The "Employment in senior and middle management, female (%)" 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 (%)
- Fertility rate, total (births per woman)
- Heads of households, female (% of households with a female head)
- Life expectancy at age 60 (years)
- Life expectancy at birth (years)
- Mean age at first marriage
- Migrants, female (% of international migrant stock)
- Population (age group as % of total population)
- Population (number)
- Population, female (% of total population)
- Rural population (%)
- Sex ratio at birth (male births per female births)
- Urban 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)
- Law prohibits discrimination in employment based on gender (1=yes; 0=no)
- Maternal mortality ratio (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 (%)
- Pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
- 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)
- 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 (% of children ages 7-14)
- Children out of school, primary (Number)
- Completeness of birth registration (%)
- Educational attainment by level of education, cumulative (% population 25+)
- Fraction of Children Under 5 Not Stunted
- Gross intake ratio in grade 1, 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 (years)
- Lower secondary completion rate (% 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
- 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 (% of relevant age group)
- Primary completion rate, 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 (%)
- Sex ratio at birth (male births per female births)
- Share of all students in lower secondary education enrolled in vocational programmes (%)
- Students in lower secondary vocational education, female (%)
- 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 (%)
- Gross graduation ratio, tertiary (%)
- Incidence of HIV (per 1,000 uninfected population)
- Labor force participation rate (% of population)
- Literacy rate (%)
- Literacy rate, gender parity index (youth ages 15-24)
- 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)
- School enrollment, gender parity index
- School enrollment, secondary (%)
- 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 graduates in Business, Administration and Law programmes, female (%)
- Share of graduates in Information and Communication Technologies programmes, female (%)
- Share of graduates in other fields than Science, Technology, Engineering and Mathematics programmes, female (%)
- Share of youth not in education, employment or training (% of youth population)
- Students in post-secondary non-tertiary vocational education, female (%)
- Students in secondary education enrolled in vocational programmes, male (%)
- Students in upper secondary vocational education, female (%)
- Unemployment (%)
- Vocational and technical enrolment (% of total secondary enrolment)
- 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 (number)
- Youth illiterate population, 15-24 years, female (%)
- 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+)
- Borrowed any money from a formal financial institution or using a mobile money account (% age 15+)
- Borrowed any money in the past year (% age 15+)
- Borrowed for education or school fees (% age 15+)
- Borrowed for health or medical purposes (% age 15+)
- Borrowed from a financial institution (% age 15+)
- Borrowed from a savings club (% age 15+)
- Borrowed from a store by buying on credit (% age 15+)
- Borrowed from family or friends (% age 15+)
- Borrowed to start, operate, or expand a farm or business (% age 15+)
- Coming up with emergency funds in 30 days: not possible (% age 15+)
- Coming up with emergency funds in 30 days: possible (% age 15+)
- Coming up with emergency funds in 7 days: possible (% age 15+)
- Credit card ownership (% age 15+)
- Debit card ownership (% age 15+)
- Experience or continue to experience severe financial hardship as a result of the disruption caused by COVID-19 (% age 15+)
- Female and male surviving spouses have equal rights to inherit assets (1=yes; 0=no)
- Financial institution account (% age 15+)
- Has an inactive account (% age 15+)
- Made digital payments in the past year (% age 15+)
- Made or received digital payments in the past year (% age 15+)
- Mobile money account (% age 15+)
- Most worrying financial issue (% age 15+)
- Ownership of a house (%)
- Ownership of land (%)
- Paid school fees in the past year (% age 15+)
- Paid utility bills in the past year (% age 15+)
- People with a national identity card or equivalent foundational identity document (% ages 15+)
- Received a public sector pension in the past year (% age 15+)
- Received digital payments in the past year (% age 15+)
- Received domestic remittances in the past year (% age 15+)
- Received government payments in the past year (% age 15+)
- Received government transfer or pension (% age 15+)
- Received government transfers in the past year (% age 15+)
- Received payments for the sale of agricultural products, livestock, or crops (% age 15+)
- Saved any money in the past year (% age 15+)
- Saved at a financial institution (% age 15+)
- Saved at a financial institution or using a mobile money account (% age 15+)
- Saved for education or school fees (% age 15+)
- Saved for old age (% age 15+)
- Saved money using a mobile money account (% age 15+)
- Saved to start, operate, or expand a farm or business (% age 15+)
- Saved using a savings club or a person outside the family (% age 15+)
- Sent domestic remittances in the past year (% age 15+)
- Sent or received domestic remittances in the past year (% age 15+)
- Sons and daughters have equal rights to inherit assets from their parents (1=yes; 0=no)
- 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)
- Used a mobile phone or the internet to access an account (% with an account, age 15+)
- Used a mobile phone or the internet to buy something online in the past year(% age 15+)
- Used a mobile phone or the internet to pay bills in the past year (% 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)
- Worried about not being able to pay for medical costs in case of a serious illness or accident (% age 15+)
