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
- Global Findex
- Inter-Parliamentary Union (IPU)
- International Labour Organization (ILO)
- Patrinos and Angrist (2018)
- 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)
- UNICEF-WHO-World Bank Joint Malnutrition Estimates, supplemented with data provided by World Bank staff.
- 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
- Word Bank and UNESCO Institute for Statistics (UIS)
- World Bank Doing Business
- World Bank Enterprise Surveys
- World Bank Entrepreneurship Survey and Database
- World Bank estimates based on ILO and UNDP data
- World Bank staff calculations based on methodology from Human Capital Project
- World Bank staff calculations based on methodology in Filmer et al. (2018)
- World Bank staff estimates based on UN Population Division World Population Prospects
- World Bank staff estimates based on data from UNESCO Institute for Statistics, supplemented with data provided by World Bank staff.
- 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)
- A woman can be "head of household" in the same way as a man (1=yes; 0=no)
- A woman can choose where to live in the same way as a man (1=yes; 0=no)
- A woman can get a job in the same way as a man (1=yes; 0=no)
- A woman can work at night in the same way as a man (1=yes; 0=no)
- A woman can work in a job deemed dangerous in the same way as a man (1=yes; 0=no)
- A woman can work in an industrial job in the same way as a man (1=yes; 0=no)
- 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)
- Law mandates equal remuneration for females and males for work of equal value (1=yes; 0=no)
- 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)
- Paid leave is available to fathers (1=yes; 0=no)
- Paid leave of at least 14 weeks available to mothers (1=yes; 0=no)
- 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)
- The law prohibits discrimination in employment based on gender (1=yes; 0=no)
- There is legislation on sexual harassment in employment (1=yes; 0=no)
- There is legislation specifically addressing domestic violence (1=yes; 0=no)
- There is paid parental leave (1=yes; 0=no)
- 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+)
- Fraction of Children Under 5 Not Stunted
- 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 (%)
- Probability of Survival to Age 5
- 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)
- A woman can open a bank account in the same way as a man (1=yes; 0=no)
- Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
- 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+)
- 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+)
- Male and female surviving spouses have equal rights to inherit assets (1=yes; 0=no)
- 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+)
- 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+)
- Remittances (% of total population, 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+)
- Sons and daughters have equal rights to inherit assets from their parents (1=yes; 0=no)
- Store money in account (% age 15+)
- The law grants spouses equal administrative authority over assets during marriage (1=yes; 0=no)
- The law prohibits discrimination in access to credit based on gender (1=yes; 0=no)
- 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+)
- Women and men have equal ownership rights to immovable property (1=yes; 0=no)
- Women, Business and the Law: Assets Indicator Score (scale 1-100)
- 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 School
- 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)
- Harmonized Test Scores
- Human capital index (HCI) (scale 0-1)
- Human capital index (HCI), lower bound (scale 0-1)
- Human capital index (HCI), upper bound (scale 0-1)
- Learning poverty: Share of Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)
- Learning-Adjusted Years of School
- 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)
- A woman can get a job in the same way as a man (1=yes; 0=no)
- A woman can work at night in the same way as a man (1=yes; 0=no)
- A woman can work in a job deemed dangerous in the same way as a man (1=yes; 0=no)
- A woman can work in an industrial job in the same way as a man (1=yes; 0=no)
- Children in employment, total (% of children ages 7-14)
- Criminal penalties or civil remedies exist for sexual harassment in employment (1=yes; 0=no)
- Dismissal of pregnant workers is prohibited (1=yes; 0=no)
- Employers, total (% of total employment) (modeled ILO estimate)
- Employment by sector (%)
- Employment to population ratio (%)
- Female share of employment in senior and middle management (%)
- 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
- Law mandates equal remuneration for females and males for work of equal value (1=yes; 0=no)
- Length of paid leave (calendar days)
- Length of paid shared parental leave (calendar days)
- Mandatory retirement age
- Paid leave is available to fathers (1=yes; 0=no)
- Paid leave of at least 14 weeks available to mothers (1=yes; 0=no)
- Part time employment, total (% of total employment)
- 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)
- Retirement age by type of benefits
- Self-employed, total (% of total employment) (modeled ILO estimate)
- Share of youth not in education, employment or training, total (% of youth population)
- The age at which women and men can retire with full pension benefits is the same (1=yes; 0=no)
- The age at which women and men can retire with partial pension benefits is the same (1=yes; 0=no)
- The government administers 100 percent of maternity leave benefits (1=yes; 0=no)
- The law prohibits discrimination in employment based on gender (1=yes; 0=no)
- The law provides for the valuation of nonmonetary contributions (1=yes; 0=no)
- The mandatory retirement age for women and men is the same (1=yes; 0=no)
- There are periods of absence due to childcare accounted for in pension benefits (1=yes; 0=no)
- There is legislation on sexual harassment in employment (1=yes; 0=no)
- There is legislation specifically addressing domestic violence (1=yes; 0=no)
- There is paid parental leave (1=yes; 0=no)
- Time-related underemployment (% of employment)
- Unemployment (%)
- Unemployment by level of education (%)
- Vulnerable employment, total (% of total employment) (modeled ILO estimate)
- Wage and salaried workers, total (% of total employment) (modeled ILO estimate)
- Women Business and the Law Index Score (scale 1-100)
- Women, Business and the Law: Parenthood Indicator Score (scale 1-100)
- Women, Business and the Law: Pay Indicator Score (scale 1-100)
- Women, Business and the Law: Pension Indicator Score (scale 1-100)
- Women, Business and the Law: Workplace Indicator Score (scale 1-100)
- A woman can register a business in the same way as a man (1=yes; 0=no)
- A woman can sign a contract in the same way as a man (1=yes; 0=no)
- Borrowed to start or operate a business (% age 15+)
- Cost of business start-up procedures (% of GNI per capita)
- 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)
- Women, Business and the Law: Entrepreneurship Indicator Score (scale 1-100)
- 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 (%)
- 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)
- Fraction of Children Under 5 Not Stunted
- 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)
- Probability of Survival to Age 5
- Stillbirth rate (per 1,000 total births)
- Suicide mortality rate (per 100,000 population)
- Survival Rate from Age 15-60
- 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 (%)
- A woman can apply for a passport in the same way as a man (1=yes; 0=no)
- A woman can be "head of household" in the same way as a man (1=yes; 0=no)
- A woman can choose where to live in the same way as a man (1=yes; 0=no)
- A woman can get a job in the same way as a man (1=yes; 0=no)
- A woman can obtain a judgment of divorce in the same way as a man (1=yes; 0=no)
- A woman can open a bank account in the same way as a man (1=yes; 0=no)
- A woman can register a business in the same way as a man (1=yes; 0=no)
- A woman can sign a contract in the same way as a man (1=yes; 0=no)
- A woman can travel outside her home in the same way as a man (1=yes; 0=no)
- A woman can travel outside the country in the same way as a man (1=yes; 0=no)
- A woman can work at night in the same way as a man (1=yes; 0=no)
- A woman can work in a job deemed dangerous in the same way as a man (1=yes; 0=no)
- A woman can work in an industrial job in the same way as a man (1=yes; 0=no)
- A woman has the same rights to remarry as a man (1=yes; 0=no)
- 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 (%)
- Mean age at first marriage
- Proportion of women who have ever experienced any form of sexual violence (% of women ages 15-49)
- The law is free of legal provisions that require a married woman to obey her husband (1=yes; 0=no)
- 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)
- Women, Business and the Law: Marriage Indicator Score (scale 1-100)
- Women, Business and the Law: Mobility Indicator Score (scale 1-100)
- 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)
- Criminal penalties or civil remedies exist for sexual harassment in employment (1=yes; 0=no)
- 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 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
- Suicide mortality rate (per 100,000 population)
- There is legislation on sexual harassment in employment (1=yes; 0=no)
- There is legislation specifically addressing domestic violence (1=yes; 0=no)
- 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: 2024-03-21
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 female population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, male (% of male population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
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
Cause of death, by injury, female (% of female population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, male (% of male population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
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
Cause of death, by non-communicable diseases, female (% of female population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, male (% of male population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
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
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 0-4, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 0-4, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 0-4 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 0-4, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 0-4, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 0-4 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 5-14, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 5-14, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 5-14 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 5-14, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 5-14, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 5-14 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 15-59, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 15-59, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 15-59 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 15-59, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 15-59, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 15-59 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+ (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 60+, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 60+, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 60+ (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 60+, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 60+, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 60+ (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
The "Fraction of Children Under 5 Not Stunted" indicator page provides information on the following indicators:
Fraction of Children Under 5 Not Stunted, Female
Definition: Percentage not stunted is calculated by subtracting stunting rates from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: UNICEF-WHO-World Bank Joint Malnutrition Estimates, supplemented with data provided by World Bank staff.
