age 15+)
Definition: The percentage of respondents who report having a bank or similar financial institution account,and report receiving any information about their account balance from their bank, such as through email, SMS, or text message, women (% age 15+)
Source: Global Findex Database
Received information about account balance from bank through email, SMS, or text message on mobile in the past 12 months, men (% age 15+)
Definition: The percentage of respondents who report having a bank or similar financial institution account,and report receiving any information about their account balance from their bank, such as through email, SMS, or text message, men (% age 15+)
Source: Global Findex Database
The "Received phone call or SMS asking for money in the past 12 months (% age 15+)" indicator page provides information on the following indicators:
Received phone call or SMS asking for money in the past 12 months (% age 15+)
Definition: The percentage of respondents who report that they have received a phone call, SMS, or text message on their mobile phone from someone they didn't know, asking them to send money, (% age 15+)
Source: Global Findex Database
Received phone call or SMS asking for money in the past 12 months, women (% age 15+)
Definition: The percentage of respondents who report that they have received a phone call, SMS, or text message on their mobile phone from someone they didn't know, asking them to send money, women (% age 15+)
Source: Global Findex Database
Received phone call or SMS asking for money in the past 12 months, men (% age 15+)
Definition: The percentage of respondents who report that they have received a phone call, SMS, or text message on their mobile phone from someone they didn't know, asking them to send money, men (% age 15+)
Source: Global Findex Database
The "Used mobile phone or card to pay (% of total population, age 15+)" indicator page provides information on the following indicators:
Used mobile phone or card to pay for household food or cleaning supplies (% age 15+)
Definition: The percentage of respondents who report using mobile phone or card to pay for household food or cleaning supplies, (% age 15+)
Source: Global Findex Database
Used mobile phone or card to pay for household food or cleaning supplies, women (% age 15+)
Definition: The percentage of respondents who report using mobile phone or card to pay for household food or cleaning supplies, women (% age 15+)
Source: Global Findex Database
Used mobile phone or card to pay for household food or cleaning supplies, men (% age 15+)
Definition: The percentage of respondents who report using mobile phone or card to pay for household food or cleaning supplies, men (% age 15+)
Source: Global Findex Database
Used mobile phone or card to pay for in-store purchase (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or card to pay for instore purchase in the past year, (% age 15+)
Source: Global Findex Database
Used mobile phone or card to pay for in-store purchase, women (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or card to pay for instore purchase in the past year, women (% age 15+)
Source: Global Findex Database
Used mobile phone or card to pay for in-store purchase, men (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or card to pay for instore purchase in the past year, men (% age 15+)
Source: Global Findex Database
Did NOT use mobile phone or card to pay for in-store purchase (% age 15+)
Definition: The percentage of respondents who report not using a mobile phone or card to pay for instore purchase in the past year, (% age 15+)
Source: Global Findex Database
Did NOT use mobile phone or card to pay for in-store purchase , women (% age 15+)
Definition: The percentage of respondents who report not using a mobile phone or card to pay for instore purchase in the past year, women (% age 15+)
Source: Global Findex Database
Did NOT use mobile phone or card to pay for in-store purchase , men (% age 15+)
Definition: The percentage of respondents who report not using a mobile phone or card to pay for instore purchase in the past year, men (% age 15+)
Source: Global Findex Database
Reason for cash payment for in-store purchases: used to paying it with cash (% age 15+)
Definition: The percentage of respondents who report the main reason they used cash to pay for instore purchase in the past year, is because they are used to paying by cash, (% age 15+)
Source: Global Findex Database
Reason for cash payment for in-store purchases: used to paying it with cash, women (% age 15+)
Definition: The percentage of respondents who report the main reason they used cash to pay for instore purchase in the past year, is because they are used to paying by cash, women (% age 15+)
Source: Global Findex Database
Reason for cash payment for in-store purchases: used to paying it with cash, men (% age 15+)
Definition: The percentage of respondents who report the main reason they used cash to pay for instore purchase in the past year, is because they are used to paying by cash, men (% age 15+)
Source: Global Findex Database
The "Wage payments: leave some money in the account (% age 15+)" indicator page provides information on the following indicators:
Wage payments: leave some money in the account (% age 15+)
Definition: The percentage of respondents who report leaving some money in the account when their employer paid them salary or wages into their account, (% age 15+)
Source: Global Findex Database
Wage payments: leave some money in the account, women (% age 15+)
Definition: The percentage of respondents who report leaving some money in the account when their employer paid them salary or wages into their account, women (% age 15+)
Source: Global Findex Database
Wage payments: leave some money in the account, men (% age 15+)
Definition: The percentage of respondents who report leaving some money in the account when their employer paid them salary or wages into their account, men (% age 15+)
Source: Global Findex Database
The "Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)" indicator page provides information on the following indicators:
Account, women (% age 15+)
Definition: The percentage of respondents who report having an account (by themselves or together with someone else) at a bank or similar financial institution (see the definition for "bank or similar financial institution account") or report personally using a mobile money service in the past year (see the definition for "mobile money account"), women (% age 15+)
Source: Global Findex Database
Account, men (% age 15+)
Definition: The percentage of respondents who report having an account (by themselves or together with someone else) at a bank or similar financial institution (see the definition for "bank or similar financial institution account") or report personally using a mobile money service in the past year (see the definition for "mobile money account"), men (% age 15+)
Source: Global Findex Database
Account (% age 15+)
Definition: The percentage of respondents who report having an account (by themselves or together with someone else) at a bank or similar financial institution (see the definition for "bank or similar financial institution account") or report personally using a mobile money service in the past year (see the definition for "mobile money account"), (% age 15+)
Source: Global Findex Database
The "Buys data package for internet use (% age 15+)" indicator page provides information on the following indicators:
Buys data package for internet use (% age 15+)
Definition: The percentage of respondents who report that they buy a data package to use the internet, (% age 15+)
Source: Global Findex Database
Buys data package for internet use, women (% age 15+)
Definition: The percentage of respondents who report that they buy a data package to use the internet, women (% age 15+)
Source: Global Findex Database
Buys data package for internet use, men (% age 15+)
Definition: The percentage of respondents who report that they buy a data package to use the internet, men (% age 15+)
Source: Global Findex Database
The "Buys data package monthly (% of total population, age 15+)" indicator page provides information on the following indicators:
Buys data package monthly (% age 15+)
Definition: The percentage of respondents who report that they buy a monthly data package to use the internet, (% age 15+)
Source: Global Findex Database
Buys data package monthly, women (% age 15+)
Definition: The percentage of respondents who report that they buy a monthly data package to use the internet, women (% age 15+)
Source: Global Findex Database
Buys data package monthly, men (% age 15+)
Definition: The percentage of respondents who report that they buy a monthly data package to use the internet, men (% age 15+)
Source: Global Findex Database
The "Can change PIN or password on mobile phone without help (% age 15+)" indicator page provides information on the following indicators:
Can change PIN or password on mobile phone without help (% age 15+)
Definition: The percentage of respondents who report that they can change the PIN or password, without help, on the mobile phone they use, (% age 15+)
Source: Global Findex Database
Can change PIN or password on mobile phone without help, women (% age 15+)
Definition: The percentage of respondents who report that they can change the PIN or password, without help, on the mobile phone they use, women (% age 15+)
Source: Global Findex Database
Can change PIN or password on mobile phone without help, men (% age 15+)
Definition: The percentage of respondents who report that they can change the PIN or password, without help, on the mobile phone they use, men (% age 15+)
Source: Global Findex Database
The "Can send a text message on a mobile phone (% age 15+)" indicator page provides information on the following indicators:
Can send a text message on a mobile phone (% age 15+)
Definition: The percentage of respondents who report that they sent a text message through a mobile phone. This can include an SMS or text message or a message on a messaging app, such as WhatsApp, (% age 15+)
Source: Global Findex Database
Can send a text message on a mobile phone, women (% age 15+)
Definition: The percentage of respondents who report that they sent a text message through a mobile phone. This can include an SMS or text message or a message on a messaging app, such as WhatsApp, women (% age 15+)
Source: Global Findex Database
Can send a text message on a mobile phone, men (% age 15+)
Definition: The percentage of respondents who report that they sent a text message through a mobile phone. This can include an SMS or text message or a message on a messaging app, such as WhatsApp, men (% age 15+)
Source: Global Findex Database
The "Daily internet use (% of total population, age 15+)" indicator page provides information on the following indicators:
Daily internet use (% age 15+)
Definition: The percentage of respondents who report that they use the internet daily, (% age 15+)
Source: Global Findex Database
Daily internet use, women (% age 15+)
Definition: The percentage of respondents who report that they use the internet daily, women (% age 15+)
Source: Global Findex Database
Daily internet use, men (% age 15+)
Definition: The percentage of respondents who report that they use the internet daily, men (% age 15+)
Source: Global Findex Database
The "Daily mobile phone use (% of total population, age 15+)" indicator page provides information on the following indicators:
Daily mobile phone use (% age 15+)
Definition: The percentage of respondents who report that they use a mobile phone daily, (% age 15+)
Source: Global Findex Database
Daily mobile phone use, women (% age 15+)
Definition: The percentage of respondents who report that they use a mobile phone daily, women (% age 15+)
Source: Global Findex Database
Daily mobile phone use, men (% age 15+)
Definition: The percentage of respondents who report that they use a mobile phone daily, men (% age 15+)
Source: Global Findex Database
The "Digitally enabled account (% age 15+)" indicator page provides information on the following indicators:
Digitally enabled account (% age 15+)
Definition: The percentage of adults who report having a mobile money account or an account at a bank or similar financial institution that allows the account owner to make or receive payments using a card or phone, (% age 15+)
Source: Global Findex Database
Digitally enabled account, women (% age 15+)
Definition: The percentage of adults who report having a mobile money account or an account at a bank or similar financial institution that allows the account owner to make or receive payments using a card or phone, women (% age 15+)
Source: Global Findex Database
Digitally enabled account, men (% age 15+)
Definition: The percentage of adults who report having a mobile money account or an account at a bank or similar financial institution that allows the account owner to make or receive payments using a card or phone, men (% age 15+)
Source: Global Findex Database
The "Does not own a smartphone due to cost (% of total population, age 15+)" indicator page provides information on the following indicators:
Does not own a smartphone due to cost (% age 15+)
Definition: The percentage of respondents who don't own a smartphone, because they don't have enough money to buy one, (% age 15+)
Source: Global Findex Database
Does not own a smartphone due to cost, women (% age 15+)
Definition: The percentage of respondents who don't own a smartphone, because they don't have enough money to buy one, women (% age 15+)
Source: Global Findex Database
Does not own a smartphone due to cost, men (% age 15+)
Definition: The percentage of respondents who don't own a smartphone, because they don't have enough money to buy one, men (% age 15+)
Source: Global Findex Database
The "Female share of graduates in Information and Communication Technologies programmes, tertiary (%)" indicator page provides information on the following indicators:
Female share of graduates in Information and Communication Technologies programmes, tertiary (%)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Individuals using the Internet (% of population)" indicator page provides information on the following indicators:
Individuals using the Internet (% of population)
Definition: Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
Source: World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU), uri: https://datahub.itu.int/
Individuals using the Internet, female (% of female population)
Definition: This indicator refers to female individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
Source: World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU)
Individuals using the Internet, male (% of male population)
Definition: This indicator refers to male individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
Source: World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU)
The "Made a digital online merchant payment for an online purchase (% of total population, age 15+)" indicator page provides information on the following indicators:
Made a digital online merchant payment for an online purchase (% age 15+)
Definition: The percentage of respondents who report using the internet to buy something online in the past year and paid online, (% age 15+)
Source: Global Findex Database
Made a digital online merchant payment for an online purchase, women (% age 15+)
Definition: The percentage of respondents who report using the internet to buy something online in the past year and paid online, women (% age 15+)
Source: Global Findex Database
Made a digital online merchant payment for an online purchase, men (% age 15+)
Definition: The percentage of respondents who report using the internet to buy something online in the past year and paid online, men (% age 15+)
Source: Global Findex Database
The "Made or received a digital payment (% age 15+)" indicator page provides information on the following indicators:
Made or received a digital payment (% age 15+)
Definition: The percentage of respondents who report using mobile money, a debit or credit card, or a mobile phone to make a payment from an account--or report using the internet to pay bills or to buy something online or in a store--in the past year. This includes respondents who report paying bills, sending or receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly from or into a bank or similar financial institution account or through a mobile money account in the past year, (% age 15+)
Source: Global Findex Database
Made or received a digital payment, women (% age 15+)
Definition: The percentage of respondents who report using mobile money, a debit or credit card, or a mobile phone to make a payment from an account--or report using the internet to pay bills or to buy something online or in a store--in the past year. This includes respondents who report paying bills, sending or receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly from or into a bank or similar financial institution account or through a mobile money account in the past year, women (% age 15+)
Source: Global Findex Database
Made or received a digital payment, men (% age 15+)
Definition: The percentage of respondents who report using mobile money, a debit or credit card, or a mobile phone to make a payment from an account--or report using the internet to pay bills or to buy something online or in a store--in the past year. This includes respondents who report paying bills, sending or receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly from or into a bank or similar financial institution account or through a mobile money account in the past year, men (% age 15+)
Source: Global Findex Database
Made a digital payment (% age 15+)
Definition: The percentage of respondents who report using mobile money, a debit or credit card, or a mobile phone to make a payment from an account; or who report using the internet to pay bills or to buy something online or in a store in the past year. This includes respondents who report paying bills or sending remittances directly from a bank or similar financial institution account or through a mobile money account in the past year, (% age 15+)
Source: Global Findex Database
Made a digital payment, women (% age 15+)
Definition: The percentage of respondents who report using mobile money, a debit or credit card, or a mobile phone to make a payment from an account; or who report using the internet to pay bills or to buy something online or in a store in the past year. This includes respondents who report paying bills or sending remittances directly from a bank or similar financial institution account or through a mobile money account in the past year, women (% age 15+)
Source: Global Findex Database
Made a digital payment, men (% age 15+)
Definition: The percentage of respondents who report using mobile money, a debit or credit card, or a mobile phone to make a payment from an account; or who report using the internet to pay bills or to buy something online or in a store in the past year. This includes respondents who report paying bills or sending remittances directly from a bank or similar financial institution account or through a mobile money account in the past year, men (% age 15+)
Source: Global Findex Database
Received digital payments (% age 15+)
Definition: The percentage of respondents who report using a mobile money account, a debit or credit card, or a mobile phone to receive a payment into an account in the past year. This includes respondents who report receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly into a bank or similar financial institution account or into a mobile money account in the past year, (% age 15+)
Source: Global Findex Database
Received digital payments, women (% age 15+)
Definition: The percentage of respondents who report using a mobile money account, a debit or credit card, or a mobile phone to receive a payment into an account in the past year. This includes respondents who report receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly into a bank or similar financial institution account or into a mobile money account in the past year, women (% age 15+)
Source: Global Findex Database
Received digital payments, men (% age 15+)
Definition: The percentage of respondents who report using a mobile money account, a debit or credit card, or a mobile phone to receive a payment into an account in the past year. This includes respondents who report receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly into a bank or similar financial institution account or into a mobile money account in the past year, men (% age 15+)
Source: Global Findex Database
The "Mobile money account (% age 15+)" indicator page provides information on the following indicators:
Mobile money account, women (% age 15+)
Definition: The percentage of respondents who report personally using a mobile money service in the past year, women (% age 15+)
Source: Global Findex Database
Mobile money account, men (% age 15+)
Definition: The percentage of respondents who report personally using a mobile money service in the past year, men (% age 15+)
Source: Global Findex Database
Mobile money account (% age 15+)
Definition: The percentage of respondents who report personally using a mobile money service in the past year, (% age 15+)
Source: Global Findex Database
The "Online activities in past three months (% of total population, age 15+)" indicator page provides information on the following indicators:
Sent a voice message in past three months (% age 15+)
Definition: The percentage of respondents who report that they sent a voice message from a mobile phone in the past three months, (% age 15+)
Source: Global Findex Database
Sent a voice message in past three months, women (% age 15+)
Definition: The percentage of respondents who report that they sent a voice message from a mobile phone in the past three months, women (% age 15+)
Source: Global Findex Database
Sent a voice message in past three months, men (% age 15+)
Definition: The percentage of respondents who report that they sent a voice message from a mobile phone in the past three months, men (% age 15+)
Source: Global Findex Database
Sent a photo in past three months (% age 15+)
Definition: The percentage of respondents who report that they sent a photo from a mobile phone in the past three months, (% age 15+)
Source: Global Findex Database
Sent a photo in past three months, women (% age 15+)
Definition: The percentage of respondents who report that they sent a photo from a mobile phone in the past three months, women (% age 15+)
Source: Global Findex Database
Sent a photo in past three months, men (% age 15+)
Definition: The percentage of respondents who report that they sent a photo from a mobile phone in the past three months, men (% age 15+)
Source: Global Findex Database
Used social media in past three months (% age 15+)
Definition: The percentage of respondents who report that they used social media, such as Facebook or TikTok, on a mobile phone in the past three months, (% age 15+)
Source: Global Findex Database
Used social media in past three months, women (% age 15+)
Definition: The percentage of respondents who report that they used social media, such as Facebook or TikTok, on a mobile phone in the past three months, women (% age 15+)
Source: Global Findex Database
Used social media in past three months, men (% age 15+)
Definition: The percentage of respondents who report that they used social media, such as Facebook or TikTok, on a mobile phone in the past three months, men (% age 15+)
Source: Global Findex Database
Read news online in past three months (% age 15+)
Definition: The percentage of respondents who report that they read about news online in the past three months, (% age 15+)
Source: Global Findex Database
Read news online in past three months, women (% age 15+)
Definition: The percentage of respondents who report that they read about news online in the past three months, women (% age 15+)
Source: Global Findex Database
Read news online in past three months, men (% age 15+)
Definition: The percentage of respondents who report that they read about news online in the past three months, men (% age 15+)
Source: Global Findex Database
Accessed online info to learn/train/educate in past three months (% age 15+)
Definition: The percentage of respondents who report that they accessed information online to learn, train, or educate themselves or someone else in the past three months, (% age 15+)
Source: Global Findex Database
Accessed online info to learn/train/educate in past three months, women (% age 15+)
Definition: The percentage of respondents who report that they accessed information online to learn, train, or educate themselves or someone else in the past three months, women (% age 15+)
Source: Global Findex Database
Accessed online info to learn/train/educate in past three months, men (% age 15+)
Definition: The percentage of respondents who report that they accessed information online to learn, train, or educate themselves or someone else in the past three months, men (% age 15+)
Source: Global Findex Database
Accessed government services/info online in past three months (% age 15+)
Definition: The percentage of respondents who report that they accessed government services or searched for government information online in the past three months, (% age 15+)
Source: Global Findex Database
Accessed government services/info online in past three months, women (% age 15+)
Definition: The percentage of respondents who report that they accessed government services or searched for government information online in the past three months, women (% age 15+)
Source: Global Findex Database
Accessed government services/info online in past three months, men (% age 15+)
Definition: The percentage of respondents who report that they accessed government services or searched for government information online in the past three months, men (% age 15+)
Source: Global Findex Database
The "Own a mobile phone (% age 15+)" indicator page provides information on the following indicators:
Own a mobile phone (% age 15+)
Definition: The percentage of respondents who report owning a mobile phone that they use to make and receive personal calls, (% age 15+)
Source: Global Findex Database
Own a mobile phone, women (% age 15+)
Definition: The percentage of respondents who report owning a mobile phone that they use to make and receive personal calls, women (% age 15+)
Source: Global Findex Database
Own a mobile phone, men (% age 15+)
Definition: The percentage of respondents who report owning a mobile phone that they use to make and receive personal calls, men (% age 15+)
Source: Global Findex Database
The "Phone has a lock (PIN, password, fingerprint) (% age 15+)" indicator page provides information on the following indicators:
Phone has a lock (PIN, password, fingerprint) (% age 15+)
Definition: The percentage of respondents who report a lock on the mobile phone that they use, such as a PIN, password, or fingerprint, (% age 15+)
Source: Global Findex Database
Phone has a lock (PIN, password, fingerprint), women (% age 15+)
Definition: The percentage of respondents who report a lock on the mobile phone that they use, such as a PIN, password, or fingerprint, women (% age 15+)
Source: Global Findex Database
Phone has a lock (PIN, password, fingerprint), men (% age 15+)
Definition: The percentage of respondents who report a lock on the mobile phone that they use, such as a PIN, password, or fingerprint, men (% age 15+)
Source: Global Findex Database
The "Preferred mode of receiving government news (% of total population, age 15+)" indicator page provides information on the following indicators:
Prefers receiving government news by SMS or text (% age 15+)
Definition: The percentage of respondents who report that they would prefer receiving important government news by SMS or text, (% age 15+)
Source: Global Findex Database
Prefers receiving government news by SMS or text, women (% age 15+)
Definition: The percentage of respondents who report that they would prefer receiving important government news by SMS or text, women (% age 15+)
Source: Global Findex Database
Prefers receiving government news by SMS or text, men (% age 15+)
Definition: The percentage of respondents who report that they would prefer receiving important government news by SMS or text, men (% age 15+)
Source: Global Findex Database
Prefers receiving government news by phone call (% age 15+)
Definition: The percentage of respondents who report that they would prefer receiving important government news by phone call, (% age 15+)
Source: Global Findex Database
Prefers receiving government news by phone call, women (% age 15+)
Definition: The percentage of respondents who report that they would prefer receiving important government news by phone call, women (% age 15+)
Source: Global Findex Database
Prefers receiving government news by phone call, men (% age 15+)
Definition: The percentage of respondents who report that they would prefer receiving important government news by phone call, men (% age 15+)
Source: Global Findex Database
The "Read a text message on a mobile phone (% age 15+)" indicator page provides information on the following indicators:
Read a text message on a mobile phone (% age 15+)
Definition: The percentage of respondents who report that they read a text message on a mobile phone. This can include an SMS or text message or a message on a messaging app, such as WhatsApp, (% age 15+)
Source: Global Findex Database
Read a text message on a mobile phone, women (% age 15+)
Definition: The percentage of respondents who report that they read a text message on a mobile phone. This can include an SMS or text message or a message on a messaging app, such as WhatsApp, women (% age 15+)
Source: Global Findex Database
Read a text message on a mobile phone, men (% age 15+)
Definition: The percentage of respondents who report that they read a text message on a mobile phone. This can include an SMS or text message or a message on a messaging app, such as WhatsApp, men (% age 15+)
Source: Global Findex Database
The "SIM number registered in own name (% age 15+)" indicator page provides information on the following indicators:
SIM number registered in own name (% age 15+)
Definition: The percentage of respondents who report that the SIM number in their mobile phone is registered in their name, (% age 15+)
Source: Global Findex Database
SIM number registered in own name, women (% age 15+)
Definition: The percentage of respondents who report that the SIM number in their mobile phone is registered in their name, women (% age 15+)
Source: Global Findex Database
SIM number registered in own name, men (% age 15+)
Definition: The percentage of respondents who report that the SIM number in their mobile phone is registered in their name, men (% age 15+)
Source: Global Findex Database
The "Saved at a bank or similar financial institution or using a mobile money account (% age 15+)" indicator page provides information on the following indicators:
Saved at a bank or similar financial institution or using a mobile money account, women (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money at a bank or similar financial institution or using a mobile money account to save in the past year, women (% age 15+)
Source: Global Findex Database
Saved at a bank or similar financial institution or using a mobile money account, men (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money at a bank or similar financial institution or using a mobile money account to save in the past year, men (% age 15+)
Source: Global Findex Database
Saved at a bank or similar financial institution or using a mobile money account (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money at a bank or similar financial institution or using a mobile money account to save in the past year, (% age 15+)
Source: Global Findex Database
The "Share of graduates by field, female (%)" indicator page provides information on the following indicators:
Female share of graduates in agriculture (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in humanities and arts (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in education (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in engineering, manufacturing and construction (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in health and welfare (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in science (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Definition:
Source:
Female share of graduates in services (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in social science, business and law (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in unknown or unspecified fields (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
The "Type of main mobile phone by technology (% of total population, age 15+)" indicator page provides information on the following indicators:
Main mobile phone is a smartphone (% age 15+)
Definition: The percentage of respondents who report that the main mobile phone they use is a smartphone, (% age 15+)
Source: Global Findex Database
Main mobile phone is a smartphone, women (% age 15+)
Definition: The percentage of respondents who report that the main mobile phone they use is a smartphone, women (% age 15+)
Source: Global Findex Database
Main mobile phone is a smartphone, men (% age 15+)
Definition: The percentage of respondents who report that the main mobile phone they use is a smartphone, men (% age 15+)
Source: Global Findex Database
Main mobile phone is a basic text phone (% age 15+)
Definition: The percentage of respondents who report that the main mobile phone they use is a basic text phone, (% age 15+)
Source: Global Findex Database
Main mobile phone is a basic text phone, women (% age 15+)
Definition: The percentage of respondents who report that the main mobile phone they use is a basic text phone, women (% age 15+)
Source: Global Findex Database
Main mobile phone is a basic text phone, men (% age 15+)
Definition: The percentage of respondents who report that the main mobile phone they use is a basic text phone, men (% age 15+)
Source: Global Findex Database
The "Used a mobile phone or the internet to buy something online (% age 15+)" indicator page provides information on the following indicators:
Used a mobile phone or the internet to buy something online (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to buy something online in the past year, (% age 15+)
Source: Global Findex Database
Used a mobile phone or the internet to buy something online, women (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to buy something online in the past year, women (% age 15+)
Source: Global Findex Database
Used a mobile phone or the internet to buy something online, men (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to buy something online in the past year, men (% age 15+)
Source: Global Findex Database
The "Used a mobile phone or the internet to check account balance (% age 15+)" indicator page provides information on the following indicators:
Used a mobile phone or the internet to check account balance (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to check their balance for a bank or similar financial institution account in the past year, (% age 15+)
Source: Global Findex Database
Used a mobile phone or the internet to check account balance, women (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to check their balance for a bank or similar financial institution account in the past year, women (% age 15+)
Source: Global Findex Database
Used a mobile phone or the internet to check account balance, men (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to check their balance for a bank or similar financial institution account in the past year, men (% age 15+)
Source: Global Findex Database
The "Used a mobile phone or the internet to pay bills (% age 15+)" indicator page provides information on the following indicators:
Used a mobile phone or the internet to pay bills (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to pay bills in the past year, (% age 15+)
Source: Global Findex Database
Used a mobile phone or the internet to pay bills, women (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to pay bills in the past year, women (% age 15+)
Source: Global Findex Database
Used a mobile phone or the internet to pay bills, men (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to pay bills in the past year, men (% age 15+)
Source: Global Findex Database
The "Used the internet in the past three months (% age 15+)" indicator page provides information on the following indicators:
Used the internet in the past three months (% age 15+)
Definition: The percentage of respondents who report that they used the internet in the past three months, (% age 15+)
Source: Global Findex Database
Used the internet in the past three months, women (% age 15+)
Definition: The percentage of respondents who report that they used the internet in the past three months, women (% age 15+)
Source: Global Findex Database
Used the internet in the past three months, men (% age 15+)
Definition: The percentage of respondents who report that they used the internet in the past three months, men (% age 15+)
Source: Global Findex Database
The "Adjusted net enrollment rate, primary (% of primary school age children)" indicator page provides information on the following indicators:
Adjusted net enrollment rate, primary, female (% of primary school age children)
Definition: Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
Adjusted net enrollment rate, primary, male (% of primary school age children)
Definition: Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
Adjusted net enrollment rate, primary (% of primary school age children)
Definition: Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Children out of school, primary" indicator page provides information on the following indicators:
Children out of school, primary, female
Definition: Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Children out of school, primary, male
Definition: Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Children out of school, primary
Definition: Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "Educational attainment by level of education, cumulative (% population 25+)" indicator page provides information on the following indicators:
Educational attainment, at least completed primary, population 25+ years, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed primary, population 25+ years, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed lower secondary, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed lower secondary, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed upper secondary, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed upper secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed upper secondary, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed upper secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed upper secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed post-secondary non-tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Master's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Master's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Master's or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative)
Definition: The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "Expected years of schooling" indicator page provides information on the following indicators:
Expected years of schooling, female
Definition: Expected years of schooling is the number of years a child of school entrance age is expected to spend at school, or university, including years spent on repetition. It is the sum of the age-specific enrolment ratios for primary, secondary, post-secondary non-tertiary and tertiary education.