- Worried about not being able to pay school fees or fees for education (% age 15+)
- Worried about not having enough money for monthly expenses or bills (% age 15+)
- Worried about not having enough money for old age (% age 15+)
- Adjusted net enrollment rate, primary (% of primary school age children)
- Borrowed for education or school fees (% age 15+)
- Children out of school, primary (Number)
- Educational attainment by level of education, cumulative (% population 25+)
- Expected Years of School
- Expected years of schooling
- Gross graduation ratio, tertiary (%)
- Gross intake ratio in grade 1, total (% of relevant age group)
- Harmonized Test Scores
- Human Capital Index (HCI) (scale 0-1)
- Human Capital Index, Lower Bound (scale 0-1)
- Human Capital Index, 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, gender parity index (youth ages 15-24)
- Lower secondary completion rate (% of relevant age group)
- Net intake rate in grade 1 (% of official school-age population)
- Paid school fees in the past year (% age 15+)
- Persistence to grade 5 (% of cohort)
- Primary completion rate (% of relevant age group)
- Primary completion rate, 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 (%)
- School enrollment, secondary (%)
- 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 graduates in Business, Administration and Law programmes, female (%)
- Share of graduates in Information and Communication Technologies programmes, female (%)
- Share of graduates in other fields than Science, Technology, Engineering and Mathematics programmes, female (%)
- Share of youth not in education, employment or training (% of youth population)
- Students in lower secondary vocational education, female (%)
- Students in post-secondary non-tertiary vocational education, female (%)
- Students in secondary education enrolled in vocational programmes, male (%)
- Students in upper secondary vocational education, female (%)
- Tertiary education, academic staff (% female)
- Vocational and technical enrolment (% of total secondary enrolment)
- Youth illiterate population, 15-24 years (number)
- Youth illiterate population, 15-24 years, female (%)
- 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 (% 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 (% of employment) (modeled ILO estimate)
- Employment by sector (%)
- Employment in senior and middle management, female (%)
- Employment to population ratio (%)
- Informal employment (% of total non-agricultural employment)
- Labor force (number)
- Labor force by level of education (%)
- Labor force participation rate (% of population)
- Labor force, female (% of total labor force)
- Law mandates equal remuneration for females and males for work of equal value (1=yes; 0=no)
- Law prohibits discrimination in employment based on gender (1=yes; 0=no)
- Length of paid leave (calendar days)
- Length of 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 (% of employment)
- Proportion of time spent on unpaid domestic and care work (% of 24 hour day)
- Ratio of female to male labor force participation rate (%)
- Ratio of female to male youth unemployment rate (% ages 15-24)
- Retirement age by type of benefits
- Self-employed (% of employment) (modeled ILO estimate)
- Share of youth not in education, employment or training (% 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 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 child care 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 (% of employment) (modeled ILO estimate)
- Wage and salaried workers (% of 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, operate, or expand a farm or 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
- Saved to start, operate, or expand a farm or business (% age 15+)
- 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)
- 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)
- Received payments for the sale of agricultural products, livestock, or crops (% age 15+)
- 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 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 (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), with Hb<120 g/L
- Prevalence of anemia among pregnant women (any age), with Hb<110 g/L
- 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, 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 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
- Share of population ages 15+ living with HIV, female (%)
- 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 (%)
- 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)
- Knowledge of contraception methods (%)
- Mean age at first marriage
- Proportion of women who have ever experienced any form of sexual violence (% of women age 15-49)
- There is no legal provision that requires 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+)
- Borrowed any money from a formal financial institution or using a mobile money account (% age 15+)
- Made a digital in-store merchant payment: using a mobile phone (% age 15+)
- Made digital payments in the past year (% age 15+)
- Made or received digital payments in the past year (% age 15+)
- Mobile money account (% age 15+)
- Received digital payments in the past year (% age 15+)
- Saved at a financial institution or using a mobile money account (% age 15+)
- Saved money using a mobile money account (% age 15+)
- Share of graduates by field, female (%)
- Share of graduates in Information and Communication Technologies programmes, female (%)
- Used a mobile phone or the internet to access an account (% with an account, age 15+)
- Used a mobile phone or the internet to buy something online in the past year(% age 15+)
- Used a mobile phone or the internet to pay bills in the past year (% age 15+)
- Used a mobile phone or the internet to send money (% 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 (%)
- Proportion of women who have ever experienced any form of sexual violence (% of women age 15-49)
- Proportion of women who have ever experienced intimate partner violence (%)
- Proportion of women who have 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)
- Proportion of women who have 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)