Fraction of Children Under 5 Not Stunted, Male
Definition: Percentage not stunted is calculated by subtracting stunting rates from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: UNICEF-WHO-World Bank Joint Malnutrition Estimates, supplemented with data provided by World Bank staff.
Fraction of Children Under 5 Not Stunted
Definition: Percentage not stunted is calculated by subtracting stunting rates from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: UNICEF-WHO-World Bank Joint Malnutrition Estimates, supplemented with data provided by World Bank staff.
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;
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;
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, 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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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, 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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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 "Probability of Survival to Age 5" indicator page provides information on the following indicators:
Probability of Survival to Age 5, Female
Definition: Probability of survival to age 5 is calculated by subtracting the under-5 mortality rate from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: UNESCO Institute for Statistics.
Probability of Survival to Age 5, Male
Definition: Probability of survival to age 5 is calculated by subtracting the under-5 mortality rate from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), supplemented with data provided by World Bank staff.
Probability of Survival to Age 5
Definition: Probability of survival to age 5 is calculated by subtracting the under-5 mortality rate from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), supplemented with data provided by World Bank staff.
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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/, 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, DHS Program (ICF)
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 female population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, male (% of male population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
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
Cause of death, by injury, female (% of female population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, male (% of male population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
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
Cause of death, by non-communicable diseases, female (% of female population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, male (% of male population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
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
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 0-4, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 0-4, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 0-4 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 0-4, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 0-4, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 0-4 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 5-14, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 5-14, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 5-14 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 5-14, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 5-14, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 5-14 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 15-59, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 15-59, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 15-59 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 15-59, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 15-59, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 15-59 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+ (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 60+, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 60+, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 60+ (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 60+, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 60+, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 60+ (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
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)
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, DHS Program (ICF), 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, DHS Program (ICF), 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;
Demographic Statistics, Eurostat (ESTAT)
The "Fraction of Children Under 5 Not Stunted" indicator page provides information on the following indicators:
Fraction of Children Under 5 Not Stunted, Female
Definition: Percentage not stunted is calculated by subtracting stunting rates from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: UNICEF-WHO-World Bank Joint Malnutrition Estimates, supplemented with data provided by World Bank staff.
Fraction of Children Under 5 Not Stunted, Male
Definition: Percentage not stunted is calculated by subtracting stunting rates from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: UNICEF-WHO-World Bank Joint Malnutrition Estimates, supplemented with data provided by World Bank staff.
Fraction of Children Under 5 Not Stunted
Definition: Percentage not stunted is calculated by subtracting stunting rates from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: UNICEF-WHO-World Bank Joint Malnutrition Estimates, supplemented with data provided by World Bank staff.
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/, 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/, 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);
PAHO, note: Core Indicators Portal;
ICF, 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, 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, uri: www.mortality.org;
University of California, Berkeley, uri: www.mortality.org, note: Human Mortality Database;
French Institute for Demographic Studies, 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, DHS Program (ICF)
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/, 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/, 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:
Definition:
Source:
Definition:
Source:
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: UNICEF, WHO, World Bank: 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:
Definition:
Source:
Definition:
Source:
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: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (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 "Probability of Survival to Age 5" indicator page provides information on the following indicators:
Probability of Survival to Age 5, Female
Definition: Probability of survival to age 5 is calculated by subtracting the under-5 mortality rate from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: UNESCO Institute for Statistics.
Probability of Survival to Age 5, Male
Definition: Probability of survival to age 5 is calculated by subtracting the under-5 mortality rate from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), supplemented with data provided by World Bank staff.
Probability of Survival to Age 5
Definition: Probability of survival to age 5 is calculated by subtracting the under-5 mortality rate from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), supplemented with data provided by World Bank staff.
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 Rate from Age 15-60" indicator page provides information on the following indicators:
Survival Rate from Age 15-60, Female
Definition: Adult survival rate is calculated by subtracting the mortality rate for 15-60 year-olds from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: United Nations Population Division, World Population Prospects: 2019 Revision, supplemented with data provided by World Bank Staff.
Survival Rate from Age 15-60, Male
Definition: Adult survival rate is calculated by subtracting the mortality rate for 15-60 year-olds from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: United Nations Population Division, World Population Prospects: 2019 Revision, supplemented with data provided by World Bank Staff.
Survival Rate from Age 15-60
Definition: Adult survival rate is calculated by subtracting the mortality rate for 15-60 year-olds from 1. Most recent estimates are used. Year of most recent estimate shown in data notes.
Source: United Nations Population Division, World Population Prospects: 2019 Revision, supplemented with data provided by World Bank Staff.