Source: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.
Expected years of schooling, male
Definition: Expected years of schooling is the number of years a child of school entrance age is expected to spend at school, or university, including years spent on repetition. It is the sum of the age-specific enrolment ratios for primary, secondary, post-secondary non-tertiary and tertiary education.
Source: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.
Expected years of schooling
Definition: Expected years of schooling is the number of years a child of school entrance age is expected to spend at school, or university, including years spent on repetition. It is the sum of the age-specific enrolment ratios for primary, secondary, post-secondary non-tertiary and tertiary education.
Source: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.
The "Female share of graduates in Business, Administration and Law programmes, tertiary (%)" indicator page provides information on the following indicators:
Female share of graduates in Business, Administration and Law programmes, tertiary (%)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Female share of graduates in Information and Communication Technologies programmes, tertiary (%)" indicator page provides information on the following indicators:
Female share of graduates in Information and Communication Technologies programmes, tertiary (%)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Female share of graduates in other fields than Science, Technology, Engineering and Mathematics programmes, tertiary (%)" indicator page provides information on the following indicators:
Female share of graduates in other fields than Science, Technology, Engineering and Mathematics programmes, tertiary (%)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Gross graduation ratio, tertiary, total (%)" indicator page provides information on the following indicators:
Gross graduation ratio, tertiary, female (%)
Definition: Number of graduates from first degree programmes (at ISCED 6 and 7) expressed as a percentage of the population of the theoretical graduation age of the most common first degree programme.
Source: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.
Gross graduation ratio, tertiary, male (%)
Definition: Number of graduates from first degree programmes (at ISCED 6 and 7) expressed as a percentage of the population of the theoretical graduation age of the most common first degree programme.
Source: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.
Gross graduation ratio, tertiary, total (%)
Definition: Number of graduates from first degree programmes (at ISCED 6 and 7) expressed as a percentage of the population of the theoretical graduation age of the most common first degree programme.
Source: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.
The "Gross intake ratio in first grade of primary education, total (% of relevant age group)" indicator page provides information on the following indicators:
Gross intake ratio in first grade of primary education, total (% of relevant age group)
Definition: Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Human capital index plus (HCI+): education pillar score (scale 0-188)" indicator page provides information on the following indicators:
Human capital index plus (HCI+): education pillar score, female (scale 0–188)
Definition: The human capital index plus (HCI+): education pillar score aggregates human capital accumulated during formal schooling. This includes pre-school, primary, secondary, and tertiary schooling. The measure also captures learning quality through harmonized learning outcomes.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://humancapital.worldbank.org/en/home
Human capital index plus (HCI+): education pillar score, male (scale 0–188)
Definition: The human capital index plus (HCI+): education pillar score aggregates human capital accumulated during formal schooling. This includes pre-school, primary, secondary, and tertiary schooling. The measure also captures learning quality through harmonized learning outcomes.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://humancapital.worldbank.org/en/home
Human capital index plus (HCI+): education pillar score, total (scale 0–188)
Definition: The human capital index plus (HCI+): education pillar score aggregates human capital accumulated during formal schooling. This includes pre-school, primary, secondary, and tertiary schooling. The measure also captures learning quality through harmonized learning outcomes.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://humancapital.worldbank.org/en/home
The "Learning poverty: Share of Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)" indicator page provides information on the following indicators:
Learning poverty: Share of Female Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)
Definition: The share of female 10-year-olds who cannot read and understand a short passage of age-appropriate material—in other words, those who are below the “minimum proficiency” threshold for reading. This measure is defined as the union of two deprivations: 1) schooling deprivation and 2) learning deprivation. A child is considered schooling-deprived (SD) if he or she is of primary school age and out-of-school. The dimension of learning deprivation (LD) applies only for children in school, and identifies those pupils who are below the minimum proficiency level (MPL) for reading, as defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. This “union approach” to measurement reflects the choice that, as presented in the SDGs, all age 10 children must be both in school and learning. The final learning poverty measure combines the two dimensions in a single indicator using the following formula: LP = SD + [(1-SD) x LD]
Source: World Bank (WB);
UN Educational, Scientific and Cultural Organization (UNESCO), publisher: UNESCO Institute for Statistics (UIS)
Learning poverty: Share of Male Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)
Definition: The share of male 10-year-olds who cannot read and understand a short passage of age-appropriate material—in other words, those who are below the “minimum proficiency” threshold for reading. This measure is defined as the union of two deprivations: 1) schooling deprivation and 2) learning deprivation. A child is considered schooling-deprived (SD) if he or she is of primary school age and out-of-school. The dimension of learning deprivation (LD) applies only for children in school, and identifies those pupils who are below the minimum proficiency level (MPL) for reading, as defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. This “union approach” to measurement reflects the choice that, as presented in the SDGs, all age 10 children must be both in school and learning. The final learning poverty measure combines the two dimensions in a single indicator using the following formula: LP = SD + [(1-SD) x LD]
Source: World Bank (WB);
UN Educational, Scientific and Cultural Organization (UNESCO), publisher: UNESCO Institute for Statistics (UIS)
Learning poverty: Share of Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)
Definition: The share of 10-year-olds who cannot read and understand a short passage of age-appropriate material—in other words, those who are below the “minimum proficiency” threshold for reading. This measure is defined as the union of two deprivations: 1) schooling deprivation and 2) learning deprivation. A child is considered schooling-deprived (SD) if he or she is of primary school age and out-of-school. The dimension of learning deprivation (LD) applies only for children in school, and identifies those pupils who are below the minimum proficiency level (MPL) for reading, as defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. This “union approach” to measurement reflects the choice that, as presented in the SDGs, all age 10 children must be both in school and learning. The final learning poverty measure combines the two dimensions in a single indicator using the following formula: LP = SD + [(1-SD) x LD]
Source: World Bank (WB);
UN Educational, Scientific and Cultural Organization (UNESCO), publisher: UNESCO Institute for Statistics (UIS)
The "Literacy rate (%)" indicator page provides information on the following indicators:
Literacy rate, adult female (% of females ages 15 and above)
Definition: Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
Literacy rate, adult male (% of males ages 15 and above)
Definition: Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
Literacy rate, adult total (% of people ages 15 and above)
Definition: Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
Literacy rate, youth female (% of females ages 15-24)
Definition: Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
Literacy rate, youth male (% of males ages 15-24)
Definition: Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
Literacy rate, youth total (% of people ages 15-24)
Definition: Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
The "Literacy rate, youth (ages 15-24), gender parity index (GPI)" indicator page provides information on the following indicators:
Literacy rate, youth (ages 15-24), gender parity index (GPI)
Definition: Gender parity index for youth literacy rate is the ratio of females to males ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Excel (bulk file), date accessed: 2026-03-19, date published: 2026-02
The "Lower secondary completion rate, total (% of relevant age group)" indicator page provides information on the following indicators:
Lower secondary completion rate, female (% of relevant age group)
Definition: Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
Lower secondary completion rate, male (% of relevant age group)
Definition: Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
Lower secondary completion rate, total (% of relevant age group)
Definition: Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
The "Net intake rate in grade 1 (% of official school-age population)" indicator page provides information on the following indicators:
Net intake rate in grade 1, female (% of official school-age population)
Definition: Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
Net intake rate in grade 1, male (% of official school-age population)
Definition: Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
Net intake rate in grade 1 (% of official school-age population)
Definition: Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Percentage of male students in secondary education enrolled in vocational programmes, male (%)" indicator page provides information on the following indicators:
Percentage of male students in secondary education enrolled in vocational programmes, male (%)
Definition: Total number of male students enrolled in vocational programmes at the secondary education level, expressed as a percentage of the total number of male students enrolled in all programmes (vocational and general) at the secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Percentage of students in lower secondary vocational education who are female (%)" indicator page provides information on the following indicators:
Percentage of students in lower secondary vocational education who are female (%)
Definition: Number of female vocational education students at the lower secondary level expressed as a percentage of the total number of vocational education students (male and female) at the lower secondary level in a given school year.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Percentage of students in post-secondary non-tertiary vocational education who are female (%)" indicator page provides information on the following indicators:
Percentage of students in post-secondary non-tertiary vocational education who are female (%)
Definition: Number of female vocational education students at the post-secondary non-tertiary level expressed as a percentage of the total number of vocational education students (male and female) at the post-secondary non-tertiary level in a given school year.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Percentage of students in upper secondary vocational education who are female (%)" indicator page provides information on the following indicators:
Percentage of students in upper secondary vocational education who are female (%)
Definition: Number of female vocational education students at the upper secondary level expressed as a percentage of the total number of vocational education students (male and female) at the upper secondary level in a given school year.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
The "Persistence to grade 5 (% of cohort)" indicator page provides information on the following indicators:
Persistence to grade 5, female (% of cohort)
Definition: Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
Persistence to grade 5, male (% of cohort)
Definition: Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
The "Primary completion rate, total (% of relevant age group)" indicator page provides information on the following indicators:
Primary completion rate, female (% of relevant age group)
Definition: Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
Primary completion rate, male (% of relevant age group)
Definition: Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
Primary completion rate, total (% of relevant age group)
Definition: Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "Primary completion rate, total, based on completers" indicator page provides information on the following indicators:
Primary completion rate, female, based on completers
Definition: Primary completion rate is the percentage of students completing the last year of primary school. The rate based on completers is calculated by taking the total number of completers in the last grade of primary school divided by the total number of children of official graduation age.
Source:
Primary completion rate, male, based on completers
Definition: Primary completion rate is the percentage of students completing the last year of primary school. The rate based on completers is calculated by taking the total number of completers in the last grade of primary school divided by the total number of children of official graduation age.
Source:
Primary completion rate, total, based on completers
Definition: Primary completion rate is the percentage of students completing the last year of primary school. The rate based on completers is calculated by taking the total number of completers in the last grade of primary school divided by the total number of children of official graduation age.
Source:
The "Primary education, pupils (% female)" indicator page provides information on the following indicators:
Primary education, pupils (% female)
Definition: Female pupils as a percentage of total pupils at primary level include enrollments in public and private schools.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Primary education, teachers (% female)" indicator page provides information on the following indicators:
Primary education, teachers (% female)
Definition: Female teachers as a percentage of total primary education teachers includes full-time and part-time teachers.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
The "Primary school age children out-of-school (%)" indicator page provides information on the following indicators:
Female primary school age children out-of-school (%)
Definition: The Out-of-School adjustment in our Learning Poverty indicator relies on enrollment data. Our preferred definition is the adjusted net primary enrollment as reported by UIS.
Source: Word Bank and UNESCO Institute for Statistics
Male primary school age children out-of-school (%)
Definition: The Out-of-School adjustment in our Learning Poverty indicator relies on enrollment data. Our preferred definition is the adjusted net primary enrollment as reported by UIS.
Source: Word Bank and UNESCO Institute for Statistics
The "Progression to secondary school (%)" indicator page provides information on the following indicators:
Progression to secondary school, female (%)
Definition: Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
Progression to secondary school, male (%)
Definition: Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
Progression to secondary school (%)
Definition: Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Pupils below minimum reading proficiency at end of primary (%). Low GAML threshold" indicator page provides information on the following indicators:
Female pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
Definition: This indicator uses on Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments.
Source: Word Bank and UNESCO Institute for Statistics
Male pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
Definition: This indicator uses on Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments.
Source: Word Bank and UNESCO Institute for Statistics
Pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
Definition: This indicator uses on Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments.
Source: Word Bank and UIS
The "Rate of out-of-school youth of upper secondary school age (%)" indicator page provides information on the following indicators:
Rate of out-of-school youth of upper secondary school age, female (%)
Definition: Number of females of official upper secondary school age who are not enrolled in upper secondary school expressed as a percentage of the female population of official upper secondary school age.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/)
Rate of out-of-school youth of upper secondary school age, male (%)
Definition: Number of males of official upper secondary school age who are not enrolled in upper secondary school expressed as a percentage of the male population of official upper secondary school age.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/)
The "School enrollment, gender parity index" indicator page provides information on the following indicators:
School enrollment, primary and secondary (gross), gender parity index (GPI)
Definition: Gender parity index for gross enrollment ratio in primary and secondary education is the ratio of girls to boys enrolled at primary and secondary levels in public and private schools.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, primary (gross), gender parity index (GPI)
Definition: Gender parity index for gross enrollment ratio in primary education is the ratio of girls to boys enrolled at primary level in public and private schools.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, secondary (gross), gender parity index (GPI)
Definition: Gender parity index for gross enrollment ratio in secondary education is the ratio of girls to boys enrolled at secondary level in public and private schools.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, tertiary (gross), gender parity index (GPI)
Definition: Gender parity index for gross enrollment ratio in tertiary education is the ratio of women to men enrolled at tertiary level in public and private schools.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
The "School enrollment, preprimary (% gross)" indicator page provides information on the following indicators:
School enrollment, preprimary, female (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, preprimary, male (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, preprimary (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "School enrollment, primary (% gross)" indicator page provides information on the following indicators:
School enrollment, primary, female (% net)
Definition: Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Source: UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO), uri: http://uis.unesco.org/, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, primary, male (% net)
Definition: Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, primary (% net)
Definition: Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, primary, female (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
School enrollment, primary, male (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
School enrollment, primary (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "School enrollment, secondary (% gross)" indicator page provides information on the following indicators:
School enrollment, secondary, female (% net)
Definition: Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, secondary, male (% net)
Definition: Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, secondary (% net)
Definition: Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
School enrollment, secondary, female (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
School enrollment, secondary, male (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
School enrollment, secondary (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "School enrollment, tertiary (% gross)" indicator page provides information on the following indicators:
School enrollment, tertiary, female (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
School enrollment, tertiary, male (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
School enrollment, tertiary (% gross)
Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), date accessed: 2026-03-19, date published: 2026-02
The "Secondary education, pupils (% female)" indicator page provides information on the following indicators:
Secondary education, pupils (% female)
Definition: Female pupils as a percentage of total pupils at secondary level includes enrollments in public and private schools.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Secondary education, teachers (% female)" indicator page provides information on the following indicators:
Secondary education, teachers (% female)
Definition: Female teachers as a percentage of total secondary education teachers includes full-time and part-time teachers.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
The "Secondary education, vocational pupils" indicator page provides information on the following indicators:
Secondary education, vocational pupils
Definition: Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Secondary education, vocational pupils (% female)" indicator page provides information on the following indicators:
Secondary education, vocational pupils (% female)
Definition: Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training.
Source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
The "Share of all students in lower secondary education enrolled in vocational programmes (%)" indicator page provides information on the following indicators:
Percentage of female students in lower secondary education enrolled in vocational programmes, female (%)
Definition: Total number of female students enrolled in vocational programmes at the lower secondary education level, expressed as a percentage of the total number of female students enrolled in all programmes (vocational and general) at the lower secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Percentage of male students in lower secondary education enrolled in vocational programmes, male (%)
Definition: Total number of male students enrolled in vocational programmes at the lower secondary education level, expressed as a percentage of the total number of male students enrolled in all programmes (vocational and general) at the lower secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Share of all students in lower secondary education enrolled in vocational programmes (%)
Definition: Total number of students enrolled in vocational programmes at the lower secondary education level, expressed as a percentage of the total number of students enrolled in all programmes (vocational and general) at the lower secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics
The "Share of all students in post-secondary non-tertiary education enrolled in vocational programmes (%)" indicator page provides information on the following indicators:
Percentage of female students in post-secondary non-tertiary education enrolled in vocational programmes, female (%)
Definition: Total number of female students enrolled in vocational programmes at the post-secondary non-tertiary education level, expressed as a percentage of the total number of female students enrolled in all programmes (vocational and general) at the post-secondary non-tertiary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Percentage of male students in post-secondary non-tertiary education enrolled in vocational programmes, male (%)
Definition: Total number of male students enrolled in vocational programmes at the post-secondary non-tertiary education level, expressed as a percentage of the total number of male students enrolled in all programmes (vocational and general) at the post-secondary non-tertiary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Share of all students in post-secondary non-tertiary education enrolled in vocational programmes (%)
Definition: Total number of students enrolled in vocational programmes at the post-secondary non-tertiary education level, expressed as a percentage of the total number of students enrolled in all programmes (vocational and general) at the post-secondary non-tertiary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics
The "Share of all students in upper secondary education enrolled in vocational programmes (%)" indicator page provides information on the following indicators:
Percentage of female students in upper secondary education enrolled in vocational programmes, female (%)
Definition: Total number of female students enrolled in vocational programmes at the upper secondary education level, expressed as a percentage of the total number of female students enrolled in all programmes (vocational and general) at the upper secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Percentage of male students in upper secondary education enrolled in vocational programmes, male (%)
Definition: Total number of male students enrolled in vocational programmes at the upper secondary education level, expressed as a percentage of the total number of male students enrolled in all programmes (vocational and general) at the upper secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Share of all students in upper secondary education enrolled in vocational programmes (%)
Definition: Total number of students enrolled in vocational programmes at the upper secondary education level, expressed as a percentage of the total number of students enrolled in all programmes (vocational and general) at the upper secondary level. Vocational education is designed for learners to acquire the knowledge, skills and competencies specific to a particular occupation or trade or class of occupations or trades. Vocational education may have work-based components (e.g. apprenticeships). Successful completion of such programmes leads to labour-market relevant vocational qualifications acknowledged as occupationally-oriented by the relevant national authorities and/or the labour market.
