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Indicator
- Account (% age 15+)
- Account, female (% age 15+)
- Account, male (% age 15+)
- Borrowed any money (% age 15+)
- Borrowed any money, female (% age 15+)
- Borrowed any money, male (% age 15+)
- First financial institution account ever was opened to receive a wage payment (% age 15+)
- First financial institution account ever was opened to receive a wage payment or money from the government (% age 15+)
- First financial institution ever account was opened to receive money from the government (% age 15+)
- Financial institution account (% age 15+)
- Financial institution account, female (% age 15+)
- Financial institution account, male (% 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: 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+)
- 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 feel comfortable using the account by themselves (% 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 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+)
- 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- Withdrew money from a financial institution account 2 or more times a month (% who had withdrawn money, age 15+)
- Can use account at a bank or financial institution without help if opened (% without an account, age 15+)
- 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 religious reasons (% age 15+)
- No account because of religious reasons (% 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 someone in the family has one (% age 15+)
- No account because someone in the family has one (% 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: 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: 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: 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: 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 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+)
- 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+)
- 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+)
- Made a digital in-store merchant payment: using a mobile phone (% age 15+)
- Made a digital in-store merchant payment: using a mobile phone, female (% age 15+)
- Made a digital in-store merchant payment: using a mobile phone, male (% age 15+)
- 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+)
- Used a mobile phone or the internet to pay bills (% age 15+)
- Used a mobile phone or the internet to pay bills, female (% age 15+)
- Used a mobile phone or the internet to pay bills, male (% age 15+)
- Used a mobile phone or the internet to send money (% age 15+)
- Used a mobile phone or the internet to send money, female (% age 15+)
- Used a mobile phone or the internet to send money, male (% age 15+)
- Used a mobile phone or the internet to buy something online (% age 15+)
- Used a mobile phone or the internet to buy something online, female (% age 15+)
- Used a mobile phone or the internet to buy something online, male (% age 15+)
- Made a digital online payment for an online purchase for the first time after COVID-19 started (% age 15+)
- Saved to start, operate, or expand a farm or business (% age 15+)
- Saved to start, operate, or expand a farm or business, female (% age 15+)
- Saved to start, operate, or expand a farm or business, male (% age 15+)
- Saved for old age (% age 15+)
- Saved for old age, female (% age 15+)
- Saved for old age, male (% age 15+)
- Saved at a financial institution or using a mobile money account (% age 15+)
- Saved at a financial institution or using a mobile money account, female (% age 15+)
- Saved at a financial institution or using a mobile money account, male (% age 15+)
- Saved at a financial institution (% age 15+)
- Saved at a financial institution, female (% age 15+)
- Saved at a financial institution, male (% age 15+)
- Saved money using a mobile money account (% age 15+)
- Saved money using a mobile money account, female (% age 15+)
- Saved money using a mobile money account, male (% age 15+)
- Saved using a savings club or a person outside the family (% age 15+)
- Saved using a savings club or a person outside the family, female (% age 15+)
- Saved using a savings club or a person outside the family, male (% age 15+)
- Saved for education or school fees (% age 15+)
- Saved for education or school fees, female (% age 15+)
- Saved for education or school fees, male (% age 15+)
- Owns a debit or credit card (% age 15+)
- Owns a debit or credit card, female (% age 15+)
- Owns a debit or credit card, male (% age 15+)
- Owns a debit card (% age 15+)
- Owns a debit card, female (% age 15+)
- Owns a debit card, male (% age 15+)
- Borrowed for health or medical purposes (% age 15+)
- Borrowed for health or medical purposes, female (% age 15+)
- Borrowed for health or medical purposes, male (% age 15+)
- Borrowed to start, operate, or expand a farm or business (% age 15+)
- Borrowed to start, operate, or expand a farm or business, female (% age 15+)
- Borrowed to start, operate, or expand a farm or business, male (% age 15+)
- Borrowed from a store by buying on credit (% age 15+)
- Borrowed from a store by buying on credit, female (% age 15+)
- Borrowed from a store by buying on credit, male (% age 15+)
- Borrowed for education or school fees (% age 15+)
- Borrowed for education or school fees, female (% age 15+)
- Borrowed for education or school fees, male (% age 15+)
- Borrowed any money from a formal financial institution or using a mobile money account (% age 15+)
- Borrowed any money from a formal financial institution or using a mobile money account, female (% age 15+)
- Borrowed any money from a formal financial institution or using a mobile money account, male (% age 15+)
- Borrowed from a formal financial institution (% age 15+)
- Borrowed from a formal financial institution, female (% age 15+)
- Borrowed from a formal financial institution, male (% age 15+)
- Borrowed from family or friends (% age 15+)
- Borrowed from family or friends, female (% age 15+)
- Borrowed from family or friends, male (% age 15+)
- Borrowed from a savings club (% age 15+)
- Borrowed from a savings club, female (% age 15+)
- Borrowed from a savings club, male (% age 15+)
- Coming up with emergency funds in 30 days: possible and very difficult (% age 15+)
- Coming up with emergency funds in 30 days: possible and very difficult, female (% age 15+)
- Coming up with emergency funds in 30 days: possible and very difficult, male (% age 15+)
- Coming up with emergency funds in 30 days: possible and somewhat difficult (% age 15+)
- Coming up with emergency funds in 30 days: possible and somewhat difficult, female (% age 15+)
- Coming up with emergency funds in 30 days: possible and somewhat difficult, male (% age 15+)
- Coming up with emergency funds in 30 days: possible and not difficult at all (% age 15+)
- Coming up with emergency funds in 30 days: possible and not difficult at all, female (% age 15+)
- Coming up with emergency funds in 30 days: possible and not difficult at all, male (% age 15+)
- Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult (% age 15+)
- Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult, female (% age 15+)
- Coming up with emergency funds in 30 days: possible and not difficult or somewhat difficult, male (% age 15+)
- Coming up with emergency funds in 30 days: possible (% age 15+)
- Coming up with emergency funds in 30 days: possible, female (% age 15+)
- Coming up with emergency funds in 30 days: possible, male (% age 15+)
- Coming up with emergency funds in 30 days: not possible (% age 15+)
- Coming up with emergency funds in 30 days: not possible, female (% age 15+)
- Coming up with emergency funds in 30 days: not possible, male (% age 15+)
- Coming up with emergency funds in 7 days: possible and very difficult (% age 15+)
- Coming up with emergency funds in 7 days: possible and very difficult, female (% age 15+)
- Coming up with emergency funds in 7 days: possible and very difficult, male (% age 15+)
- Coming up with emergency funds in 7 days: possible and somewhat difficult (% age 15+)
- Coming up with emergency funds in 7 days: possible and somewhat difficult, female (% age 15+)
- Coming up with emergency funds in 7 days: possible and somewhat difficult, male (% age 15+)
- Coming up with emergency funds in 7 days: possible and not difficult (% age 15+)
- Coming up with emergency funds in 7 days: possible and not difficult, female (% age 15+)
- Coming up with emergency funds in 7 days: possible and not difficult, male (% age 15+)
- Coming up with emergency funds in 7 days: possible and not difficult or somewhat difficult (% age 15+)
- Coming up with emergency funds in 7 days: possible and not difficult or somewhat difficult, female (% age 15+)
- Coming up with emergency funds in 7 days: possible and not difficult or somewhat difficult, male (% age 15+)
- Coming up with emergency funds in 7 days: possible (% age 15+)
- Coming up with emergency funds in 7 days: possible, female (% age 15+)
- Coming up with emergency funds in 7 days: possible, male (% age 15+)
- Sent or received domestic remittances (% age 15+)
- Sent or received domestic remittances, female (% age 15+)
- Sent or received domestic remittances, male (% age 15+)
- Sent domestic remittances (% age 15+)
- Sent domestic remittances, female (% age 15+)
- Sent domestic remittances, male (% age 15+)
- Received domestic remittances (% age 15+)
- Received domestic remittances, female (% age 15+)
- Received domestic remittances, male (% age 15+)
- Made a utility payment (% age 15+)
- Made a utility payment, female (% age 15+)
- Made a utility payment, male (% age 15+)
- Made a utility payment: using an account for the first time after COVID-19 started (% age 15+)
- Paid school fees (% age 15+)
- Paid school fees, female (% age 15+)
- Paid school fees, male (% age 15+)
- Received government transfer or pension (% age 15+)
- Received government transfer or pension, female (% age 15+)
- Received government transfer or pension, male (% age 15+)
- Received government transfer (% age 15+)
- Received government transfer, female (% age 15+)
- Received government transfer, male (% age 15+)
- Received a public sector pension (% age 15+)
- Received a public sector pension, female (% age 15+)
- Received a public sector pension, male (% age 15+)
- Received payments for the sale of agricultural products, livestock, or crops (% age 15+)
- Received payments for the sale of agricultural products, livestock, or crops, female (% age 15+)
- Received payments for the sale of agricultural products, livestock, or crops, male (% age 15+)
- Worried about not having enough money for old age: very worried (% age 15+)
