theme,series,name,unit,source,definition,primary,secondary,tertiary
Health,ARTVTHCV,"Antiretroviral therapy coverage, total",%,Compiled by World Bank,Antiretroviral therapy coverage indicates the percentage of adults and children with advanced HIV infection currently receiving antiretroviral therapy among the estimated number of people needing antiretroviral therapy based on WHO 2010 guidelines.,Antiretroviral therapy coverage,,total
Health,HIVSFEIN,Female share of people living with HIV,%,Compiled by World Bank,The percentage of the HIV female population aged 15-49 of the total HIV population in the same age group.,People living with HIV,all women,female
Health,INMORATO,"Infant mortality rate, total","Deaths Per 1,000 Births","Compiled by World Bank, Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.","Number of deaths under one year of age occurring among the live births in a given geographical area during a given year, per 1,000 live births occurring among the population of the given geographical area during the same year.",Infant mortality rate,,total
Health,NEMORATO,"Neonatal mortality rate, total","Deaths Per 1,000 Births","Compiled by World Bank, Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.","Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.",Neonatal mortality rate,,total
Health,MALHFEIN,"Malnutrition prevalence, height for age, stunting, female",%,"Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition",Prevalence of child malnutrition is the percentage of children under age 5 whose height for age (stunting) 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 new child growth standards released in 2006.,Malnutrition prevalence,"stunting, height for age",female
Health,MALHMAIN,"Malnutrition prevalence, height for age, stunting, male",%,"Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition",Prevalence of child malnutrition is the percentage of children under age 5 whose height for age (stunting) 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 new child growth standards released in 2006.,Malnutrition prevalence,"stunting, height for age",male
Health,OWC5FEIN,"Malnutrition prevalence, weight for age, overweight, female",%,"Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition",Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.,Malnutrition prevalence,"overweight, weight for age",female
Health,OWC5MAIN,"Malnutrition prevalence, weight for age, overweight, male",%,"Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition",Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.,Malnutrition prevalence,"overweight, weight for age",male
Health,MALWFEIN,"Malnutrition prevalence, weight for age, underweight, female",%,"Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition",Prevalence of child malnutrition is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006.,Malnutrition prevalence,"underweight, weight for age",female
Health,MALWMAIN,"Malnutrition prevalence, weight for age, underweight, male",%,"Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition",Prevalence of child malnutrition is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006.,Malnutrition prevalence,"underweight, weight for age",male
Health,WASTFEIN,"Malnutrition prevalence, weight for height, wasting, female",%,"Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition",Wasting prevalence is the proportion of children under five whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.,Malnutrition prevalence,"wasting, weight for height",female
Health,WASTMAIN,"Malnutrition prevalence, weight for height, wasting, male",%,"Compiled by World Bank; Data from WHO, Global Database on Child Growth and Malnutrition",Wasting prevalence is the proportion of children under five whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.,Malnutrition prevalence,"wasting, weight for height",male
Health,CONTFEHQ,"Contraceptive prevalence, female, highest income quintile",%,DHS Household Surveys,"Current use of contraception among currently married women, any method by household wealth index",Contraceptive prevalence,highest income quintile,female
Health,CONTFELQ,"Contraceptive prevalence, female, lowest income quintile",%,DHS Household Surveys,"Current use of contraception among currently married women, any method by household wealth index",Contraceptive prevalence,lowest income quintile,female
Health,CONTFENE,"Contraceptive prevalence, female, no education",%,DHS Household Surveys,"Current use of contraception among currently married women, any method by highest education level of respondent",Contraceptive prevalence,no education,female