Source: UNESCO Institute for Statistics
The "Share of graduates by field, female (%)" indicator page provides information on the following indicators:
Female share of graduates in agriculture (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in humanities and arts (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in education (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in engineering, manufacturing and construction (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in health and welfare (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in science (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Definition:
Source:
Female share of graduates in services (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in social science, business and law (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in unknown or unspecified fields (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
The "Share of youth not in education, employment or training, total (% of youth population)" indicator page provides information on the following indicators:
Share of youth not in education, employment or training, female (% of female youth population)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Share of youth not in education, employment or training, male (% of male youth population)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Share of youth not in education, employment or training, total (% of youth population)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Share of youth not in education, employment or training, female (% of female youth population) (modeled ILO estimate)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Share of youth not in education, employment or training, male (% of male youth population) (modeled ILO estimate)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Share of youth not in education, employment or training, total (% of youth population) (modeled ILO estimate)
Definition: The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
The "Tertiary education, academic staff (% female)" indicator page provides information on the following indicators:
Tertiary education, academic staff (% female)
Definition: Tertiary education, academic staff (% female) is the share of female academic staff in tertiary education.
Source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
The "Vocational and Technical enrolment (% of total secondary enrolment), total" indicator page provides information on the following indicators:
Definition:
Source:
Vocational and Technical enrolment (% of total secondary enrolment), total
Definition:
Source: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.
The "Youth illiterate population, 15-24 years, % female" indicator page provides information on the following indicators:
Youth illiterate population, 15-24 years, % female
Definition: Share of the youth illiterate population that is female.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/)
The "Youth illiterate population, 15-24 years, both sexes (number)" indicator page provides information on the following indicators:
Youth illiterate population, 15-24 years, female (number)
Definition: Total number of females between age 15 and age 24 who cannot both read and write with understanding a short simple statement on their everyday life.
Source: UNESCO Institute for Statistics (http://uis.unesco.org/)
Youth illiterate population, 15-24 years, male (number)
Definition: Total number of males between age 15 and age 24 who cannot both read and write with understanding a short simple statement on their everyday life.
Source: UNESCO Institute for Statistics
Youth illiterate population, 15-24 years, both sexes (number)
Definition: Total number of youth between age 15 and age 24 who cannot both read and write with understanding a short simple statement on their everyday life.
Source: UNESCO Institute for Statistics
The "Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)" indicator page provides information on the following indicators:
Account, women (% age 15+)
Definition: The percentage of respondents who report having an account (by themselves or together with someone else) at a bank or similar financial institution (see the definition for "bank or similar financial institution account") or report personally using a mobile money service in the past year (see the definition for "mobile money account"), women (% age 15+)
Source: Global Findex Database
Account, men (% age 15+)
Definition: The percentage of respondents who report having an account (by themselves or together with someone else) at a bank or similar financial institution (see the definition for "bank or similar financial institution account") or report personally using a mobile money service in the past year (see the definition for "mobile money account"), men (% age 15+)
Source: Global Findex Database
Account (% age 15+)
Definition: The percentage of respondents who report having an account (by themselves or together with someone else) at a bank or similar financial institution (see the definition for "bank or similar financial institution account") or report personally using a mobile money service in the past year (see the definition for "mobile money account"), (% age 15+)
Source: Global Findex Database
The "Assets Topic (Women, Business and the Law)" indicator page provides information on the following indicators:
WBL: Legal Framework, Assets, Score (scale 0-100)
Definition: The Assets topic legal frameworks score measures gender differences in property and inheritance law, assessing women’s equal access to immovable assets including land, administrative authority over property, and Inheritance rights. It is divided into four indicators, some of which consist of several questions. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Assets, The law grants equal inheritance rights to male and female surviving spouses
Definition: The indicator assesses whether the law: (1) recognizes equal inheritance rights and, if established, the same order of succession for male and female surviving spouses; AND widows do not lose their right to inherited property upon remarriage; OR (2) provides for equal shares of inheritance and, if established, the same order of succession for male and female surviving spouses; AND widows do not lose their right to inherited property upon remarriage.
Score = 1 if any of the two conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Assets, The law grants equal inheritance rights to sons and daughters
Definition: The indicator assesses whether the law: (1) explicitly grants sons and daughters equal rights to inherit assets from their parents; OR (2) mandates equal shares of inheritance for sons and daughters; OR (3) does not specify any legal distinctions between boys and girls in matters of inheritance.
Score = 1 if one of the conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Assets, The law grants women equal rights over immovable property
Definition: The indicator assesses whether the law grants men and women equal ownership rights and administrative authority over immovable property, including land. Score = 1 if condition is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Assets, The law provides for the valuation of nonmonetary contributions in case of the dissolution of marriage
Definition: The indicator assesses whether: (1) there is an explicit legal recognition of nonmonetary contributions, and the law provides for equal or equitable division of property, or the transfer of a lump sum based on nonmonetary contributions; OR (2) the default marital property regime is full community, partial community, or deferred community of property. Score = 1 if any of the two conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Assets, Score (scale 0-100)
Definition: The Assets topic supportive frameworks score examines policies that support women in property ownership and registration, focusing on the availability of statistical data on women’s property ownership, awareness campaigns, joint titling, and mechanisms for property ownership and registration. It is divided into four indicators, some of which consist of several questions. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Assets, Awareness measures are in place to improve women's access to information about property and inheritance rights
Definition: The indicator assesses whether: (1) information on property or inheritance rights is provided by a public entity; (AND) this information covers at least one of the following thematic areas: land, housing, property, or inheritance; (AND) this information addresses at least one of the following aspects: how to claim property rights or how to divide or settle property in cases of divorce or death; (AND) the information is disseminated through websites, reports, programs, or educational activities; (AND) The information has been released or updated within the past five years preceding the data collection cut-off date and information provided by a private or nongovernmental agency is insufficient; OR; (2) there is a helpline provided by a public entity to advise property owners in the language spoken by the majority of the people, and this service has been operational during the reporting cycle; (AND) This information covers at least one of the following thematic areas: land, housing, property, or inheritance; (AND) This information addresses aspects related to how to claim or register property rights; OR (3) detailed guidelines on how to register property are available in the language spoken by the majority of people.
Score = 1 if any of the three conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Assets, The government publishes anonymized sex-disaggregated data on property ownership
Definition: The indicator assesses whether the government publishes anonymized sex-disaggregated data on the following: (1) land ownership; (2) housing. Partial score of 0.5 is assigned to each of the two underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Assets, The law enables the joint titling of matrimonial property (land, residential or commercial building) for both spouses
Definition: The indicator assesses whether the law: (1) mandates or presumes joint titling of matrimonial property; (2) provides for joint titling of matrimonial property. If first condition is met, score=1; if second condition is met, score= 0.5; if none of the two conditions are met, score=0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Assets, There are mechanisms or incentives to encourage women to register immovable property
Definition: The indicator assesses whether: (1) there is at least one effective policy or program administered or at least partially funded by a public entity aiming to enable women’s access to property ownership or registration, which includes concrete action items designed to address the gender gap in property ownership; OR (2) the government offers incentives, such as reduced fees, subsidized services, or affordable registration programs, either specifically designed for women or stipulating joint titling.
Score = 1 if any of the conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Assets, Score (scale 0–100)
Definition: The Assets topic enforcement perceptions score measures the extent to which gender differences in property and inheritance laws are enforced in practice or the consequent rights are upheld in practice. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Assets, Public authorities enforce equal rights over immovable property
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce equal rights over immovable property in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level scores are calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) for each indicator at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied, as described in detail in the enforcement perceptions scoring sections in the relevant topic chapters.
For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Assets, Public authorities enforce existing legislation granting equal inheritance rights to male and female surviving spouses
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation granting equal inheritance rights to male and female surviving spouses in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level scores are calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) for each indicator at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied, as described in detail in the enforcement perceptions scoring sections in the relevant topic chapters.
For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Assets, Public authorities enforce existing legislation granting equal inheritance rights to sons and daughters
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation granting equal inheritance rights to sons and daughters in practice.Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level scores are calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) for each indicator at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied, as described in detail in the enforcement perceptions scoring sections in the relevant topic chapters.
For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Assets, Public authorities enforce existing legislation that provides for the valuation of nonmonetary contributions in the case of the dissolution of marriage
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation that provides for the valuation of nonmonetary contributions in the case of the dissolution of marriage in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level scores are calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) for each indicator at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied, as described in detail in the enforcement perceptions scoring sections in the relevant topic chapters.
For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Bank or similar financial institution account (% age 15+)" indicator page provides information on the following indicators:
Bank or similar financial institution account (% age 15+)
Definition: The percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another similar financial institution, (% age 15+)
Source: Global Findex Database
Bank or similar financial institution account, women (% age 15+)
Definition: The percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another similar financial institution, women (% age 15+)
Source: Global Findex Database
Bank or similar financial institution account, men (% age 15+)
Definition: The percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another similar financial institution, men (% age 15+)
Source: Global Findex Database
The "Borrowed for health or medical purposes (% age 15+)" indicator page provides information on the following indicators:
Borrowed for health or medical purposes (% age 15+)
Definition: The percentage of respondents who report borrowing any money for health or medical purposes in the past year, (% age 15+)
Source: Global Findex Database
Borrowed for health or medical purposes, women (% age 15+)
Definition: The percentage of respondents who report borrowing any money for health or medical purposes in the past year, women (% age 15+)
Source: Global Findex Database
Borrowed for health or medical purposes, men (% age 15+)
Definition: The percentage of respondents who report borrowing any money for health or medical purposes in the past year, men (% age 15+)
Source: Global Findex Database
The "Borrowed money (% of total population, age 15+)" indicator page provides information on the following indicators:
Borrowed any money (% age 15+)
Definition: The percentage of respondents who report borrowing any money (by themselves or together with someone else) for any reason and from any source in the past year, (% age 15+)
Source: Global Findex Database
Borrowed any money, women (% age 15+)
Definition: The percentage of respondents who report borrowing any money (by themselves or together with someone else) for any reason and from any source in the past year, women (% age 15+)
Source: Global Findex Database
Borrowed any money, men (% age 15+)
Definition: The percentage of respondents who report borrowing any money (by themselves or together with someone else) for any reason and from any source in the past year, men (% age 15+)
Source: Global Findex Database
Borrowed from a formal bank or similar financial institution (% age 15+)
Definition: The percentage of respondents who report borrowing any money from a bank or similar financial institution or using a credit card in the past year, (% age 15+)
Source: Global Findex Database
Borrowed from a formal bank or similar financial institution, women (% age 15+)
Definition: The percentage of respondents who report borrowing any money from a bank or similar financial institution or using a credit card in the past year, women (% age 15+)
Source: Global Findex Database
Borrowed from a formal bank or similar financial institution, men (% age 15+)
Definition: The percentage of respondents who report borrowing any money from a bank or similar financial institution or using a credit card in the past year, men (% age 15+)
Source: Global Findex Database
Borrowed any money from a formal bank or similar financial institution or using a mobile money account (% age 15+)
Definition: The percentage of respondents who report borrowing any money from a bank or similar financial institution, or using a credit card, or using a mobile money account in the past year, (% age 15+)
Source: Global Findex Database
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, women (% age 15+)
Definition: The percentage of respondents who report borrowing any money from a bank or similar financial institution, or using a credit card, or using a mobile money account in the past year, women (% age 15+)
Source: Global Findex Database
Borrowed any money from a formal bank or similar financial institution or using a mobile money account, men (% age 15+)
Definition: The percentage of respondents who report borrowing any money from a bank or similar financial institution, or using a credit card, or using a mobile money account in the past year, men (% age 15+)
Source: Global Findex Database
Borrowed from family or friends (% age 15+)
Definition: The percentage of respondents who report borrowing any money from family, relatives, or friends in the past year, (% age 15+)
Source: Global Findex Database
Borrowed from family or friends, women (% age 15+)
Definition: The percentage of respondents who report borrowing any money from family, relatives, or friends in the past year, women (% age 15+)
Source: Global Findex Database
Borrowed from family or friends, men (% age 15+)
Definition: The percentage of respondents who report borrowing any money from family, relatives, or friends in the past year, men (% age 15+)
Source: Global Findex Database
Borrowed from a savings club (% age 15+)
Definition: The percentage of respondents who report borrowing any money from an informal savings club in the past year, (% age 15+)
Source: Global Findex Database
Borrowed from a savings club, women (% age 15+)
Definition: The percentage of respondents who report borrowing any money from an informal savings club in the past year, women (% age 15+)
Source: Global Findex Database
Borrowed from a savings club, men (% age 15+)
Definition: The percentage of respondents who report borrowing any money from an informal savings club in the past year, men (% age 15+)
Source: Global Findex Database
The "Borrowed to start or operate a business (% age 15+)" indicator page provides information on the following indicators:
Borrowed to start or operate a business (% age 15+)
Definition: The percentage of respondents who report borrowing any money to start or operate a business in the past year, (% age 15+)
Source: Global Findex Database
Borrowed to start or operate a business, women (% age 15+)
Definition: The percentage of respondents who report borrowing any money to start or operate a business in the past year, women (% age 15+)
Source: Global Findex Database
Borrowed to start or operate a business, men (% age 15+)
Definition: The percentage of respondents who report borrowing any money to start or operate a business in the past year, men (% age 15+)
Source: Global Findex Database
The "Coming up with emergency funds in 30 days (% of total population, age 15+)" indicator page provides information on the following indicators:
Coming up with emergency funds in 30 days: not possible (% age 15+)
Definition: The percentage of respondents who say it is not possible for them to come up with the emergency funds in 30 days. This includes people who say do not know or refused, (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: not possible, women (% age 15+)
Definition: The percentage of respondents who say it is not possible for them to come up with the emergency funds in 30 days. This includes people who say do not know or refused, women (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: not possible, men (% age 15+)
Definition: The percentage of respondents who say it is not possible for them to come up with the emergency funds in 30 days. This includes people who say do not know or refused, men (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible and not difficult at all (% age 15+)
Definition: The percentage of respondents who say it is possible and not difficult at all for them to come up with the funds in 30 days, (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible and not difficult at all, women (% age 15+)
Definition: The percentage of respondents who say it is possible and not difficult at all for them to come up with the funds in 30 days, women (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible and not difficult at all, men (% age 15+)
Definition: The percentage of respondents who say it is possible and not difficult at all for them to come up with the funds in 30 days, men (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible (% age 15+)
Definition: The percentage of respondents who say it is possible--whether"difficult,""somewhat difficult,"or"not very difficult"--for them to come up with the emergency funds in 30 days, (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible, women (% age 15+)
Definition: The percentage of respondents who say it is possible--whether"difficult,""somewhat difficult,"or"not very difficult"--for them to come up with the emergency funds in 30 days, women (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible, men (% age 15+)
Definition: The percentage of respondents who say it is possible--whether"difficult,""somewhat difficult,"or"not very difficult"--for them to come up with the emergency funds in 30 days, men (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible and somewhat difficult (% age 15+)
Definition: The percentage of respondents who say it is possible and somewhat difficult for them to come up with the emergency funds in 30 days, (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible and somewhat difficult, women (% age 15+)
Definition: The percentage of respondents who say it is possible and somewhat difficult for them to come up with the emergency funds in 30 days, women (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible and somewhat difficult, men (% age 15+)
Definition: The percentage of respondents who say it is possible and somewhat difficult for them to come up with the emergency funds in 30 days, men (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult (% age 15+)
Definition: The percentage of respondents who say it is possible and not difficult at all or somewhat difficult to come up with the funds in 30 days, (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult, women (% age 15+)
Definition: The percentage of respondents who say it is possible and not difficult at all or somewhat difficult to come up with the funds in 30 days, women (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult, men (% age 15+)
Definition: The percentage of respondents who say it is possible and not difficult at all or somewhat difficult to come up with the funds in 30 days, men (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible and very difficult (% age 15+)
Definition: The percentage of respondents who say it is possible and very difficult for them to come up with the emergency funds in 30 days, (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible and very difficult, women (% age 15+)
Definition: The percentage of respondents who say it is possible and very difficult for them to come up with the emergency funds in 30 days, women (% age 15+)
Source: Global Findex Database
Coming up with emergency funds in 30 days: possible and very difficult, men (% age 15+)
Definition: The percentage of respondents who say it is possible and very difficult for them to come up with the emergency funds in 30 days, men (% age 15+)
Source: Global Findex Database
The "Consequence of natural disaster in the past three years (% of total population, age 15+)" indicator page provides information on the following indicators:
Natural disaster in the past three years: Income lost or unable to work, by self or household member (% age 15+)
Definition: The percentage of respondents who report they or someone in their household lost income or were unable to work as a result of natural disasters or severe weather events in the past three years, (% age 15+)
Source: Global Findex Database
Natural disaster in the past three years: Income lost or unable to work, by self or household member, women (% age 15+)
Definition: The percentage of respondents who report they or someone in their household lost income or were unable to work as a result of natural disasters or severe weather events in the past three years, women (% age 15+)
Source: Global Findex Database
Natural disaster in the past three years: Income lost or unable to work, by self or household member, men (% age 15+)
Definition: The percentage of respondents who report they or someone in their household lost income or were unable to work as a result of natural disasters or severe weather events in the past three years, men (% age 15+)
Source: Global Findex Database
Natural disaster in the past three years: Damage to home or livestock (% age 15+)
Definition: The percentage of respondents who report they experienced damage to their home or livestock as a result of natural disasters or severe weather events in the past three years, (% age 15+)
Source: Global Findex Database
Natural disaster in the past three years: Damage to home or livestock, women (% age 15+)
Definition: The percentage of respondents who report they experienced damage to their home or livestock as a result of natural disasters or severe weather events in the past three years, women (% age 15+)
Source: Global Findex Database
Natural disaster in the past three years: Damage to home or livestock, men (% age 15+)
Definition: The percentage of respondents who report they experienced damage to their home or livestock as a result of natural disasters or severe weather events in the past three years, men (% age 15+)
Source: Global Findex Database
The "Debit card ownership (% age 15+)" indicator page provides information on the following indicators:
Owns a debit card, women (% age 15+)
Definition: The percentage of respondents who report having an ATM or debit card, women (% age 15+)
Source: Global Findex Database
Owns a debit card, men (% age 15+)
Definition: The percentage of respondents who report having an ATM or debit card, men (% age 15+)
Source: Global Findex Database
Owns a debit card (% age 15+)
Definition: The percentage of respondents who report having an ATM or debit card, (% age 15+)
Source: Global Findex Database
The "Human capital index plus (HCI+): overall score (scale 0-325)" indicator page provides information on the following indicators:
Human capital index plus (HCI+): overall score, female (scale 0–325)
Definition: The human capital index plus (HCI+): overall score calculates the contributions of health, education, and on-the-job learning to worker productivity. The index measures the productivity of a child born today as a future worker relative to the benchmark of full health, complete education, and full employment in wage employment.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://humancapital.worldbank.org/en/home
Human capital index plus (HCI+): overall score, male (scale 0–325)
Definition: The human capital index plus (HCI+): overall score calculates the contributions of health, education, and on-the-job learning to worker productivity. The index measures the productivity of a child born today as a future worker relative to the benchmark of full health, complete education, and full employment in wage employment.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://humancapital.worldbank.org/en/home
Human capital index plus (HCI+): overall score, total (scale 0–325)
Definition: The human capital index plus (HCI+): overall score calculates the contributions of health, education, and on-the-job learning to worker productivity. The index measures the productivity of a child born today as a future worker relative to the benchmark of full health, complete education, and full employment in wage employment.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://humancapital.worldbank.org/en/home
The "Made a digital merchant payment (% age 15+)" indicator page provides information on the following indicators:
Made a digital merchant payment (% age 15+)
Definition: The percentage of respondents who report using a debit or credit card, or a mobile phone, to make a purchase in-store or to pay online for an internet purchase, (% age 15+)
Source: Global Findex Database
Made a digital merchant payment, women (% age 15+)
Definition: The percentage of respondents who report using a debit or credit card, or a mobile phone, to make a purchase in-store or to pay online for an internet purchase, women (% age 15+)
Source: Global Findex Database
Made a digital merchant payment, men (% age 15+)
Definition: The percentage of respondents who report using a debit or credit card, or a mobile phone, to make a purchase in-store or to pay online for an internet purchase, men (% age 15+)
Source: Global Findex Database
The "Made a digital online merchant payment for an online purchase (% of total population, age 15+)" indicator page provides information on the following indicators:
Made a digital online merchant payment for an online purchase (% age 15+)
Definition: The percentage of respondents who report using the internet to buy something online in the past year and paid online, (% age 15+)
Source: Global Findex Database
Made a digital online merchant payment for an online purchase, women (% age 15+)
Definition: The percentage of respondents who report using the internet to buy something online in the past year and paid online, women (% age 15+)
Source: Global Findex Database
Made a digital online merchant payment for an online purchase, men (% age 15+)
Definition: The percentage of respondents who report using the internet to buy something online in the past year and paid online, men (% age 15+)
Source: Global Findex Database
The "Made a utility payment (% age 15+)" indicator page provides information on the following indicators:
Made a utility payment (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year, (% age 15+)
Source: Global Findex Database
Made a utility payment, women (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year, women (% age 15+)
Source: Global Findex Database
Made a utility payment, men (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year, men (% age 15+)
Source: Global Findex Database
Made a utility payment: using a bank or similar financial institution account (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year directly from a bank or similar financial institution account, (% age 15+)
Source: Global Findex Database
Made a utility payment: using a bank or similar financial institution account, women (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year directly from a bank or similar financial institution account, women (% age 15+)
Source: Global Findex Database
Made a utility payment: using a bank or similar financial institution account, men (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year directly from a bank or similar financial institution account, men (% age 15+)
Source: Global Findex Database
Made a utility payment: using an account (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year directly from a bank or similar financial institution account or by using a mobile phone, (% age 15+)
Source: Global Findex Database
Made a utility payment: using an account, women (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year directly from a bank or similar financial institution account or by using a mobile phone, women (% age 15+)
Source: Global Findex Database
Made a utility payment: using an account, men (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year directly from a bank or similar financial institution account or by using a mobile phone, men (% age 15+)
Source: Global Findex Database
Made a utility payment: using a mobile phone (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year using a mobile phone, (% age 15+)
Source: Global Findex Database
Made a utility payment: using a mobile phone, women (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year using a mobile phone, women (% age 15+)
Source: Global Findex Database
Made a utility payment: using a mobile phone, men (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year using a mobile phone, men (% age 15+)
Source: Global Findex Database
Made a utility payment: using cash only (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year using cash only, (% age 15+)
Source: Global Findex Database
Made a utility payment: using cash only, women (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year using cash only, women (% age 15+)
Source: Global Findex Database
Made a utility payment: using cash only, men (% age 15+)
Definition: The percentage of respondents who report personally making regular payments for water, electricity, or trash collection in the past year using cash only, men (% age 15+)
Source: Global Findex Database
The "Made or received a digital payment (% age 15+)" indicator page provides information on the following indicators:
Made or received a digital payment (% age 15+)