- Worried about not having enough money for old age: very worried, female (% age 15+)
- Worried about not having enough money for old age: very worried, male (% age 15+)
- Worried about not having enough money for old age: somewhat worried (% age 15+)
- Worried about not having enough money for old age: somewhat worried, female (% age 15+)
- Worried about not having enough money for old age: somewhat worried, male (% age 15+)
- Worried about not having enough money for old age: not worried at all (% age 15+)
- Worried about not having enough money for old age: not worried at all, female (% age 15+)
- Worried about not having enough money for old age: not worried at all, male (% age 15+)
- Worried about not being able to pay for medical costs in case of a serious illness or accident: very worried (% age 15+)
- Worried about not being able to pay for medical costs in case of a serious illness or accident: very worried, female (% age 15+)
- Worried about not being able to pay for medical costs in case of a serious illness or accident: very worried, male (% age 15+)
- Worried about not being able to pay for medical costs in case of a serious illness or accident: somewhat worried (% age 15+)
- Worried about not being able to pay for medical costs in case of a serious illness or accident: somewhat worried, female (% age 15+)
- Worried about not being able to pay for medical costs in case of a serious illness or accident: somewhat worried, male (% age 15+)
- Worried about not being able to pay for medical costs in case of a serious illness or accident: not worried at all, female (% age 15+)
- Worried about not being able to pay for medical costs in case of a serious illness or accident: not worried at all, male (% age 15+)
- Worried about not having enough money for monthly expenses or bills: very worried (% age 15+)
- Worried about not having enough money for monthly expenses or bills: very worried, female (% age 15+)
- Worried about not having enough money for monthly expenses or bills: very worried, male (% age 15+)
- Worried about not having enough money for monthly expenses or bills: somewhat worried (% age 15+)
- Worried about not having enough money for monthly expenses or bills: somewhat worried, female (% age 15+)
- Worried about not having enough money for monthly expenses or bills: somewhat worried, male (% age 15+)
- Worried about not having enough money for monthly expenses or bills: not worried at all (% age 15+)
- Worried about not having enough money for monthly expenses or bills: not worried at all, female (% age 15+)
- Worried about not having enough money for monthly expenses or bills: not worried at all, male (% age 15+)
- Worried about not being able to pay school fees or fees for education: very worried (% age 15+)
- Worried about not being able to pay school fees or fees for education: very worried, female (% age 15+)
- Worried about not being able to pay school fees or fees for education: very worried, male (% age 15+)
- Worried about not being able to pay school fees or fees for education: somewhat worried (% age 15+)
- Worried about not being able to pay school fees or fees for education: somewhat worried, female (% age 15+)
- Worried about not being able to pay school fees or fees for education: somewhat worried, male (% age 15+)
- Worried about not being able to pay school fees or fees for education: not worried at all (% age 15+)
- Worried about not being able to pay school fees or fees for education: not worried at all, female (% age 15+)
- Worried about not being able to pay school fees or fees for education: not worried at all, male (% age 15+)
- Experience or continue to experience severe financial hardship as a result of the disruption caused by COVID-19: very worried (% age 15+)
- Experience or continue to experience severe financial hardship as a result of the disruption caused by COVID-19: very worried, female (% age 15+)
- Experience or continue to experience severe financial hardship as a result of the disruption caused by COVID-19: very worried, male (% age 15+)
- Experience or continue to experience severe financial hardship as a result of the disruption caused by COVID-19: somewhat worried (% age 15+)
- Experience or continue to experience severe financial hardship as a result of the disruption caused by COVID-19: somewhat worried, female (% age 15+)
- Experience or continue to experience severe financial hardship as a result of the disruption caused by COVID-19: somewhat worried, male (% age 15+)
- Experience or continue to experience severe financial hardship as a result of the disruption caused by COVID-19: not worried (% age 15+)
- Experience or continue to experience severe financial hardship as a result of the disruption caused by COVID-19: not worried, female (% age 15+)
- Experience or continue to experience severe financial hardship as a result of the disruption caused by COVID-19: not worried, male (% age 15+)
- Most worrying financial issue: money for old age (% age 15+)
- Most worrying financial issue: money for old age, female (% age 15+)
- Most worrying financial issue: money for old age, male (% age 15+)
- Most worrying financial issue: paying for medical costs in case of a serious illness or accident (% age 15+)
- Most worrying financial issue: paying for medical costs in case of a serious illness or accident, female (% age 15+)
- Most worrying financial issue: paying for medical costs in case of a serious illness or accident, male (% age 15+)
- Most worrying financial issue: money to pay for monthly expenses or bills (% age 15+)
- Most worrying financial issue: money to pay for monthly expenses or bills, female (% age 15+)
- Most worrying financial issue: money to pay for monthly expenses or bills, male (% age 15+)
- Most worrying financial issue: paying school or education fees (% age 15+)
- Most worrying financial issue: paying school or education fees, female (% age 15+)
- Most worrying financial issue: paying school or education fees, male (% age 15+)
- Used a mobile phone or the internet to access an account(% age 15+)
- Used a mobile phone or the internet to access an account, female (% age 15+)
- Used a mobile phone or the internet to access an account, male (% age 15+)
- Owns a credit card (% age 15+)
- Owns a credit card, female (% age 15+)
- Owns a credit card, male (% age 15+)
- Has an inactive account (% age 15+)
- Has an inactive account, female (% age 15+)
- Has an inactive account, male (% age 15+)
- Received government payments (% age 15+)
- Received government payments, female (% age 15+)
- Received government payments, male (% age 15+)
- Inflation, consumer prices (annual %)
- Made a digital payment (% age 15+)
- Made a digital payment, female (% age 15+)
- Made a digital payment, male (% age 15+)
- Received digital payments (% age 15+)
- Received digital payments, female (% age 15+)
- Received digital payments, male (% age 15+)
- Made or received a digital payment (% age 15+)
- Made or received a digital payment, female (% age 15+)
- Made or received a digital payment, male (% age 15+)
- Survival Rate from Age 15-60
- Survival Rate from Age 15-60, Female
- Survival Rate from Age 15-60, Male
- Expected Years of School
- Expected Years of School, Female
- Expected Years of School, Male
- Harmonized Test Scores
- Harmonized Test Scores, Female
- Harmonized Test Scores, Male
- Learning-Adjusted Years of School
- Learning-Adjusted Years of School, Female
- Learning-Adjusted Years of School, Male
- Probability of Survival to Age 5
- Probability of Survival to Age 5, Female
- Probability of Survival to Age 5, Male
- Human capital index (HCI) (scale 0-1)
- Human capital index (HCI), female (scale 0-1)
- Human capital index (HCI), lower bound (scale 0-1)
- Human capital index (HCI), female, lower bound (scale 0-1)
- Human capital index (HCI), male, lower bound (scale 0-1)
- Human capital index (HCI), male (scale 0-1)
- Human capital index (HCI), upper bound (scale 0-1)
- Human capital index (HCI), female, upper bound (scale 0-1)
- Human capital index (HCI), male, upper bound (scale 0-1)
- Fraction of Children Under 5 Not Stunted
- Fraction of Children Under 5 Not Stunted, Female
- Fraction of Children Under 5 Not Stunted, Male
- Firms with female top manager (% of firms)
- Firms with female participation in ownership (% of firms)
- Cost of business start-up procedures, female (% of GNI per capita)
- Cost of business start-up procedures, male (% of GNI per capita)
- Cost of business start-up procedures (% of GNI per capita)
- Time required to start a business (days)
- Time required to start a business, female (days)
- Time required to start a business, male (days)
- Start-up procedures to register a business (number)
- Start-up procedures to register a business, female (number)
- Start-up procedures to register a business, male (number)
- Number of female directors
- Share of female directors (% of total directors)
- Number of male directors
- Share of male directors (% of total directors)
- Number of female business owners
- Share of female business owners (% of total business owners)
- Number of male business owners
- Share of male business owners (% of total business owners)
- Number of female sole proprietors
- Share of female sole proprietors (% of sole proprietors)
- Number of male sole proprietors
- Share of male sole proprietors (% of sole proprietors)
- ID ownership, female (% age 15+)
- ID ownership, male (% age 15+)
- Has access to the Internet (% age 15+)
- Individuals using the Internet, female (% of female population)
- Individuals using the Internet, male (% of male population)
- Individuals using the Internet (% of population)
- Made a digital merchant payment for the first time after COVID-19 started (% age 15+)
- Made a digital merchant payment for the first time after COVID-19 started (% who made a digital merchant payment, age 15+)
- Made a digital merchant payment (% age 15+)
- Made a digital merchant payment, female (% age 15+)
- Made a digital merchant payment, male (% age 15+)
- Mobile money account (% age 15+)
- Mobile money account, female (% age 15+)
- Mobile money account, male (% age 15+)
- GDP (current US$)
- GDP growth (annual %)
- GDP per capita (current US$)
- GDP per capita (constant 2015 US$)
- GNI, Atlas method (current US$)
- GNI per capita, Atlas method (current US$)
- GNI per capita, PPP (current international $)
- Own a mobile phone (% age 15+)
- Saved any money (% age 15+)
- Saved any money, female (% age 15+)
- Saved any money, male (% age 15+)
- Literacy rate, youth female (% of females ages 15-24)
- Literacy rate, youth (ages 15-24), gender parity index (GPI)