- Proportion of women who have sought help to stop physical or sexual violence (% of women age 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 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 were first married by age 15 or 18 (% of women ages 20-24)
- Women who 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 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)
- Can use a mobile money account without help from anyone, including a mobile money agent (% age 15+)
- Can use a mobile money account without help from anyone, including a mobile money agent (% with a mobile money account, age 15+)
- Can use account at a bank or financial institution without help if opened (% without an account, age 15+)
- Children out of school (% of primary school age)
- Death rate, crude (per 1,000 people)
- GDP (current US$)
- GDP growth (annual %)
- GDP per capita (constant 2010 US$)
- 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 (World Bank estimate)
- Government expenditure on education, total (% of GDP)
- Government expenditure on education, total (% of GDP)
- Government expenditure on education, total (% of GDP)
- 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 %)
- 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)
- Made a digital in-store merchant payment for the first time after COVID-19 started (% age 15+)
- Made a digital in-store merchant payment for the first time after COVID-19 started (% who made a digital in-store payment, age 15+)
- Made a digital online payment for an online purchase for the first time after COVID-19 started (% age 15+)
- Made a utility payment: using an account for the first time after COVID-19 started (% age 15+)
- 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 financial institutions are too far away (% age 15+)
- No account because financial institutions are too far away (% without an account, age 15+)
- No account because financial services are too expensive (% age 15+)
- No account because financial services are too expensive (% without an account, age 15+)
- No account because of a lack of necessary documentation (% age 15+)
- No account because of a lack of necessary documentation (% without an account, age 15+)
- No account because of a lack of trust in financial institutions (% age 15+)
- No account because of a lack of trust in financial institutions (% without an account, age 15+)
- No account because of insufficient funds (% age 15+)
- No account because of insufficient funds (% without an account, age 15+)
- No account because of religious reasons (% age 15+)
- No account because of religious reasons (% without an account, age 15+)
- No account because someone in the family has one (% age 15+)
- No account because someone in the family has one (% without an account, 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 $2.15 a day (2017 PPP) (% of population)
- Poverty headcount ratio at national poverty lines (% of population)
- Reason for not having a mobile money account: available mobile money products are too expensive (% age 15+)
- Reason for not having a mobile money account: available mobile money products are too expensive (% without an account, age 15+)
- Reason for not having a mobile money account: do not have their own mobile phone (% age 15+)
- Reason for not having a mobile money account: do not have their own mobile phone (% without an account, age 15+)
- Reason for not having a mobile money account: don't have enough money to use a mobile money account (% age 15+)
- Reason for not having a mobile money account: don't have enough money to use a mobile money account (% without an account, age 15+)
- Reason for not having a mobile money account: don't have the necessary documentation (% age 15+)
- Reason for not having a mobile money account: don't have the necessary documentation (% without an account, age 15+)
- Reason for not having a mobile money account: mobile money agents are too far away (% age 15+)
- Reason for not having a mobile money account: mobile money agents are too far away (% without an account, age 15+)
- Reason for not having a mobile money account: use an agent or someone else to make payments (% age 15+)
- Reason for not having a mobile money account: use an agent or someone else to make payments (% without an account, age 15+)
- Reason for not using their inactive account: bank or financial institution is too far away (% age 15+)
- Reason for not using their inactive account: bank or financial institution is too far away (% with an inactive account, age 15+)
- Reason for not using their inactive account: don't feel comfortable using an account by themselves (% with an inactive account, age 15+)
- Reason for not using their inactive account: don't feel comfortable using the account by themselves (% age 15+)
- Reason for not using their inactive account: don't have enough money to use an account (% age 15+)
- Reason for not using their inactive account: don't have enough money to use an account (% with an inactive account, age 15+)
- Reason for not using their inactive account: don't trust banks or financial institutions (% age 15+)
- Reason for not using their inactive account: don't trust banks or financial institutions (% with an inactive account, age 15+)
- Reason for not using their inactive account: no need for an account (% age 15+)
- Reason for not using their inactive account: no need for an account (% with an inactive account, age 15+)
- Use a mobile money account two or more times a month (% age 15+)
- Use a mobile money account two or more times a month (% with a mobile money account, age 15+)
- Withdrew money from a financial institution account 2 or more times a month (% age 15+)
- Withdrew money from a financial institution account 2 or more times a month (% who had withdrawn money, 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: Firms with female top manager refers to the percentage of firms in the private sector who have females as top managers. Top manager refers to the highest ranking manager or CEO of the establishment. This person may be the owner if he/she works as the manager of the firm. The results are based on surveys of more than 100,000 private firms.