Health,CONTFEPE,"Contraceptive prevalence, female, primary education",%,DHS Household Surveys,"Current use of contraception among currently married women, any method by highest education level of respondent",Contraceptive prevalence,primary education,female
Health,CONTFESE,"Contraceptive prevalence, female, secondary or higher",%,DHS Household Surveys,"Current use of contraception among currently married women, any method by highest education level of respondent",Contraceptive prevalence,secondary or higher,female
Health,TOFERTHQ,"Fertility rate, female, highest income quintile",Number Of Children,DHS Household Surveys,"Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with current age-specific fertility rates, by household wealth index",Fertility rate,highest income quintile,female
Health,TOFERTLQ,"Fertility rate, female, lowest income quintile",Number Of Children,DHS Household Surveys,"Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with current age-specific fertility rates, by household wealth index",Fertility rate,lowest income quintile,female
Health,KNCOFEHQ,"Knowledge of contraceptive methods, female, highest income quintile",%,DHS Household Surveys,"Knowledge of contraceptive methods, any method, by household wealth index",Knowledge of contraceptive methods,highest income quintile,female
Health,KNCOFELQ,"Knowledge of contraceptive methods, female, lowest income quintile",%,DHS Household Surveys,"Knowledge of contraceptive methods, any method, by household wealth index",Knowledge of contraceptive methods,lowest income quintile,female
Health,HIVPRENE,"Knowledge of HIV prevention methods, female, no education",%,DHS Household Surveys,"The percent of respondents who, in response to a prompted question, say that people can protect themselves from contracting HIV by using condoms or having sex only with one faithful, uninfected partner, by highest educational level of respondent",Knowledge of HIV prevention methods,no education,female
Health,HIVPREPE,"Knowledge of HIV prevention methods, female, primary education",%,DHS Household Surveys,"The percent of respondents who, in response to a prompted question, say that people can protect themselves from contracting HIV by using condoms or having sex only with one faithful, uninfected partner, by highest educational level of respondent",Knowledge of HIV prevention methods,primary education,female
Health,HIVPRESE,"Knowledge of HIV prevention methods, female, secondary or higher",%,DHS Household Surveys,"The percent of respondents who, in response to a prompted question, say that people can protect themselves from contracting HIV by using condoms or having sex only with one faithful, uninfected partner, by highest educational level of respondent",Knowledge of HIV prevention methods,secondary or higher,female
Health,HIVPRERU,"Knowledge of HIV prevention methods, rural",%,DHS Household Surveys,"The percent of respondents who, in response to a prompted question, say that people can protect themselves from contracting HIV by using condoms or having sex only with one faithful, uninfected partner, by urban / rural breakdown",Knowledge of HIV prevention methods,rural,
Health,HIVPREUR,"Knowledge of HIV prevention methods, urban",%,DHS Household Surveys,"The percent of respondents who, in response to a prompted question, say that people can protect themselves from contracting HIV by using condoms or having sex only with one faithful, uninfected partner, by urban / rural breakdown",Knowledge of HIV prevention methods,urban,
Health,UNCOFEHQ,"Unmet need for contraception, female, highest income quintile",%,DHS Household Surveys,"Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception, by household wealth index",Unmet need for contraception,highest income quintile,female
Health,UNCOFELQ,"Unmet need for contraception, female, lowest income quintile",%,DHS Household Surveys,"Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception, by household wealth index",Unmet need for contraception,lowest income quintile,female
Health,HEPAFEFC,"Women's participation in decision-making of own healthcare, employed for cash",%,DHS Household Surveys,"A measue of women's agency: women's autonomy in household decision making, final say in own health care by employment status",Women's participation in decision-making of own healthcare,employed for cash,