- Literacy rate, youth male (% of males ages 15-24)
- Literacy rate, youth total (% of people ages 15-24)
- Literacy rate, adult female (% of females ages 15 and above)
- Literacy rate, adult male (% of males ages 15 and above)
- Literacy rate, adult total (% of people ages 15 and above)
- School enrollment, primary (gross), gender parity index (GPI)
- School enrollment, primary and secondary (gross), gender parity index (GPI)
- School enrollment, secondary (gross), gender parity index (GPI)
- School enrollment, tertiary (gross), gender parity index (GPI)
- Learning poverty: Share of Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)
- Pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
- Female pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
- Male pupils below minimum reading proficiency at end of primary (%). Low GAML threshold
- Learning poverty: Share of Female Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)
- Learning poverty: Share of Male Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)
- Female primary school age children out-of-school (%)
- Male primary school age children out-of-school (%)
- School enrollment, preprimary (% gross)
- School enrollment, preprimary, female (% gross)
- School enrollment, preprimary, male (% gross)
- Primary completion rate, female, based on completers
- Primary completion rate, male, based on completers
- Primary completion rate, total, based on completers
- Primary completion rate, female (% of relevant age group)
- Primary completion rate, male (% of relevant age group)
- Primary completion rate, total (% of relevant age group)
- Educational attainment, at least completed primary, population 25+ years, female (%) (cumulative)
- Educational attainment, at least completed primary, population 25+ years, male (%) (cumulative)
- Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative)
- Primary education, pupils (% female)
- School enrollment, primary (% gross)
- School enrollment, primary, female (% gross)
- School enrollment, primary, male (% gross)
- Gross intake ratio in first grade of primary education, total (% of relevant age group)
- School enrollment, primary (% net)
- School enrollment, primary, female (% net)
- School enrollment, primary, male (% net)
- Net intake rate in grade 1, female (% of official school-age population)
- Net intake rate in grade 1, male (% of official school-age population)
- Net intake rate in grade 1 (% of official school-age population)
- Persistence to grade 5, female (% of cohort)
- Persistence to grade 5, male (% of cohort)
- Primary education, teachers (% female)
- Adjusted net enrollment rate, primary (% of primary school age children)
- Adjusted net enrollment rate, primary, female (% of primary school age children)
- Adjusted net enrollment rate, primary, male (% of primary school age children)
- Children out of school, primary
- Children out of school, primary, female
- Children out of school, primary, male
- Children out of school (% of primary school age)
- Expected years of schooling
- Expected years of schooling, female
- Expected years of schooling, male
- Lower secondary completion rate, female (% of relevant age group)
- Lower secondary completion rate, male (% of relevant age group)
- Lower secondary completion rate, total (% of relevant age group)
- Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative)
- Educational attainment, at least completed lower secondary, population 25+, male (%) (cumulative)
- Educational attainment, at least completed lower secondary, population 25+, total (%) (cumulative)
- Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative)
- Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative)
- Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative)
- Educational attainment, at least completed upper secondary, population 25+, female (%) (cumulative)
- Educational attainment, at least completed upper secondary, population 25+, male (%) (cumulative)
- Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative)
- Vocational and Technical enrolment (% of total secondary enrolment), female
- Secondary education, pupils (% female)
- Percentage of male students in secondary education enrolled in vocational programmes, male (%)
- Secondary education, vocational pupils
- Secondary education, vocational pupils (% female)
- Vocational and Technical enrolment (% of total secondary enrolment), total
- School enrollment, secondary (% gross)
- School enrollment, secondary, female (% gross)
- School enrollment, secondary, male (% gross)
- School enrollment, secondary (% net)
- School enrollment, secondary, female (% net)
- School enrollment, secondary, male (% net)
- Progression to secondary school, female (%)
- Progression to secondary school, male (%)
- Progression to secondary school (%)
- Secondary education, teachers (% female)
- Gross graduation ratio, tertiary, female (%)
- Gross graduation ratio, tertiary, male (%)
- Gross graduation ratio, tertiary, total (%)
- Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative)
- Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative)
- Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative)
- Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative)
- Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative)
- Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative)
- Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative)
- Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative)
- Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative)
- Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative)
- Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative)
- Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative)
- School enrollment, tertiary (% gross)
- School enrollment, tertiary, female (% gross)
- School enrollment, tertiary, male (% gross)
- Female share of graduates in Agriculture, Forestry, Fisheries and Veterinary programmes (%, tertiary)
- Female share of graduates in education (%, tertiary)
- Female share of graduates in engineering, manufacturing and construction (%, tertiary)
- Female share of graduates in health and welfare (%, tertiary)
- Female share of graduates in Arts and Humanities programmes (%, tertiary)
- Female share of graduates in unknown or unspecified fields (%, tertiary)
- Female share of graduates in Natural Sciences, Mathematics and Statistics programmes (%, tertiary)
- Female share of graduates from Science, Technology, Engineering and Mathematics (STEM) programmes, tertiary (%)
- Female share of graduates in Social Sciences, Journalism and Information programmes (%, tertiary)
- Female share of graduates in services (%, tertiary)
- Tertiary education, academic staff (% female)
- Government expenditure per student, primary (% of GDP per capita)
- Government expenditure per student, secondary (% of GDP per capita)
- Government expenditure on education, total (% of GDP)
- There are periods of absence due to childcare accounted for in pension benefits (1=yes; 0=no)
- The age at which women and men can retire with full pension benefits is the same (1=yes; 0=no)
- The mandatory retirement age for women and men 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)
- Mandatory retirement age, female
- Retirement age with full benefits, female
- Retirement age with full benefits, male
- Mandatory retirement age, male
- Retirement age with partial benefits, female
- Retirement age with partial benefits, male
- A woman can apply for a passport 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)
- Main cooking fuel: charcoal (% of households)
- Main cooking fuel: agricultural crop (% of households)
- Main cooking fuel: dung (% of households)
- Main cooking fuel: electricity (% of households)
- Location of cooking: inside the house (% of households)
- Main cooking fuel: LPG/natural gas/biogas (% of households)
- Location of cooking: other places (% of households)
- Location of cooking: outdoors (% of households)
- Location of cooking: separate building (% of households)
- Main cooking fuel: straw/shrubs/grass (% of households)
- Main cooking fuel: wood (% of households)
- A woman can travel outside the country in the same way as a man (1=yes; 0=no)
- Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)
- Women participating in making daily purchase decisions (% of women age 15-49)
- Women participating in decision of what food to cook daily (% of women age 15-49)
- Women participating in own health care decisions (% of women age 15-49)
- Decision maker about a woman's own health care: mainly husband (% of women age 15-49)
- Decision maker about a woman's own health care: other (% of women age 15-49)
- Decision maker about a woman's own health care: someone else (% of women age 15-49)
- Decision maker about a woman's own health care: mainly wife (% of women age 15-49)
- Decision maker about a woman's own health care: wife and husband jointly (% of women age 15-49)
- Women participating in none of the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)
- Women participating in making major household purchase decisions (% of women age 15-49)
- Decision maker about major household purchases: mainly husband (% of women age 15-49)
- Decision maker about major household purchases: other (% of women age 15-49)
- Decision maker about major household purchases: someone else (% of women age 15-49)
- Decision maker about major household purchases: mainly wife (% of women age 15-49)
- Decision maker about major household purchases: wife and husband jointly (% of women age 15-49)
- Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)
- Women participating in decision of visits to family, relatives, friends (% of women age 15-49)
- Decision maker about a woman's visits to her family or relatives: mainly husband (% of women age 15-49)
- Decision maker about a woman's visits to her family or relatives: other (% of women age 15-49)
- Decision maker about a woman's visits to her family or relatives: someone else (% of women age 15-49)
- Decision maker about a woman's visits to her family or relatives: mainly wife (% of women age 15-49)
- Decision maker about Visits to her family or relatives: wife and husband jointly (% of women age 15-49)
- Dismissal of pregnant workers is prohibited (1=yes; 0=no)
- A woman can work in a job deemed dangerous in the same way as a man (1=yes; 0=no)
- Proportion of women in ministerial level positions (%)
- Proportion of seats held by women in national parliaments (%)
- Female professional and technical workers (% of total)
- A woman can get a job in the same way as a man (1=yes; 0=no)
- Households with water on the premises (%)