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
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), DHS Program (ICF), 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/, 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 "Criminal penalties or civil remedies exist for sexual harassment in employment (1=yes; 0=no)" indicator page provides information on the following indicators:
Criminal penalties or civil remedies exist for sexual harassment in employment (1=yes; 0=no)
Definition: The indicator measures whether the law establishes criminal sanctions, such as fines or imprisonment, for sexual harassment in employment; if the provision in the criminal code provides for reparation of damages for offenses covered by the code; or if the law provides for civil remedies or compensation for victims of sexual harassment in employment or the workplace, even after dismissal of the victims.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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, DHS Program (ICF), 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, DHS Program (ICF), 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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 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: 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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 15+ who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 15-19 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 20-24 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 25-29 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 30-34 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 35-44)
Definition: Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 35-44 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 45-54)
Definition: Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 45-54 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 55-64)
Definition: Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 55-64 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 65+ who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 15+ who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 15-19 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 20-24 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women age 25-29 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 30-34 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 35-44)
Definition: Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 35-44 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 45-54)
Definition: Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 45-54 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 55-64)
Definition: Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 55-64 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 65+ who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 "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 "There is legislation on sexual harassment in employment (1=yes; 0=no)" indicator page provides information on the following indicators:
There is legislation on sexual harassment in employment (1=yes; 0=no)
Definition: The indicator measures whether there is a legal provision or legislation that specifically protects women against sexual harassment in employment, including unwelcome verbal or physical conduct of a sexual nature.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "There is legislation specifically addressing domestic violence (1=yes; 0=no)" indicator page provides information on the following indicators:
There is legislation specifically addressing domestic violence (1=yes; 0=no)
Definition: The indicator measures whether there is legislation addressing domestic violence that includes criminal sanctions or provides for protection orders for domestic violence, or the legislation addresses "harassment" that clearly leads to physical or mental harm in the context of domestic violence.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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), DHS Program (ICF), 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: 2023-02-10
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), DHS Program (ICF), 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: 2023-02-10
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), DHS Program (ICF), 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: 2023-02-10
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), DHS Program (ICF), 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: 2023-02-10
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), DHS Program (ICF), 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: 2023-02-10
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), DHS Program (ICF), 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: 2023-02-10
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, DHS Program (ICF), 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, DHS Program (ICF), 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 "A woman can apply for a passport in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can apply for a passport in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are differences in passport application procedures between men and women.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can be "head of household" in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can be "head of household" in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are restrictions on a woman becoming head of household or head of family.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can choose where to live in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can choose where to live in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are restrictions on a woman choosing where to live.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can get a job in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can get a job in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are restrictions on a woman's legal capacity and ability to work.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can obtain a judgment of divorce in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can obtain a judgment of divorce in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether the divorce process is equal for women and men or includes additional protections for women, such as prohibiting a husband from initiating divorce proceedings while his wife is pregnant.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can open a bank account in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can open a bank account in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are restrictions on a woman opening a bank account (i.e. a woman has limited legal capacity or is required to provide any additional permission or documentation that is not required of a man; or legal provisions limit the ability of a woman to open a bank account, such as stating that a married woman who is separately employed from her husband may open a bank account in her own name).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can register a business in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can register a business in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are restrictions on a woman registering a business (i.e. if a woman needs her husband’s or guardian’s permission, signature or consent to register a business; or the registration process at any stage requires a woman to provide additional information or documentation that is not required of a man).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can sign a contract in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can sign a contract in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether a woman obtains full legal capacity upon reaching the age of majority and there are no restrictions on her signing legally binding contracts.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can travel outside her home in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can travel outside her home in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are restrictions on a woman traveling alone domestically.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can travel outside the country in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can travel outside the country in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are restrictions on a woman traveling alone internationally.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can work at night in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can work at night in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether nonpregnant and nonnursing women are prohibited from working at night or cannot work the same night hours as men. If various sectors of the economy are regulated separately (i.e., no central labor law), it is assumed that the woman is employed as a cashier in a grocery store or supermarket. It is analyzed whether restrictions on women's ability to work at night do not apply to the food retail sector; if women's consent to work at night is required; if an employer needs to comply with safety measures (such as providing transportation).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can work in a job deemed dangerous in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can work in a job deemed dangerous in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are laws that prohibit or restrict nonpregnant and non-nursing women from working in a broad and subjective category of jobs deemed “hazardous,” “arduous” or “morally inappropriate.”
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can work in an industrial job in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can work in an industrial job in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether nonpregnant and non-nursing a woman can work in the mining, construction, manufacturing, energy, water, agriculture, and transportation industries in the same way as men. nonpregnant and non-nursing women can work in the mining, construction, manufacturing, energy, water, agriculture, and transportation industries in the same way as men.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman has the same rights to remarry as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman has the same rights to remarry as a man (1=yes; 0=no)
Definition: The indicator measures whether women and men have an equal right to remarry.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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 "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 "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 "The law is free of legal provisions that require a married woman to obey her husband (1=yes; 0=no)" indicator page provides information on the following indicators:
The law is free of legal provisions that require a married woman to obey her husband (1=yes; 0=no)
Definition: The indicator measures whether a married woman is legally required to obey her husband.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.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
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), DHS Program (ICF), 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), DHS Program (ICF), 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: 2023-02-10
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), DHS Program (ICF), 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: 2023-02-10
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), DHS Program (ICF), 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: 2023-02-10
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), DHS Program (ICF), 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: 2023-02-10
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), DHS Program (ICF), 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: 2023-02-10
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), DHS Program (ICF), 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: 2023-02-10
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, DHS Program (ICF), 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, DHS Program (ICF), 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, Business and the Law: Marriage Indicator Score (scale 1-100)" indicator page provides information on the following indicators:
Women, Business and the Law: Marriage Indicator Score (scale 1-100)
Definition: The Marriage indicator measures legal constraints related to marriage and divorce. The Marriage indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.OBHB.MR.NO; 2. SG.HLD.HEAD.EQ; 3. SG.LEG.DVAW; 4. SG.OBT.DVRC.EQ; 5. SG.REM.RIGT.EQ (= 20 points each) and scaling the result to 100.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Women, Business and the Law: Mobility Indicator Score (scale 1-100)" indicator page provides information on the following indicators:
Women, Business and the Law: Mobility Indicator Score (scale 1-100)
Definition: The Mobility indicator measures constraints on a woman’s agency and freedom of movement, both of which are likely to influence her decision to enter the labor force and engage in entrepreneurial activity. Mobility indicator score is obtained by calculating the unweighted average of the following: 1. SG.APL.PSPT.EQ; 2. SG.CTR.TRVL.EQ; 3. SG.HME.TRVL.EQ; 4. SG.LOC.LIVE.EQ (= 25 points each) and scaling the result to 100.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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: 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: 2025-09-22, date published: 2025-09
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: 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: 2025-09-22, date published: 2025-09
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: 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: 2025-09-22, date published: 2025-09
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/, 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/, 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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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 07, 2025
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 07, 2025
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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, 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/, 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/, 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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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, Forestry, Fisheries and Veterinary 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.
Female share of graduates in Arts and Humanities 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.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Female share of graduates in Natural Sciences, Mathematics and Statistics 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.
Female share of graduates from Science, Technology, Engineering and Mathematics (STEM) 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: 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: 2025-09-22, date published: 2025-09
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Female share of graduates in Social Sciences, Journalism and Information 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.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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
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
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
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025.
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
The "Vocational and Technical enrolment (% of total secondary enrolment), total" indicator page provides information on the following indicators:
Vocational and Technical enrolment (% of total secondary enrolment), female
Definition: The indicator measures the percentage of female students enrolled in vocational and technical programs among all female students in 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: 2025-09-22, date published: 2025-09
Vocational and Technical enrolment (% of total secondary enrolment), total
Definition: The indicator measures the percentage of students enrolled in vocational and technical programs among all students in 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: 2025-09-22, date published: 2025-09
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, DHS Program (ICF), 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, DHS Program (ICF), 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 "A woman can get a job in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can get a job in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are restrictions on a woman's legal capacity and ability to work.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can work at night in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can work at night in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether nonpregnant and nonnursing women are prohibited from working at night or cannot work the same night hours as men. If various sectors of the economy are regulated separately (i.e., no central labor law), it is assumed that the woman is employed as a cashier in a grocery store or supermarket. It is analyzed whether restrictions on women's ability to work at night do not apply to the food retail sector; if women's consent to work at night is required; if an employer needs to comply with safety measures (such as providing transportation).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can work in a job deemed dangerous in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can work in a job deemed dangerous in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are laws that prohibit or restrict nonpregnant and non-nursing women from working in a broad and subjective category of jobs deemed “hazardous,” “arduous” or “morally inappropriate.”