Health,HEPAFENC,"Women's participation in decision-making of own healthcare, employed not for cash",%,DHS Household Surveys,A measue of women's agency: women's autonomy in household decision making: final say in own health care by employment status,Women's participation in decision-making of own healthcare,employed not for cash,
Health,HEPAFEHQ,"Women's participation in decision-making of own healthcare, highest income quintile",%,DHS Household Surveys,A measue of women's agency: women's autonomy in household decision making: final say in own health care by household wealth index,Women's participation in decision-making of own healthcare,highest income quintile,
Health,HEPAFELQ,"Women's participation in decision-making of own healthcare, lowest income quintile",%,DHS Household Surveys,A measue of women's agency: women's autonomy in household decision making: final say in own health care by household wealth index,Women's participation in decision-making of own healthcare,lowest income quintile,
Health,HEPAFENE,"Women's participation in decision-making of own healthcare, not employed",%,DHS Household Surveys,A measue of women's agency: women's autonomy in household decision making: final say in own health care by employment status,Women's participation in decision-making of own healthcare,not employed,
Health,CHCDFEIN,"Child deaths from diarrhea, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death",Child deaths from diarrhea,,female
Health,CHCDMAIN,"Child deaths from diarrhea, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death",Child deaths from diarrhea,,male
Health,MTRALZFE,"DALYs per 100,000, Alzheimer's and dementia, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Alzheimer's and dementia,female
Health,MTRALZMA,"DALYs per 100,000, Alzheimer's and dementia, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Alzheimer's and dementia,male
Health,MTRCBVFE,"DALYs per 100,000, Cerebrovascular disease, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Cerebrovascular disease,female
Health,MTRCBVMA,"DALYs per 100,000, Cerebrovascular disease, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Cerebrovascular disease,male
Health,MTRCDSFE,"DALYs per 100,000, Communicable, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Communicable,female
Health,MTRCDSMA,"DALYs per 100,000, Communicable, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Communicable,male
Health,DAPDFEIN,"DALYs per 100,000, COPD, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",COPD,female
Health,DAPDMAIN,"DALYs per 100,000, COPD, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",COPD,male
Health,DADDFEIN,"DALYs per 100,000, Diarrheal diseases, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Diarrheal diseases,female
Health,DADDMAIN,"DALYs per 100,000, Diarrheal diseases, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Diarrheal diseases,male
Health,MTRHIVFE,"DALYs per 100,000, HIV/AIDS, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",HIV/AIDS,female
Health,MTRHIVMA,"DALYs per 100,000, HIV/AIDS, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",HIV/AIDS,male
Health,MTRIJSFE,"DALYs per 100,000, Injuries, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Injuries,female
Health,MTRIJSMA,"DALYs per 100,000, Injuries, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Injuries,male
Health,MTRIHDFE,"DALYs per 100,000, Ischemic heart disease, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Ischemic heart disease,female
Health,MTRIHDMA,"DALYs per 100,000, Ischemic heart disease, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Ischemic heart disease,male
Health,DANPFEIN,"DALYs per 100,000, Low back & neck pain, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Low back & neck pain,female
Health,DANPMAIN,"DALYs per 100,000, Low back & neck pain, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Low back & neck pain,male
Health,MTRLRDFE,"DALYs per 100,000, Lower respiratory, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Lower respiratory,female
Health,MTRLRDMA,"DALYs per 100,000, Lower respiratory, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Lower respiratory,male
Health,DAMD10FE,"DALYs per 100,000, Major depressive disorder, ages 10-14, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000","Major depressive disorder, ages 10-14",female
Health,DAMD10MA,"DALYs per 100,000, Major depressive disorder, ages 10-14, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000","Major depressive disorder, ages 10-14",male
Health,DAMD15FE,"DALYs per 100,000, Major depressive disorder, ages 15-19, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000","Major depressive disorder, ages 15-19",female