- Households with water less than 30 minutes away round trip (%)
- Households with water 30 minutes or longer away round trip (%)
- A woman can be "head of household" 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)
- Male and female surviving spouses have equal rights to inherit assets (1=yes; 0=no)
- Sons and daughters have equal rights to inherit assets from their parents (1=yes; 0=no)
- A woman can work in an industrial job in the same way as a man (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)
- Law mandates equal remuneration for females and males for work of equal value (1=yes; 0=no)
- Women Business and the Law Index Score (scale 1-100)
- Women, Business and the Law: Assets Indicator Score (scale 1-100)
- Women, Business and the Law: Entrepreneurship Indicator Score (scale 1-100)
- Women, Business and the Law: Mobility Indicator Score (scale 1-100)
- Women, Business and the Law: Marriage Indicator Score (scale 1-100)
- Women, Business and the Law: Pension Indicator 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: Workplace Indicator Score (scale 1-100)
- The law provides for the valuation of nonmonetary contributions (1=yes; 0=no)
- The law prohibits discrimination in employment based on gender (1=yes; 0=no)
- The law is free of legal provisions that require a married woman to obey her husband (1=yes; 0=no)
- There is legislation specifically addressing domestic violence (1=yes; 0=no)
- There is legislation on sexual harassment in employment (1=yes; 0=no)
- A woman can choose where to live in the same way as a man (1=yes; 0=no)
- 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)
- 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)
- 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 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)
- 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)
- 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 use menstrual materials, rural (% of women and girls ages 15-49 living in rural areas who had a menstrual period within the last year)
- 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)
- Women and girls who use menstrual materials (% of women and girls ages 15-49 who had a menstrual period within the last year)
- A woman can work at night 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)
- Women who own a house both alone and jointly (% of women age 15-49): Q1 (lowest)
- Women who own a house both alone and jointly (% of women age 15-49): Q2
- Women who own a house both alone and jointly (% of women age 15-49): Q3
- Women who own a house both alone and jointly (% of women age 15-49): Q4
- Women who own a house both alone and jointly (% of women age 15-49): Q5 (highest)
- Women who own a house both alone and jointly (% of women age 15-49)
- Men who own a house both alone and jointly (% of men): Q1 (lowest)
- Men who own a house both alone and jointly (% of men): Q2
- Men who own a house both alone and jointly (% of men): Q3
- Men who own a house both alone and jointly (% of men): Q4
- Men who own a house both alone and jointly (% of men): Q5 (highest)
- Men who own a house both alone and jointly (% of men)
- Women who own a house alone (% of women age 15-49): Q1 (lowest)
- Women who own a house alone (% of women age 15-49): Q2
- Women who own a house alone (% of women age 15-49): Q3
- Women who own a house alone (% of women age 15-49): Q4
- Women who own a house alone (% of women age 15-49): Q5 (highest)
- Women who own a house alone (% of women age 15-49)
- Men who own a house alone (% of men): Q1 (lowest)
- Men who own a house alone (% of men): Q2
- Men who own a house alone (% of men): Q3
- Men who own a house alone (% of men): Q4
- Men who own a house alone (% of men): Q5 (highest)
- Men who own a house alone (% of men)
- Women who own a house jointly (% of women age 15-49): Q1 (lowest)
- Women who own a house jointly (% of women age 15-49): Q2
- Women who own a house jointly (% of women age 15-49): Q3
- Women who own a house jointly (% of women age 15-49): Q4
- Women who own a house jointly (% of women age 15-49): Q5 (highest)
- Women who own a house jointly (% of women age 15-49)
- Men who own a house jointly (% of men): Q1 (lowest)
- Men who own a house jointly (% of men): Q2
- Men who own a house jointly (% of men): Q3
- Men who own a house jointly (% of men): Q4
- Men who own a house jointly (% of men): Q5 (highest)
- Men who own a house jointly (% of men)
- Women who do not own a house (% of women age 15-49): Q1 (lowest)
- Women who do not own a house (% of women age 15-49): Q2
- Women who do not own a house (% of women age 15-49): Q3
- Women who do not own a house (% of women age 15-49): Q4
- Women who do not own a house (% of women age 15-49): Q5 (highest)
- Women who do not own a house (% of women age 15-49)
- Men who do not own a house (% of men): Q1 (lowest)
- Men who do not own a house (% of men): Q2
- Men who do not own a house (% of men): Q3
- Men who do not own a house (% of men): Q4
- Men who do not own a house (% of men): Q5 (highest)
- Men who do not own a house (% of men)
- Women who own land both alone and jointly (% of women age 15-49): Q1 (lowest)
- Women who own land both alone and jointly (% of women age 15-49): Q2
- Women who own land both alone and jointly (% of women age 15-49): Q3
- Women who own land both alone and jointly (% of women age 15-49): Q4
- Women who own land both alone and jointly (% of women age 15-49): Q5 (highest)
- Women who own land both alone and jointly (% of women age 15-49)
- Men who own land both alone and jointly (% of men): Q1 (lowest)
- Men who own land both alone and jointly (% of men): Q2
- Men who own land both alone and jointly (% of men): Q3
- Men who own land both alone and jointly (% of men): Q4
- Men who own land both alone and jointly (% of men): Q5 (highest)
- Men who own land both alone and jointly (% of men)
- Women who own land alone (% of women age 15-49): Q1 (lowest)
- Women who own land alone (% of women age 15-49): Q2
- Women who own land alone (% of women age 15-49): Q3
- Women who own land alone (% of women age 15-49): Q4
- Women who own land alone (% of women age 15-49): Q5 (highest)
- Women who own land alone (% of women age 15-49)
- Men who own land alone (% of men): Q1 (lowest)
- Men who own land alone (% of men): Q2
- Men who own land alone (% of men): Q3
- Men who own land alone (% of men): Q4
- Men who own land alone (% of men): Q5 (highest)
- Men who own land alone (% of men)
- Women who own land jointly (% of women age 15-49): Q1 (lowest)
- Women who own land jointly (% of women age 15-49): Q2
- Women who own land jointly (% of women age 15-49): Q3
- Women who own land jointly (% of women age 15-49): Q4
- Women who own land jointly (% of women age 15-49): Q5 (highest)
- Women who own land jointly (% of women age 15-49)
- Men who own land jointly (% of men): Q1 (lowest)
- Men who own land jointly (% of men): Q2
- Men who own land jointly (% of men): Q3
- Men who own land jointly (% of men): Q4
- Men who own land jointly (% of men): Q5 (highest)
- Men who own land jointly (% of men)
- Women who do not own land (% of women age 15-49): Q1 (lowest)
- Women who do not own land (% of women age 15-49): Q2
- Women who do not own land (% of women age 15-49): Q3
- Women who do not own land (% of women age 15-49): Q4
- Women who do not own land (% of women age 15-49): Q5 (highest)
- Women who do not own land (% of women age 15-49)
- Men who do not own land (% of men): Q1 (lowest)
- Men who do not own land (% of men): Q2
- Men who do not own land (% of men): Q3
- Men who do not own land (% of men): Q4
- Men who do not own land (% of men): Q5 (highest)
- Men who do not own land (% of men)
- Women and men have equal ownership rights to immovable property (1=yes; 0=no)
- Criminal penalties or civil remedies exist for sexual harassment in employment (1=yes; 0=no)
- Female migrants (% of international migrant stock)
- A woman has the same rights to remarry as a man (1=yes; 0=no)
- Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q1 (lowest)
- Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q2
- Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q3
- Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q4
- Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%): Q5 (highest)
- Women who believe a wife is justified refusing sex with her husband if she has recently given birth (%)
- Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q1 (lowest)
- Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q2
- Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q3
- Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q4
- Women who believe a wife is justified refusing sex with her husband for none of the reasons (%): Q5 (highest)
- Women who believe a wife is justified refusing sex with her husband for none of the reasons (%)
- Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q1 (lowest)
- Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q2
- Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q3
- Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q4
- Women who believe a wife is justified refusing sex with her husband for all of the reasons (%): Q5 (highest)
- Women who believe a wife is justified refusing sex with her husband for all of the reasons (%)
- Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q1 (lowest)
- Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q2
- Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q3
- Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q4
- Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%): Q5 (highest)
- Women who believe a wife is justified refusing sex with her husband if she knows he has sex with other women (%)
- Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q1 (lowest)
- Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q2
- Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q3
- Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q4
- Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%): Q5 (highest)
- Women who believe a wife is justified refusing sex with her husband if she is tired or not in the mood (%)
- Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q1 (lowest)
- Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q2
- Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q3
- Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q4
- Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%): Q5 (highest)
- Women who believe a wife is justified refusing sex with her husband if she knows he has sexually transmitted disease (%)
- Women who initiated sexual intercourse by age 15 (% of women ages 20-24)
- Men who initiated sexual intercourse by age 15 (% of men ages 20-24)