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can work in an industrial job in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can work in an industrial job in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether nonpregnant and non-nursing a woman can work in the mining, construction, manufacturing, energy, water, agriculture, and transportation industries in the same way as men. nonpregnant and non-nursing women can work in the mining, construction, manufacturing, energy, water, agriculture, and transportation industries in the same way as men.
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 "Criminal penalties or civil remedies exist for sexual harassment in employment (1=yes; 0=no)" indicator page provides information on the following indicators:
Criminal penalties or civil remedies exist for sexual harassment in employment (1=yes; 0=no)
Definition: The indicator measures whether the law establishes criminal sanctions, such as fines or imprisonment, for sexual harassment in employment; if the provision in the criminal code provides for reparation of damages for offenses covered by the code; or if the law provides for civil remedies or compensation for victims of sexual harassment in employment or the workplace, even after dismissal of the victims.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Dismissal of pregnant workers is prohibited (1=yes; 0=no)" indicator page provides information on the following indicators:
Dismissal of pregnant workers is prohibited (1=yes; 0=no)
Definition: The indicator measures whether the law explicitly prohibits the dismissal of pregnant women, if pregnancy cannot serve as grounds for termination of a contract or if dismissal of pregnant workers is considered a form of unlawful termination, unfair dismissal or wrongful discharge.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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 07, 2025
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 07, 2025
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 07, 2025
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 07, 2025
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 07, 2025
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 07, 2025
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 07, 2025
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 07, 2025
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 07, 2025
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 07, 2025
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 07, 2025
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 07, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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: September 25, 2025
The "Informal employment (% of total non-agricultural employment)" indicator page provides information on the following indicators:
Informal employment, female (% of total non-agricultural employment)
Definition: Employment in the informal economy as a percentage of total non-agricultural employment. It basically includes all jobs in unregistered and/or small-scale private unincorporated enterprises that produce goods or services meant for sale or barter. Self-employed street vendors, taxi drivers and home-base workers, regardless of size, are all considered enterprises. However, agricultural and related activities, households producing goods exclusively for their own use (e.g. subsistence farming, domestic housework, care work, and employment of paid domestic workers), and volunteer services rendered to the community are excluded.
Source: International Labour Organization, ILOSTAT database. Data as of September 2020.
Informal employment, male (% of total non-agricultural employment)
Definition: Employment in the informal economy as a percentage of total non-agricultural employment. It basically includes all jobs in unregistered and/or small-scale private unincorporated enterprises that produce goods or services meant for sale or barter. Self-employed street vendors, taxi drivers and home-base workers, regardless of size, are all considered enterprises. However, agricultural and related activities, households producing goods exclusively for their own use (e.g. subsistence farming, domestic housework, care work, and employment of paid domestic workers), and volunteer services rendered to the community are excluded.
Source: International Labour Organization, ILOSTAT database. Data as of September 2020.
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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 07, 2025
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 07, 2025
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 "Law mandates equal remuneration for females and males for work of equal value (1=yes; 0=no)" indicator page provides information on the following indicators:
Law mandates equal remuneration for females and males for work of equal value (1=yes; 0=no)
Definition: The indicator measures whether there is a law that obligates employers to pay equal remuneration to male and female employees who do work of equal value. “Remuneration” refers to the ordinary, basic or minimum wage or salary and any additional emoluments payable directly or indirectly, whether in cash or in kind, by the employer to the worker and arising out of the worker’s employment. “Work of equal value” refers not only to the same or similar jobs but also to different jobs of the same value.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Length of paid leave (calendar days) " indicator page provides information on the following indicators:
Length of paid maternity leave (calendar days)
Definition: The indicator refers to leave available only to the mother for the birth of a child to be taken just before, during and immediately after childbirth.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
Length of paid paternity leave (calendar days)
Definition: The indicator refers to leave available only to the father for the birth of a child.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
Length of paid shared parental leave (calendar days)
Definition: The indicator refers to parental leave that can be shared amongst the parents as they choose. Parental leave refers to leave available equally to parents—regardless of gender—for the purpose of childcare immediately following maternity and paternity leave OR instead of maternity and paternity leave.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Length of paid shared parental leave (calendar days)" indicator page provides information on the following indicators:
Length of paid parental leave for mother (calendar days)
Definition: The indicator refers to days of parental leave reserved specifically for mothers—through “use-it-or-lose-it” policies or mothers’ quotas; or days of parental leave that employees are individually entitled to.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
Length of paid parental leave for father (calendar days)
Definition: The indicator refers to days of parental leave reserved specifically for fathers—that is, through “use-it-or-lose-it” policies or fathers’ quotas; or days of parental leave that employees are individually entitled to.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Mandatory retirement age" indicator page provides information on the following indicators:
Mandatory retirement age, female
Definition: The indicator represents the actual age at which women are required to retire, or employers can terminate a contract, according to the applicable legislation.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
Mandatory retirement age, male
Definition: The indicator represents the actual age at which men are required to retire, or employers can terminate a contract, according to the applicable legislation.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Paid leave is available to fathers (1=yes; 0=no)" indicator page provides information on the following indicators:
Paid leave is available to fathers (1=yes; 0=no)
Definition: The indicator measures whether fathers are legally entitled to at least one day of paid leave for the birth of a child, or if the law reserves a portion of paid parental leave specifically for fathers—that is, through “use-it-or-lose-it” policies or fathers’ quotas; or if fathers are individually entitled to paid parental leave.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Paid leave of at least 14 weeks available to mothers (1=yes; 0=no)" indicator page provides information on the following indicators:
Paid leave of at least 14 weeks available to mothers (1=yes; 0=no)
Definition: The indicator measures whether women are legally entitled to at least 14 weeks (98 calendar days) of paid leave for the birth of a child through maternity leave, parental leave or a combination of both.