Health,DAMD15MA,"DALYs per 100,000, Major depressive disorder, ages 15-19, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000","Major depressive disorder, ages 15-19",male
Health,MTRMLRFE,"DALYs per 100,000, Malaria, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Malaria,female
Health,MTRMLRMA,"DALYs per 100,000, Malaria, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Malaria,male
Health,MTRNCDFE,"DALYs per 100,000, Noncommunicable, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Noncommunicable,female
Health,MTRNCDMA,"DALYs per 100,000, Noncommunicable, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Noncommunicable,male
Health,MTRPBCFE,"DALYs per 100,000, Preterm birth conditions, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Preterm birth conditions,female
Health,MTRPBCMA,"DALYs per 100,000, Preterm birth conditions, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Preterm birth conditions,male
Health,DAMAFEIN,"DALYs per 100,000, Protein-energy malnutrition, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Protein-energy malnutrition,female
Health,DAMAMAIN,"DALYs per 100,000, Protein-energy malnutrition, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Protein-energy malnutrition,male
Health,MTRALLFE,"DALYs per 100,000, total, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Total,female
Health,MTRALLMA,"DALYs per 100,000, total, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Total,male
Health,DAUDFEIN,"DALYs per 100,000, Unipolar depressive disorder, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Unipolar depressive disorder,female
Health,DAUDMAIN,"DALYs per 100,000, Unipolar depressive disorder, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death","DALYs per 100,000",Unipolar depressive disorder,male
Health,DEBCFEIN,"Deaths per 100,000, Breast cancer, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Breast cancer,female
Health,DECBFEIN,"Deaths per 100,000, Cerebrovascular disease, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Cerebrovascular disease,female
Health,DECBMAIN,"Deaths per 100,000, Cerebrovascular disease, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Cerebrovascular disease,male
Health,DECOFEIN,"Deaths per 100,000, communicative, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Communicable,female
Health,DECOMAIN,"Deaths per 100,000, communicative, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Communicable,male
Health,DEPDFEIN,"Deaths per 100,000, COPD, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",COPD,female
Health,DEPDMAIN,"Deaths per 100,000, COPD, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",COPD,male
Health,DEDMFEIN,"Deaths per 100,000, Diabetes mellitus, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Diabetes mellitus,female
Health,DEDMMAIN,"Deaths per 100,000, Diabetes mellitus, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Diabetes mellitus,male
Health,DEDDFEIN,"Deaths per 100,000, Diarrheal diseases, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Diarrheal diseases,female
Health,DEDDMAIN,"Deaths per 100,000, Diarrheal diseases, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Diarrheal diseases,male
Health,DEHI10FE,"Deaths per 100,000, HIV AIDS, ages 10-14, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000","HIV AIDS, ages 10-14",female
Health,DEHI10MA,"Deaths per 100,000, HIV AIDS, ages 10-14, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000","HIV AIDS, ages 10-14",male
Health,DEHAFEIN,"Deaths per 100,000, HIV/AIDS, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",HIV/AIDS,female
Health,DEHAMAIN,"Deaths per 100,000, HIV/AIDS, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",HIV/AIDS,male
Health,DEIJFEIN,"Deaths per 100,000, injuries, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Injuries,female
Health,DEIJMAIN,"Deaths per 100,000, injuries, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Injuries,male
Health,DEHDFEIN,"Deaths per 100,000, Ischemic heart disease, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Ischemic heart disease,female
Health,DEHDMAIN,"Deaths per 100,000, Ischemic heart disease, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Ischemic heart disease,male
Health,DELRFEIN,"Deaths per 100,000, Lower respiratory infections, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Lower respiratory infections,female
Health,DELRMAIN,"Deaths per 100,000, Lower respiratory infections, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Lower respiratory infections,male
Health,DEMLFEIN,"Deaths per 100,000, Malaria, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Malaria,female