- Women who initiated sexual intercourse before age 15 (% of women ages 15-19)
- Men who initiated sexual intercourse before age 15 (% of men ages 15-19)
- Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)
- Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)
- Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 15-19)
- Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 15-19)
- Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 15-49)
- Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 15-49)
- Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)
- Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 15+)
- Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 15+)
- Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 20-24)
- Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 20-24)
- Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 25-29)
- Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 25-29)
- Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 30-34)
- Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 30-34)
- Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 35-44)
- Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 35-44)
- Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 45-54)
- Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 45-54)
- Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 55-64)
- Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 55-64)
- Proportion of women who have ever experienced intimate partner violence (modeled estimate, % of ever partnered women ages 65+)
- Proportion of women subjected to physical and/or sexual violence in the last 12 months (modeled estimate, % of ever partnered women ages 65+)
- Proportion of women who have ever experienced any form of sexual violence (% of women ages 15-49)
- Women who believe a husband is justified in beating his wife when she argues with him (%): Q1 (lowest)
- Women who believe a husband is justified in beating his wife when she argues with him (%): Q2
- Women who believe a husband is justified in beating his wife when she argues with him (%): Q3
- Women who believe a husband is justified in beating his wife when she argues with him (%): Q4
- Women who believe a husband is justified in beating his wife when she argues with him (%): Q5 (highest)
- Women who believe a husband is justified in beating his wife when she argues with him (%)
- Women who believe a husband is justified in beating his wife when she burns the food (%): Q1 (lowest)
- Women who believe a husband is justified in beating his wife when she burns the food (%): Q2
- Women who believe a husband is justified in beating his wife when she burns the food (%): Q3
- Women who believe a husband is justified in beating his wife when she burns the food (%): Q4
- Women who believe a husband is justified in beating his wife when she burns the food (%): Q5 (highest)
- Women who believe a husband is justified in beating his wife when she burns the food (%)
- Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q1 (lowest)
- Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q2
- Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q3
- Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q4
- Women who believe a husband is justified in beating his wife when she goes out without telling him (%): Q5 (highest)
- Women who believe a husband is justified in beating his wife when she goes out without telling him (%)
- Women who never sought help to stop violence, and never told anyone (% of ever-married women ages 15-49 who have ever experienced any physical or sexual violence)
- Women who never sought help to stop violence, but told someone (% of ever-married women ages 15-49 who have ever experienced any physical or sexual violence)
- Proportion of women who have sought help to stop physical or sexual violence (% of ever-married women ages 15-49)
- Women who have experienced injuries resulting from spousal violence (% of ever-married women ages 15-49 who have ever experienced any physical or sexual violence)
- Women whose husband or partner has never demonstrated controlling behaviors (% of ever-married women ages 15-49)
- Women whose husband or partner has ever demonstrated controlling behaviors (% of ever-married women ages 15-49)
- Women who have ever experienced emotional violence committed by their husband/partner (% of ever-married women ages 15-49)
- Women who have experienced emotional violence committed by their husband/partner in the 12 months (% of ever-married women ages 15-49)
- Women who have ever experienced physical violence committed by their husband/partner (% of ever-married women ages 15-49)
- Women who have experienced physical violence committed by their husband/partner in the 12 months (% of ever-married women ages 15-49)
- Women who have ever experienced sexual violence committed by their husband/partner (% of ever-married women ages 15-49)
- Women who have experienced sexual violence committed by their husband/partner in the 12 months (% of ever-married women ages 15-49)
- 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 within ten years of 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 within two years of 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 within five years of marriage (% of currently married women age 15-49 who have been married only once)
- Women who have not experienced spousal physical or sexual violence (% of currently married women age 15-49 who have been married only once)
- Proportion of women who have ever experienced intimate partner violence (% of ever-partnered women ages 15-49)
- Women who believe a husband is justified in beating his wife when she neglects the children (%): Q1 (lowest)
- Women who believe a husband is justified in beating his wife when she neglects the children (%): Q2
- Women who believe a husband is justified in beating his wife when she neglects the children (%): Q3
- Women who believe a husband is justified in beating his wife when she neglects the children (%): Q4
- Women who believe a husband is justified in beating his wife when she neglects the children (%): Q5 (highest)
- Women who believe a husband is justified in beating his wife when she neglects the children (%)
- Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q1 (lowest)
- Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q2
- Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q3
- Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q4
- Women who believe a husband is justified in beating his wife (any of five reasons) (%): Q5 (highest)
- Women who believe a husband is justified in beating his wife (any of five reasons) (%)
- Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q1 (lowest)
- Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q2
- Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q3
- Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q4
- Women who believe a husband is justified in beating his wife when she refuses sex with him (%): Q5 (highest)
- Women who believe a husband is justified in beating his wife when she refuses sex with him (%)
- Women who experienced first sexual violence before age 15 (% of women ages 15-49)
- Women who experienced first sexual violence before age 18 (% of women ages 15-49)
- Women who experienced first sexual violence before age 22 (% of women ages 15-49)
- Total alcohol consumption per capita, female (liters of pure alcohol, projected estimates, female 15+ years of age)
- Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)
- Total alcohol consumption per capita, male (liters of pure alcohol, projected estimates, male 15+ years of age)
- Prevalence of anemia among women of reproductive age (% of women ages 15-49)
- Prevalence of anemia among non-pregnant women (% of women ages 15-49)
- Condom use at last high-risk sex, adult female (% ages 15-49)
- Condom use at last high-risk sex, adult male (% ages 15-49)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, female (% of female population ages 0-4)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, male (% of male population ages 0-4)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4 (% of population ages 0-4)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, female (% of female population ages 5-14)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, male (% of male population ages 5-14)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14 (% of population ages 5-14)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, female (% of female population ages 15-59)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, male (% of male population ages 15-59)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59 (% of population ages 15-59)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, female (% of female population ages 60+)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, male (% of male population ages 60+)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+ (% of population ages 60+)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, female (% of female population)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, male (% of male population)
- Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)
- Number of infant deaths
- Number of infant deaths, female
- Number of infant deaths, male
- Cause of death, by injury, ages 0-4, female (% of female population ages 0-4)
- Cause of death, by injury, ages 0-4, male (% of male population ages 0-4)
- Cause of death, by injury, ages 0-4 (% of population ages 0-4)
- Cause of death, by injury, ages 5-14, female (% of female population ages 5-14)
- Cause of death, by injury, ages 5-14, male (% of male population ages 5-14)
- Cause of death, by injury, ages 5-14 (% of population ages 5-14)
- Cause of death, by injury, ages 15-59, female (% of female population ages 15-59)
- Cause of death, by injury, ages 15-59, male (% of male population ages 15-59)
- Cause of death, by injury, ages 15-59 (% of population ages 15-59)
- Cause of death, by injury, ages 60+, female (% of female population ages 60+)
- Cause of death, by injury, ages 60+, male (% of male population ages 60+)
- Cause of death, by injury, ages 60+ (% of population ages 60+)
- Cause of death, by injury, female (% of female population)
- Cause of death, by injury, male (% of male population)
- Cause of death, by injury (% of total)
- Number of under-five deaths, female
- Number of under-five deaths, male
- Cause of death, by non-communicable diseases, ages 0-4, female (% of female population ages 0-4)
- Cause of death, by non-communicable diseases, ages 0-4, male (% of male population ages 0-4)