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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
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
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 "Retirement age by type of benefits" indicator page provides information on the following indicators:
Retirement age with full benefits, female
Definition: The indicator represents the actual age at which women can retire with full pension benefits, according to the applicable legislation.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
Retirement age with full benefits, male
Definition: The indicator represents the actual age at which men can retire with full pension benefits, according to the applicable legislation.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
Retirement age with partial benefits, female
Definition: The indicator represents the actual age at which women can retire with partial pension benefits, according to the applicable legislation.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
Retirement age with partial benefits, male
Definition: The indicator represents the actual age at which men can retire with partial pension benefits, according to the applicable legislation.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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 07, 2025
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 07, 2025
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 07, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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
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
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
The "The age at which women and men can retire with full pension benefits is the same (1=yes; 0=no)" indicator page provides information on the following indicators:
The age at which women and men can retire with full pension benefits is the same (1=yes; 0=no)
Definition: The indicator measures whether the statutory age at which men and women can retire and receive an irrevocable minimum old-age pension is the same. If transitional provisions gradually increase, decrease or equalize the statutory retirement age, the answer reflect the age according to the report's data collection cycle, even if the law provides for changes over time.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "The age at which women and men can retire with partial pension benefits is the same (1=yes; 0=no)" indicator page provides information on the following indicators:
The age at which women and men can retire with partial pension benefits is the same (1=yes; 0=no)
Definition: The indicator measures measures whether the age at which men and women can retire and receive partial pension benefits is the same, or if the age at which men and women can retire and receive partial benefits is not mandated. Partial pension benefits refer to a reduced or proportional minimum old-age pension payable to workers who did not accumulate enough work experience or contributions or have not reached the statutory age to qualify for a minimum old-age pension. If transitional provisions gradually increase, decrease or equalize the statutory retirement age, the answer reflect the age according to the report's data collection cycle, even if the law provides for changes over time.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "The government administers 100 percent of maternity leave benefits (1=yes; 0=no)" indicator page provides information on the following indicators:
The government administers 100 percent of maternity leave benefits (1=yes; 0=no)
Definition: The indicator measures whether leave benefits are fully administered by a government entity, including compulsory social insurance schemes (such as social security), public funds, government-mandated private insurance or employer reimbursement of any maternity leave benefits paid directly to an employee.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "The law prohibits discrimination in employment based on gender (1=yes; 0=no)" indicator page provides information on the following indicators:
The law prohibits discrimination in employment based on gender (1=yes; 0=no)
Definition: The indicator measures whether the law generally prevents or penalizes gender-based discrimination in employment. Laws that mandate equal treatment or equality between women and men in employment are also counted for this question. It is not considered whether the laws only prohibit discrimination in one aspect of employment, such as pay or dismissal.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "The law provides for the valuation of nonmonetary contributions (1=yes; 0=no)" indicator page provides information on the following indicators:
The law provides for the valuation of nonmonetary contributions (1=yes; 0=no)
Definition: The indicator measures whether there is an explicit legal recognition of such contributions and the law provides for equal or equitable division of the property or the transfer of a lump sum to the stay-at-home spouse based on nonmonetary contributions; or the default marital property regime is full community, partial community or deferred community because these regimes implicitly recognize nonmonetary contributions at the time of property division and benefit both spouses regardless of who purchased the property or holds title to it. Nonmonetary contributions include caring for minor children, taking care of the family home, or any other nonmonetized contribution from a stay-at-home spouse.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "The mandatory retirement age for women and men is the same (1=yes; 0=no)" indicator page provides information on the following indicators:
The mandatory retirement age for women and men is the same (1=yes; 0=no)
Definition: The indicator measures whether the relative ages at which men and women must cease employment or can be terminated by their employer are equal.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "There are periods of absence due to childcare accounted for in pension benefits (1=yes; 0=no)" indicator page provides information on the following indicators:
There are periods of absence due to childcare accounted for in pension benefits (1=yes; 0=no)
Definition: The indicator measures whether 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 there are mechanisms to compensate for any contribution gaps and to ensure that the leave period does not reduce the assessment base or pension amounts, or if there are no mandatory contributory pension schemes, but there is a noncontributory universal social pension conditioned on noncontributory requirements with no means test attached.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "There is legislation on sexual harassment in employment (1=yes; 0=no)" indicator page provides information on the following indicators:
There is legislation on sexual harassment in employment (1=yes; 0=no)
Definition: The indicator measures whether there is a legal provision or legislation that specifically protects women against sexual harassment in employment, including unwelcome verbal or physical conduct of a sexual nature.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "There is legislation specifically addressing domestic violence (1=yes; 0=no)" indicator page provides information on the following indicators:
There is legislation specifically addressing domestic violence (1=yes; 0=no)
Definition: The indicator measures whether there is legislation addressing domestic violence that includes criminal sanctions or provides for protection orders for domestic violence, or the legislation addresses "harassment" that clearly leads to physical or mental harm in the context of domestic violence.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "There is paid parental leave (1=yes; 0=no)" indicator page provides information on the following indicators:
There is paid parental leave (1=yes; 0=no)
Definition: The indicator measures whether both parents are legally entitled to some form of full-time paid parental leave either shared between mother and father or as an individual entitlement that each can take regardless of the other.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025.
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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 "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 07, 2025
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 07, 2025
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 07, 2025
The "Women Business and the Law Index Score (scale 1-100)" indicator page provides information on the following indicators:
Women Business and the Law Index Score (scale 1-100)
Definition: The index measures how laws and regulations affect women's economic opportunity. Overall scores are calculated by taking the average score of each index (Mobility, Workplace, Pay, Marriage, Parenthood, Entrepreneurship, Assets and Pension), with 100 representing the highest possible score.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Women, Business and the Law: Parenthood Indicator Score (scale 1-100)" indicator page provides information on the following indicators:
Women, Business and the Law: Parenthood Indicator Score (scale 1-100)
Definition: The Parenthood indicator examines laws affecting women’s work during and after pregnancy. The Parenthood indicator score is obtained by calculating the unweighted average of the following: 1. SH.MMR.LEVE.AL; 2.SH.MMR.LEVE.GT; 3. SH.PTR.LEVE.AL; 4.SH.PAR.LEVE.AL; 5.SG.DML.PRGW (= 20 points each) and scaling the result to 100.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Women, Business and the Law: Pay Indicator Score (scale 1-100)" indicator page provides information on the following indicators:
Women, Business and the Law: Pay Indicator Score (scale 1-100)
Definition: The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Women, Business and the Law: Pension Indicator Score (scale 1-100)" indicator page provides information on the following indicators:
Women, Business and the Law: Pension Indicator Score (scale 1-100)
Definition: The Pension indicator assesses laws affecting the size of a woman’s pension. The Pension indicator score is obtained by calculating the unweighted average of the following: 1. SG.AGE.FUPN.EQ; 2. SG.AGE.PAPN.EQ; 3. SG.AGE.MRET.EQ; 4. SG.ABS.PENB (= 25 points each) and scaling the result to 100.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Women, Business and the Law: Workplace Indicator Score (scale 1-100)" indicator page provides information on the following indicators:
Women, Business and the Law: Workplace Indicator Score (scale 1-100)
Definition: The Workplace indicator analyzes laws affecting women’s decisions to enter the labor market, including women’s legal capacity and ability to work, as well as protections in the workplace against discrimination and sexual harassment. The Workplace indicator score is obtained by calculating the unweighted average of the following: 1. SG.GET.JOBS.EQ; 2. SG.LAW.NODC.HR; 3. SG.LEG.SXHR.EM; 4. SG.PEN.SXHR.EM (= 25 points each) and scaling the result to 100.
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: 2025-09-22, date published: 2025-09
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;
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: 2025-09-22, date published: 2025-09
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. This indicator denotes the percentage change over each previous year of the constant price (base year 2015) series in United States dollars.
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, date accessed: 2023-07-25, date published: 2023-07-06;
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, date accessed: 2023-07-25, date published: 2023-07-06;
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, date accessed: 2023-07-25, date published: 2023-07-06;
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, Forestry, Fisheries and Veterinary 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.
Female share of graduates in Arts and Humanities 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.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Female share of graduates in Natural Sciences, Mathematics and Statistics 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.