Source: World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
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: Inter-Parliamentary Union (IPU) (www.ipu.org). For the year of 1998, the data is as of August 10, 1998.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
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: 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, 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: 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, 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: 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, 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 (% 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 project based on data from ILO, UNICEF and the World Bank.
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 project based on data from ILO, UNICEF and the World Bank.
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 project based on data from ILO, UNICEF and the World Bank.
The "Children out of school, primary (Number)" 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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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 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 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 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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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 grade 1, 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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
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 and 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 and 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 and UIS
The "Life expectancy at birth (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: (1) United Nations Population Division. World Population Prospects: 2022 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
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: (1) United Nations Population Division. World Population Prospects: 2022 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
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: (1) United Nations Population Division. World Population Prospects: 2022 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
The "Lower secondary completion rate (% 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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
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: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
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: 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 "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: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
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: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
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: 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 "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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
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: 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 "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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: 2022 Revision.
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: United Nations Population Division. World Population Prospects: 2022 Revision.
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: United Nations Population Division. World Population Prospects: 2022 Revision.
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 Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2022 Revision.
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 Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2022 Revision.
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: (1) United Nations Population Division. World Population Prospects: 2022 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
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 Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2022 Revision.
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 Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2022 Revision.
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: 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: 2022 Revision.
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 Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2022 Revision.
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 Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2022 Revision.
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 Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2022 Revision.
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 Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2022 Revision.
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 Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2022 Revision.
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 Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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: 2022 Revision.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
The "Primary completion rate (% 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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
The "Primary completion rate, 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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed October 24, 2022. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed October 24, 2022. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed October 24, 2022. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed October 24, 2022. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed October 24, 2022. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed October 24, 2022. https://apiportal.uis.unesco.org/bdds.
The "School enrollment, primary (%)" 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 (http://uis.unesco.org/). Data as of February 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
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: UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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. The data are 5 year averages.
Source: United Nations Population Division. World Population Prospects: 2022 Revision.
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 "Students in lower secondary vocational education, 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 "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: United Nations Population Division, World Population Prospects.
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.
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: UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
The "Borrowed for health or medical purposes (% age 15+)" indicator page provides information on the following indicators:
Borrowed for health or medical purposes, female (% age 15+)
Definition: The percentage of respondents who report borrowing any money for health or medical purposes in the past year, female (% age 15+)
Source: Global Findex database
Borrowed for health or medical purposes, male (% age 15+)
Definition: The percentage of respondents who report borrowing any money for health or medical purposes in the past year, male (% age 15+)
Source: Global Findex database
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.
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: 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, 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: 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, 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: 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, 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, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations 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, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations 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 (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
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: (1) United Nations Population Division. World Population Prospects: 2022 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
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.
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.
The "Intermittent Preventive Treatment 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: WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023
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: WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023
The "Maternal mortality ratio (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: WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023
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: 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.
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/).
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/).
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/).
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/).
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: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
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: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
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: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
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/).
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/).
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/).
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/).