Definition: The percentage of respondents who report using mobile money, a debit or credit card, or a mobile phone to make a payment from an account--or report using the internet to pay bills or to buy something online or in a store--in the past year. This includes respondents who report paying bills, sending or receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly from or into a bank or similar financial institution account or through a mobile money account in the past year, (% age 15+)
Source: Global Findex Database
Made or received a digital payment, women (% age 15+)
Definition: The percentage of respondents who report using mobile money, a debit or credit card, or a mobile phone to make a payment from an account--or report using the internet to pay bills or to buy something online or in a store--in the past year. This includes respondents who report paying bills, sending or receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly from or into a bank or similar financial institution account or through a mobile money account in the past year, women (% age 15+)
Source: Global Findex Database
Made or received a digital payment, men (% age 15+)
Definition: The percentage of respondents who report using mobile money, a debit or credit card, or a mobile phone to make a payment from an account--or report using the internet to pay bills or to buy something online or in a store--in the past year. This includes respondents who report paying bills, sending or receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly from or into a bank or similar financial institution account or through a mobile money account in the past year, men (% age 15+)
Source: Global Findex Database
Made a digital payment (% age 15+)
Definition: The percentage of respondents who report using mobile money, a debit or credit card, or a mobile phone to make a payment from an account; or who report using the internet to pay bills or to buy something online or in a store in the past year. This includes respondents who report paying bills or sending remittances directly from a bank or similar financial institution account or through a mobile money account in the past year, (% age 15+)
Source: Global Findex Database
Made a digital payment, women (% age 15+)
Definition: The percentage of respondents who report using mobile money, a debit or credit card, or a mobile phone to make a payment from an account; or who report using the internet to pay bills or to buy something online or in a store in the past year. This includes respondents who report paying bills or sending remittances directly from a bank or similar financial institution account or through a mobile money account in the past year, women (% age 15+)
Source: Global Findex Database
Made a digital payment, men (% age 15+)
Definition: The percentage of respondents who report using mobile money, a debit or credit card, or a mobile phone to make a payment from an account; or who report using the internet to pay bills or to buy something online or in a store in the past year. This includes respondents who report paying bills or sending remittances directly from a bank or similar financial institution account or through a mobile money account in the past year, men (% age 15+)
Source: Global Findex Database
Received digital payments (% age 15+)
Definition: The percentage of respondents who report using a mobile money account, a debit or credit card, or a mobile phone to receive a payment into an account in the past year. This includes respondents who report receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly into a bank or similar financial institution account or into a mobile money account in the past year, (% age 15+)
Source: Global Findex Database
Received digital payments, women (% age 15+)
Definition: The percentage of respondents who report using a mobile money account, a debit or credit card, or a mobile phone to receive a payment into an account in the past year. This includes respondents who report receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly into a bank or similar financial institution account or into a mobile money account in the past year, women (% age 15+)
Source: Global Findex Database
Received digital payments, men (% age 15+)
Definition: The percentage of respondents who report using a mobile money account, a debit or credit card, or a mobile phone to receive a payment into an account in the past year. This includes respondents who report receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly into a bank or similar financial institution account or into a mobile money account in the past year, men (% age 15+)
Source: Global Findex Database
The "Made regular payments to insurance agent or company (% age 15+)" indicator page provides information on the following indicators:
Made regular payments to insurance agent or company (% age 15+)
Definition: The percentage of respondents who report they made made any regular payments to an insurance agent or company in the past year, (% age 15+)
Source: Global Findex Database
Made regular payments to insurance agent or company , women (% age 15+)
Definition: The percentage of respondents who report they made made any regular payments to an insurance agent or company in the past year, women (% age 15+)
Source: Global Findex Database
Made regular payments to insurance agent or company , men (% age 15+)
Definition: The percentage of respondents who report they made made any regular payments to an insurance agent or company in the past year, men (% age 15+)
Source: Global Findex Database
The "Main source of emergency funds in 30 days (% of total population, age 15+)" indicator page provides information on the following indicators:
Main source of emergency funds in 30 days: loan from a bank, employer, or private lender (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list borrowing from a bank, employer, or private lender as their main source of emergency funds, (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: loan from a bank, employer, or private lender, women (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list borrowing from a bank, employer, or private lender as their main source of emergency funds, women (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: loan from a bank, employer, or private lender, men (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list borrowing from a bank, employer, or private lender as their main source of emergency funds, men (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: family or friends (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list family, relatives, or friends as their main source of emergency funds, (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: family or friends, women (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list family, relatives, or friends as their main source of emergency funds, women (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: family or friends, men (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list family, relatives, or friends as their main source of emergency funds, men (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult (% age 15+)
Definition: The percentage of respondents who say that their main source of emergency money is family and friends and that it is possible and not difficult at all or somewhat difficult to come up with the funds in 30 days, (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult, women (% age 15+)
Definition: The percentage of respondents who say that their main source of emergency money is family and friends and that it is possible and not difficult at all or somewhat difficult to come up with the funds in 30 days, women (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: family or friends, possible and not difficult or somewhat difficult, men (% age 15+)
Definition: The percentage of respondents who say that their main source of emergency money is family and friends and that it is possible and not difficult at all or somewhat difficult to come up with the funds in 30 days, men (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: family or friends, possible and very difficult (% age 15+)
Definition: The percentage of respondents who say that their main source of emergency money is family and friends and that it is possible and very difficult to come up with the funds in 30 days, (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: family or friends, possible and very difficult, women (% age 15+)
Definition: The percentage of respondents who say that their main source of emergency money is family and friends and that it is possible and very difficult to come up with the funds in 30 days, women (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: family or friends, possible and very difficult, men (% age 15+)
Definition: The percentage of respondents who say that their main source of emergency money is family and friends and that it is possible and very difficult to come up with the funds in 30 days, men (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: savings (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list savings as their main source of emergency funds, (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: savings, women (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list savings as their main source of emergency funds, women (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: savings, men (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list savings as their main source of emergency funds, men (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult (% age 15+)
Definition: The percentage of respondents who say that their main source of emergency money is savings and that it is possible and not difficult at all or somewhat difficult to come up with the funds in 30 days, (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult, women (% age 15+)
Definition: The percentage of respondents who say that their main source of emergency money is savings and that it is possible and not difficult at all or somewhat difficult to come up with the funds in 30 days, women (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: savings, possible and not difficult or somewhat difficult, men (% age 15+)
Definition: The percentage of respondents who say that their main source of emergency money is savings and that it is possible and not difficult at all or somewhat difficult to come up with the funds in 30 days, men (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: sale of assets (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list selling assets as their main source of emergency funds, (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: sale of assets, women (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list selling assets as their main source of emergency funds, women (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: sale of assets, men (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list selling assets as their main source of emergency funds, men (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: work (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list money from working as their main source of emergency funds, (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: work, women (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list money from working as their main source of emergency funds, women (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: work, men (% age 15+)
Definition: The percentage of respondents who say it is possible for them to come up with emergency funds in 30 days and list money from working as their main source of emergency funds, men (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: work, possible and not difficult or somewhat difficult (% age 15+)
Definition: The percentage of respondents who say that their main source of emergency money is work and that it is possible and not difficult at all or somewhat difficult to come up with the funds in 30 days, (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: work, possible and not difficult or somewhat difficult, women (% age 15+)
Definition: The percentage of respondents who say that their main source of emergency money is work and that it is possible and not difficult at all or somewhat difficult to come up with the funds in 30 days, women (% age 15+)
Source: Global Findex Database
Main source of emergency funds in 30 days: work, possible and not difficult or somewhat difficult, men (% age 15+)
Definition: The percentage of respondents who say that their main source of emergency money is work and that it is possible and not difficult at all or somewhat difficult to come up with the funds in 30 days, men (% age 15+)
Source: Global Findex Database
The "Mobile money account (% age 15+)" indicator page provides information on the following indicators:
Mobile money account, women (% age 15+)
Definition: The percentage of respondents who report personally using a mobile money service in the past year, women (% age 15+)
Source: Global Findex Database
Mobile money account, men (% age 15+)
Definition: The percentage of respondents who report personally using a mobile money service in the past year, men (% age 15+)
Source: Global Findex Database
Mobile money account (% age 15+)
Definition: The percentage of respondents who report personally using a mobile money service in the past year, (% age 15+)
Source: Global Findex Database
The "Most worrying financial issue (% of total population, age 15+)" indicator page provides information on the following indicators:
Most worrying financial issue: money for old age (% age 15+)
Definition: The percentage of respondents whose primary financial worry is that they won't have enough money for old age, (% age 15+)
Source: Global Findex Database
Most worrying financial issue: money for old age, women (% age 15+)
Definition: The percentage of respondents whose primary financial worry is that they won't have enough money for old age, women (% age 15+)
Source: Global Findex Database
Most worrying financial issue: money for old age, men (% age 15+)
Definition: The percentage of respondents whose primary financial worry is that they won't have enough money for old age, men (% age 15+)
Source: Global Findex Database
Most worrying financial issue: paying for medical costs in case of a serious illness or accident (% age 15+)
Definition: The percentage of respondents whose primary financial issue is that they won't have enough money for medical costs in the case of a serious illness or accident, (% age 15+)
Source: Global Findex Database
Most worrying financial issue: paying for medical costs in case of a serious illness or accident, women (% age 15+)
Definition: The percentage of respondents whose primary financial issue is that they won't have enough money for medical costs in the case of a serious illness or accident, women (% age 15+)
Source: Global Findex Database
Most worrying financial issue: paying for medical costs in case of a serious illness or accident, men (% age 15+)
Definition: The percentage of respondents whose primary financial issue is that they won't have enough money for medical costs in the case of a serious illness or accident, men (% age 15+)
Source: Global Findex Database
Most worrying financial issue: money to pay for monthly expenses or bills (% age 15+)
Definition: The percentage of respondents whose primary financial issue is that they won't have enough money for monthly expenses or bills, (% age 15+)
Source: Global Findex Database
Most worrying financial issue: money to pay for monthly expenses or bills, women (% age 15+)
Definition: The percentage of respondents whose primary financial issue is that they won't have enough money for monthly expenses or bills, women (% age 15+)
Source: Global Findex Database
Most worrying financial issue: money to pay for monthly expenses or bills, men (% age 15+)
Definition: The percentage of respondents whose primary financial issue is that they won't have enough money for monthly expenses or bills, men (% age 15+)
Source: Global Findex Database
Most worrying financial issue: paying school or education fees (% age 15+)
Definition: The percentage of respondents whose primary financial issue is that they won't have enough money to pay school fees, (% age 15+)
Source: Global Findex Database
Most worrying financial issue: paying school or education fees, women (% age 15+)
Definition: The percentage of respondents whose primary financial issue is that they won't have enough money to pay school fees, women (% age 15+)
Source: Global Findex Database
Most worrying financial issue: paying school or education fees, men (% age 15+)
Definition: The percentage of respondents whose primary financial issue is that they won't have enough money to pay school fees, men (% age 15+)
Source: Global Findex Database
The "Ownership of a house (%)" indicator page provides information on the following indicators:
Women who own a house alone (% of women age 15-49)
Definition: Women who own house alone (% of women age 15-49) is the percentage of women age 15-49 who only own a house, which legally registered with their name or cannot be sold without their signature, alone (don't share ownership with anyone).
Source: Demographic and Health Surveys (DHS)
Women who own a house alone (% of women age 15-49): Q1 (lowest)
Definition: Women who own house alone (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who only own a house, which legally registered with their name or cannot be sold without their signature, alone (don't share ownership with anyone). Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house alone (% of women age 15-49): Q2
Definition: Women who own house alone (% of women age 15-49): Q2 is the percentage of women age 15-49 who only own a house, which legally registered with their name or cannot be sold without their signature, alone (don't share ownership with anyone). Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house alone (% of women age 15-49): Q3
Definition: Women who own house alone (% of women age 15-49): Q3 is the percentage of women age 15-49 who only own a house, which legally registered with their name or cannot be sold without their signature, alone (don't share ownership with anyone). Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house alone (% of women age 15-49): Q4
Definition: Women who own house alone (% of women age 15-49): Q4 is the percentage of women age 15-49 who only own a house, which legally registered with their name or cannot be sold without their signature, alone (don't share ownership with anyone). Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house alone (% of women age 15-49): Q5 (highest)
Definition: Women who own house alone (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who only own a house, which legally registered with their name or cannot be sold without their signature, alone (don't share ownership with anyone). Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house alone (% of men)
Definition: Men who own house alone (% of men) is the percentage of men who only solely own a house which is legally registered with their name or cannot be sold without their signature.
Source: Demographic and Health Surveys (DHS)
Men who own a house alone (% of men): Q1 (lowest)
Definition: Men who own house alone (% of men): Q1 (lowest) is the percentage of men who only solely own a house which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house alone (% of men): Q2
Definition: Men who own house alone (% of men): Q2 is the percentage of men who only solely own a house which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house alone (% of men): Q3
Definition: Men who own house alone (% of men): Q3 is the percentage of men who only solely own a house which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house alone (% of men): Q4
Definition: Men who own house alone (% of men): Q4 is the percentage of men who only solely own a house which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house alone (% of men): Q5 (highest)
Definition: Men who own house alone (% of men): Q5 (highest) is the percentage of men who only solely own a house which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house jointly (% of women age 15-49)
Definition: Women who own house jointly (% of women age 15-49) is the percentage of women age 15-49 who only jointly own a house, which is legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a house on her own, but instead jointly owns one with someone else.
Source: Demographic and Health Surveys (DHS)
Women who own a house jointly (% of women age 15-49): Q1 (lowest)
Definition: Women who own house jointly (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who only jointly own a house, which is legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a house on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house jointly (% of women age 15-49): Q2
Definition: Women who own house jointly (% of women age 15-49): Q2 is the percentage of women age 15-49 who only jointly own a house, which is legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a house on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house jointly (% of women age 15-49): Q3
Definition: Women who own house jointly (% of women age 15-49): Q3 is the percentage of women age 15-49 who only jointly own a house, which is legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a house on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house jointly (% of women age 15-49): Q4
Definition: Women who own house jointly (% of women age 15-49): Q4 is the percentage of women age 15-49 who only jointly own a house, which is legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a house on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house jointly (% of women age 15-49): Q5 (highest)
Definition: Women who own house jointly (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who only jointly own a house, which is legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a house on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house jointly (% of men)
Definition: Men who own house jointly (% of men) is the percentage of men who only jointly own a house, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a house on his own, but instead jointly owns one with someone else.
Source: Demographic and Health Surveys (DHS)
Men who own a house jointly (% of men): Q1 (lowest)
Definition: Men who own house jointly (% of men): Q1 (lowest) is the percentage of men who only jointly own a house, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a house on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house jointly (% of men): Q2
Definition: Men who own house jointly (% of men): Q2 is the percentage of men who only jointly own a house, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a house on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house jointly (% of men): Q3
Definition: Men who own house jointly (% of men): Q3 is the percentage of men who only jointly own a house, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a house on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house jointly (% of men): Q4
Definition: Men who own house jointly (% of men): Q4 is the percentage of men who only jointly own a house, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a house on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house jointly (% of men): Q5 (highest)
Definition: Men who own house jointly (% of men): Q5 (highest) is the percentage of men who only jointly own a house, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a house on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house both alone and jointly (% of women age 15-49)
Definition: Women who own house both alone and jointly (% of women age 15-49) is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else.
Source: Demographic and Health Surveys (DHS)
Women who own a house both alone and jointly (% of women age 15-49): Q1 (lowest)
Definition: Women who own house both alone and jointly (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house both alone and jointly (% of women age 15-49): Q2
Definition: Women who own house both alone and jointly (% of women age 15-49): Q2 is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house both alone and jointly (% of women age 15-49): Q3
Definition: Women who own house both alone and jointly (% of women age 15-49): Q3 is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house both alone and jointly (% of women age 15-49): Q4
Definition: Women who own house both alone and jointly (% of women age 15-49): Q4 is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own a house both alone and jointly (% of women age 15-49): Q5 (highest)
Definition: Women who own house both alone and jointly (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house both alone and jointly (% of men)
Definition: Men who own house both alone and jointly (% of men) is the percentage of men who both solely and jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a house alone and another house jointly with someone else.
Source: Demographic and Health Surveys (DHS)
Men who own a house both alone and jointly (% of men): Q1 (lowest)
Definition: Men who own house both alone and jointly (% of men): Q1 (lowest) is the percentage of men who both solely and jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a house alone and another house jointly with someone else.Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house both alone and jointly (% of men): Q2
Definition: Men who own house both alone and jointly (% of men): Q2 is the percentage of men who both solely and jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a house alone and another house jointly with someone else.Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house both alone and jointly (% of men): Q3
Definition: Men who own house both alone and jointly (% of men): Q3 is the percentage of men who both solely and jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a house alone and another house jointly with someone else.Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house both alone and jointly (% of men): Q4
Definition: Men who own house both alone and jointly (% of men): Q4 is the percentage of men who both solely and jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a house alone and another house jointly with someone else.Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own a house both alone and jointly (% of men): Q5 (highest)
Definition: Men who own house both alone and jointly (% of men): Q5 (highest) is the percentage of men who both solely and jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a house alone and another house jointly with someone else.Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who do not own a house (% of women age 15-49)
Definition: Women who do not own house (% of women age 15-49) is the percentage of women age 15-49 who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both.
Source: Demographic and Health Surveys (DHS)
Women who do not own a house (% of women age 15-49): Q1 (lowest)
Definition: Women who do not own house (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who do not own a house (% of women age 15-49): Q2
Definition: Women who do not own house (% of women age 15-49): Q2 is the percentage of women age 15-49 who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who do not own a house (% of women age 15-49): Q3
Definition: Women who do not own house (% of women age 15-49): Q3 is the percentage of women age 15-49 who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who do not own a house (% of women age 15-49): Q4
Definition: Women who do not own house (% of women age 15-49): Q4 is the percentage of women age 15-49 who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who do not own a house (% of women age 15-49): Q5 (highest)
Definition: Women who do not own house (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who do not own a house (% of men)
Definition: Men who do not own house (% of men) is the percentage of men who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both.
Source: Demographic and Health Surveys (DHS)
Men who do not own a house (% of men): Q1 (lowest)
Definition: Men who do not own house (% of men): Q1 (lowest) is the percentage of men who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who do not own a house (% of men): Q2
Definition: Men who do not own house (% of men): Q2 is the percentage of men who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who do not own a house (% of men): Q3
Definition: Men who do not own house (% of men): Q3 is the percentage of men who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who do not own a house (% of men): Q4
Definition: Men who do not own house (% of men): Q4 is the percentage of men who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who do not own a house (% of men): Q5 (highest)
Definition: Men who do not own house (% of men): Q5 (highest) is the percentage of men who don’t own any house, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
The "Ownership of land (%)" indicator page provides information on the following indicators:
Women who own land alone (% of women age 15-49)
Definition: Women who own land alone (% of women age 15-49) is the percentage of women age 15-49 who only solely own a land which is legally registered with their name or cannot be sold without their signature.
Source: Demographic and Health Surveys (DHS)
Women who own land alone (% of women age 15-49): Q1 (lowest)
Definition: Women who own land alone (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who only solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land alone (% of women age 15-49): Q2
Definition: Women who own land alone (% of women age 15-49): Q2 is the percentage of women age 15-49 who only solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land alone (% of women age 15-49): Q3
Definition: Women who own land alone (% of women age 15-49): Q3 is the percentage of women age 15-49 who only solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land alone (% of women age 15-49): Q4
Definition: Women who own land alone (% of women age 15-49): Q4 is the percentage of women age 15-49 who only solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land alone (% of women age 15-49): Q5 (highest)
Definition: Women who own land alone (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who only solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land alone (% of men)
Definition: Men who own land alone (% of men) is the percentage of men who solely own a land which is legally registered with their name or cannot be sold without their signature.
Source: Demographic and Health Surveys (DHS)
Men who own land alone (% of men): Q1 (lowest)
Definition: Men who own land alone (% of men): Q1 (lowest) is the percentage of men who solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land alone (% of men): Q2
Definition: Men who own land alone (% of men): Q2 is the percentage of men who solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land alone (% of men): Q3
Definition: Men who own land alone (% of men): Q3 is the percentage of men who solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land alone (% of men): Q4
Definition: Men who own land alone (% of men): Q4 is the percentage of men who solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land alone (% of men): Q5 (highest)
Definition: Men who own land alone (% of men): Q5 (highest) is the percentage of men who solely own a land which is legally registered with their name or cannot be sold without their signature. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land jointly (% of women age 15-49)
Definition: Women who own land jointly (% of women age 15-49) is the percentage of women age 15-49 who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a land on her own, but instead jointly owns one with someone else.
Source: Demographic and Health Surveys (DHS)
Women who own land jointly (% of women age 15-49): Q1 (lowest)
Definition: Women who own land jointly (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a land on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land jointly (% of women age 15-49): Q2
Definition: Women who own land jointly (% of women age 15-49): Q2 is the percentage of women age 15-49 who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a land on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land jointly (% of women age 15-49): Q3
Definition: Women who own land jointly (% of women age 15-49): Q3 is the percentage of women age 15-49 who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a land on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land jointly (% of women age 15-49): Q4
Definition: Women who own land jointly (% of women age 15-49): Q4 is the percentage of women age 15-49 who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a land on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land jointly (% of women age 15-49): Q5 (highest)
Definition: Women who own land jointly (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the woman doesn’t own a land on her own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land jointly (% of men)
Definition: Men who own land jointly (% of men) is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else.
Source: Demographic and Health Surveys (DHS)
Men who own land jointly (% of men): Q1 (lowest)
Definition: Men who own land jointly (% of men): Q1 (lowest) is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land jointly (% of men): Q2
Definition: Men who own land jointly (% of men): Q2 is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land jointly (% of men): Q3
Definition: Men who own land jointly (% of men): Q3 is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land jointly (% of men): Q4
Definition: Men who own land jointly (% of men): Q4 is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land jointly (% of men): Q5 (highest)
Definition: Men who own land jointly (% of men): Q5 (highest) is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land both alone and jointly (% of women age 15-49)
Definition: Women who own land both alone and jointly (% of women age 15-49) is the percentage of women age 15-49 who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a land alone and another land jointly with someone else.