Female share of graduates from Science, Technology, Engineering and Mathematics (STEM) 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: 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: 2025-09-22, date published: 2025-09
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Female share of graduates in Social Sciences, Journalism and Information 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.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
The "Expected Years of School" indicator page provides information on the following indicators:
Expected Years of School, Female
Definition: Expected years of school is calculated as the sum of age-specific enrollment rates between ages 4 and 17. Age-specific enrollment rates are approximated using school enrollment rates at different levels: pre-primary enrollment rates approximate the age-specific enrolment rates for 4 and 5 year-olds; the primary rate approximates for 6-11 year-olds; the lower-secondary rate approximates for 12-14 year-olds; and the upper-secondary approximates for 15-17 year-olds. Most recent estimates are used. Year of most recent primary enrollment rate used is shown in data notes.
Source: World Bank staff estimates based on data from UNESCO Institute for Statistics, supplemented with data provided by World Bank staff.
Expected Years of School, Male
Definition: Expected years of school is calculated as the sum of age-specific enrollment rates between ages 4 and 17. Age-specific enrollment rates are approximated using school enrollment rates at different levels: pre-primary enrollment rates approximate the age-specific enrolment rates for 4 and 5 year-olds; the primary rate approximates for 6-11 year-olds; the lower-secondary rate approximates for 12-14 year-olds; and the upper-secondary approximates for 15-17 year-olds. Most recent estimates are used. Year of most recent primary enrollment rate used is shown in data notes.
Source: World Bank staff estimates based on data from UNESCO Institute for Statistics, supplemented with data provided by World Bank staff.
Expected Years of School
Definition: Expected years of school is calculated as the sum of age-specific enrollment rates between ages 4 and 17. Age-specific enrollment rates are approximated using school enrollment rates at different levels: pre-primary enrollment rates approximate the age-specific enrolment rates for 4 and 5 year-olds; the primary rate approximates for 6-11 year-olds; the lower-secondary rate approximates for 12-14 year-olds; and the upper-secondary approximates for 15-17 year-olds. Most recent estimates are used. Year of most recent primary enrollment rate used is shown in data notes.
Source: World Bank staff estimates based on data from UNESCO Institute for Statistics, supplemented with data provided by World Bank staff.
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: 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: 2025-09-22, date published: 2025-09
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: 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: 2025-09-22, date published: 2025-09
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: 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: 2025-09-22, date published: 2025-09
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: 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: 2025-09-22, date published: 2025-09
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: 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: 2025-09-22, date published: 2025-09
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: 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: 2025-09-22, date published: 2025-09
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 "Harmonized Test Scores" indicator page provides information on the following indicators:
Harmonized Test Scores, Female
Definition: Harmonized test scores from major international student achievement testing programs.They are measured in TIMSS-equivalent units, where 300 is minimal attainment and 625 is advanced attainment. Most recent estimates are used. Year of most recent estimate shown in data notes.
Test scores from the following testing programs are included:
• TIMSS/PIRLS: Refers to average of test scores from TIMSS (Trends in International Maths and Science Study) and PIRLS (Progress in International Reading Literacy Study), both carried out by the International Association for the Evaluation of Educational Achievement. Data from each PIRLS round is moved to the year of the nearest TIMSS round and averaged with the TIMSS data.
• PISA: Refers to test scores from Programme for International Student Assessment
• PISA+TIMSS/PIRLS: Refers to the average of these programs for countries and years where both are available
• SACMEQ: Refers to test scores from Southern and Eastern Africa Consortium for Monitoring Educational Quality
• PASEC: Refers to test scores from Program of Analysis of Education Systems
• LLECE: Refers to test scores from Latin American Laboratory for Assessment of the Quality of Education
• PILNA: Refers to test scores from Pacific Islands Literacy and Numeracy Assessment
• EGRA: Refers to test scores from nationally-representative Early Grade Reading Assessments
• EGRANR: Refers to test scores from non-nationally-representative Early Grade Reading Assessments
Source: Patrinos and Angrist (2018). http://documents.worldbank.org/curated/en/390321538076747773/Global-Dataset-on-Education-Quality-A-Review-and-Update-2000-2017
Harmonized Test Scores, Male
Definition: Harmonized test scores from major international student achievement testing programs.They are measured in TIMSS-equivalent units, where 300 is minimal attainment and 625 is advanced attainment. Most recent estimates are used. Year of most recent estimate shown in data notes.
Test scores from the following testing programs are included:
• TIMSS/PIRLS: Refers to average of test scores from TIMSS (Trends in International Maths and Science Study) and PIRLS (Progress in International Reading Literacy Study), both carried out by the International Association for the Evaluation of Educational Achievement. Data from each PIRLS round is moved to the year of the nearest TIMSS round and averaged with the TIMSS data.
• PISA: Refers to test scores from Programme for International Student Assessment
• PISA+TIMSS/PIRLS: Refers to the average of these programs for countries and years where both are available
• SACMEQ: Refers to test scores from Southern and Eastern Africa Consortium for Monitoring Educational Quality
• PASEC: Refers to test scores from Program of Analysis of Education Systems
• LLECE: Refers to test scores from Latin American Laboratory for Assessment of the Quality of Education
• PILNA: Refers to test scores from Pacific Islands Literacy and Numeracy Assessment
• EGRA: Refers to test scores from nationally-representative Early Grade Reading Assessments
• EGRANR: Refers to test scores from non-nationally-representative Early Grade Reading Assessments
Source: Patrinos and Angrist (2018). http://documents.worldbank.org/curated/en/390321538076747773/Global-Dataset-on-Education-Quality-A-Review-and-Update-2000-2017
Harmonized Test Scores
Definition: Harmonized test scores from major international student achievement testing programs.They are measured in TIMSS-equivalent units, where 300 is minimal attainment and 625 is advanced attainment. Most recent estimates are used. Year of most recent estimate shown in data notes.
Test scores from the following testing programs are included:
• TIMSS/PIRLS: Refers to average of test scores from TIMSS (Trends in International Maths and Science Study) and PIRLS (Progress in International Reading Literacy Study), both carried out by the International Association for the Evaluation of Educational Achievement. Data from each PIRLS round is moved to the year of the nearest TIMSS round and averaged with the TIMSS data.
• PISA: Refers to test scores from Programme for International Student Assessment
• PISA+TIMSS/PIRLS: Refers to the average of these programs for countries and years where both are available
• SACMEQ: Refers to test scores from Southern and Eastern Africa Consortium for Monitoring Educational Quality
• PASEC: Refers to test scores from Program of Analysis of Education Systems
• LLECE: Refers to test scores from Latin American Laboratory for Assessment of the Quality of Education
• PILNA: Refers to test scores from Pacific Islands Literacy and Numeracy Assessment
• EGRA: Refers to test scores from nationally-representative Early Grade Reading Assessments
• EGRANR: Refers to test scores from non-nationally-representative Early Grade Reading Assessments
Source: Patrinos and Angrist (2018). http://documents.worldbank.org/curated/en/390321538076747773/Global-Dataset-on-Education-Quality-A-Review-and-Update-2000-2017
The "Human capital index (HCI) (scale 0-1)" indicator page provides information on the following indicators:
Human capital index (HCI), female (scale 0-1)
Definition: The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://openknowledge.worldbank.org/handle/10986/30498
Human capital index (HCI), male (scale 0-1)
Definition: The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://openknowledge.worldbank.org/handle/10986/30498
Human capital index (HCI) (scale 0-1)
Definition: The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://openknowledge.worldbank.org/handle/10986/30498
The "Human capital index (HCI), lower bound (scale 0-1)" indicator page provides information on the following indicators:
Human capital index (HCI), female, lower bound (scale 0-1)
Definition: The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://openknowledge.worldbank.org/handle/10986/30498
Human capital index (HCI), male, lower bound (scale 0-1)
Definition: The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://openknowledge.worldbank.org/handle/10986/30498
Human capital index (HCI), lower bound (scale 0-1)
Definition: The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://openknowledge.worldbank.org/handle/10986/30498
The "Human capital index (HCI), upper bound (scale 0-1)" indicator page provides information on the following indicators:
Human capital index (HCI), female, upper bound (scale 0-1)
Definition: The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://openknowledge.worldbank.org/handle/10986/30498
Human capital index (HCI), male, upper bound (scale 0-1)
Definition: The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://openknowledge.worldbank.org/handle/10986/30498
Human capital index (HCI), upper bound (scale 0-1)
Definition: The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.