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: (1) United Nations Population Division. World Population Prospects: 2022 Revision. (2) HMD. Human Mortality Database. Max Planck Institute for Demographic Research (Germany), University of California, Berkeley (USA), and French Institute for Demographic Studies (France). Available at www.mortality.org.
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: (1) United Nations Population Division. World Population Prospects: 2022 Revision. (2) HMD. Human Mortality Database. Max Planck Institute for Demographic Research (Germany), University of California, Berkeley (USA), and French Institute for Demographic Studies (France). Available at www.mortality.org.
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: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
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: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
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: 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 "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: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
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: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
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: 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 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: 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 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: WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023
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: UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
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.
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.
The "Prevalence of anemia among non-pregnant women (% of women ages 15-49), with Hb<120 g/L" 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: World Health Organization, Global Health Observatory Data Repository/World Health Statistics.
The "Prevalence of anemia among pregnant women (any age), with Hb<110 g/L" 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: World Health Organization, Global Health Observatory Data Repository/World Health Statistics.
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: World Health Organization, Global Health Observatory Data Repository/World Health Statistics.
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: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
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: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
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: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
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, 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 "Share of population ages 15+ living with HIV, female (%)" 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.
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/).
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/).
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/).
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: United Nations Population Division. World Population Prospects: 2022 Revision.
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: United Nations Population Division. World Population Prospects: 2022 Revision.
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: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
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: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
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: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
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, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations 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
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)
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 "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 (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.
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: Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
Source: UN Office on Drugs and Crime's International Homicide Statistics database.
Intentional homicides, male (per 100,000 male)
Definition: Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
Source: UN Office on Drugs and Crime's International Homicide Statistics database.
Intentional homicides (per 100,000 people)
Definition: Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
Source: UN Office on Drugs and Crime's International Homicide Statistics database.
The "Proportion of women subjected to physical and/or sexual violence in the last 12 months (%)" 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 Statistics Division (UNSD)
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)
The "Proportion of women who have ever experienced any form of sexual violence (% of women age 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 (%)" 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)
The "Proportion of women who have 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 "Proportion of women who have 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 "Proportion of women who have sought help to stop physical or sexual violence (% of women age 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/).
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/).
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/).
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), Multiple Indicator Cluster Surveys (MICS), and other surveys
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), Multiple Indicator Cluster Surveys (MICS), and other surveys
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), Multiple Indicator Cluster Surveys (MICS), and other surveys
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), 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 (%): 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), Multiple Indicator Cluster Surveys (MICS), and other surveys
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), 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 (%): 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 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 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; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), AIDS Indicator Surveys(AIS), Reproductive Health Survey(RHS), and other household surveys.
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; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), AIDS Indicator Surveys(AIS), Reproductive Health Survey(RHS), and other household surveys.
The "Women who 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 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 "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 age 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 "There is no legal provision that requires 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
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)
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), Multiple Indicator Cluster Surveys (MICS), and other surveys
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), Multiple Indicator Cluster Surveys (MICS), and other surveys
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), Multiple Indicator Cluster Surveys (MICS), and other surveys
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), 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 (%): 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), Multiple Indicator Cluster Surveys (MICS), and other surveys
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), 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 (%): 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; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), AIDS Indicator Surveys(AIS), Reproductive Health Survey(RHS), and other household surveys.
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; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), AIDS Indicator Surveys(AIS), Reproductive Health Survey(RHS), and other household surveys.
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: United Nations Population Division, World Population Prospects.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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: UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.
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. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
Source: International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed February 06, 2024. https://ilostat.ilo.org/data/.
Employment to population ratio, 15+, female (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
Source: International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed February 06, 2024. https://ilostat.ilo.org/data/.
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. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
Source: International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed February 06, 2024. https://ilostat.ilo.org/data/.
Employment to population ratio, 15+, male (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
Source: International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed February 06, 2024. https://ilostat.ilo.org/data/.
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. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
Source: International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed February 06, 2024. https://ilostat.ilo.org/data/.
Employment to population ratio, 15+, total (%) (national estimate)
Definition: Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.
Source: International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed February 06, 2024. https://ilostat.ilo.org/data/.
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. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.
Source: International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed February 06, 2024. https://ilostat.ilo.org/data/.
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. Employment is defined as persons of working age who, during a short reference period, were engag