Source: Demographic and Health Surveys (DHS)
Women who own land both alone and jointly (% of women age 15-49): Q1 (lowest)
Definition: Women who own land both alone and jointly (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land both alone and jointly (% of women age 15-49): Q2
Definition: Women who own land both alone and jointly (% of women age 15-49): Q2 is the percentage of women age 15-49 who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land both alone and jointly (% of women age 15-49): Q3
Definition: Women who own land both alone and jointly (% of women age 15-49): Q3 is the percentage of women age 15-49 who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land both alone and jointly (% of women age 15-49): Q4
Definition: Women who own land both alone and jointly (% of women age 15-49): Q4 is the percentage of women age 15-49 who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who own land both alone and jointly (% of women age 15-49): Q5 (highest)
Definition: Women who own land both alone and jointly (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land both alone and jointly (% of men)
Definition: Men who own land both alone and jointly (% of men) is the percentage of men who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a land alone and another land jointly with someone else.
Source: Demographic and Health Surveys (DHS)
Men who own land both alone and jointly (% of men): Q1 (lowest)
Definition: Men who own land both alone and jointly (% of men): Q1 (lowest) is the percentage of men who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land both alone and jointly (% of men): Q2
Definition: Men who own land both alone and jointly (% of men): Q2 is the percentage of men who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land both alone and jointly (% of men): Q3
Definition: Men who own land both alone and jointly (% of men): Q3 is the percentage of men who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land both alone and jointly (% of men): Q4
Definition: Men who own land both alone and jointly (% of men): Q4 is the percentage of men who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who own land both alone and jointly (% of men): Q5 (highest)
Definition: Men who own land both alone and jointly (% of men): Q5 (highest) is the percentage of men who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who do not own land (% of women age 15-49)
Definition: Women who do not own land (% of women age 15-49) is the percentage of women age 15-49 who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both.
Source: Demographic and Health Surveys (DHS)
Women who do not own land (% of women age 15-49): Q1 (lowest)
Definition: Women who do not own land (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who do not own land (% of women age 15-49): Q2
Definition: Women who do not own land (% of women age 15-49): Q2 is the percentage of women age 15-49 who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who do not own land (% of women age 15-49): Q3
Definition: Women who do not own land (% of women age 15-49): Q3 is the percentage of women age 15-49 who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who do not own land (% of women age 15-49): Q4
Definition: Women who do not own land (% of women age 15-49): Q4 is the percentage of women age 15-49 who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Women who do not own land (% of women age 15-49): Q5 (highest)
Definition: Women who do not own land (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who do not own land (% of men)
Definition: Men who do not own land (% of men) is the percentage of men who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both.
Source: Demographic and Health Surveys (DHS)
Men who do not own land (% of men): Q1 (lowest)
Definition: Men who do not own land (% of men): Q1 (lowest) is the percentage of men who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who do not own land (% of men): Q2
Definition: Men who do not own land (% of men): Q2 is the percentage of men who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who do not own land (% of men): Q3
Definition: Men who do not own land (% of men): Q3 is the percentage of men who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who do not own land (% of men): Q4
Definition: Men who do not own land (% of men): Q4 is the percentage of men who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
Men who do not own land (% of men): Q5 (highest)
Definition: Men who do not own land (% of men): Q5 (highest) is the percentage of men who don’t own any land, which legally registered with their name or cannot be sold without their signature, either solely or jointly with someone else or both. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: Demographic and Health Surveys (DHS)
The "Owns a credit card (% age 15+)" indicator page provides information on the following indicators:
Owns a credit card (% age 15+)
Definition: The percentage of respondents who report having a credit card, (% age 15+)
Source: Global Findex Database
Owns a credit card, women (% age 15+)
Definition: The percentage of respondents who report having a credit card, women (% age 15+)
Source: Global Findex Database
Owns a credit card, men (% age 15+)
Definition: The percentage of respondents who report having a credit card, men (% age 15+)
Source: Global Findex Database
The "Paid off all credit card balances in full by their due date (% age 15+)" indicator page provides information on the following indicators:
Paid off all credit card balances in full by their due date (% age 15+)
Definition: The percentage of respondents who report they paid off all credit card balances in full by their due date, (% age 15+)
Source: Global Findex Database
Paid off all credit card balances in full by their due date, women (% age 15+)
Definition: The percentage of respondents who report they paid off all credit card balances in full by their due date, women (% age 15+)
Source: Global Findex Database
Paid off all credit card balances in full by their due date, men (% age 15+)
Definition: The percentage of respondents who report they paid off all credit card balances in full by their due date, men (% age 15+)
Source: Global Findex Database
The "Pension Topic (Women, Business and the Law)" indicator page provides information on the following indicators:
WBL: Legal Framework, Pension, Score (scale 0-100)
Definition: The Pension topic legal framework score measures differences in retirement ages, whether the law allows for pension care credits to compensate for a woman’s career interruptions, and whether the law mandates survivor pension benefits for spouses. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Pension, Periods of absence due to childcare are accounted for in the calculation of pension benefits
Definition: The indicator assesses whether: (1) pension contributions are paid or credited during maternity or parental leave or the leave period is considered a qualifying period of employment used for the purpose of calculating pension benefits; OR (2) there are mechanisms to compensate for any gaps in contributions due to maternity or parental leave and to ensure that the leave period does not reduce the assessment base for pension amounts; OR (3) there are no mandatory contributory pension schemes, but there is a noncontributory universal social pension (that is, independent of contributions and income level).
Score = 1 if one of the conditions is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Pension, The ages at which a woman and a man can retire are the same
Definition: The indicator assesses whether statutory retirement ages for women and men are equal for both full and partial pension benefits. The indicator is assigned a score of 1 if the age for a woman and a man is the same, and 0 if the difference in ages is equal to or greater than 5 years. If the difference in ages is greater than zero and less than 5 years, the score is calculated using a linear function, indicating that as the age gap between men and women decreases, the score increases. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Pension, The law mandates equal survivor benefits for spouses
Definition: The indicator assesses whether the law specifies the following: (1) equal eligibility criteria for widows and widowers to access survivor pension benefits; (2) minimum age at which spouses can receive survivor benefits; (3) benefit payments are paid in installments for widows and widowers. Partial score of 0.33 is assigned to each of the three underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Pension, The mandatory retirement age for a woman and a man is the same
Definition: The indicator assesses whether the law mandates the same compulsory retirement age for women and men. The indicator is assigned a score of 1 if the age for a woman and a man is the same, and 0 if the difference in ages is equal to or greater than 5 years. If the difference in ages is greater than zero and less than 5 years, the score is calculated using a linear function, indicating that as the age gap between men and women decreases, the score increases. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Pension, Score (scale 0-100)
Definition: The Pension topic supportive frameworks score examines policies and practices that support the implementation of laws pertaining to women’s old age security, including incentives to increase women’s retirement benefits, dedicated procedures to challenge benefit decisions, measures to raise awareness about pension benefits, and the existence of sex-disaggregated data on retirement ages and amounts of pension benefits. It is divided into four indicators, some of which consist of several questions. It is calculated as the unweighted average of the indicator scores in that topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Pension, A procedure is in place for pension beneficiaries to challenge the decisions of the competent authority regarding their benefits
Definition: The indicator assesses whether: (1) there is a mandatory pension system; AND (2) the system is operational; AND (3) there is a judicial or administrative procedure for pension beneficiaries to challenge the decisions of the competent authority about their benefits. Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Pension, Awareness measures are in place to improve access to information about pensions
Definition: The indicator assesses whether: (1) there is a mandatory pension system; AND (2) the system is operational; AND (3) the information has been released or updated within the past five years preceding the data collection cut-off date. Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Pension, Incentives are in place to increase women’s pension benefits
Definition: The indicator assesses whether there are laws or policies in place that provide incentives to increase a woman’s pension benefits. Score = 1 if the condition is met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Pension, The government publishes anonymized sex-disaggregated data on actual retirement ages and actual amounts of pension benefits
Definition: The indicator assesses whether the government publishes anonymized sex-disaggregated data on the following: (1) actual retirement ages; (2) actual amount of received pension benefits. Partial score of 0.5 is assigned to each of the three underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Pension, Score (scale 0–100)
Definition: The Pension topic enforcement perception score measures the extent to which laws on the size of a woman’s pension are enforced in practice. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Pension, Public authorities enforce existing legislation accounting for periods of absence due to childcare in pension benefits
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation accounting for periods of absence due to childcare in pension benefits in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link:https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Pension, Public authorities enforce existing legislation mandating equal survivor benefits for spouses
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation mandating equal survivor benefits for spouses in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link:https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Pension, Public authorities enforce existing legislation on mandatory retirement ages
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation on mandatory retirement ages in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link:https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Pension, Public authorities enforce existing legislation on retirement ages and benefits
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation on retirement ages and benefits in practice. Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level score is contingent upon the score of the corresponding legal frameworks indicator and calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied. For details, please refer to the WBL Methodology Handbook (link:https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "People with a national identity card or equivalent foundational identity document (% ages 15+)" indicator page provides information on the following indicators:
ID ownership, female (% age 15+)
Definition: The percentage of female respondents age 15 and above who report owning a primary foundational ID (national ID or similar credential). If the minimum age for obtaining an ID is above 15, observations below the minimum age are excluded.
Source: Global Findex Database
ID ownership, male (% age 15+)
Definition: The percentage of male respondents age 15 and above who report owning a primary foundational ID (national ID or similar credential). If the minimum age for obtaining an ID is above 15, observations below the minimum age are excluded.
Source: Global Findex Database
The "Purchased food on credit (% age 15+)" indicator page provides information on the following indicators:
Purchased food on credit (% age 15+)
Definition: The percentage of respondents who report buying household food and paying for it at a later date, (% age 15+)
Source: Global Findex Database
Purchased food on credit, women (% age 15+)
Definition: The percentage of respondents who report buying household food and paying for it at a later date, women (% age 15+)
Source: Global Findex Database
Purchased food on credit, men (% age 15+)
Definition: The percentage of respondents who report buying household food and paying for it at a later date, men (% age 15+)
Source: Global Findex Database
The "Received government payments (% age 15+)" indicator page provides information on the following indicators:
Received government payments (% age 15+)
Definition: The percentage of respondents who report personally receiving any payment from the government (government transfers, public sector pension, or public sector wages) in the past year. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It also includes pension payments from the government, military, or public sector as well as wages from employment in the government, military, or public sector, (% age 15+)
Source: Global Findex Database
Received government payments, women (% age 15+)
Definition: The percentage of respondents who report personally receiving any payment from the government (government transfers, public sector pension, or public sector wages) in the past year. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It also includes pension payments from the government, military, or public sector as well as wages from employment in the government, military, or public sector, women (% age 15+)
Source: Global Findex Database
Received government payments, men (% age 15+)
Definition: The percentage of respondents who report personally receiving any payment from the government (government transfers, public sector pension, or public sector wages) in the past year. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It also includes pension payments from the government, military, or public sector as well as wages from employment in the government, military, or public sector, men (% age 15+)
Source: Global Findex Database
Received government payments: into an account (% age 15+)
Definition: The percentage of respondents who report personally receiving payments from the government (government transfers, public sector pension, or public sector wages) in the past year directly into a bank or similar financial institution account, into a card, or through a mobile phone, (% age 15+)
Source: Global Findex Database
Received government payments: into an account, women (% age 15+)
Definition: The percentage of respondents who report personally receiving payments from the government (government transfers, public sector pension, or public sector wages) in the past year directly into a bank or similar financial institution account, into a card, or through a mobile phone, women (% age 15+)
Source: Global Findex Database
Received government payments: into an account, men (% age 15+)
Definition: The percentage of respondents who report personally receiving payments from the government (government transfers, public sector pension, or public sector wages) in the past year directly into a bank or similar financial institution account, into a card, or through a mobile phone, men (% age 15+)
Source: Global Findex Database
Received government payments: into a bank or similar financial institution account (% age 15+)
Definition: The percentage of respondents who report personally receiving payments from the government (government transfers, public sector pension, or public sector wages) in the past year directly into a bank or similar financial institution account, (% age 15+)
Source: Global Findex Database
Received government payments: into a bank or similar financial institution account, women (% age 15+)
Definition: The percentage of respondents who report personally receiving payments from the government (government transfers, public sector pension, or public sector wages) in the past year directly into a bank or similar financial institution account, women (% age 15+)
Source: Global Findex Database
Received government payments: into a bank or similar financial institution account, men (% age 15+)
Definition: The percentage of respondents who report personally receiving payments from the government (government transfers, public sector pension, or public sector wages) in the past year directly into a bank or similar financial institution account, men (% age 15+)
Source: Global Findex Database
The "Received government transfer (% age 15+)" indicator page provides information on the following indicators:
Received government transfer (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer from the government in the past year. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It does not include a pension from the government, military, or public sector; wages; or any other payments related to work, (% age 15+)
Source: Global Findex Database
Received government transfer, women (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer from the government in the past year. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It does not include a pension from the government, military, or public sector; wages; or any other payments related to work, women (% age 15+)
Source: Global Findex Database
Received government transfer, men (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer from the government in the past year. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It does not include a pension from the government, military, or public sector; wages; or any other payments related to work, men (% age 15+)
Source: Global Findex Database
Received government transfer: into an account (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer from the government in the past year directly into a bank or similar financial institution account, into a card, or through a mobile phone, (% age 15+)
Source: Global Findex Database
Received government transfer: into an account, women (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer from the government in the past year directly into a bank or similar financial institution account, into a card, or through a mobile phone, women (% age 15+)
Source: Global Findex Database
Received government transfer: into an account, men (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer from the government in the past year directly into a bank or similar financial institution account, into a card, or through a mobile phone, men (% age 15+)
Source: Global Findex Database
Received government transfer: into a bank or similar financial institution account (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer from the government in the past year directly into a bank or similar financial institution account, (% age 15+)
Source: Global Findex Database
Received government transfer: into a bank or similar financial institution account, women (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer from the government in the past year directly into a bank or similar financial institution account, women (% age 15+)
Source: Global Findex Database
Received government transfer: into a bank or similar financial institution account, men (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer from the government in the past year directly into a bank or similar financial institution account, men (% age 15+)
Source: Global Findex Database
Received government transfer or pension (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer or pension from the government in the past year. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It also includes payments for a pension from the government, military, or public sector, (% age 15+)
Source: Global Findex Database
Received government transfer or pension, women (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer or pension from the government in the past year. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It also includes payments for a pension from the government, military, or public sector, women (% age 15+)
Source: Global Findex Database
Received government transfer or pension, men (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer or pension from the government in the past year. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It also includes payments for a pension from the government, military, or public sector, men (% age 15+)
Source: Global Findex Database
Received government transfer or pension: into an account (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer or pension from the government in the past year into a bank or similar financial institution account, into a card, or through a mobile phone, (% age 15+)
Source: Global Findex Database
Received government transfer or pension: into an account, women (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer or pension from the government in the past year into a bank or similar financial institution account, into a card, or through a mobile phone, women (% age 15+)
Source: Global Findex Database
Received government transfer or pension: into an account, men (% age 15+)
Definition: The percentage of respondents who report personally receiving any transfer or pension from the government in the past year into a bank or similar financial institution account, into a card, or through a mobile phone, men (% age 15+)
Source: Global Findex Database
Received government transfer or pension: into bank or similar financial institution account (% age 15+)
Definition: The percentage of respondents who report personally receiving any government transfer or pension from the government in the past year into a bank or similar financial institution account, (% age 15+)
Source: Global Findex Database
Received government transfer or pension: into bank or similar financial institution account, women (% age 15+)
Definition: The percentage of respondents who report personally receiving any government transfer or pension from the government in the past year into a bank or similar financial institution account, women (% age 15+)
Source: Global Findex Database
Received government transfer or pension: into bank or similar financial institution account, men (% age 15+)
Definition: The percentage of respondents who report personally receiving any government transfer or pension from the government in the past year into a bank or similar financial institution account, men (% age 15+)
Source: Global Findex Database
Received a public sector pension (% age 15+)
Definition: The percentage of respondents who report personally receiving a pension from the government, military, or public sector in the past year, (% age 15+)
Source: Global Findex Database
Received a public sector pension, women (% age 15+)
Definition: The percentage of respondents who report personally receiving a pension from the government, military, or public sector in the past year, women (% age 15+)
Source: Global Findex Database
Received a public sector pension, men (% age 15+)
Definition: The percentage of respondents who report personally receiving a pension from the government, military, or public sector in the past year, men (% age 15+)
Source: Global Findex Database
Received a public sector pension: into an account (% age 15+)
Definition: The percentage of respondents who report personally receiving a pension from the government, military, or public sector in the past year directly into a bank or similar financial institution account, into a card, or through a mobile phone, (% age 15+)
Source: Global Findex Database
Received a public sector pension: into an account, women (% age 15+)
Definition: The percentage of respondents who report personally receiving a pension from the government, military, or public sector in the past year directly into a bank or similar financial institution account, into a card, or through a mobile phone, women (% age 15+)
Source: Global Findex Database
Received a public sector pension: into an account, men (% age 15+)
Definition: The percentage of respondents who report personally receiving a pension from the government, military, or public sector in the past year directly into a bank or similar financial institution account, into a card, or through a mobile phone, men (% age 15+)
Source: Global Findex Database
Received a public sector pension: into a bank or similar financial institution account (% age 15+)
Definition: The percentage of respondents who report personally receiving a pension from the government, military, or public sector in the past year directly into a bank or similar financial institution account, (% age 15+)
Source: Global Findex Database
Received a public sector pension: into a bank or similar financial institution account, women (% age 15+)
Definition: The percentage of respondents who report personally receiving a pension from the government, military, or public sector in the past year directly into a bank or similar financial institution account, women (% age 15+)
Source: Global Findex Database
Received a public sector pension: into a bank or similar financial institution account, men (% age 15+)
Definition: The percentage of respondents who report personally receiving a pension from the government, military, or public sector in the past year directly into a bank or similar financial institution account, men (% age 15+)
Source: Global Findex Database
The "Received payments for agricultural products: in cash only (% of total population, age 15+)" indicator page provides information on the following indicators:
Received payments for agricultural products: in cash only (% age 15+)
Definition: The percentage of respondents who report personally receiving money from any source for the sale of agricultural products, crops, produce, or livestock in the past year in cash only, (% age 15+)
Source: Global Findex Database
Received payments for agricultural products: in cash only, women (% age 15+)
Definition: The percentage of respondents who report personally receiving money from any source for the sale of agricultural products, crops, produce, or livestock in the past year in cash only, women (% age 15+)
Source: Global Findex Database
Received payments for agricultural products: in cash only, men (% age 15+)
Definition: The percentage of respondents who report personally receiving money from any source for the sale of agricultural products, crops, produce, or livestock in the past year in cash only, men (% age 15+)
Source: Global Findex Database
The "Received payments for the sale of agricultural products, livestock, or crops (% age 15+)" indicator page provides information on the following indicators:
Received payments for the sale of agricultural products, livestock, or crops (% age 15+)
Definition: The percentage of respondents who report personally receiving payments from any source for the sale of agricultural products, crops, produce, or livestock in the past year, (% age 15+)
Source: Global Findex Database
Received payments for the sale of agricultural products, livestock, or crops, women (% age 15+)
Definition: The percentage of respondents who report personally receiving payments from any source for the sale of agricultural products, crops, produce, or livestock in the past year, women (% age 15+)
Source: Global Findex Database
Received payments for the sale of agricultural products, livestock, or crops, men (% age 15+)
Definition: The percentage of respondents who report personally receiving payments from any source for the sale of agricultural products, crops, produce, or livestock in the past year, men (% age 15+)
Source: Global Findex Database
The "Received private sector wages (% age 15+)" indicator page provides information on the following indicators:
Received private sector wages (% age 15+)
Definition: The percentage of respondents who report being employed in the private sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, (% age 15+)
Source: Global Findex Database
Received private sector wages, women (% age 15+)
Definition: The percentage of respondents who report being employed in the private sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, women (% age 15+)
Source: Global Findex Database
Received private sector wages, men (% age 15+)
Definition: The percentage of respondents who report being employed in the private sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, men (% age 15+)
Source: Global Findex Database
Received private sector wages: into a bank or similar financial institution account (% age 15+)
Definition: The percentage of respondents who report being employed in the private sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, and who received that money directly into a bank or similar financial institution account, (% age 15+)
Source: Global Findex Database
Received private sector wages: into a bank or similar financial institution account, women (% age 15+)
Definition: The percentage of respondents who report being employed in the private sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, and who received that money directly into a bank or similar financial institution account, women (% age 15+)
Source: Global Findex Database
Received private sector wages: into a bank or similar financial institution account, men (% age 15+)
Definition: The percentage of respondents who report being employed in the private sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, and who received that money directly into a bank or similar financial institution account, men (% age 15+)
Source: Global Findex Database
Received private sector wages: in cash only (% age 15+)
Definition: The percentage of respondents who report being employed in the private sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work in cash only, (% age 15+)
Source: Global Findex Database
Received private sector wages: in cash only, women (% age 15+)
Definition: The percentage of respondents who report being employed in the private sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work in cash only, women (% age 15+)
Source: Global Findex Database
Received private sector wages: in cash only, men (% age 15+)
Definition: The percentage of respondents who report being employed in the private sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work in cash only, men (% age 15+)
Source: Global Findex Database
Received private sector wages: into an account (% age 15+)
Definition: The percentage of respondents who report being employed in the private sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, and who received that money directly into a bank or similar financial institution account, into a card, or through a mobile phone, (% age 15+)
Source: Global Findex Database
Received private sector wages: into an account, women (% age 15+)
Definition: The percentage of respondents who report being employed in the private sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, and who received that money directly into a bank or similar financial institution account, into a card, or through a mobile phone, women (% age 15+)
Source: Global Findex Database
Received private sector wages: into an account, men (% age 15+)
Definition: The percentage of respondents who report being employed in the private sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, and who received that money directly into a bank or similar financial institution account, into a card, or through a mobile phone, men (% age 15+)
Source: Global Findex Database
The "Received public sector wages (% age 15+)" indicator page provides information on the following indicators:
Received public sector wages (% age 15+)
Definition: The percentage of respondents who report being employed by the government, military, or public sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, (% age 15+)
Source: Global Findex Database
Received public sector wages, women (% age 15+)
Definition: The percentage of respondents who report being employed by the government, military, or public sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, women (% age 15+)