- Cause of death, by non-communicable diseases, ages 0-4 (% of population ages 0-4)
- Cause of death, by non-communicable diseases, ages 5-14, female (% of female population ages 5-14)
- Cause of death, by non-communicable diseases, ages 5-14, male (% of male population ages 5-14)
- Cause of death, by non-communicable diseases, ages 5-14 (% of population ages 5-14)
- Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59)
- Cause of death, by non-communicable diseases, ages 15-59, male (% of male population ages 15-59)
- Cause of death, by non-communicable diseases, ages 15-59 (% of population ages 15-59)
- Cause of death, by non-communicable diseases, ages 60+, female (% of female population ages 60+)
- Cause of death, by non-communicable diseases, ages 60+, male (% of male population ages 60+)
- Cause of death, by non-communicable diseases, ages 60+ (% of population ages 60+)
- Cause of death, by non-communicable diseases, female (% of female population)
- Cause of death, by non-communicable diseases, male (% of male population)
- Cause of death, by non-communicable diseases (% of total)
- Number of stillbirths
- Women's share of population ages 15+ living with HIV (%)
- Mortality rate, under-5 (per 1,000 live births)
- Mortality rate, under-5, female (per 1,000 live births)
- Mortality rate, under-5, male (per 1,000 live births)
- Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, female (%)
- Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, male (%)
- Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%)
- Stillbirth rate (per 1,000 total births)
- Knowledge of any modern method of contraception (% of all women ages 15-49)
- Knowledge of any modern method of contraception (% of all men)
- Knowledge of any modern method of contraception (% of married women ages 15-49)
- Knowledge of any modern method of contraception (% of married men)
- Knowledge of any method of contraception (% of all women ages 15-49)
- Knowledge of any method of contraception (% of all men)
- Knowledge of any method of contraception (% of married women ages 15-49)
- Knowledge of any method of contraception (% of married men)
- Fertility planning status: mistimed pregnancy (% of births)
- Demand for family planning satisfied by any methods (% of married women with demand for family planning)
- Demand for family planning satisfied by modern methods (% of married women with demand for family planning)
- Fertility planning status: unwanted pregnancy (% of births)
- Fertility planning status: planned pregnancy (% of births)
- Prevalence of HIV, female (% ages 15-24)
- Comprehensive correct knowledge of HIV/AIDS, ages 15-24, female (2 prevent ways and reject 3 misconceptions)
- Comprehensive correct knowledge of HIV/AIDS, ages 15-24, male (2 prevent ways and reject 3 misconceptions)
- Prevalence of HIV, male (% ages 15-24)
- Antiretroviral therapy coverage (% of adult females living with HIV)
- Antiretroviral therapy coverage (% of adult males living with HIV)
- Incidence of HIV, ages 15-49, female (per 1,000 uninfected female population ages 15-49)
- Incidence of HIV, ages 15-49, male (per 1,000 uninfected male population ages 15-49)
- Incidence of HIV, ages 15-24, female (per 1,000 uninfected female population ages 15-24)
- Incidence of HIV, ages 15-24, male (per 1,000 uninfected male population ages 15-24)
- Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24)
- Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)
- Comprehensive correct knowledge of HIV/AIDS, ages 15-49, female (2 prevent ways and reject 3 misconceptions)
- Comprehensive correct knowledge of HIV/AIDS, ages 15-49, male (2 prevent ways and reject 3 misconceptions)
- Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV)
- Immunization, DPT (% of children ages 12-23 months)
- Immunization, measles (% of children ages 12-23 months)
- Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)
- Number of maternal deaths
- Length of paid maternity leave (calendar days)
- Paid leave of at least 14 weeks available to mothers (1=yes; 0=no)
- The government administers 100 percent of maternity leave benefits (1=yes; 0=no)
- Lifetime risk of maternal death (1 in: rate varies by country)
- Lifetime risk of maternal death (%)
- Length of paid shared parental leave (calendar days)
- There is paid parental leave (1=yes; 0=no)
- Length of paid parental leave for mother (calendar days)
- Length of paid parental leave for father (calendar days)
- Prevalence of anemia among pregnant women (%)
- Prevalence of syphilis (% of women attending antenatal care)
- Prevalence of current tobacco use (% of adults)
- Prevalence of current tobacco use, females (% of female adults)
- Prevalence of current tobacco use, males (% of male adults)
- Length of paid paternity leave (calendar days)
- Paid leave is available to fathers (1=yes; 0=no)
- Mortality rate attributed to household and ambient air pollution, age-standardized, female (per 100,000 female population)
- Mortality rate attributed to household and ambient air pollution, age-standardized, male (per 100,000 male population)
- Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population)
- Pregnant women receiving prenatal care of at least four visits (% of pregnant women)
- Pregnant women receiving prenatal care (%)
- Births attended by skilled health staff (% of total)
- Women who believe that female genital mutilation should not be continued (% of women ages 15-49 who have heard about FGM)
- Men who believe that female genital mutilation should not be continued (% of men who have heard about FGM)
- Women who believe religion requires female genital mutilation (% of women ages 15-49 who have heard about FGM)
- Men who believe religion requires female genital mutilation (% of men who have heard about FGM)
- Female genital mutilation prevalence (%): Q1 (lowest)
- Female genital mutilation prevalence (%): Q2
- Female genital mutilation prevalence (%): Q3
- Female genital mutilation prevalence (%): Q4
- Female genital mutilation prevalence (%): Q5 (highest)
- Female genital mutilation prevalence (%)
- Prevalence of underweight, weight for age, female (% of children under 5)
- Prevalence of underweight, weight for age, male (% of children under 5)
- Prevalence of underweight, weight for age (% of children under 5)
- Maternal mortality ratio (modeled estimate, per 100,000 live births)
- Maternal mortality ratio (national estimate, per 100,000 live births)
- Prevalence of obesity, female (% of female population ages 18+)
- Prevalence of obesity, male (% of male population ages 18+)
- People practicing open defecation, rural (% of rural population)
- People practicing open defecation, urban (% of urban population)
- People practicing open defecation (% of population)
- Prevalence of overweight, female (% of female adults)
- Prevalence of overweight, male (% of male adults)
- Prevalence of overweight (% of adults)
- Prevalence of overweight, weight for height, female (% of children under 5)
- Prevalence of overweight, weight for height, male (% of children under 5)
- Prevalence of overweight, weight for height (% of children under 5)
- Mortality rate attributed to unintentional poisoning (per 100,000 population)
- Mortality rate attributed to unintentional poisoning, female (per 100,000 female population)
- Mortality rate attributed to unintentional poisoning, male (per 100,000 male population)
- Prevalence of stunting, height for age, female (% of children under 5)
- Prevalence of stunting, height for age, male (% of children under 5)
- Prevalence of stunting, height for age (% of children under 5)
- Suicide mortality rate, female (per 100,000 female population)
- Suicide mortality rate, male (per 100,000 male population)
- Suicide mortality rate (per 100,000 population)
- Mortality caused by road traffic injury, female (per 100,000 female population)
- Mortality caused by road traffic injury, male (per 100,000 male population)
- Mortality caused by road traffic injury (per 100,000 population)
- Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene, female (per 100,000 female population)
- Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene, male (per 100,000 male population)
- Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population)
- Prevalence of wasting, weight for height, female (% of children under 5)
- Prevalence of wasting, weight for height, male (% of children under 5)
- Prevalence of wasting, weight for height (% of children under 5)
- Prevalence of severe wasting, weight for height, female (% of children under 5)
- Prevalence of severe wasting, weight for height, male (% of children under 5)
- Prevalence of severe wasting, weight for height (% of children under 5)
- Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population)
- Gini index
- Poverty headcount ratio at national poverty lines (% of population)
- Employment in agriculture, female (% of female employment) (modeled ILO estimate)
- Employment in agriculture, male (% of male employment) (modeled ILO estimate)
- Employment in agriculture (% of total employment) (modeled ILO estimate)
- Employment to population ratio, ages 15-24, female (%) (national estimate)
- Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)
- Employment to population ratio, ages 15-24, male (%) (national estimate)
- Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate)
- Employment to population ratio, ages 15-24, total (%) (national estimate)
- Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate)
- Employers, female (% of female employment) (modeled ILO estimate)
- Employers, male (% of male employment) (modeled ILO estimate)
- Employers, total (% of total employment) (modeled ILO estimate)
- Self-employed, female (% of female employment) (modeled ILO estimate)
- Self-employed, male (% of male employment) (modeled ILO estimate)
- Self-employed, total (% of total employment) (modeled ILO estimate)
- Female share of employment in senior and middle management (%)
- Employment to population ratio, 15+, female (%) (national estimate)
- Employment to population ratio, 15+, female (%) (modeled ILO estimate)
- Employment to population ratio, 15+, male (%) (national estimate)
- Employment to population ratio, 15+, male (%) (modeled ILO estimate)
- Employment to population ratio, 15+, total (%) (national estimate)
- Employment to population ratio, 15+, total (%) (modeled ILO estimate)
- Time-related underemployment, female (% of employment)
- Time-related underemployment, male (% of employment)
- Vulnerable employment, female (% of female employment) (modeled ILO estimate)
- Vulnerable employment, male (% of male employment) (modeled ILO estimate)
- Vulnerable employment, total (% of total employment) (modeled ILO estimate)