Health,DEMLMAIN,"Deaths per 100,000, Malaria, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Malaria,male
Health,DEMD15FE,"Deaths per 100,000, maternal disorders, ages 15-19, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000","Maternal disorders, ages 15-19",female
Health,DENCFEIN,"Deaths per 100,000, noncommunicative, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Noncommunicable,female
Health,DENCMAIN,"Deaths per 100,000, noncommunicative, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Noncommunicable,male
Health,DEMAFEIN,"Deaths per 100,000, Protein-energy malnutrition, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Protein-energy malnutrition,female
Health,DEMAMAIN,"Deaths per 100,000, Protein-energy malnutrition, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Protein-energy malnutrition,male
Health,DERI15FE,"Deaths per 100,000, Road injuries, ages 15-19, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000","Road injuries, ages 15-19",female
Health,DERI15MA,"Deaths per 100,000, Road injuries, ages 15-19, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000","Road injuries, ages 15-19",male
Health,DESH15FE,"Deaths per 100,000, Self-harm, ages 15-19, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000","Self-harm, ages 15-19",female
Health,DESH15MA,"Deaths per 100,000, Self-harm, ages 15-19, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000","Self-harm, ages 15-19",male
Health,DETOFEIN,"Deaths per 100,000, total, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Total,female
Health,DETOMAIN,"Deaths per 100,000, total, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Total,male
Health,DELCFEIN,"Deaths per 100,000, Trachea, bronchus, and lung cancer, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000","Trachea, bronchus, and lung cancer",female
Health,DELCMAIN,"Deaths per 100,000, Trachea, bronchus, and lung cancer, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000","Trachea, bronchus, and lung cancer",male
Health,DETBFEIN,"Deaths per 100,000, Tuberculosis, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Tuberculosis,female
Health,DETBMAIN,"Deaths per 100,000, Tuberculosis, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean number of deaths per 100,000 attributable to cause of disease or death","Deaths per 100,000",Tuberculosis,male
Health,AVDTFEIN,"Mean age of death, female",Years,Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),Average age of death overall for a population,Mean age of death,,female
Health,AVDTMAIN,"Mean age of death, male",Years,Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),Average age of death overall for a population,Mean age of death,,male
Health,ALCHFEIN,"Risk factor, alcohol use, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death",Risk factor,alcohol use,female
Health,ALCHMAIN,"Risk factor, alcohol use, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death",Risk factor,alcohol use,male
Health,DRUGFEIN,"Risk factor, drug use, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death",Risk factor,drug abuse,female
Health,DRUGMAIN,"Risk factor, drug use, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death",Risk factor,drug abuse,male
Health,PHIAFEDR,"Risk factor, Physical inactivity, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death",Risk factor,physical inactivity,female
Health,PHIAMADR,"Risk factor, Physical inactivity, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death",Risk factor,physical inactivity,male
Health,SMOKFEIN,"Risk factor, tobacco use, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death",Risk factor,tobacco use,female
Health,SMOKMAIN,"Risk factor, tobacco use, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/cause of disease or death",Risk factor,tobacco use,male
Health,NECOFEIN,"Unmet need for contraceptive prevalence, female",%,UN Department of Economic and Social Affairs,"Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.",Unmet need for contraception,all women,female
Health,ARTVTHFE,"Antiretroviral therapy coverage, female",%,UN Inter-Agency and Expert Group on Gender Statistics (IAEG-GS),Antiretroviral therapy coverage indicates the percentage of adults and children with advanced HIV infection currently receiving antiretroviral therapy among the estimated number of people needing antiretroviral therapy based on WHO 2010 guidelines.,Antiretroviral therapy coverage,,female