Source: Global Findex Database
Received public sector wages, men (% age 15+)
Definition: The percentage of respondents who report being employed by the government, military, or public sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, men (% age 15+)
Source: Global Findex Database
Received public sector wages: into a bank or similar financial institution account (% age 15+)
Definition: The percentage of respondents who report being employed by the government, military, or public sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, and who report receiving that money directly into a bank or similar financial institution account, (% age 15+)
Source: Global Findex Database
Received public sector wages: into a bank or similar financial institution account, women (% age 15+)
Definition: The percentage of respondents who report being employed by the government, military, or public sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, and who report receiving that money directly into a bank or similar financial institution account, women (% age 15+)
Source: Global Findex Database
Received public sector wages: into a bank or similar financial institution account, men (% age 15+)
Definition: The percentage of respondents who report being employed by the government, military, or public sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, and who report receiving that money directly into a bank or similar financial institution account, men (% age 15+)
Source: Global Findex Database
Received public sector wages: into an account (% age 15+)
Definition: The percentage of respondents who report being employed by the government, military, or public sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, and who received that money directly into a bank or similar financial institution account, into a card, or into a mobile money account, (% age 15+)
Source: Global Findex Database
Received public sector wages: into an account, women (% age 15+)
Definition: The percentage of respondents who report being employed by the government, military, or public sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, and who received that money directly into a bank or similar financial institution account, into a card, or into a mobile money account, women (% age 15+)
Source: Global Findex Database
Received public sector wages: into an account, men (% age 15+)
Definition: The percentage of respondents who report being employed by the government, military, or public sector and receiving any money from their employer in the past year in the form of a salary or wages for doing work, and who received that money directly into a bank or similar financial institution account, into a card, or into a mobile money account, men (% age 15+)
Source: Global Findex Database
The "Received wages (% age 15+)" indicator page provides information on the following indicators:
Received wages (% age 15+)
Definition: The percentage of respondents who report receiving any money from an employer in the past year in the form of a salary or wages for doing work. This does not include any money received directly from clients or customers, (% age 15+)
Source: Global Findex Database
Received wages, women (% age 15+)
Definition: The percentage of respondents who report receiving any money from an employer in the past year in the form of a salary or wages for doing work. This does not include any money received directly from clients or customers, women (% age 15+)
Source: Global Findex Database
Received wages, men (% age 15+)
Definition: The percentage of respondents who report receiving any money from an employer in the past year in the form of a salary or wages for doing work. This does not include any money received directly from clients or customers, men (% age 15+)
Source: Global Findex Database
Received wages: into an account (% age 15+)
Definition: The percentage of respondents who report receiving any money from an employer in the past year in the form of a salary or wages for doing work, and who received it directly into a bank or similar financial institution account, into a card, or through a mobile phone, (% age 15+)
Source: Global Findex Database
Received wages: into an account, women (% age 15+)
Definition: The percentage of respondents who report receiving any money from an employer in the past year in the form of a salary or wages for doing work, and who received it directly into a bank or similar financial institution account, into a card, or through a mobile phone, women (% age 15+)
Source: Global Findex Database
Received wages: into an account, men (% age 15+)
Definition: The percentage of respondents who report receiving any money from an employer in the past year in the form of a salary or wages for doing work, and who received it directly into a bank or similar financial institution account, into a card, or through a mobile phone, men (% age 15+)
Source: Global Findex Database
Received wages: into a bank or similar financial institution account (% age 15+)
Definition: The percentage of respondents who report receiving any money from an employer in the past year in the form of a salary or wages for doing work, and who received it directly into a bank or similar financial institution account, (% age 15+)
Source: Global Findex Database
Received wages: into a bank or similar financial institution account, women (% age 15+)
Definition: The percentage of respondents who report receiving any money from an employer in the past year in the form of a salary or wages for doing work, and who received it directly into a bank or similar financial institution account, women (% age 15+)
Source: Global Findex Database
Received wages: into a bank or similar financial institution account, men (% age 15+)
Definition: The percentage of respondents who report receiving any money from an employer in the past year in the form of a salary or wages for doing work, and who received it directly into a bank or similar financial institution account, men (% age 15+)
Source: Global Findex Database
Received wages: in cash only (% age 15+)
Definition: The percentage of respondents who report receiving any money from an employer in the past year in the form of a salary or wages for doing work, and who received it in cash only, (% age 15+)
Source: Global Findex Database
Received wages: in cash only, women (% age 15+)
Definition: The percentage of respondents who report receiving any money from an employer in the past year in the form of a salary or wages for doing work, and who received it in cash only, women (% age 15+)
Source: Global Findex Database
Received wages: in cash only, men (% age 15+)
Definition: The percentage of respondents who report receiving any money from an employer in the past year in the form of a salary or wages for doing work, and who received it in cash only, men (% age 15+)
Source: Global Findex Database
The "Saved at a bank or similar financial institution or using a mobile money account (% age 15+)" indicator page provides information on the following indicators:
Saved at a bank or similar financial institution or using a mobile money account, women (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money at a bank or similar financial institution or using a mobile money account to save in the past year, women (% age 15+)
Source: Global Findex Database
Saved at a bank or similar financial institution or using a mobile money account, men (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money at a bank or similar financial institution or using a mobile money account to save in the past year, men (% age 15+)
Source: Global Findex Database
Saved at a bank or similar financial institution or using a mobile money account (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money at a bank or similar financial institution or using a mobile money account to save in the past year, (% age 15+)
Source: Global Findex Database
The "Saved money (% of total population, age 15+)" indicator page provides information on the following indicators:
Saved at a bank or similar financial institution (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money at a bank or similar financial institution in the past year, (% age 15+)
Source: Global Findex Database
Saved at a bank or similar financial institution, women (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money at a bank or similar financial institution in the past year, women (% age 15+)
Source: Global Findex Database
Saved at a bank or similar financial institution, men (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money at a bank or similar financial institution in the past year, men (% age 15+)
Source: Global Findex Database
Saved money using a mobile money account (% age 15+)
Definition: The percentage of respondents who report saving money using a mobile money account, (% age 15+)
Source: Global Findex Database
Saved money using a mobile money account, women (% age 15+)
Definition: The percentage of respondents who report saving money using a mobile money account, women (% age 15+)
Source: Global Findex Database
Saved money using a mobile money account, men (% age 15+)
Definition: The percentage of respondents who report saving money using a mobile money account, men (% age 15+)
Source: Global Findex Database
Saved using a savings club or a person outside the family (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money in the past year by using an informal savings club or a person outside the family, (% age 15+)
Source: Global Findex Database
Saved using a savings club or a person outside the family, women (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money in the past year by using an informal savings club or a person outside the family, women (% age 15+)
Source: Global Findex Database
Saved using a savings club or a person outside the family, men (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money in the past year by using an informal savings club or a person outside the family, men (% age 15+)
Source: Global Findex Database
Saved or set aside money into an account, monthly (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money in the past year on monthly basis using an account, (% age 15+)
Source: Global Findex Database
Saved or set aside money into an account, monthly, women (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money in the past year on monthly basis using an account, women (% age 15+)
Source: Global Findex Database
Saved or set aside money into an account, monthly, men (% age 15+)
Definition: The percentage of respondents who report saving or setting aside any money in the past year on monthly basis using an account, men (% age 15+)
Source: Global Findex Database
Saved any money (% age 15+)
Definition: The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, (% age 15+)
Source: Global Findex Database
Saved any money, women (% age 15+)
Definition: The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, women (% age 15+)
Source: Global Findex Database
Saved any money, men (% age 15+)
Definition: The percentage of respondents who report personally saving or setting aside any money for any reason and using any mode of saving in the past year, men (% age 15+)
Source: Global Findex Database
The "Sent domestic remittances (% age 15+)" indicator page provides information on the following indicators:
Sent domestic remittances (% age 15+)
Definition: The percentage of respondents who report personally sending any of their money in the past year to a relative or friend living in a different area of their country. This can be money they hand-delivered personally or sent in some other way, (% age 15+)
Source: Global Findex Database
Sent domestic remittances, women (% age 15+)
Definition: The percentage of respondents who report personally sending any of their money in the past year to a relative or friend living in a different area of their country. This can be money they hand-delivered personally or sent in some other way, women (% age 15+)
Source: Global Findex Database
Sent domestic remittances, men (% age 15+)
Definition: The percentage of respondents who report personally sending any of their money in the past year to a relative or friend living in a different area of their country. This can be money they hand-delivered personally or sent in some other way, men (% age 15+)
Source: Global Findex Database
Sent domestic remittances: using an account (% age 15+)
Definition: The percentage of respondents who report personally sending any of their money in the past year to a relative or friend living in a different area of their country, and sent it using a bank or similar financial institution account or a mobile money account, (% age 15+)
Source: Global Findex Database
Sent domestic remittances: using an account, women (% age 15+)
Definition: The percentage of respondents who report personally sending any of their money in the past year to a relative or friend living in a different area of their country, and sent it using a bank or similar financial institution account or a mobile money account, women (% age 15+)
Source: Global Findex Database
Sent domestic remittances: using an account, men (% age 15+)
Definition: The percentage of respondents who report personally sending any of their money in the past year to a relative or friend living in a different area of their country, and sent it using a bank or similar financial institution account or a mobile money account, men (% age 15+)
Source: Global Findex Database
Sent or received domestic remittances (% age 15+)
Definition: The percentage of respondents who report personally sending or receiving any of their money in the past year to or from a relative or friend living in a different area of their country, (% age 15+)
Source: Global Findex Database
Sent or received domestic remittances, women (% age 15+)
Definition: The percentage of respondents who report personally sending or receiving any of their money in the past year to or from a relative or friend living in a different area of their country, women (% age 15+)
Source: Global Findex Database
Sent or received domestic remittances, men (% age 15+)
Definition: The percentage of respondents who report personally sending or receiving any of their money in the past year to or from a relative or friend living in a different area of their country, men (% age 15+)
Source: Global Findex Database
Sent or received domestic remittances: using an account (% age 15+)
Definition: The percentage of respondents who report personally sending or receiving any of their money in the past year to or from a relative or friend living in a different area of their country, and sent or received the money using a bank or similar financial institution account or a mobile money account, (% age 15+)
Source: Global Findex Database
Sent or received domestic remittances: using an account, women (% age 15+)
Definition: The percentage of respondents who report personally sending or receiving any of their money in the past year to or from a relative or friend living in a different area of their country, and sent or received the money using a bank or similar financial institution account or a mobile money account, women (% age 15+)
Source: Global Findex Database
Sent or received domestic remittances: using an account, men (% age 15+)
Definition: The percentage of respondents who report personally sending or receiving any of their money in the past year to or from a relative or friend living in a different area of their country, and sent or received the money using a bank or similar financial institution account or a mobile money account, men (% age 15+)
Source: Global Findex Database
Received domestic remittances (% age 15+)
Definition: The percentage of respondents who report personally receiving any money in the past year from a relative or friend living in a different area of their country. This includes any money received in-person, (% age 15+)
Source: Global Findex Database
Received domestic remittances, women (% age 15+)
Definition: The percentage of respondents who report personally receiving any money in the past year from a relative or friend living in a different area of their country. This includes any money received in-person, women (% age 15+)
Source: Global Findex Database
Received domestic remittances, men (% age 15+)
Definition: The percentage of respondents who report personally receiving any money in the past year from a relative or friend living in a different area of their country. This includes any money received in-person, men (% age 15+)
Source: Global Findex Database
Received domestic remittances: into an account (% age 15+)
Definition: The percentage of respondents who report personally receiving any money in the past year from a relative or friend living in a different area of their country, and received it into a bank or similar financial institution account or a mobile money account, (% age 15+)
Source: Global Findex Database
Received domestic remittances: into an account, women (% age 15+)
Definition: The percentage of respondents who report personally receiving any money in the past year from a relative or friend living in a different area of their country, and received it into a bank or similar financial institution account or a mobile money account, women (% age 15+)
Source: Global Findex Database
Received domestic remittances: into an account, men (% age 15+)
Definition: The percentage of respondents who report personally receiving any money in the past year from a relative or friend living in a different area of their country, and received it into a bank or similar financial institution account or a mobile money account, men (% age 15+)
Source: Global Findex Database
Received international remittances (% age 15+)
Definition: The percentage of respondents who report they recieved international remittances in the past year, (% age 15+)
Source: Global Findex Database
Received international remittances , women (% age 15+)
Definition: The percentage of respondents who report they recieved international remittances in the past year, women (% age 15+)
Source: Global Findex Database
Received international remittances , men (% age 15+)
Definition: The percentage of respondents who report they recieved international remittances in the past year, men (% age 15+)
Source: Global Findex Database
The "Store money in account (% age 15+)" indicator page provides information on the following indicators:
Store money in account (% age 15+)
Definition: The percentage of respondents who report keeping money in their bank or similar financial institution account, (% age 15+)
Source: Global Findex Database
Store money in account, women (% age 15+)
Definition: The percentage of respondents who report keeping money in their bank or similar financial institution account, women (% age 15+)
Source: Global Findex Database
Store money in account, men (% age 15+)
Definition: The percentage of respondents who report keeping money in their bank or similar financial institution account, men (% age 15+)
Source: Global Findex Database
The "Time that can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income (% of total population, age 15+)" indicator page provides information on the following indicators:
Less than two weeks can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income (% age 15+)
Definition: The percentage of respondents who report they could cover expenses by using savings, borrowing, selling something they own, seeking help from family and friends or through some other way for less than two weeks, in case they their household lost its main source of income, (% age 15+)
Source: Global Findex Database
Less than two weeks can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, women (% age 15+)
Definition: The percentage of respondents who report they could cover expenses by using savings, borrowing, selling something they own, seeking help from family and friends or through some other way for less than two weeks, in case they their household lost its main source of income, women (% age 15+)
Source: Global Findex Database
Less than two weeks can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, men (% age 15+)
Definition: The percentage of respondents who report they could cover expenses by using savings, borrowing, selling something they own, seeking help from family and friends or through some other way for less than two weeks, in case they their household lost its main source of income, men (% age 15+)
Source: Global Findex Database
About one month can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income (% age 15+)
Definition: The percentage of respondents who report they could cover expenses by using savings, borrowing, selling something they own, seeking help from family and friends or through some other way for about one month, in case they their household lost its main source of income, (% age 15+)
Source: Global Findex Database
About one month can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, women (% age 15+)
Definition: The percentage of respondents who report they could cover expenses by using savings, borrowing, selling something they own, seeking help from family and friends or through some other way for about one month, in case they their household lost its main source of income, women (% age 15+)
Source: Global Findex Database
About one month can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, men (% age 15+)
Definition: The percentage of respondents who report they could cover expenses by using savings, borrowing, selling something they own, seeking help from family and friends or through some other way for about one month, in case they their household lost its main source of income, men (% age 15+)
Source: Global Findex Database
About two months can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income (% age 15+)
Definition: The percentage of respondents who report they could cover expenses by using savings, borrowing, selling something they own, seeking help from family and friends or through some other way for about two months, in case they their household lost its main source of income, (% age 15+)
Source: Global Findex Database
About two months can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, women (% age 15+)
Definition: The percentage of respondents who report they could cover expenses by using savings, borrowing, selling something they own, seeking help from family and friends or through some other way for about two months, in case they their household lost its main source of income, women (% age 15+)
Source: Global Findex Database
About two months can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, men (% age 15+)
Definition: The percentage of respondents who report they could cover expenses by using savings, borrowing, selling something they own, seeking help from family and friends or through some other way for about two months, in case they their household lost its main source of income, men (% age 15+)
Source: Global Findex Database
More than two months can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income (% age 15+)
Definition: The percentage of respondents who report they could cover expenses by using savings, borrowing, selling something they own, seeking help from family and friends or through some other way for more than two months, in case they their household lost its main source of income, (% age 15+)
Source: Global Findex Database
More than two months can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, women (% age 15+)
Definition: The percentage of respondents who report they could cover expenses by using savings, borrowing, selling something they own, seeking help from family and friends or through some other way for more than two months, in case they their household lost its main source of income, women (% age 15+)
Source: Global Findex Database
More than two months can be covered using savings, borrowing, selling something, seeking help from friends and family, or other ways, in case household loses its main source of income, men (% age 15+)
Definition: The percentage of respondents who report they could cover expenses by using savings, borrowing, selling something they own, seeking help from family and friends or through some other way for more than two months, in case they their household lost its main source of income, men (% age 15+)
Source: Global Findex Database
The "Used a card or mobile phone to make payments (% age 15+)" indicator page provides information on the following indicators:
Used a card or mobile phone to make payments (% age 15+)
Definition: The percentage of respondents who report they used a card or a mobile phone to make payments, buy things, or to send or receive money using your account, (% age 15+)
Source: Global Findex Database
Used a card or mobile phone to make payments, women (% age 15+)
Definition: The percentage of respondents who report they used a card or a mobile phone to make payments, buy things, or to send or receive money using your account, women (% age 15+)
Source: Global Findex Database
Used a card or mobile phone to make payments, men (% age 15+)
Definition: The percentage of respondents who report they used a card or a mobile phone to make payments, buy things, or to send or receive money using your account, men (% age 15+)
Source: Global Findex Database
The "Used a credit card (% age 15+)" indicator page provides information on the following indicators:
Used a credit card (% age 15+)
Definition: The percentage of respondents who report using their own credit card in the past year, (% age 15+)
Source: Global Findex Database
Used a credit card, women (% age 15+)
Definition: The percentage of respondents who report using their own credit card in the past year, women (% age 15+)
Source: Global Findex Database
Used a credit card, men (% age 15+)
Definition: The percentage of respondents who report using their own credit card in the past year, men (% age 15+)
Source: Global Findex Database
The "Used a mobile phone or the internet to buy something online (% age 15+)" indicator page provides information on the following indicators:
Used a mobile phone or the internet to buy something online (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to buy something online in the past year, (% age 15+)
Source: Global Findex Database
Used a mobile phone or the internet to buy something online, women (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to buy something online in the past year, women (% age 15+)
Source: Global Findex Database
Used a mobile phone or the internet to buy something online, men (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to buy something online in the past year, men (% age 15+)
Source: Global Findex Database
The "Used a mobile phone or the internet to pay bills (% age 15+)" indicator page provides information on the following indicators:
Used a mobile phone or the internet to pay bills (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to pay bills in the past year, (% age 15+)
Source: Global Findex Database
Used a mobile phone or the internet to pay bills, women (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to pay bills in the past year, women (% age 15+)
Source: Global Findex Database
Used a mobile phone or the internet to pay bills, men (% age 15+)
Definition: The percentage of respondents who report using a mobile phone or the internet to pay bills in the past year, men (% age 15+)
Source: Global Findex Database
The "Borrowed to start or operate a business (% age 15+)" indicator page provides information on the following indicators:
Borrowed to start or operate a business (% age 15+)
Definition: The percentage of respondents who report borrowing any money to start or operate a business in the past year, (% age 15+)
Source: Global Findex Database
Borrowed to start or operate a business, women (% age 15+)
Definition: The percentage of respondents who report borrowing any money to start or operate a business in the past year, women (% age 15+)
Source: Global Findex Database
Borrowed to start or operate a business, men (% age 15+)
Definition: The percentage of respondents who report borrowing any money to start or operate a business in the past year, men (% age 15+)
Source: Global Findex Database
The "Cost of business start-up procedures (% of GNI per capita)" indicator page provides information on the following indicators:
Cost of business start-up procedures, female (% of GNI per capita)
Definition: Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.
Source: World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
Cost of business start-up procedures, male (% of GNI per capita)
Definition: Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.
Source: World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
Cost of business start-up procedures (% of GNI per capita)
Definition: Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.
Source: World Bank, Doing Business project (http://www.doingbusiness.org/).
The "Entrepreneurship Topic (Women, Business and the Law)" indicator page provides information on the following indicators:
WBL: Legal Framework, Entrepreneurship, Score (scale 0-100)
Definition: The Entrepreneurship topic legal framework score measures legal constraints to a woman’s ability to start and run a business and assesses the existence of enabling provisions, including non-discrimination in access to credit provisions, gender-responsive criteria in public procurement laws, and binding quotas for women on public corporate boards. It is divided into four indicators, some of which consist of several questions. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Entrepreneurship, The law allows a woman to undertake entrepreneurial activities in the same way as a man
Definition: The indicator assesses whether the law allows a woman to undertake entrepreneurial activities in the same way as a man, including the ability to sign contracts, register a business, and operate a business without legal restrictions based on gender. Score = 1 if women have the same legal capacity as men to undertake all entrepreneurial activities; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Entrepreneurship, The law includes gender-responsive procurement provisions for public procurement processes
Definition: The indicator assesses whether the law includes gender-responsive provisions in public procurement processes. Score = 1 if gender-responsive procurement provisions are established in law; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Entrepreneurship, The law prescribes a gender quota for corporate boards
Definition: The indicator assesses whether the law prescribes a mandatory gender quota for corporate boards. Score = 1 if the quota is 40% or higher; score = 0.5 if the quota is below 40% but greater than 0%, or if the law requires at least one woman on the board; score = 0 if there is no mandatory quota. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Legal Framework, Entrepreneurship, The law prohibits discrimination in access to credit based on gender
Definition: The indicator assesses whether the law: (1) explicitly prohibits gender-based discrimination in access to financial services, credit, or loans; (OR) the law prescribes equal access for both women and men to financial products or services; AND (2) if the specific provision on nondiscrimination in access to credit is regulated in a central bank regulation or circular, it must be legally binding; AND (3) the legally binding instruments are accompanied by effective remedies after violation of the principle.
Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Entrepreneurship, Score (scale 0-100)
Definition: The Entrepreneurship topic supportive framework score examines policies and practices that support female entrepreneurship, including the availability of regularly published sex-disaggregated data on women’s business activities, government-led programs or national strategies to facilitate women’s access to financial services, and government-led programs to support women entrepreneurs. It is divided into four indicators, some of which consist of several questions. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details on underlying questions and scoring assumptions, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Entrepreneurship, The government publishes anonymized sex-disaggregated data on women-owned or women-led businesses and on women in leadership positions
Definition: The indicator assesses whether the government publishes anonymized sex-disaggregated data on: (1) women-owned or women-led businesses; (2) women in corporate leadership positions. Partial score of 0.5 is assigned to each of the three underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Entrepreneurship, There are government-led programs supporting female entrepreneurs with training or business development
Definition: The indicator assesses whether: (1) there is at least one program administered or at least partially funded by a public entity that provides support in any of the following areas: technical or soft skill training, mentoring, or coaching opportunities, business development such as business training, advisory services, technology transfer, business incubation, or business formalization services; AND (2) the program was active during the reporting cycle; AND (3) the program explicitly mentions women and/or female entrepreneurs as part of the target audience. Score = 1 if all three conditions are met; otherwise, score = 0. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Entrepreneurship, There are government-led services on increasing access to financial services or resources available for women and female entrepreneurs
Definition: The indicator assesses whether: (1) there is a national financial inclusion strategy or a national strategy with a dedicated section focusing on women’s financial inclusion; (2) the government provides programs on access to financial services or resources to women or female entrepreneurs.