Source: Staff calculations based on the Human Capital Project, World Bank (WB), uri: https://openknowledge.worldbank.org/handle/10986/30498
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 "Learning-Adjusted Years of School" indicator page provides information on the following indicators:
Learning-Adjusted Years of School, Female
Definition: Learning-adjusted years of school are calculated by multiplying the estimates of expected years of school by the ratio of most recent harmonized test scores to 625.
Source: World Bank staff calculation based on methodology in Filmer et al. (2018). http://documents.worldbank.org/curated/en/243261538075151093/Learning-Adjusted-Years-of-Schooling-LAYS-Defining-A-New-Macro-Measure-of-Education
Learning-Adjusted Years of School, Male
Definition: Learning-adjusted years of school are calculated by multiplying the estimates of expected years of school by the ratio of most recent harmonized test scores to 625.
Source: World Bank staff calculation based on methodology in Filmer et al. (2018). http://documents.worldbank.org/curated/en/243261538075151093/Learning-Adjusted-Years-of-Schooling-LAYS-Defining-A-New-Macro-Measure-of-Education
Learning-Adjusted Years of School
Definition: Learning-adjusted years of school are calculated by multiplying the estimates of expected years of school by the ratio of most recent harmonized test scores to 625.
Source: World Bank staff calculation based on methodology in Filmer et al. (2018). http://documents.worldbank.org/curated/en/243261538075151093/Learning-Adjusted-Years-of-Schooling-LAYS-Defining-A-New-Macro-Measure-of-Education
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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: 2025-09-22, date published: 2025-09
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, Forestry, Fisheries and Veterinary 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.
Female share of graduates in Arts and Humanities 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.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Female share of graduates in Natural Sciences, Mathematics and Statistics 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.
Female share of graduates from Science, Technology, Engineering and Mathematics (STEM) 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: 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: 2025-09-22, date published: 2025-09
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Female share of graduates in Social Sciences, Journalism and Information 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.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
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: September 25, 2025
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: September 25, 2025
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: September 25, 2025
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
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
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
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: 2025-09-22, date published: 2025-09
The "Vocational and Technical enrolment (% of total secondary enrolment), total" indicator page provides information on the following indicators:
Vocational and Technical enrolment (% of total secondary enrolment), female
Definition: The indicator measures the percentage of female students enrolled in vocational and technical programs among all female students in 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: 2025-09-22, date published: 2025-09
Vocational and Technical enrolment (% of total secondary enrolment), total
Definition: The indicator measures the percentage of students enrolled in vocational and technical programs among all students in 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: 2025-09-22, date published: 2025-09
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 "A woman can open a bank account in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can open a bank account in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are restrictions on a woman opening a bank account (i.e. a woman has limited legal capacity or is required to provide any additional permission or documentation that is not required of a man; or legal provisions limit the ability of a woman to open a bank account, such as stating that a married woman who is separately employed from her husband may open a bank account in her own name).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.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 "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 "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 "Male and female surviving spouses have equal rights to inherit assets (1=yes; 0=no)" indicator page provides information on the following indicators:
Male and female surviving spouses have equal rights to inherit assets (1=yes; 0=no)
Definition: The indicator measures whether both spouses have equal rank and rights to inherit assets when there is no will. For this question, it is assumed that the deceased spouse left no children or any other heirs, other than the surviving spouse.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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 "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 "Remittances (% of total population, 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 "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 "Sons and daughters have equal rights to inherit assets from their parents (1=yes; 0=no)" indicator page provides information on the following indicators:
Sons and daughters have equal rights to inherit assets from their parents (1=yes; 0=no)
Definition: The indicator measures whether there are gender-based differences in the rules of intestate succession for transfer of property from parents to children.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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 "The law grants spouses equal administrative authority over assets during marriage (1=yes; 0=no)" indicator page provides information on the following indicators:
The law grants spouses equal administrative authority over assets during marriage (1=yes; 0=no)
Definition: The indicator measures whether spouses retain administrative power over those assets each brought to the marriage or acquired during marriage, and their accrued value, without the need for spousal consent; or spouses administer their separate property, but for major transactions, such as selling or pledging the property as collateral, spousal consent is required, or if both spouses have equal rights in the administration and transaction of joint property.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "The law prohibits discrimination in access to credit based on gender (1=yes; 0=no)" indicator page provides information on the following indicators:
The law prohibits discrimination in access to credit based on gender (1=yes; 0=no)
Definition: The indicator measures whether the law prohibits discrimination by creditors based on gender or prescribes equal access for both men and women when conducting financial transactions, entrepreneurial activities or receiving financial assistance, or if the law prohibits gender discrimination when accessing goods and services (and services are defined to include financial services).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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 "Women and men have equal ownership rights to immovable property (1=yes; 0=no)" indicator page provides information on the following indicators:
Women and men have equal ownership rights to immovable property (1=yes; 0=no)
Definition: The indicator measures whether no legal restriction related to property is applied to women or men based on gender (i.e. if legal restrictions on property ownership are applied based on gender, or if there are gender differences in the legal treatment of spousal property, such as granting the husband administrative control of marital property. This includes instances in which legal systems are supported by custom and judicial precedent).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Women, Business and the Law: Assets Indicator Score (scale 1-100)" indicator page provides information on the following indicators:
Women, Business and the Law: Assets Indicator Score (scale 1-100)
Definition: The Assets indicator examines gender differences in property and inheritance law, including instances in which legal systems are supported by customary law and judicial precedent. The Assets indicator score is obtained by calculating the unweighted average of the following: 1. SG.OWN.PRRT.IM; 2. SG.IHT.ASST.PT.EQ; 3. SG.IHT.ASST.EQ; 4. SG.LAW.ASST.AR; 5. SG.LAW.NMCN (= 20 points each) and scaling the result to 100.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can register a business in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can register a business in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are restrictions on a woman registering a business (i.e. if a woman needs her husband’s or guardian’s permission, signature or consent to register a business; or the registration process at any stage requires a woman to provide additional information or documentation that is not required of a man).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can sign a contract in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can sign a contract in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether a woman obtains full legal capacity upon reaching the age of majority and there are no restrictions on her signing legally binding contracts.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
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 November 29, 2023.
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 November 29, 2023.
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 November 29, 2023.
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 November 29, 2023.
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 November 29, 2023.
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 November 29, 2023.
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 November 29, 2023.
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 November 29, 2023.
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 November 29, 2023.
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 November 29, 2023.