Health,ARTVTHMA,"Antiretroviral therapy coverage, male",%,UN Inter-Agency and Expert Group on Gender Statistics (IAEG-GS),Antiretroviral therapy coverage indicates the percentage of adults and children with advanced HIV infection currently receiving antiretroviral therapy among the estimated number of people needing antiretroviral therapy based on WHO 2010 guidelines.,Antiretroviral therapy coverage,,male
Health,IGMEFEIN,"Infant mortality rate, female","Deaths Per 1,000 Births",UN Inter-agency Group for Child Mortality Estimation (IGME),"Number of deaths under one year of age occurring among the live births in a given geographical area during a given year, per 1,000 live births occurring among the population of the given geographical area during the same year.",Infant mortality rate,,female
Health,IGMEMAIN,"Infant mortality rate, male","Deaths Per 1,000 Births",UN Inter-agency Group for Child Mortality Estimation (IGME),"Number of deaths under one year of age occurring among the live births in a given geographical area during a given year, per 1,000 live births occurring among the population of the given geographical area during the same year.",Infant mortality rate,,male
Health,U5MRFEIN,"Under 5 mortality rate, female","Deaths Per 1,000 Births",UN Inter-agency Group for Child Mortality Estimation (IGME),"Probability of dying between birth and exactly five years of age expressed per 1,000 live births",Under 5 mortality,rate,female
Health,U5MRMAIN,"Under 5 mortality rate, male","Deaths Per 1,000 Births",UN Inter-agency Group for Child Mortality Estimation (IGME),"Probability of dying between birth and exactly five years of age expressed per 1,000 live births",Under 5 mortality,rate,male
Health,HIVYFEIN,"HIV prevalence among youth (15-24), female",%,UNAIDS Spectrum estimates,The prevalence of HIV among the population 15–24 years of age is the number of individuals aged 15–24 living with HIV expressed as a percentage of the total population aged 15-24.,People living with HIV,Age 15-24,female
Health,HIVYMAIN,"HIV prevalence among youth (15-24), male",%,UNAIDS Spectrum estimates,The prevalence of HIV among the population 15–24 years of age is the number of individuals aged 15–24 living with HIV expressed as a percentage of the total population aged 15-24.,People living with HIV,Age 15-24,male
Health,HIVNFEIN,"People living with HIV (15+), female",Number,UNAIDS Spectrum estimates,Number of women living with HIV (15+),People living with HIV,Age 15+,female
Health,HIVNTOIN,"People living with HIV (15+), total",Number,UNAIDS Spectrum estimates,"Total number of people living with HIV, (15+)",People living with HIV,Age 15+,total
Health,LE60FEIN,"Life expectancy at 60 years, female",Years,United Nations Population Division (UNPD),The average number of remaining years of life expected by a hypothetical cohort of males or females alive at age 60 who would be subject during the remaining of their lives to the age- and sex-specific mortality rates of a given period. It is expressed as years.,Life expectancy,at 60 years,female
Health,LE60MAIN,"Life expectancy at 60 years, male",Years,United Nations Population Division (UNPD),The average number of remaining years of life expected by a hypothetical cohort of males or females alive at age 60 who would be subject during the remaining of their lives to the age- and sex-specific mortality rates of a given period. It is expressed as years.,Life expectancy,at 60 years,male
Health,LE60TOIN,"Life expectancy at 60 years, total",Years,United Nations Population Division (UNPD),The average number of remaining years of life expected by a hypothetical cohort of males or females alive at age 60 who would be subject during the remaining of their lives to the age- and sex-specific mortality rates of a given period. It is expressed as years.,Life expectancy,at 60 years,total
Health,ANTENAT4,"Antenatal care coverage 4+, female",%,United Nations Statistics Division,"The percentage of women aged 15-49 with a live birth in a given time period that received antenatal care four or more times as a percentage of women age 15-49 years with a live birth in a given time period. Available survey data on this indicator usually do not specify the type of the provider, therefore, in general, receipt of care by ANY provider is measured.",Antenatal care coverage,Age 4+,female
Health,IBCGFEIN,"BCG immunization, female",%,WHO; aggregates MICS and DHS,The percentage of one-year-olds who have received one dose of Bacille Calmette-Guérin (BCG) vaccine in a given year.,Immunization,BCG,female
Health,IBCGMAIN,"BCG immunization, male",%,WHO; aggregates MICS and DHS,The percentage of one-year-olds who have received one dose of Bacille Calmette-Guérin (BCG) vaccine in a given year.,Immunization,BCG,male