- Wage and salaried workers, female (% of female employment) (modeled ILO estimate)
- Wage and salaried workers, male (% of male employment) (modeled ILO estimate)
- Wage and salaried workers, total (% of total employment) (modeled ILO estimate)
- Employment in industry, female (% of female employment) (modeled ILO estimate)
- Employment in industry, male (% of male employment) (modeled ILO estimate)
- Employment in industry (% of total employment) (modeled ILO estimate)
- Informal employment, female (% of total non-agricultural employment)
- Informal employment, male (% of total non-agricultural employment)
- Employment in services, female (% of female employment) (modeled ILO estimate)
- Employment in services, male (% of male employment) (modeled ILO estimate)
- Employment in services (% of total employment) (modeled ILO estimate)
- Children in employment, female (% of female children ages 7-14)
- Children in employment, male (% of male children ages 7-14)
- Children in employment, total (% of children ages 7-14)
- Labor force participation rate for ages 15-24, female (%) (national estimate)
- Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate)
- Labor force participation rate for ages 15-24, male (%) (national estimate)
- Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate)
- Labor force participation rate for ages 15-24, total (%) (national estimate)
- Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate)
- Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate)
- Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate)
- Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)
- Labor force with advanced education, female (% of female working-age population with advanced education)
- Labor force with advanced education, male (% of male working-age population with advanced education)
- Labor force with advanced education (% of total working-age population with advanced education)
- Labor force with basic education, female (% of female working-age population with basic education)
- Labor force with basic education, male (% of male working-age population with basic education)
- Labor force with basic education (% of total working-age population with basic education)
- Labor force participation rate, female (% of female population ages 15+) (national estimate)
- Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)
- Ratio of female to male labor force participation rate (%) (national estimate)
- Ratio of female to male labor force participation rate (%) (modeled ILO estimate)
- Labor force participation rate, male (% of male population ages 15+) (national estimate)
- Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)
- Labor force participation rate, total (% of total population ages 15+) (national estimate)
- Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)
- Labor force with intermediate education, female (% of female working-age population with intermediate education)
- Labor force with intermediate education, male (% of male working-age population with intermediate education)
- Labor force with intermediate education (% of total working-age population with intermediate education)
- Part time employment, female (% of total female employment)
- Part time employment, male (% of total male employment)
- Part time employment, total (% of total employment)
- Labor force, female
- Labor force, female (% of total labor force)
- Labor force, total
- Labor force, male
- Unemployment, youth female (% of female labor force ages 15-24) (national estimate)
- Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)
- Ratio of female to male youth unemployment rate (% ages 15-24) (national estimate)
- Ratio of female to male youth unemployment rate (% ages 15-24) (modeled ILO estimate)
- Unemployment, youth male (% of male labor force ages 15-24) (national estimate)
- Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)
- Unemployment, youth total (% of total labor force ages 15-24) (national estimate)
- Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)
- Unemployment with advanced education, female (% of female labor force with advanced education)
- Unemployment with advanced education, male (% of male labor force with advanced education)
- Unemployment with advanced education (% of total labor force with advanced education)
- Unemployment with basic education, female (% of female labor force with basic education)
- Unemployment with basic education, male (% of male labor force with basic education)
- Unemployment with basic education (% of total labor force with basic education)
- Unemployment with intermediate education, female (% of female labor force with intermediate education)
- Unemployment with intermediate education, male (% of male labor force with intermediate education)
- Unemployment with intermediate education (% of total labor force with intermediate education)
- Share of youth not in education, employment or training, female (% of female youth population)
- Share of youth not in education, employment or training, male (% of male youth population)
- Share of youth not in education, employment or training, total (% of youth population)
- Unemployment, female (% of female labor force) (national estimate)
- Unemployment, female (% of female labor force) (modeled ILO estimate)
- Unemployment, male (% of male labor force) (national estimate)
- Unemployment, male (% of male labor force) (modeled ILO estimate)
- Unemployment, total (% of total labor force) (national estimate)
- Unemployment, total (% of total labor force) (modeled ILO estimate)
- Adolescent fertility rate (births per 1,000 women ages 15-19)
- Mortality rate, adult, female (per 1,000 female adults)
- Mortality rate, adult, male (per 1,000 male adults)
- Birth rate, crude (per 1,000 people)
- Death rate, crude (per 1,000 people)
- Contraceptive prevalence, any modern method (% of married women ages 15-49)
- Contraceptive prevalence, any method (% of married women ages 15-49)
- Mortality rate, infant, female (per 1,000 live births)
- Mortality rate, infant (per 1,000 live births)
- Mortality rate, infant, male (per 1,000 live births)
- Life expectancy at birth, female (years)
- Life expectancy at birth, total (years)
- Life expectancy at birth, male (years)
- Life expectancy at age 60, female
- Life expectancy at age 60, male
- Mean age at first marriage, female
- Mean age at first marriage, male
- Fertility rate, total (births per woman)
- Survival to age 65, female (% of cohort)
- Survival to age 65, male (% of cohort)
- Wanted fertility rate (births per woman)
- Female headed households (% of households with a female head)
- Women who were first married by age 15 (% of women ages 20-24)
- Women who were first married by age 18 (% of women ages 20-24)
- Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)
- Population ages 00-04, female
- Population ages 00-04, male
- Population ages 0-14, female
- Population ages 0-14, male
- Population ages 0-14, total
- Population ages 0-14 (% of total population)
- Population ages 05-09, female
- Population ages 05-09, male
- Population ages 10-14, female
- Population ages 10-14, male
- Population ages 15-19, female
- Population ages 15-19, male
- Population ages 15-64, female
- Population ages 15-64, male
- Population ages 15-64, total
- Population ages 15-64 (% of total population)
- Population ages 20-24, female
- Population ages 20-24, male
- Population ages 25-29, female
- Population ages 25-29, male
- Population ages 30-34, female
- Population ages 30-34, male
- Population ages 35-39, female
- Population ages 35-39, male
- Population ages 40-44, female
- Population ages 40-44, male
- Population ages 45-49, female
- Population ages 45-49, male
- Population ages 50-54, female
- Population ages 50-54, male
- Population ages 55-59, female
- Population ages 55-59, male
- Population ages 60-64, female
- Population ages 60-64, male
- Population ages 65-69, female
- Population ages 65-69, male
- Population ages 65 and above, female
- Population ages 65 and above, male
- Population ages 65 and above, total
- Population ages 65 and above (% of total population)
- Population ages 70-74, female
- Population ages 70-74, male
- Population ages 75-79, female
- Population ages 75-79, male
- Population ages 80 and above, female
- Population ages 80 and above, male
- Age population, age 00, female
- Age population, age 00, male
- Age population, age 01, female
- Age population, age 01, male
- Age population, age 02, female
- Age population, age 02, male
- Age population, age 03, female
- Age population, age 03, male
- Age population, age 04, female
- Age population, age 04, male
- Age population, age 05, female
- Age population, age 05, male
- Sex ratio at birth (male births per female births)
- Age dependency ratio (% of working-age population)
- Population, total
- Population, female
- Population, female (% of total population)
- Population, male
- Completeness of birth registration, female (%)
- Completeness of birth registration, male (%)
- Completeness of birth registration (%)
- Rural population, female (% of total)
- Rural population, male (% of total)
- Rural population (% of total population)
- Urban population, female (% of total)
- Urban population (% of total population)
- Urban population, male (% of total)
- Unmet need for contraception (% of married women ages 15-49)
- Percentage of students in lower secondary vocational education who are female (%)
- Percentage of students in upper secondary vocational education who are female (%)
- Percentage of students in post-secondary non-tertiary vocational education who are female (%)
- Female share of graduates in Business, Administration and Law programmes, tertiary (%)
- Female share of graduates in Information and Communication Technologies programmes, tertiary (%)
- Female share of graduates in other fields than Science, Technology, Engineering and Mathematics programmes, tertiary (%)
- Share of all students in lower secondary education enrolled in vocational programmes (%)
- Percentage of female students in lower secondary education enrolled in vocational programmes, female (%)
- Percentage of male students in lower secondary education enrolled in vocational programmes, male (%)
- Share of all students in upper secondary education enrolled in vocational programmes (%)
- Percentage of female students in upper secondary education enrolled in vocational programmes, female (%)
- Percentage of male students in upper secondary education enrolled in vocational programmes, male (%)
- Share of all students in post-secondary non-tertiary education enrolled in vocational programmes (%)
