Showing Results from 201 to 250 of 451
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| Dimension | Series |
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| Database Name | Gender Statistics |
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| Code | Source |
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| SG.OWN.LDAJ.MA.Q5.ZS | Demographic and Health Surveys (DHS) |
| Description | Men who own land both alone and jointly (% of men): Q5 (highest) is the percentage of men who both solely and jointly with someone else own a land which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a man owns a land alone and another land jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households. |
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| SG.OWN.LDJT.MA.ZS | Demographic and Health Surveys (DHS) |
| Description | Men who own land jointly (% of men) is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. |
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| Database Name | Gender Statistics |
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| SG.OWN.LDJT.MA.Q1.ZS | Demographic and Health Surveys (DHS) |
| Description | Men who own land jointly (% of men): Q1 (lowest) is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households. |
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| Database Name | Gender Statistics |
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| SG.OWN.LDJT.MA.Q2.ZS | Demographic and Health Surveys (DHS) |
| Description | Men who own land jointly (% of men): Q2 is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households. |
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| Database Name | Gender Statistics |
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| SG.OWN.LDJT.MA.Q3.ZS | Demographic and Health Surveys (DHS) |
| Description | Men who own land jointly (% of men): Q3 is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households. |
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| Database Name | Gender Statistics |
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| SG.OWN.LDJT.MA.Q4.ZS | Demographic and Health Surveys (DHS) |
| Description | Men who own land jointly (% of men): Q4 is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households. |
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| Database Name | Gender Statistics |
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| SG.OWN.LDJT.MA.Q5.ZS | Demographic and Health Surveys (DHS) |
| Description | Men who own land jointly (% of men): Q5 (highest) is the percentage of men who only jointly own a land, which legally registered with their name or cannot be sold without their signature, with someone else. "Only jointly" implies the man doesn’t own a land on his own, but instead jointly owns one with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households. |
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| Database Name | Gender Statistics |
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| SP.DYN.IMRT.FE.IN | Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. |
| Description | Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year. |
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| Database Name | Gender Statistics |
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| SP.DYN.IMRT.MA.IN | Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. |
| Description | Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year. |
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| Database Name | Gender Statistics |
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| SH.DYN.MORT.FE | Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. |
| Description | Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year. |
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| Database Name | Gender Statistics |
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| SH.DYN.MORT.MA | Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. |
| Description | Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year. |
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| Database Name | Gender Statistics |
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| SE.PRM.NINT.FE.ZS | UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. |
| Description | Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age. |
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| Database Name | Gender Statistics |
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| SE.PRM.NINT.MA.ZS | UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. |
| Description | Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age. |
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| Database Name | Gender Statistics |
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| SH.MMR.DTHS | WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in maternal mortality estimates 2000 to 2023. Geneva, World Health Organization, 2025 |
| Description | A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes. |
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| Database Name | Gender Statistics |
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| SH.STA.ODFC.ZS | WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org). |
| Description | People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste. |
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| Database Name | Gender Statistics |
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| SH.STA.ODFC.RU.ZS | WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org). |
| Description | People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste. |
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| Database Name | Gender Statistics |
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| Code | Source |
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| SH.STA.ODFC.UR.ZS | WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org). |
| Description | People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste. |
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| Database Name | Gender Statistics |
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| SE.PRM.PRS5.FE.ZS | UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds. |
| Description | Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method. |
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| Database Name | Gender Statistics |
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| SE.PRM.PRS5.MA.ZS | UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds. |
| Description | Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method. |
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| Database Name | Gender Statistics |
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| Code | Source |
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| SP.POP.0014.TO.ZS | United Nations Population Division. World Population Prospects: 2024 Revision. |
| Description | Population between the ages 0 to 14 as a percentage of the total population. Population is based on the de facto definition of population. |
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| Database Name | Gender Statistics |
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| SP.POP.0014.FE.IN | World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2024 Revision. |
| Description | Female population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. |
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| Database Name | Gender Statistics |
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| SP.POP.1564.TO.ZS | United Nations Population Division. World Population Prospects: 2024 Revision. |
| Description | Total population between the ages 15 to 64 as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. |
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| Database Name | Gender Statistics |
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| SP.POP.1564.FE.IN | World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2024 Revision. |
| Description | Female population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. |
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| Database Name | Gender Statistics |
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| SP.POP.1564.MA.IN | World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2024 Revision. |
| Description | Male population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. |
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| Database Name | Gender Statistics |
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| SP.POP.1564.TO | World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2024 Revision. |
| Description | Total population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. |
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| Database Name | Gender Statistics |