Health,IDTPFEIN,"DTP3 immunization, female",%,WHO; aggregates MICS and DHS,"The percentage of one-year-olds who have received three doses of the combined diphtheria, tetanus toxoid and pertussis (DTP3) vaccine in a given year.",Immunization,DTP3,female
Health,IDTPMAIN,"DTP3 immunization, male",%,WHO; aggregates MICS and DHS,"The percentage of one-year-olds who have received three doses of the combined diphtheria, tetanus toxoid and pertussis (DTP3) vaccine in a given year.",Immunization,DTP3,male
Health,IFULFEIN,"Full immunization, female",%,WHO; aggregates MICS and DHS,"The percentage of one-year-olds who have received one dose of Bacille Calmette-Guérin (BCG) vaccine, three doses of polio vaccine, three doses of the combined diphtheria, tetanus toxoid and pertussis (DTP3) vaccine, and one dose of measles vaccine.",Immunization,Full,female
Health,IFULMAIN,"Full immunization, male",%,WHO; aggregates MICS and DHS,"The percentage of one-year-olds who have received one dose of Bacille Calmette-Guérin (BCG) vaccine, three doses of polio vaccine, three doses of the combined diphtheria, tetanus toxoid and pertussis (DTP3) vaccine, and one dose of measles vaccine.",Immunization,Full,male
Health,IMCVFEIN,"MCV immunization, female",%,WHO; aggregates MICS and DHS,The percentage of children aged 12-23 months who have received at least one dose of measles-containing vaccine in a given year.,Immunization,MCV,female
Health,IMCVMAIN,"MCV immunization, male",%,WHO; aggregates MICS and DHS,The percentage of children aged 12-23 months who have received at least one dose of measles-containing vaccine in a given year.,Immunization,MCV,male
Health,IPOLFEIN,"Pol3 immunization, female",%,WHO; aggregates MICS and DHS,The percentage of one-year-olds who have received three doses of polio vaccine in a given year.,Immunization,Pol3,female
Health,IPOLMAIN,"Pol3 immunization, male",%,WHO; aggregates MICS and DHS,The percentage of one-year-olds who have received three doses of polio vaccine in a given year.,Immunization,Pol3,male
Health,ANTENAT1,"Antenatal care coverage 1+, female",%,World Bank,The percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.,Antenatal care coverage,Age 1+,female
Health,BIRTSTAF,"Births attended by skilled staff, female",%,World Bank,"The percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.",Births attended by skilled staff,,female
Health,CONPFEIN,"Contraceptive prevalence, female",%,World Bank,"Contraceptive prevalence is the percentage of women married or in-union aged 15 to 49 who are currently using, or whose sexual partner is using, at least one method of contraception, regardless of the method used.",Contraceptive prevalence,all women,female
Health,FERTRATE,"Fertility rate, female",Number Of Children,World Bank,Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with current age-specific fertility rates.,Fertility rate,all women,female
Health,LE00FEIN,"Life expectancy at birth, female",Years,World Bank,Indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.,Life expectancy,at birth,female
Health,LE00MAIN,"Life expectancy at birth, male",Years,World Bank,Indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.,Life expectancy,at birth,male
Health,LE00TOIN,"Life expectancy at birth, total",Years,World Bank,Indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.,Life expectancy,at birth,total
Health,NURSMIDW,"Nurses and midwives, per 1,000 people, total","Number Per 1,000",World Bank,"Include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.",Nurses and midwives,,total
Health,U5MORATO,"Under 5 mortality ratio, total","Deaths per 1,000 live births",World Bank,"Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to current age-specific mortality rates.",Under 5 mortality,ratio,total
Health,BEDSDENS,Hospital beds (per 10 000 population),"Number per 10,000",World Health Organization (WHO),The number of inpatient beds available relative to the total population for the same geographical area.,Hospital beds,,
Health,MATMORTA,"Maternal mortality ratio, female","Deaths Per 100,000 Live Births",World Health Organization (WHO),"The annual number of female deaths from any cause related to or aggravated by pregnancy or its management (excluding accidental or incidental causes) during pregnancy and childbirth or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, per 100,000 live births, for a specified year.",Maternal mortality ratio,,female