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 November 29, 2023.
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 November 29, 2023.
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 "Women, Business and the Law: Entrepreneurship Indicator Score (scale 1-100)" indicator page provides information on the following indicators:
Women, Business and the Law: Entrepreneurship Indicator Score (scale 1-100)
Definition: The Entrepreneurship indicator measures constraints on women starting and running a business.. The Entrepreneurship indicator score is obtained by calculating the unweighted average of the following: 1. SG.CNT.SIGN.EQ; 2. SG.BUS.REGT.EQ; 3. SG.OPN.BANK.EQ; 4. SG.LAW.CRDD.GR (= 25 points each) and scaling the result to 100.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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;
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, DHS Program (ICF), 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;
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;
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;
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, 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, 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/, 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
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/, 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, Forestry, Fisheries and Veterinary 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.
Female share of graduates in Arts and Humanities 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.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Female share of graduates in Natural Sciences, Mathematics and Statistics 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.
Female share of graduates from Science, Technology, Engineering and Mathematics (STEM) 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: 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: 2025-09-22, date published: 2025-09
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
Female share of graduates in Social Sciences, Journalism and Information 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.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of March 2020.
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 "A woman can be "head of household" in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can be "head of household" in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are restrictions on a woman becoming head of household or head of family.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can choose where to live in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can choose where to live in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are restrictions on a woman choosing where to live.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can get a job in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can get a job in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are restrictions on a woman's legal capacity and ability to work.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can work at night in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can work at night in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether nonpregnant and nonnursing women are prohibited from working at night or cannot work the same night hours as men. If various sectors of the economy are regulated separately (i.e., no central labor law), it is assumed that the woman is employed as a cashier in a grocery store or supermarket. It is analyzed whether restrictions on women's ability to work at night do not apply to the food retail sector; if women's consent to work at night is required; if an employer needs to comply with safety measures (such as providing transportation).
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can work in a job deemed dangerous in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can work in a job deemed dangerous in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether there are laws that prohibit or restrict nonpregnant and non-nursing women from working in a broad and subjective category of jobs deemed “hazardous,” “arduous” or “morally inappropriate.”
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "A woman can work in an industrial job in the same way as a man (1=yes; 0=no)" indicator page provides information on the following indicators:
A woman can work in an industrial job in the same way as a man (1=yes; 0=no)
Definition: The indicator measures whether nonpregnant and non-nursing a woman can work in the mining, construction, manufacturing, energy, water, agriculture, and transportation industries in the same way as men. nonpregnant and non-nursing women can work in the mining, construction, manufacturing, energy, water, agriculture, and transportation industries in the same way as men.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.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, DHS Program (ICF)
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 female population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, male (% of male population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
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
Cause of death, by injury, female (% of female population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, male (% of male population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
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
Cause of death, by non-communicable diseases, female (% of female population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, male (% of male population)
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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
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
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 0-4, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 0-4, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 0-4 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 0-4, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 0-4, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 0-4 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 5-14, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 5-14, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 5-14 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 5-14, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 5-14, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 5-14 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 15-59, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 15-59, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 15-59 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 15-59, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 15-59, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 15-59 (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+ (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 60+, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 60+, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by injury, ages 60+ (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 60+, female (% of female population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 60+, male (% of male population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
Cause of death, by non-communicable diseases, ages 60+ (% of population 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: Derived based on the data from Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death
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)
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, DHS Program (ICF), 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, DHS Program (ICF), 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/, 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/, date accessed: 2025-08-27, date published: 2025-07
The "Law mandates equal remuneration for females and males for work of equal value (1=yes; 0=no)" indicator page provides information on the following indicators:
Law mandates equal remuneration for females and males for work of equal value (1=yes; 0=no)
Definition: The indicator measures whether there is a law that obligates employers to pay equal remuneration to male and female employees who do work of equal value. “Remuneration” refers to the ordinary, basic or minimum wage or salary and any additional emoluments payable directly or indirectly, whether in cash or in kind, by the employer to the worker and arising out of the worker’s employment. “Work of equal value” refers not only to the same or similar jobs but also to different jobs of the same value.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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);
PAHO, note: Core Indicators Portal;
ICF, 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 "Paid leave is available to fathers (1=yes; 0=no)" indicator page provides information on the following indicators:
Paid leave is available to fathers (1=yes; 0=no)
Definition: The indicator measures whether fathers are legally entitled to at least one day of paid leave for the birth of a child, or if the law reserves a portion of paid parental leave specifically for fathers—that is, through “use-it-or-lose-it” policies or fathers’ quotas; or if fathers are individually entitled to paid parental leave.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "Paid leave of at least 14 weeks available to mothers (1=yes; 0=no)" indicator page provides information on the following indicators:
Paid leave of at least 14 weeks available to mothers (1=yes; 0=no)
Definition: The indicator measures whether women are legally entitled to at least 14 weeks (98 calendar days) of paid leave for the birth of a child through maternity leave, parental leave or a combination of both.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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: 2024-03-21
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
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
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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 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: 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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 15+ who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 15-19 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 20-24 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 25-29 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 30-34 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 35-44)
Definition: Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 35-44 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 45-54)
Definition: Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 45-54 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 55-64)
Definition: Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 55-64 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women ages 65+ who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 15+ who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 15-19 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 20-24 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women age 25-29 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 30-34 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 35-44)
Definition: Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 35-44 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 45-54)
Definition: Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 45-54 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 55-64)
Definition: Proportion of women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 55-64 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 women who have ever experienced intimate partner violence is the percentage of ever partnered women ages 65+ who are subjected to physical violence, sexual violence or both by a current or former intimate partner in their lifetime.
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 "The law prohibits discrimination in employment based on gender (1=yes; 0=no)" indicator page provides information on the following indicators:
The law prohibits discrimination in employment based on gender (1=yes; 0=no)
Definition: The indicator measures whether the law generally prevents or penalizes gender-based discrimination in employment. Laws that mandate equal treatment or equality between women and men in employment are also counted for this question. It is not considered whether the laws only prohibit discrimination in one aspect of employment, such as pay or dismissal.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "There is legislation on sexual harassment in employment (1=yes; 0=no)" indicator page provides information on the following indicators:
There is legislation on sexual harassment in employment (1=yes; 0=no)
Definition: The indicator measures whether there is a legal provision or legislation that specifically protects women against sexual harassment in employment, including unwelcome verbal or physical conduct of a sexual nature.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "There is legislation specifically addressing domestic violence (1=yes; 0=no)" indicator page provides information on the following indicators:
There is legislation specifically addressing domestic violence (1=yes; 0=no)
Definition: The indicator measures whether there is legislation addressing domestic violence that includes criminal sanctions or provides for protection orders for domestic violence, or the legislation addresses "harassment" that clearly leads to physical or mental harm in the context of domestic violence.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
The "There is paid parental leave (1=yes; 0=no)" indicator page provides information on the following indicators:
There is paid parental leave (1=yes; 0=no)
Definition: The indicator measures whether both parents are legally entitled to some form of full-time paid parental leave either shared between mother and father or as an individual entitlement that each can take regardless of the other.
Source: World Bank: Women, Business and the Law. https://wbl.worldbank.org/
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025.
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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 07, 2025
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: September 25, 2025
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
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, DHS Program (ICF), 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, DHS Program (ICF), 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