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| SP.POP.65UP.TO.ZS | United Nations Population Division. World Population Prospects: 2024 Revision. |
| Description | Population ages 65 and above as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. |
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| Database Name | Gender Statistics |
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| SP.POP.65UP.FE.IN | World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2024 Revision. |
| Description | Female population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. |
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| Database Name | Gender Statistics |
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| SP.POP.TOTL.FE.IN | World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2024 Revision. |
| Description | Female population is based on the de facto definition of population, which counts all female residents regardless of legal status or citizenship. |
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| Database Name | Gender Statistics |
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| SP.POP.TOTL.FE.ZS | World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2024 Revision. |
| Description | Female population is the percentage of the population that is female. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. |
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| Database Name | Gender Statistics |
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| SP.POP.TOTL | (1) United Nations Population Division. World Population Prospects: 2024 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics; (4) United Nations Statistics Division. Population and Vital Statistics Report (various years). |
| Description | Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates. |
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| Database Name | Gender Statistics |
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| SI.POV.DDAY | World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org. |
| Description | Poverty headcount ratio at $2.15 a day is the percentage of the population living on less than $2.15 a day at 2017 purchasing power adjusted prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions. |
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| Database Name | Gender Statistics |
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| SI.POV.NAHC | World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines. |
| Description | National poverty headcount ratio is the percentage of the population living below the national poverty line(s). National estimates are based on population-weighted subgroup estimates from household surveys. For economies for which the data are from EU-SILC, the reported year is the income reference year, which is the year before the survey year. |
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| Database Name | Gender Statistics |
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| SH.STA.ANVC.ZS | UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys. |
| Description | Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy. |
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| Database Name | Gender Statistics |
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| SH.ANM.ALLW.ZS | World Health Organization, Global Health Observatory Data Repository/World Health Statistics. |
| Description | Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL. |
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| Database Name | Gender Statistics |
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| SH.PRV.SMOK.FE | World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). |
| Description | The percentage of the female population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population. |
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| Database Name | Gender Statistics |
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| SH.PRV.SMOK.MA | World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). |
| Description | The percentage of the male population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population. |
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| Database Name | Gender Statistics |
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| SH.HIV.1524.FE.ZS | UNAIDS estimates. |
| Description | Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group. |
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| Database Name | Gender Statistics |
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| SH.HIV.1524.MA.ZS | UNAIDS estimates. |
| Description | Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group. |
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| Database Name | Gender Statistics |
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| SH.STA.OB18.FE.ZS | World Health Organization (WHO):Global Health Observatory Data Repository |
| Description | Prevalence of obesity adult is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is 30 kg/m² or higher. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters. |
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| Database Name | Gender Statistics |
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| SH.STA.OB18.MA.ZS | World Health Organization (WHO): Global Health Observatory Data Repository |
| Description | Prevalence of obesity adult is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is 30 kg/m² or higher. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters. |
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| Database Name | Gender Statistics |
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| SH.STA.OWAD.FE.ZS | World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). |
| Description | Prevalence of overweight female adults is the percentage of females ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters. |
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| Database Name | Gender Statistics |
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| SH.STA.OWAD.MA.ZS | World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). |
| Description | Prevalence of overweight male adults is the percentage of males ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters. |
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| Database Name | Gender Statistics |
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| SH.STA.OWGH.FE.ZS | UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology. |
| Description | Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards. |
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| Database Name | Gender Statistics |
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| SH.STA.OWGH.MA.ZS | UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology. |
| Description | Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards. |
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| Database Name | Gender Statistics |
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| SH.SVR.WAST.FE.ZS | UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology. |
| Description | Prevalence of severe wasting, female, is the proportion of girls under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months. |
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| Database Name | Gender Statistics |
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| SH.SVR.WAST.MA.ZS | UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology. |
| Description | Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months. |
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| Database Name | Gender Statistics |
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| SH.STA.STNT.FE.ZS | UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology. |
| Description | Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards. |
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| Database Name | Gender Statistics |
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| SH.STA.STNT.MA.ZS | UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology. |
| Description | Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards. |
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| Database Name | Gender Statistics |
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| SH.STA.MALN.FE.ZS | UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology. |
| Description | Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards. |
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| Database Name | Gender Statistics |
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| SH.STA.MALN.MA.ZS | UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology. |
| Description | Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards. |
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