Partial score of 0.5 is assigned to each of the three underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Supportive Framework, Entrepreneurship, There is a comprehensive framework to support women entrepreneurs, women-owned or women-led businesses
Definition: The indicator assesses whether: (1) there is a plan or strategy supporting female entrepreneurs; (2) the plan or strategy that supports female entrepreneurs provide for specific targets and indicators; (3) the plan or strategy that supports female entrepreneurs provide for monitoring and evaluation mechanisms; (3) there is an agency supporting female entrepreneurs; (4) there is a nationally applicable definition on what constitutes a women-owned business or women-led business.
Partial score of 0.2 is assigned to each of the three underlying components realized. The total indicator score is the sum of component scores, capped at 1. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf)
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Entrepreneurship, Score (scale 0–100)
Definition: The Entrepreneurship topic enforcement perception score measures the extent to which laws on women’s ability to establish and run a business are enforced in practice or the consequent rights are upheld in practice. It is calculated as the unweighted average of the indicator scores in the topic and rescaled to a 0–100 scale, where 0 represents the lowest possible score and 100 the highest possible score. For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Entrepreneurship, Public authorities enforce a woman's right to undertake entrepreneurial activities in the same way as a man
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce a woman's right to undertake entrepreneurial activities in the same way as a man in practice.Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level scores are calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) for each indicator at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied, as described in detail in the enforcement perceptions scoring sections in the relevant topic chapters.
For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Entrepreneurship, Public authorities enforce existing legislation including gender-responsive procurement provisions for public procurement processes
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation including gender-responsive procurement provisions for public procurement processes in practice.Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level scores are calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) for each indicator at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied, as described in detail in the enforcement perceptions scoring sections in the relevant topic chapters.
For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Entrepreneurship, Public authorities enforce existing legislation prescribing gender quotas for corporate boards
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation prescribing gender quotas for corporate boards in practice.Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level scores are calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) for each indicator at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied, as described in detail in the enforcement perceptions scoring sections in the relevant topic chapters.
For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
WBL: Enforcement Perceptions, Entrepreneurship, Public authorities enforce existing legislation that prohibits gender-based discrimination in access to credit
Definition: The indicator assesses expert perceptions of the extent to which public authorities enforce existing legislation that prohibits gender-based discrimination in access to credit in practice.Experts rate enforcement on a five-point Likert scale (0–4), where 0 indicates no enforcement of protective or beneficial laws, no upholding of women’s rights, or full enforcement of restrictive laws, and 4 indicates full enforcement of protective or beneficial laws, the full upholding of women’s rights, or no enforcement of restrictive laws.
Enforcement perceptions indicator-level scores are calculated by taking the median value of individual expert responses on the five-point Likert scale (0–4) for each indicator at the economy level. For indicators that correspond to a partially scored legal frameworks indicator, a weighted approach is applied, as described in detail in the enforcement perceptions scoring sections in the relevant topic chapters.
For details, please refer to the WBL Methodology Handbook (link: https://wbl.worldbank.org/content/dam/sites/wbl/documents/2026/WBL-Methodology-Handbook-2026-FINAL.pdf).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Firms with female participation in ownership (% of firms)" indicator page provides information on the following indicators:
Firms with female participation in ownership (% of firms)
Definition: Percentage of firms with females among the owners.
Source: Enterprise Surveys, World Bank (WB), uri: https://www.enterprisesurveys.org/en/data
The "Firms with female top manager (% of firms)" indicator page provides information on the following indicators:
Firms with female top manager (% of firms)
Definition: Percentage of firms with females as the top manager.
Source: Enterprise Surveys, World Bank (WB), uri: https://www.enterprisesurveys.org/en/data
The "Number of business owners" indicator page provides information on the following indicators:
Number of female business owners
Definition: Number of female business owners is the number of female individuals that own at least one share of a limited liability company that was newly registered in the calendar year.
Source: World Bank's Entrepreneurship Survey and database (https://www.worldbank.org/en/programs/entrepreneurship). Downloaded on May 2, 2026.
Number of male business owners
Definition: Number of male business owners is the number of male individuals that own at least one share of a limited liability company that was newly registered in the calendar year.
Source: World Bank's Entrepreneurship Survey and database (https://www.worldbank.org/en/programs/entrepreneurship). Downloaded on May 2, 2026.
The "Number of directors" indicator page provides information on the following indicators:
Number of female directors
Definition: Number of female directors is the number of female individuals who conduct the affairs of newly registered limited liability companies in the calendar year.
Source: World Bank's Entrepreneurship Survey and database (https://www.worldbank.org/en/programs/entrepreneurship). Downloaded on May 2, 2026.
Number of male directors
Definition: Number of male directors is the number of female individuals who conduct the affairs of newly registered limited liability companies in the calendar year.
Source: World Bank's Entrepreneurship Survey and database (https://www.worldbank.org/en/programs/entrepreneurship). Downloaded on May 2, 2026.
The "Number of sole proprietors" indicator page provides information on the following indicators:
Number of female sole proprietors
Definition: Number of female sole proprietors is the number of newly registered sole proprietors owned by female individuals in the calendar year. A sole proprietorship is a business entity owned and managed by a single individual who is indistinguishable from the business and personally liable.
Source: World Bank's Entrepreneurship Survey and database (https://www.worldbank.org/en/programs/entrepreneurship). Downloaded on May 2, 2026.
Number of male sole proprietors
Definition: Number of male sole proprietors is the number of newly registered sole proprietors owned by female individuals in the calendar year. A sole proprietorship is a business entity owned and managed by a single individual who is indistinguishable from the business and personally liable.
Source: World Bank's Entrepreneurship Survey and database (https://www.worldbank.org/en/programs/entrepreneurship). Downloaded on May 2, 2026.
The "Share of business owners (% of total business owners)" indicator page provides information on the following indicators:
Share of female business owners (% of total business owners)
Definition: Share of female business is the proportion of female newly registered limited liability company owners out of the total number of newly registered limited liability company owners in the economy in the calendar year.
Source: World Bank's Entrepreneurship Survey and database (https://www.worldbank.org/en/programs/entrepreneurship). Downloaded on May 2, 2026.
Share of male business owners (% of total business owners)
Definition: Share of male business is the proportion of male newly registered limited liability company owners out of the total number of newly registered limited liability company owners in the economy in the calendar year.
Source: World Bank's Entrepreneurship Survey and database (https://www.worldbank.org/en/programs/entrepreneurship). Downloaded on May 2, 2026.
The "Share of directors (% of total directors)" indicator page provides information on the following indicators:
Share of female directors (% of total directors)
Definition: Share of female directors is the proportion of female directors of newly registered limited liability companies out of the total number of directors of newly registered limited liability companies in the economy in the calendar year. A director is defined as an individual who conducts the affairs of newly registered limited liability companies in the calendar year.
Source: World Bank's Entrepreneurship Survey and database (https://www.worldbank.org/en/programs/entrepreneurship). Downloaded on May 2, 2026.
Share of male directors (% of total directors)
Definition: Share of male directors is the proportion of male directors of newly registered limited liability companies out of the total number of directors of newly registered limited liability companies in the economy in the calendar year. A director is defined as an individual who conducts the affairs of newly registered limited liability companies in the calendar year.
Source: World Bank's Entrepreneurship Survey and database (https://www.worldbank.org/en/programs/entrepreneurship). Downloaded on May 2, 2026.
The "Share of sole proprietors (% of sole proprietors)" indicator page provides information on the following indicators:
Share of female sole proprietors (% of sole proprietors)
Definition: Share of female sole proprietors is the proportion of female newly registered sole proprietors out of the total number of newly registered sole proprietors in the economy in the calendar year. A sole proprietorship is a business entity owned and managed by a single individual who is indistinguishable from the business and personally liable.
Source: World Bank's Entrepreneurship Survey and database (https://www.worldbank.org/en/programs/entrepreneurship). Downloaded on May 2, 2026.
Share of male sole proprietors (% of sole proprietors)
Definition: Share of male sole proprietors is the proportion of male newly registered sole proprietors out of the total number of newly registered sole proprietors in the economy in the calendar year. A sole proprietorship is a business entity owned and managed by a single individual who is indistinguishable from the business and personally liable.
Source: World Bank's Entrepreneurship Survey and database (https://www.worldbank.org/en/programs/entrepreneurship). Downloaded on May 2, 2026.
The "Start-up procedures to register a business (number)" indicator page provides information on the following indicators:
Start-up procedures to register a business, female (number)
Definition: Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.
Source: World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
Start-up procedures to register a business, male (number)
Definition: Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.
Source: World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
Start-up procedures to register a business (number)
Definition: Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.
Source: World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
The "Time required to start a business (days)" indicator page provides information on the following indicators:
Time required to start a business, female (days)
Definition: Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.
Source: World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
Time required to start a business, male (days)
Definition: Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.
Source: World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
Time required to start a business (days)
Definition: Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.
Source: World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
The "Age dependency ratio (% of working-age population)" indicator page provides information on the following indicators:
Age dependency ratio (% of working-age population)
Definition: Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
The "Age population, interpolated" indicator page provides information on the following indicators:
Age population, age 00, female
Definition: Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Source: United Nations Population Division. World Population Prospects.
Age population, age 00, male
Definition: Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Source: United Nations Population Division. World Population Prospects.
Age population, age 01, female
Definition: Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Source: United Nations Population Division. World Population Prospects.
Age population, age 01, male
Definition: Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Source: United Nations Population Division. World Population Prospects.
Age population, age 02, female
Definition: Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Source: United Nations Population Division. World Population Prospects.
Age population, age 02, male
Definition: Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Source: United Nations Population Division. World Population Prospects.
Age population, age 03, female
Definition: Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Source: United Nations Population Division. World Population Prospects.
Age population, age 03, male
Definition: Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Source: United Nations Population Division. World Population Prospects.
Age population, age 04, female
Definition: Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Source: United Nations Population Division. World Population Prospects.
Age population, age 04, male
Definition: Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Source: United Nations Population Division. World Population Prospects.
Age population, age 05, female
Definition: Age population, female refers to female population at the specified age level. The geographical areas included in the data are the same as the data source.
Source: United Nations Population Division. World Population Prospects.
Age population, age 05, male
Definition: Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.
Source: United Nations Population Division. World Population Prospects.
The "Birth rate, crude (per 1,000 people)" indicator page provides information on the following indicators:
Birth rate, crude (per 1,000 people)
Definition: Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs);
Demographic Statistics, Eurostat (ESTAT);
Population and Vital Statistics Report (various years), United Nations (UN), publisher: UN Statistical Division
The "Completeness of birth registration (%)" indicator page provides information on the following indicators:
Completeness of birth registration, female (%)
Definition: Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
Source: Household surveys, UN Children's Fund (UNICEF), note: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
Completeness of birth registration, male (%)
Definition: Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
Source: Household surveys, UN Children's Fund (UNICEF), note: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
Completeness of birth registration (%)
Definition: Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.
Source: Household surveys, UN Children's Fund (UNICEF), note: Household surveys such as Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by UNICEF.
The "Female headed households (% of households)" indicator page provides information on the following indicators:
Female headed households (% of households)
Definition: Female headed households refers to the percentage of households that are headed by females.
Source: DHS API, Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: HC_HHHD_H_FEM; Indicator name from the original source: Female-headed households, publisher: DHS Program (ICF), type: API, date accessed: 2024-06-14
The "Female migrants (% of international migrant stock)" indicator page provides information on the following indicators:
Female migrants (% of international migrant stock)
Definition: Percentage of female migrants out of total international migrant stock. International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees.
Source: United Nations Population Division, Trends in International Migrant Stock: 2020 Revision. Data downloaded as of December 6, 2024.
The "Fertility rate, total (births per woman)" indicator page provides information on the following indicators:
Fertility rate, total (births per woman)
Definition: Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs);
Demographic Statistics, Eurostat (ESTAT)
The "Life expectancy at age 60 (years)" indicator page provides information on the following indicators:
Life expectancy at age 60, female
Definition: Life expectancy at age 60, female is the average number of years that a female at age 60 would live if prevailing patterns of mortality at the time of age 60 were to stay the same throughout her life.
Source: 2022 World Population Prospects, United Nations Population Division: Retrieved August 31, 2023.
Life expectancy at age 60, male
Definition: Life expectancy at age 60, male is the average number of years that a male at age 60 would live if prevailing patterns of mortality at the time of age 60 were to stay the same throughout his life.
Source: 2022 World Population Prospects, United Nations Population Division: Retrieved August 31, 2023.
The "Life expectancy at birth, total (years)" indicator page provides information on the following indicators:
Life expectancy at birth, female (years)
Definition: Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs);
Demographic Statistics, Eurostat (ESTAT)
Life expectancy at birth, male (years)
Definition: Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs);
Demographic Statistics, Eurostat (ESTAT)
Life expectancy at birth, total (years)
Definition: Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
Source: World Population Prospects, United Nations (UN), uri: UN Population Division;
Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs), note: Derived from male and female life expectancy at birth from sources such as statistical databases and publications from national statistical offices.;
Demographic Statistics, Eurostat (ESTAT), note: Derived from male and female life expectancy at birth from sources such as Eurostat: Demographic Statistics.
The "Mean age at first marriage" indicator page provides information on the following indicators:
Mean age at first marriage, female
Definition: Mean age at marriage, female shows the average length of single life expressed in years among those females who marry before age 50. It is a synthetic indicator calculated from marital status categories of men and women aged 15 to 54 at the census or survey date.
Source: United Nations, Department of Economic and Social Affairs, Population Division. World Marriage Data 2019.
Mean age at first marriage, male
Definition: Mean age at marriage, male shows the average length of single life expressed in years among those males who marry before age 50. It is a synthetic indicator calculated from marital status categories of men and women aged 15 to 54 at the census or survey date.
Source: United Nations, Department of Economic and Social Affairs, Population Division. World Marriage Data.
The "Population (age group as % of total population)" indicator page provides information on the following indicators:
Population ages 0-14 (% of total population)
Definition: Population between the ages 0 to 14 as a percentage of the total population. Population is based on the de facto definition of population.
Source: United Nations Population Division. World Population Prospects., United Nations Population Division, uri: https://population.un.org/wpp/, publisher: United Nations Population Division
Population ages 15-64 (% of total population)
Definition: Total population between the ages 15 to 64 as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division
Population ages 65 and above (% of total population)
Definition: Population ages 65 and above as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division
The "Population (number)" indicator page provides information on the following indicators:
Population, female
Definition: Female population is based on the de facto definition of population, which counts all female residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population, male
Definition: Male population is based on the de facto definition of population, which counts all male residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population, total
Definition: Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.
Source: World Population Prospects, United Nations (UN), uri: https://population.un.org/wpp/, publisher: UN Population Division;
Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs), uri: https://unstats.un.org/home/nso_sites/, publisher: National Statistical Offices;
Eurostat: Demographic Statistics, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/data/database?node_code=earn_ses_monthly, publisher: Eurostat;
Population and Vital Statistics Report (various years), United Nations (UN), uri: https://unstats.un.org, publisher: UN Statistics Division
Population ages 0-14, female
Definition: Female population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 0-14, male
Definition: Male population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 0-14, total
Definition: Total population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: Staff estimates, World Bank (WB), note: Staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects., publisher: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's data.;
World Population Prospects, United Nations (UN), publisher: UN Population Division
Population ages 15-64, female
Definition: Female population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 15-64, male
Definition: Male population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 15-64, total
Definition: Total population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 65 and above, female
Definition: Female population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 65 and above, male
Definition: Male population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 65 and above, total
Definition: Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB)
Population ages 00-04, female
Definition: Female population between the ages 0 to 4.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 00-04, male
Definition: Male population between the ages 0 to 4.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 05-09, female
Definition: Female population between the ages 5 to 9.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 05-09, male
Definition: Male population between the ages 5 to 9.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 10-14, female
Definition: Female population between the ages 10 to 14.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 10-14, male
Definition: Male population between the ages 10 to 14.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 15-19, female
Definition: Female population between the ages 15 to 19.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 15-19, male
Definition: Male population between the ages 15 to 19.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 20-24, female
Definition: Female population between the ages 20 to 24.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 20-24, male
Definition: Male population between the ages 20 to 24.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 25-29, female
Definition: Female population between the ages 25 to 29.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 25-29, male
Definition: Male population between the ages 25 to 29.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 30-34, female
Definition: Female population between the ages 30 to 34.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 30-34, male
Definition: Male population between the ages 30 to 34.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 35-39, female
Definition: Female population between the ages 35 to 39.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 35-39, male
Definition: Male population between the ages 35 to 39.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 40-44, female
Definition: Female population between the ages 40 to 44.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 40-44, male
Definition: Male population between the ages 40 to 44.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 45-49, female
Definition: Female population between the ages 45 to 49.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 45-49, male
Definition: Male population between the ages 45 to 49.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 50-54, female
Definition: Female population between the ages 50 to 54.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 50-54, male
Definition: Male population between the ages 50 to 54.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 55-59, female
Definition: Female population between the ages 55 to 59.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 55-59, male
Definition: Male population between the ages 55 to 59.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 60-64, female
Definition: Female population between the ages 60 to 64.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 60-64, male
Definition: Male population between the ages 60 to 64.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 65-69, female
Definition: Female population between the ages 65 to 69.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 65-69, male
Definition: Male population between the ages 65 to 69.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 70-74, female
Definition: Female population between the ages 70 to 74.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 70-74, male
Definition: Male population between the ages 70 to 74.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 75-79, female
Definition: Female population between the ages 75 to 79.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 75-79, male
Definition: Male population between the ages 75 to 79.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 80 and above, female
Definition: Female population between the ages 80 and above.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
Population ages 80 and above, male
Definition: Male population between the ages 80 and above.
Source: World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects.
The "Population, female (% of total population)" indicator page provides information on the following indicators:
Population, female (% of total population)
Definition: Female population is the percentage of the population that is female. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division;
Staff estimates, World Bank (WB), note: World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2022 Revision
The "Rural population (% of total population)" indicator page provides information on the following indicators:
Rural population, female (% of total)
Definition: Female rural population is the percentage of females who live in rural areas to total population.
Source: The United Nations Population Division's World Urbanization Prospects.
Rural population, male (% of total)
Definition: Male rural population is the percentage males who live in rural areas to total population.
Source: The United Nations Population Division's World Urbanization Prospects.
Rural population (% of total population)
Definition: Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.
Source: World Urbanization Prospects, United Nations (UN), uri: https://population.un.org/wup/, note: World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects, National definitions, publisher: UN Population Division;
Staff estimates, World Bank (WB), note: World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects, National definitions
The "Sex ratio at birth (male births per female births)" indicator page provides information on the following indicators:
Sex ratio at birth (male births per female births)
Definition: Sex ratio at birth refers to male births per female births.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division
The "Urban population (% of total population)" indicator page provides information on the following indicators:
Urban population, female (% of total)
Definition: Female urban population is the percentage of females who live in urban areas to total population.
Source: The United Nations Population Division's World Urbanization Prospects.
Urban population, male (% of total)
Definition: Male urban population is the percentage of males who live in urban areas to total population.
Source: The United Nations Population Division's World Urbanization Prospects.
Urban population (% of total population)
Definition: Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.
Source: World Urbanization Prospects, United Nations (UN), uri: https://population.un.org/wup/, note: United Nations Population Division's World Urbanization Prospects, National definitions, publisher: UN Population Division
The "Consequence of natural disaster in the past three years (% of total population, age 15+)" indicator page provides information on the following indicators:
Natural disaster in the past three years: Income lost or unable to work, by self or household member (% age 15+)
Definition: The percentage of respondents who report they or someone in their household lost income or were unable to work as a result of natural disasters or severe weather events in the past three years, (% age 15+)
Source: Global Findex Database
Natural disaster in the past three years: Income lost or unable to work, by self or household member, women (% age 15+)
Definition: The percentage of respondents who report they or someone in their household lost income or were unable to work as a result of natural disasters or severe weather events in the past three years, women (% age 15+)
Source: Global Findex Database
Natural disaster in the past three years: Income lost or unable to work, by self or household member, men (% age 15+)
Definition: The percentage of respondents who report they or someone in their household lost income or were unable to work as a result of natural disasters or severe weather events in the past three years, men (% age 15+)
Source: Global Findex Database
Natural disaster in the past three years: Damage to home or livestock (% age 15+)
Definition: The percentage of respondents who report they experienced damage to their home or livestock as a result of natural disasters or severe weather events in the past three years, (% age 15+)
Source: Global Findex Database
Natural disaster in the past three years: Damage to home or livestock, women (% age 15+)
Definition: The percentage of respondents who report they experienced damage to their home or livestock as a result of natural disasters or severe weather events in the past three years, women (% age 15+)
Source: Global Findex Database
Natural disaster in the past three years: Damage to home or livestock, men (% age 15+)
Definition: The percentage of respondents who report they experienced damage to their home or livestock as a result of natural disasters or severe weather events in the past three years, men (% age 15+)
Source: Global Findex Database
The "Experienced a natural disaster or severe weather event (% age 15+)" indicator page provides information on the following indicators:
Experienced a natural disaster or severe weather event (% age 15+)
Definition: The percentage of respondents who report they personally experienced a natural disaster or severe weather event in the past three years, (% age 15+)
Source: Global Findex Database
Experienced a natural disaster or severe weather event, women (% age 15+)
Definition: The percentage of respondents who report they personally experienced a natural disaster or severe weather event in the past three years, women (% age 15+)
Source: Global Findex Database
Experienced a natural disaster or severe weather event, men (% age 15+)
Definition: The percentage of respondents who report they personally experienced a natural disaster or severe weather event in the past three years, men (% age 15+)
Source: Global Findex Database
The "Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)" indicator page provides information on the following indicators:
Mortality rate attributed to household and ambient air pollution, age-standardized, female (per 100,000 female population)
Definition: Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality rate attributed to household and ambient air pollution, age-standardized, male (per 100,000 male population)
Definition: Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)
Definition: Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population)" indicator page provides information on the following indicators:
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene, female (per 100,000 female population)
Definition: Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene, male (per 100,000 male population)
Definition: Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population)
Definition: Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Share of graduates by field, female (%)" indicator page provides information on the following indicators:
Female share of graduates in agriculture (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in humanities and arts (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in education (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in engineering, manufacturing and construction (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in health and welfare (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in science (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Definition:
Source:
Female share of graduates in services (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in social science, business and law (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
Female share of graduates in unknown or unspecified fields (%, tertiary)
Definition: Female share of graduates in the given field of education, tertiary is the number of female graduates expressed as a percentage of the total number of graduates in the given field of education from tertiary education.