- Percentage of female students in post-secondary non-tertiary education enrolled in vocational programmes, female (%)
- Percentage of male students in post-secondary non-tertiary education enrolled in vocational programmes, male (%)
- Youth illiterate population, 15-24 years, both sexes (number)
- Youth illiterate population, 15-24 years, female (number)
- Youth illiterate population, 15-24 years, male (number)
- Youth illiterate population, 15-24 years, % female
- Rate of out-of-school youth of upper secondary school age, female (%)
- Rate of out-of-school youth of upper secondary school age, male (%)
- Intentional homicides, female (per 100,000 female)
- Intentional homicides, male (per 100,000 male)
- Intentional homicides (per 100,000 people)
Mean age at first marriage, female
16
18
20
22
24
26
28
30
32
34
36
38
40
Adolescent fertility rate (births per 1,000 women ages 15-19)
0
20
40
60
80
100
120
140
160
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YearOn selection, change the data
| Mean age at first marriage, female | Adolescent fertility rate (births per 1,000 women ages 15-19) | |||
|---|---|---|---|---|
| Economy | Year | Value | Year | Value |
| Afghanistan | 2015 | 21.5 | 2022 | 65.3 |
| Albania | 2018 | 24.2 | 2022 | 12.8 |
| Algeria | 2019 | N/A | 2022 | 9 |
| American Samoa | 2019 | N/A | 2022 | 34.1 |
| Andorra | 2019 | N/A | 2022 | 3.5 |
| Angola | 2016 | 21.5 | 2022 | 142 |
| Antigua and Barbuda | 2019 | N/A | 2022 | 33.5 |
| Argentina | 2019 | N/A | 2022 | 25.8 |
| Armenia | 2015 | 24.2 | 2022 | 13.5 |
| Aruba | 2019 | N/A | 2022 | 18.8 |
| Australia | 2016 | 29.9 | 2022 | 6.7 |
| Austria | 2019 | N/A | 2022 | 4.2 |
| Azerbaijan | 2018 | 24.2 | 2022 | 35.3 |
| Bahamas, The | 2019 | N/A | 2022 | 24.7 |
| Bahrain | 2019 | N/A | 2022 | 8.1 |
| Bangladesh | 2019 | N/A | 2022 | 73.1 |
| Barbados | 2019 | N/A | 2022 | 45.8 |
| Belarus | 2019 | N/A | 2022 | 9.9 |
| Belgium | 2019 | N/A | 2022 | 4.4 |
| Belize | 2016 | 20.5 | 2022 | 53.4 |
| Benin | 2018 | 20.7 | 2022 | 78.9 |
| Bermuda | 2016 | 31.9 | 2022 | 1.6 |
| Bhutan | 2017 | 23.8 | 2022 | 9.4 |
| Bolivia | 2016 | 24 | 2022 | 65.8 |
| Bosnia and Herzegovina | 2019 | N/A | 2022 | 11.1 |
| Botswana | 2017 | 22.9 | 2022 | 54.6 |
| Brazil | 2019 | N/A | 2022 | 42.9 |
| British Virgin Islands | 2019 | N/A | 2022 | 14.5 |
| Brunei Darussalam | 2019 | N/A | 2022 | 8.6 |
| Bulgaria | 2018 | 32.6 | 2022 | 39.4 |
| Burkina Faso | 2017 | 20 | 2022 | 88.6 |
| Burundi | 2016 | 22.8 | 2022 | 54.1 |
| Cabo Verde | 2019 | N/A | 2022 | 38.7 |
| Cambodia | 2019 | N/A | 2022 | 47.1 |
| Cameroon | 2019 | N/A | 2022 | 108.3 |
| Canada | 2016 | 27.2 | 2022 | 4.9 |
| Cayman Islands | 2019 | N/A | 2022 | 11.5 |
| Central African Republic | 2019 | N/A | 2022 | 163 |
| Chad | 2015 | 18.8 | 2022 | 136.7 |
| Channel Islands | 2019 | N/A | 2022 | 8.7 |
| Chile | 2019 | N/A | 2022 | 7.7 |
| China | 2016 | 25.4 | 2022 | 5.5 |
| Colombia | 2015 | 22.7 | 2022 | 60.2 |
| Comoros | 2019 | N/A | 2022 | 56.3 |
| Congo, Dem. Rep. | 2019 | N/A | 2022 | 108.1 |
| Congo, Rep. | 2015 | 21.9 | 2022 | 111.2 |
| Costa Rica | 2018 | 26.4 | 2022 | 26.5 |
| Cote d'Ivoire | 2016 | 23 | 2022 | 93.2 |
| Croatia | 2019 | N/A | 2022 | 6.9 |
| Cuba | 2019 | N/A | 2022 | 47.8 |
| Curacao | 2019 | N/A | 2022 | 13 |
| Cyprus | 2019 | N/A | 2022 | 7 |
| Czechia | 2018 | 32.4 | 2022 | 6.9 |
| Denmark | 2018 | 31.9 | 2022 | 1.2 |
| Djibouti | 2019 | N/A | 2022 | 19.3 |
| Dominica | 2019 | N/A | 2022 | 34.3 |
| Dominican Republic | 2019 | N/A | 2022 | 53.6 |
| Ecuador | 2019 | N/A | 2022 | 57 |
| Egypt, Arab Rep. | 2017 | 22.3 | 2022 | 41.9 |
| El Salvador | 2019 | N/A | 2022 | 54.9 |
| Equatorial Guinea | 2019 | N/A | 2022 | 152.1 |
| Eritrea | 2019 | N/A | 2022 | 65.7 |
| Estonia | 2018 | 33.6 | 2022 | 5.3 |
| Eswatini | 2019 | N/A | 2022 | 69.8 |
| Ethiopia | 2016 | 21.3 | 2022 | 71.1 |
| Faroe Islands | 2018 | 31 | 2022 | 4.8 |
| Fiji | 2019 | N/A | 2022 | 21.3 |
| Finland | 2018 | 30.7 | 2022 | 3.2 |
| France | 2019 | N/A | 2022 | 4 |
| French Polynesia | 2019 | N/A | 2022 | 24.7 |
| Gabon | 2019 | N/A | 2022 | 93.3 |
| Gambia, The | 2019 | N/A | 2022 | 59.2 |
| Georgia | 2019 | N/A | 2022 | 21.5 |
| Germany | 2018 | 31.7 | 2022 | 5.6 |
| Ghana | 2017 | 23.7 | 2022 | 58.8 |
| Gibraltar | 2019 | N/A | 2022 | 8.5 |
| Greece | 2019 | N/A | 2022 | 6.9 |
| Greenland | 2018 | 32.9 | 2022 | 36.4 |
| Grenada | 2019 | N/A | 2022 | 29.4 |
| Guam | 2019 | N/A | 2022 | 33.9 |
| Guatemala | 2018 | 22.7 | 2022 | 69.1 |
| Guinea | 2019 | N/A | 2022 | 120.4 |
| Guinea-Bissau | 2019 | N/A | 2022 | 83.2 |
| Guyana | 2019 | N/A | 2022 | 71.3 |
| Haiti | 2016 | 24.9 | 2022 | 50.6 |
| Honduras | 2019 | N/A | 2022 | 82.8 |
| Hong Kong SAR, China | 2016 | 29.9 | 2022 | 1.1 |
| Hungary | 2018 | 32.9 | 2022 | 18.8 |
| Iceland | 2018 | 32.4 | 2022 | 3.5 |
| India | 2016 | 21.4 | 2022 | 14.2 |
| Indonesia | 2017 | 22.4 | 2022 | 26.6 |
| Iran, Islamic Rep. | 2016 | 23.1 | 2022 | 26.3 |
| Iraq | 2019 | N/A | 2022 | 59 |
| Ireland | 2016 | 32.4 | 2022 | 4.2 |
| Isle of Man | 2019 | N/A | 2022 | 8.8 |
| Israel | 2016 | 26.2 | 2022 | 6.7 |
| Italy | 2018 | 32.2 | 2022 | 3 |
| Jamaica | 2019 | N/A | 2022 | 36.8 |
| Japan | 2015 | 29.2 | 2022 | 1.8 |
| Jordan | 2018 | 24.6 | 2022 | 18.9 |
| Kazakhstan | 2015 | 22.4 | 2022 | 18.4 |
| Kenya | 2019 | N/A | 2022 | 57.3 |
| Kiribati | 2019 | N/A | 2022 | 45 |
| Korea, Dem. People's Rep. | 2019 | N/A | 2022 | 0.5 |
| Korea, Rep. | 2015 | 31.5 | 2022 | 0.7 |
| Kosovo | 2019 | N/A | 2022 | 8 |
| Kuwait | 2019 | N/A | 2022 | 1.7 |
| Kyrgyz Republic | 2019 | N/A | 2022 | 28.9 |
| Lao PDR | 2017 | 20.7 | 2022 | 82.4 |
| Latvia | 2018 | 30.4 | 2022 | 8.6 |
| Lebanon | 2019 | N/A | 2022 | 21.1 |
| Lesotho | 2019 | N/A | 2022 | 71.8 |
| Liberia | 2019 | N/A | 2022 | 127.3 |
| Libya | 2019 | N/A | 2022 | 6.1 |
| Liechtenstein | 2018 | 29.9 | 2022 | 1.6 |
| Lithuania | 2018 | 32.7 | 2022 | 6.2 |
| Luxembourg | 2018 | 30.7 | 2022 | 4 |
| Macao SAR, China | 2019 | N/A | 2022 | 0.5 |
| Madagascar | 2019 | N/A | 2022 | 131.6 |
| Malawi | 2018 | 20.4 | 2022 | 115 |
| Malaysia | 2019 | N/A | 2022 | 6 |
| Maldives | 2017 | 22.5 | 2022 | 5.6 |
| Mali | 2018 | 18.8 | 2022 | 140 |
| Malta | 2019 | N/A | 2022 | 10.5 |
| Marshall Islands | 2019 | N/A | 2022 | 71.1 |
| Mauritania | 2015 | 21.8 | 2022 | 90.2 |
| Mauritius | 2019 | N/A | 2022 | 20.1 |
| Mexico | 2019 | 23.2 | 2022 | 61.1 |
| Micronesia, Fed. Sts. | 2019 | N/A | 2022 | 44 |
| Moldova | 2019 | N/A | 2022 | 22.4 |
| Monaco | 2019 | N/A | 2022 | 9.7 |
| Mongolia | 2019 | N/A | 2022 | 20.5 |
| Montenegro | 2019 | N/A | 2022 | 10 |
| Morocco | 2018 | 24.4 | 2022 | 25.6 |
| Mozambique | 2017 | 18.7 | 2022 | 155.3 |
| Myanmar | 2016 | 22.9 | 2022 | 33.8 |
| Namibia | 2016 | 30.3 | 2022 | 66.9 |
| Nauru | 2019 | N/A | 2022 | 78.4 |
| Nepal | 2016 | 20.1 | 2022 | 68.3 |
| Netherlands | 2018 | 32.4 | 2022 | 2.1 |
| New Caledonia | 2019 | N/A | 2022 | 12.1 |
| New Zealand | 2019 | N/A | 2022 | 10.9 |
| Nicaragua | 2019 | N/A | 2022 | 94.1 |
| Niger | 2015 | 17.2 | 2022 | 146.9 |
| Nigeria | 2019 | N/A | 2022 | 87.3 |
| North Macedonia | 2019 | N/A | 2022 | 14.7 |
| Northern Mariana Islands | 2019 | N/A | 2022 | 26.3 |
| Norway | 2018 | 32.1 | 2022 | 1.4 |
| Oman | 2019 | N/A | 2022 | 5.9 |
| Pakistan | 2017 | 23.2 | 2022 | 42.3 |
| Palau | 2015 | 28.5 | 2022 | 30 |
| Panama | 2019 | N/A | 2022 | 57.8 |
| Papua New Guinea | 2016 | 21.4 | 2022 | 55 |
| Paraguay | 2016 | 21.9 | 2022 | 71 |
| Peru | 2016 | 23.3 | 2022 | 43.9 |
| Philippines | 2017 | 23.4 | 2022 | 32.2 |
| Poland | 2019 | N/A | 2022 | 6 |
| Portugal | 2019 | N/A | 2022 | 6.6 |
| Puerto Rico | 2019 | N/A | 2022 | 14 |
| Qatar | 2019 | N/A | 2022 | 5.6 |
| Romania | 2019 | N/A | 2022 | 33.5 |
| Russian Federation | 2019 | N/A | 2022 | 13.2 |
| Rwanda | 2015 | 24.3 | 2022 | 31.1 |
| Samoa | 2016 | 23.8 | 2022 | 43.9 |
| San Marino | 2018 | 31.3 | 2022 | 1.2 |
| Sao Tome and Principe | 2019 | N/A | 2022 | 86.8 |
| Saudi Arabia | 2017 | 26.6 | 2022 | 10.3 |
| Senegal | 2017 | 22.2 | 2022 | 61 |
| Serbia | 2019 | N/A | 2022 | 13.8 |
| Seychelles | 2019 | N/A | 2022 | 55.4 |
| Sierra Leone | 2017 | 23.1 | 2022 | 95.7 |
| Singapore | 2019 | N/A | 2022 | 2.2 |
| Sint Maarten (Dutch part) | 2019 | N/A | 2022 | 17.1 |
| Slovak Republic | 2018 | 31 | 2022 | 24.5 |
| Slovenia | 2018 | 34 | 2022 | 3.5 |
| Solomon Islands | 2015 | 22.4 | 2022 | 51.2 |
| Somalia | 2019 | N/A | 2022 | 119.3 |
| South Africa | 2016 | 27.2 | 2022 | 51.7 |
| South Sudan | 2019 | N/A | 2022 | 98.6 |
| Spain | 2019 | N/A | 2022 | 4.8 |
| Sri Lanka | 2016 | 23.9 | 2022 | 15.1 |
| St. Kitts and Nevis | 2019 | N/A | 2022 | 35.7 |
| St. Lucia | 2019 | N/A | 2022 | 28.6 |
| St. Martin (French part) | 2019 | N/A | 2022 | 14.7 |
| St. Vincent and the Grenadines | 2019 | N/A | 2022 | 43.6 |
| Sudan | 2019 | N/A | 2022 | 67.3 |
| Suriname | 2019 | N/A | 2022 | 48.8 |
| Sweden | 2018 | 31 | 2022 | 2 |
| Switzerland | 2017 | 30.9 | 2022 | 1.4 |
| Syrian Arab Republic | 2019 | N/A | 2022 | 39.7 |
| Tajikistan | 2017 | 20.7 | 2022 | 42.2 |
| Tanzania | 2016 | 21 | 2022 | 114.3 |
| Thailand | 2019 | N/A | 2022 | 26.3 |
| Timor-Leste | 2016 | 23 | 2022 | 27.9 |
| Togo | 2017 | 21.3 | 2022 | 78.3 |
| Tonga | 2016 | 25.3 | 2022 | 25 |
| Trinidad and Tobago | 2019 | N/A | 2022 | 36.8 |
| Tunisia | 2019 | N/A | 2022 | 4.5 |
| Turkiye | 2019 | N/A | 2022 | 12.2 |
| Turkmenistan | 2015 | 23.5 | 2022 | 22.3 |
| Turks and Caicos Islands | 2019 | N/A | 2022 | 16.6 |
| Tuvalu | 2019 | N/A | 2022 | 28.1 |
| Uganda | 2016 | 20.7 | 2022 | 108.7 |
| Ukraine | 2019 | N/A | 2022 | 10.3 |
| United Arab Emirates | 2019 | N/A | 2022 | 2.9 |
| United Kingdom | 2019 | N/A | 2022 | 8.4 |
| United States | 2019 | N/A | 2022 | 13.6 |
| Uruguay | 2019 | N/A | 2022 | 26.5 |
| Uzbekistan | 2019 | N/A | 2022 | 34.4 |
| Vanuatu | 2019 | N/A | 2022 | 67.2 |
| Venezuela, RB | 2019 | N/A | 2022 | 73 |
| Vietnam | 2015 | 22.8 | 2022 | 34.6 |
| Virgin Islands (U.S.) | 2019 | N/A | 2022 | 31.7 |
| West Bank and Gaza | 2017 | 22.1 | 2022 | 36.8 |
| Yemen, Rep. | 2019 | N/A | 2022 | 74.9 |
| Zambia | 2019 | N/A | 2022 | 117.4 |
| Zimbabwe | 2017 | 21.1 | 2022 | 99.5 |
Related Indicators
- Women who were first married by age 15 or 18 (% of women ages 20-24)
- Contraceptive prevalence (% of women ages 15-49)
- Unmet need for contraception (% of married women ages 15-49)
- Demand for family planning satisfied (% of married women with demand for family planning)
- Adolescent fertility rate (births per 1,000 women ages 15-19)
- Fertility rate, total (births per woman)
- Wanted fertility rate (births per woman)
- Maternal mortality ratio (per 100,000 live births)