Source:
The "Women and girls who have private places to wash and change during menstrual period (% of women and girls ages 15-49 who had a menstrual period within the last year)" indicator page provides information on the following indicators:
Women and girls who have private places to wash and change during menstrual period (% of women and girls ages 15-49 who had a menstrual period within the last year)
Definition: The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who had a private place to wash their bodies and change their menstrual materials at home during their last menstrual period.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
Women and girls who have private places to wash and change during menstrual period, rural (% of women and girls ages 15-49 living in rural areas who had a menstrual period within the last year)
Definition: The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who had a private place to wash their bodies and change their menstrual materials at home during their last menstrual period.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
Women and girls who have private places to wash and change during menstrual period, urban (% of women and girls ages 15-49 living in urban areas who had a menstrual period within the last year)
Definition: The percentage of women and girls (ages 15-49 who had a menstrual period within the last year) who had a private place to wash their bodies and change their menstrual materials at home during their last menstrual period.
Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).
The "Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)" indicator page provides information on the following indicators:
Account, women (% age 15+)
Definition: The percentage of respondents who report having an account (by themselves or together with someone else) at a bank or similar financial institution (see the definition for "bank or similar financial institution account") or report personally using a mobile money service in the past year (see the definition for "mobile money account"), women (% age 15+)
Source: Global Findex Database
Account, men (% age 15+)
Definition: The percentage of respondents who report having an account (by themselves or together with someone else) at a bank or similar financial institution (see the definition for "bank or similar financial institution account") or report personally using a mobile money service in the past year (see the definition for "mobile money account"), men (% age 15+)
Source: Global Findex Database
Account (% age 15+)
Definition: The percentage of respondents who report having an account (by themselves or together with someone else) at a bank or similar financial institution (see the definition for "bank or similar financial institution account") or report personally using a mobile money service in the past year (see the definition for "mobile money account"), (% age 15+)
Source: Global Findex Database
The "Adolescent fertility rate (births per 1,000 women ages 15-19)" indicator page provides information on the following indicators:
Adolescent fertility rate (births per 1,000 women ages 15-19)
Definition: Adolescent fertility rate is the number of births per 1,000 women ages 15-19.
Source: World Population Prospects, United Nations (UN), publisher: UN Population Division
The "Births attended by skilled health staff (% of total)" indicator page provides information on the following indicators:
Births attended by skilled health staff (% of total)
Definition: Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.
Source: State of the World's Children, UN Children's Fund (UNICEF);
Childinfo, UN Children's Fund (UNICEF);
Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program
The "Cause of death (%)" indicator page provides information on the following indicators:
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, female (% of total female deaths)
Definition: Number of female deaths due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, male (% of total male deaths)
Definition: Number of male deaths due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)
Definition: Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, female (% of total female deaths)
Definition: Number of female deaths due to injury divided by number of all female deaths, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, male (% of total male deaths)
Definition: Number of male deaths ages due to injury divided by number of all male deaths ages, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury (% of total)
Definition: Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, female (% of total female deaths)
Definition: Number of female deaths due to non-communicable diseases divided by number of all female deaths, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, male (% of total male deaths)
Definition: Number of male deaths ages due to non-communicable diseases divided by number of all male deaths ages, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases (% of total)
Definition: Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, female (% of total female deaths ages 0-4)
Definition: Number of female deaths ages 0-4 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, male (% of total male deaths ages 0-4)
Definition: Number of male deaths ages 0-4 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4 (% of total deaths ages 0-4)
Definition: Number of deaths ages 0-4 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 0-4, female (% of total female deaths ages 0-4)
Definition: Number of female deaths ages 0-4 due to injury divided by number of all female deaths ages 0-4, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 0-4, male (% of total male deaths ages 0-4)
Definition: Number of male deaths ages 0-4 due to injury divided by number of all male deaths ages 0-4, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 0-4 (% of total deaths ages 0-4)
Definition: Number of deaths ages 0-4 due to injury divided by number of all deaths ages 0-4, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 0-4, female (% of total female deaths ages 0-4)
Definition: Number of female deaths ages 0-4 due to non-communicable diseases divided by number of all female deaths ages 0-4, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 0-4, male (% of total male deaths ages 0-4)
Definition: Number of male deaths ages 0-4 due to non-communicable diseases divided by number of all male deaths ages 0-4, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 0-4 (% of total deaths ages 0-4)
Definition: Number of deaths ages 0-4 due to non-communicable diseases divided by number of all deaths ages 0-4, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, female (% of total female deaths ages 5-14)
Definition: Number of female deaths ages 5-14 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 5-14, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, male (% of total male deaths ages 5-14)
Definition: Number of male deaths ages 5-14 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 5-14, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14 (% of total deaths ages 5-14)
Definition: Number of deaths ages 5-14 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 5-14, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 5-14, female (% of total female deaths ages 5-14)
Definition: Number of female deaths ages 5-14 due to injury divided by number of all female deaths ages 5-14, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 5-14, male (% of total male deaths ages 5-14)
Definition: Number of male deaths ages 5-14 due to injury divided by number of all male deaths ages 5-14, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 5-14 (% of total deaths ages 5-14)
Definition: Number of deaths ages 5-14 due to injury divided by number of all deaths ages 5-14, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 5-14, female (% of total female deaths ages 5-14)
Definition: Number of female deaths ages 5-14 due to non-communicable diseases divided by number of all female deaths ages 5-14, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 5-14, male (% of total male deaths ages 5-14)
Definition: Number of male deaths ages 5-14 due to non-communicable diseases divided by number of all male deaths ages 5-14, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 5-14 (% of total deaths ages 5-14)
Definition: Number of deaths ages 5-14 due to non-communicable diseases divided by number of all deaths ages 5-14, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, female (% of total female deaths ages 15-59)
Definition: Number of female deaths ages 15-59 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 15-59, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, male (% of total male deaths ages 15-59)
Definition: Number of male deaths ages 15-59 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 15-59, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59 (% of total deaths ages 15-59)
Definition: Number of deaths ages 15-59 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 15-59, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 15-59, female (% of total female deaths ages 15-59)
Definition: Number of female deaths ages 15-59 due to injury divided by number of all female deaths ages 15-59, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 15-59, male (% of total male deaths ages 15-59)
Definition: Number of male deaths ages 15-59 due to injury divided by number of all male deaths ages 15-59, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 15-59 (% of total deaths ages 15-59)
Definition: Number of deaths ages 15-59 due to injury divided by number of all deaths ages 15-59, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 15-59, female (% of total female deaths ages 15-59)
Definition: Number of female deaths ages 15-59 due to non-communicable diseases divided by number of all female deaths ages 15-59, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 15-59, male (% of total male deaths ages 15-59)
Definition: Number of male deaths ages 15-59 due to non-communicable diseases divided by number of all male deaths ages 15-59, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 15-59 (% of total deaths ages 15-59)
Definition: Number of deaths ages 15-59 due to non-communicable diseases divided by number of all deaths ages 15-59 expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, female (% of total female deaths ages 60+)
Definition: Number of female deaths ages 60+ due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 60+, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, male (% of total male deaths ages 60+)
Definition: Number of male deaths ages 60+ due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all male deaths ages 60+, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+ (% of total deaths ages 60+)
Definition: Number of deaths ages 60+ due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all deaths ages 60+, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 60+, female (% of total female deaths ages 60+)
Definition: Number of female deaths ages 60+ due to injury divided by number of all female deaths ages 60+, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 60+, male (% of total male deaths ages 60+)
Definition: Number of male deaths ages 60+ due to injury divided by number of all male deaths ages 60+, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by injury, ages 60+ (% of total deaths ages 60+)
Definition: Number of deaths ages 60+ due to injury divided by number of all deaths ages 60+, expressed by percentage. Injury includes unintentional and intentional injuries.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 60+, female (% of total female deaths ages 60+)
Definition: Number of female deaths ages 60+ due to non-communicable diseases divided by number of all female deaths ages 60+, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 60+, male (% of total male deaths ages 60+)
Definition: Number of male deaths ages 60+ due to non-communicable diseases divided by number of all male deaths ages 60+, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
Cause of death, by non-communicable diseases, ages 60+ (% of total deaths ages 60+)
Definition: Number of deaths ages 60+ due to non-communicable diseases divided by number of all deaths ages 60+, expressed by percentage. Non-Communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.
Source: Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021
The "Demand for family planning satisfied (% of married women with demand for family planning)" indicator page provides information on the following indicators:
Demand for family planning satisfied by any methods (% of married women with demand for family planning)
Definition: Demand for family planning satisfied by any methods refers to the percentage of married women ages 15-49 whose need for family planning is satisfied.
Source: Demographic and Health Surveys.
Demand for family planning satisfied by modern methods (% of married women with demand for family planning)
Definition: Demand for family planning satisfied by modern methods refers to the percentage of married women ages 15-49 years whose need for family planning is satisfied with modern methods.
Source: Demographic and Health Surveys (DHS), uri: FP_NADM_W_PDM, date accessed: 2026-06-15
The "Female genital mutilation prevalence (%)" indicator page provides information on the following indicators:
Female genital mutilation prevalence (%)
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons.
Source: UNICEF DATA, UN Children's Fund (UNICEF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_15-49_FGM; Indicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), type: API, date accessed: 2023-12-07;
Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS) and other surverys, Demographic and Health Surveys (DHS) Program, uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_15-49_FGM; Indicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), publisher: The DHS Program (ICF), type: API, date accessed: 2023-12-07;
DHS API, Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: PT_F_15-49_FGM; Indicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), date accessed: 2023-12-07
Female genital mutilation prevalence (%): Q1 (lowest)
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Female genital mutilation prevalence (%): Q2
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Female genital mutilation prevalence (%): Q3
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Female genital mutilation prevalence (%): Q4
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
Female genital mutilation prevalence (%): Q5 (highest)
Definition: Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Source: UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
The "Incidence of HIV (per 1,000 uninfected population)" indicator page provides information on the following indicators:
Incidence of HIV, ages 15-24, female (per 1,000 uninfected female population ages 15-24)
Definition: Number of new HIV infections among uninfected male populations ages 15-24 expressed per 1,000 uninfected male population ages 15-24 in the year before the period.
Source: UNAIDS estimates.
Incidence of HIV, ages 15-24, male (per 1,000 uninfected male population ages 15-24)
Definition: Number of new HIV infections among uninfected female populations ages 15-24 expressed per 1,000 uninfected female population ages 15-24 in the year before the period.
Source: UNAIDS estimates.
Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24)
Definition: Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.
Source: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS), uri: https://aidsinfo.unaids.org/, publisher: UNAIDS, date accessed: 2025-08-27, date published: 2025-07
Incidence of HIV, ages 15-49, female (per 1,000 uninfected female population ages 15-49)
Definition: Number of new HIV infections among uninfected female populations ages 15-49 expressed per 1,000 uninfected female population ages 15-49 in the year before the period.
Source: UNAIDS estimates.
Incidence of HIV, ages 15-49, male (per 1,000 uninfected male population ages 15-49)
Definition: Number of new HIV infections among uninfected male populations ages 15-49 expressed per 1,000 uninfected male population ages 15-49 in the year before the period.
Source: UNAIDS estimates.
Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)
Definition: Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period.
Source: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS), uri: https://aidsinfo.unaids.org/, publisher: UNAIDS, date accessed: 2025-08-27, date published: 2025-07
The "Maternal mortality ratio (modeled estimate, per 100,000 live births)" indicator page provides information on the following indicators:
Maternal mortality ratio (modeled estimate, per 100,000 live births)
Definition: Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).
Source: Trends in Maternal Mortality, World Health Organization (WHO), uri: https://www.who.int/news/item/23-02-2023-a-woman-dies-every-two-minutes-due-to-pregnancy-or-childbirth--un-agencies;
UN Children's Fund (UNICEF), note: Trends in Maternal Mortality;
UN Population Fund (UNFPA), note: Trends in Maternal Mortality;
World Bank Group (WBG), note: Trends in Maternal Mortality
Maternal mortality ratio (national estimate, per 100,000 live births)
Definition: Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births.
Source: Maternal Mortality Estimation Inter-Agency Group (MMEIG), World Health Organization (WHO), note: The country data compiled, adjusted and used in the estimation model by the Maternal Mortality Estimation Inter-Agency Group (MMEIG). The country data were compiled from the following sources: civil registration and vital statistics; specialized studies on maternal mortality; population based surveys and censuses; other available data sources including data from surveillance sites.;
UN Children's Fund (UNICEF), note: Maternal Mortality Estimation Inter-Agency Group (MMEIG);
UN Population Fund (UNFPA), note: Maternal Mortality Estimation Inter-Agency Group (MMEIG);
World Bank Group (WBG), note: Maternal Mortality Estimation Inter-Agency Group (MMEIG);
United Nations (UN), note: Maternal Mortality Estimation Inter-Agency Group (MMEIG);
Pan American Health Organization (PAHO), note: Core Indicators Portal;
Demographic and Health Surveys (DHS) Program, note: The DHS Program, Demographic and Health Surveys
The "Mortality caused by road traffic injury (per 100,000 population)" indicator page provides information on the following indicators:
Mortality caused by road traffic injury, female (per 100,000 female population)
Definition: Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
Mortality caused by road traffic injury, male (per 100,000 male population)
Definition: Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
Mortality caused by road traffic injury (per 100,000 population)
Definition: Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%)" indicator page provides information on the following indicators:
Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, female (%)
Definition: Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, male (%)
Definition: Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%)
Definition: Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)" indicator page provides information on the following indicators:
Mortality rate attributed to household and ambient air pollution, age-standardized, female (per 100,000 female population)
Definition: Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality rate attributed to household and ambient air pollution, age-standardized, male (per 100,000 male population)
Definition: Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)
Definition: Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Mortality rate attributed to unintentional poisoning (per 100,000 population)" indicator page provides information on the following indicators:
Mortality rate attributed to unintentional poisoning, female (per 100,000 female population)
Definition: Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality rate attributed to unintentional poisoning, male (per 100,000 male population)
Definition: Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can
be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Mortality rate attributed to unintentional poisoning (per 100,000 population)
Definition: Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can
be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population)" indicator page provides information on the following indicators:
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene, female (per 100,000 female population)
Definition: Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene, male (per 100,000 male population)
Definition: Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population)
Definition: Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Mortality rate, under-5 (per 1,000 live births)" indicator page provides information on the following indicators:
Mortality rate, under-5, female (per 1,000 live births)
Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
Mortality rate, under-5, male (per 1,000 live births)
Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
Mortality rate, under-5 (per 1,000 live births)
Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.
Source: UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF), uri: www.childmortality.org, publisher: UNICEF, WHO, World Bank, United Nations Population Division;
World Health Organization (WHO), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
World Bank (WB), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation;
United Nations (UN), uri: www.childmortality.org, note: UN Inter-agency Group for Child Mortality Estimation, publisher: UN Population Division
The "Prevalence of current tobacco use (% of adults)" indicator page provides information on the following indicators:
Prevalence of current tobacco use, females (% of female adults)
Definition: The percentage of the female population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Prevalence of current tobacco use, males (% of male adults)
Definition: The percentage of the male population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Prevalence of current tobacco use (% of adults)
Definition: The percentage of the population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Proportion of seats held by women in national parliaments (%)" indicator page provides information on the following indicators:
Proportion of seats held by women in national parliaments (%)
Definition: Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.
Source: Monthly ranking of women in national parliaments, Inter-Parliamentary Union (IPU), uri: https://data.ipu.org/women-ranking/, note: For the year of 1998, the data is as of August 10, 1998., type: Excel, date accessed: 2026-03-29
The "Proportion of time spent on unpaid domestic and care work (% of 24 hour day)" indicator page provides information on the following indicators:
Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)
Definition: The average time women spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.
Source: National statistical offices or national database and publications, United Nations (UN), uri: https://unstats.un.org/sdgs/dataportal/database, note: Indicator code from the original source: SH_FPL_INFM; Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%), publisher: UN Statistics Division, type: Excel, date accessed: 46190, date published: 2026-03-27
Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)
Definition: The average time men spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.
Source: National statistical offices or national database and publications compiled by United Nations Statistics Division., United Nations (UN), uri: https://unstats.un.org/sdgs/dataportal/database, note: Indicator code from the original source: SH_FPL_INFM; Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%), publisher: UN Statistics Division, type: Excel, date accessed: 46190, date published: 2026-03-27
The "Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)" indicator page provides information on the following indicators:
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 15-49)
Definition: Proportion of ever-partnered women ages 15-49 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)
Definition: Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women age 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
Source: United Nations (UN), uri: https://unstats.un.org/sdgs/dataportal/database, note: Indicator code from the original source: VC_VAW_MARR; Indicator name from the original source: Proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months, by age (%)
, publisher: UN Statistics Division, type: API;
Global Health Observatory, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/proportion-of-ever-partnered-women-and-girls-aged-15-49-years-subjected-to-physical-and-or-sexual-violence-by-a-current-or-former-intimate-partner-in-the-previous-12-months, publisher: WHO
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 15+)
Definition: Proportion of ever-partnered women ages 15+ who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 15-19)
Definition: Proportion of ever-partnered women ages 15-19 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 20-24)
Definition: Proportion of ever-partnered women ages 20-24 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 25-29)
Definition: Proportion of ever-partnered women ages 25-29 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 30-34)
Definition: Proportion of ever-partnered women ages 30-34 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 65+)
Definition: Proportion of ever-partnered women ages 65+ who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 35-39)
Definition: Proportion of ever-partnered women ages 35-39 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 40-44)
Definition: Proportion of ever-partnered women ages 40-44 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 45-49)
Definition: Proportion of ever-partnered women ages 45-49 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 50-54)
Definition: Proportion of ever-partnered women ages 50-54 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 55-59)
Definition: Proportion of ever-partnered women ages 55-59 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 60-64)
Definition: Proportion of ever-partnered women ages 60-64 who experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in the last 12 months. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
The "Proportion of women who have ever experienced intimate partner violence (% of ever-partnered women ages 15-49)" indicator page provides information on the following indicators:
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 15-49)
Definition: Proportion of ever-partnered women ages 15-49 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (% of ever-partnered women ages 15-49)
Definition: Proportion of women who have ever experienced intimate partner violence is the percentage of ever-married women (ages 15 - 49) who have ever experienced physical or sexual violence committed by their husband or partner.
Source: Demographic and Health Surveys (DHS) Statcompiler (https://www.statcompiler.com/)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 15+)
Definition: Proportion of ever-partnered women ages 15+ who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 15-19)
Definition: Proportion of ever-partnered women ages 15-19 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 20-24)
Definition: Proportion of ever-partnered women ages 20-24 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 25-29)
Definition: Proportion of ever-partnered women ages 25-29 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 30-34)
Definition: Proportion of ever-partnered women ages 30-34 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 65+)
Definition: Proportion of ever-partnered women ages 65+ who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 35-39)
Definition: Proportion of ever-partnered women ages 35-39 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 40-44)
Definition: Proportion of ever-partnered women ages 40-44 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 45-49)
Definition: Proportion of ever-partnered women ages 45-49 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 50-54)
Definition: Proportion of ever-partnered women ages 50-54 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 55-59)
Definition: Proportion of ever-partnered women ages 55-59 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 60-64)
Definition: Proportion of ever-partnered women ages 60-64 who have ever experienced one or more acts of physical and/or sexual violence by a current or former intimate partner in their lifetime. Physical violence includes acts such as being slapped, pushed, hit, kicked, dragged, choked, burnt, or threatened with or assaulted using a weapon by an intimate partner. Sexual violence refers to being physically forced or coerced into sexual intercourse or other sexual acts, including when unable to consent, by an intimate partner.
Source: The United Nations Inter-Agency Working Group on Violence Against Women Estimation and Data (VAW-IAWGED) (WHO, UN Women, UNICEF, UNSD, UNFPA, UNODC)
The "Pupils below minimum reading proficiency at end of primary (%). Low GAML threshold" indicator page provides information on the following indicators:
Female pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
Definition: This indicator uses on Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments.
Source: Word Bank and UNESCO Institute for Statistics
Male pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
Definition: This indicator uses on Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments.
Source: Word Bank and UNESCO Institute for Statistics
Pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
Definition: This indicator uses on Minimum Proficiency Levels (MPLs) defined by the Global Alliance to Monitor Learning led by the UNESCO Institute for Statistics (UIS) in the context of the SDG 4.1.1 monitoring, which established learning benchmarks across different cross-national and national assessments.
Source: Word Bank and UIS
The "Suicide mortality rate (per 100,000 population)" indicator page provides information on the following indicators:
Suicide mortality rate, female (per 100,000 female population)
Definition: Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Suicide mortality rate, male (per 100,000 male population)
Definition: Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
Suicide mortality rate (per 100,000 population)
Definition: Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)" indicator page provides information on the following indicators:
Total alcohol consumption per capita, female (liters of pure alcohol, projected estimates, female 15+ years of age)
Definition: Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Total alcohol consumption per capita, male (liters of pure alcohol, projected estimates, male 15+ years of age)
Definition: Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)
Definition: Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.
Source: Global Health Observatory Data Repository, World Health Organization (WHO), uri: https://www.who.int/data/gho
The "Unemployment (%)" indicator page provides information on the following indicators:
Unemployment, female (% of female labor force) (modeled ILO estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, female (% of female labor force) (national estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, male (% of male labor force) (modeled ILO estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, male (% of male labor force) (national estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, total (% of total labor force) (modeled ILO estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, total (% of total labor force) (national estimate)
Definition: Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, youth female (% of female labor force ages 15-24) (national estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, youth male (% of male labor force ages 15-24) (national estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
Source: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
Unemployment, youth total (% of total labor force ages 15-24) (national estimate)
Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
Source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
The "Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)" indicator page provides information on the following indicators:
Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)
Definition: Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.
Source: Demographic and Health Surveys compiled by United Nations Population Fund, United Nations (UN), uri: https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html, note: Indicator code from the original source: SH_FPL_INFM; Indicator name from the original source: Proportion of women aged 15–49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care, publisher: UN Statistics Division, type: API, date accessed: 2026-06-17, date published: 2026-03-27
The "Women who were first married by age 15 or 18 (% of women ages 20-24)" indicator page provides information on the following indicators:
Women who were first married by age 15 (% of women ages 20-24)
Definition: Women who were first married by age 15 refers to the percentage of women ages 20-24 who were first married by age 15.
Source: UNICEF Data, UN Children's Fund (UNICEF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_20-24_MRD_U15; Indicator name from the original source: Percentage of women (aged 20-24 years) married or in union before age 15, type: API;
DHS API, Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: MA_MBAG_W_B15; Indicator name from the original source: Women first married by exact age 15, type: API
Women who were first married by age 18 (% of women ages 20-24)
Definition: Women who were first married by age 18 refers to the percentage of women ages 20-24 who were first married by age 18.
Source: UNICEF Data, UN Children's Fund (UNICEF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_20-24_MRD_U18; Indicator name from the original source: Percentage of women (aged 20-24 years) married or in union before age 18, type: API;
DHS API, Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: MA_MBAG_W_B18; Indicator name from the original source: Women first married by exact age 18, type: API