Health,OPEXPHEA,Out-of-pocket expenditure as a % of private expenditure on health,%,World Health Organization (WHO),"any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups.",Health expenditures,out-of-pocket as % of private,
Health,PHYSDENS,Physicians density (per 1000 population),"Number per 1,000",World Health Organization (WHO),"number of medical doctors (physicians), including generalist and specialist medical practitioners, per 1,000 of the population",Physicians density,,
Health,PREXPHEA,Private expenditure on health as a % of total expenditure on health,%,World Health Organization (WHO),"Sum of expenditures on health by: prepaid plans, firms' expenditure on health, household out-of-pocket spending, and NGOs",Health expenditures,private as % of total,
Education,NERAPRFE,"Adjusted net enrollment ratio in primary school, female",%,Compiled by World Bank; source: UNESCO,Adjusted net enrolment rate in primary education can be calculated as the number of children of official primary school age who are enrolled either in primary or secondary education expressed as a percentage of the total population of children of official primary school age.,Net enrollment ratio,primary school (adjusted),female
Education,NERAPRGP,"Adjusted net enrollment ratio in primary school, GPI",%,Compiled by World Bank; source: UNESCO,Adjusted net enrolment rate in primary education can be calculated as the number of children of official primary school age who are enrolled either in primary or secondary education expressed as a percentage of the total population of children of official primary school age.,Net enrollment ratio GPI,primary school (adjusted),
Education,NERAPRMA,"Adjusted net enrollment ratio in primary school, male",%,Compiled by World Bank; source: UNESCO,Adjusted net enrolment rate in primary education can be calculated as the number of children of official primary school age who are enrolled either in primary or secondary education expressed as a percentage of the total population of children of official primary school age.,Net enrollment ratio,primary school (adjusted),male
Education,GERATEFE,"Gross enrollment ratio for tertiary school, female",%,Compiled by World Bank; source: UNESCO,"The number of children enrolled in tertiary school, regardless of age, divided by the population of the age group that officially corresponds to the same level.",Gross enrollment ratio,tertiary school,female
Education,GERATEGP,"Gross enrollment ratio for tertiary school, GPI",%,Compiled by World Bank; source: UNESCO,"The number of children enrolled in tertiary school, regardless of age, divided by the population of the age group that officially corresponds to the same level.",Gross enrollment ratio GPI,tertiary school,
Education,GERATEMA,"Gross enrollment ratio for tertiary school, male",%,Compiled by World Bank; source: UNESCO,"The number of children enrolled in tertiary school, regardless of age, divided by the population of the age group that officially corresponds to the same level.",Gross enrollment ratio,tertiary school,male
Education,ENRTFEPR,"Gross enrollment ratio in primary school, female",%,Compiled by World Bank; source: UNESCO,"The number of children enrolled in a level (primary or secondary), regardless of age, divided by the population of the age group that officially corresponds to the same level.",Gross enrollment ratio,primary school,female
Education,ENRTMAPR,"Gross enrollment ratio in primary school, male",%,Compiled by World Bank; source: UNESCO,"The number of children enrolled in a level (primary or secondary), regardless of age, divided by the population of the age group that officially corresponds to the same level.",Gross enrollment ratio,primary school,male
Education,ENRTTOPR,"Gross enrollment ratio in primary school, total",%,Compiled by World Bank; source: UNESCO,"The number of children enrolled in a level (primary or secondary), regardless of age, divided by the population of the age group that officially corresponds to the same level.",Gross enrollment ratio,primary school,total
Education,GERSFEIN,"Gross enrollment ratio in secondary school, female",%,Compiled by World Bank; source: UNESCO,"The number of children enrolled in a level (primary or secondary), regardless of age, divided by the population of the age group that officially corresponds to the same level.",Gross enrollment ratio,secondary school,female
Education,GERSMAIN,"Gross enrollment ratio in secondary school, male",%,Compiled by World Bank; source: UNESCO,"The number of children enrolled in a level (primary or secondary), regardless of age, divided by the population of the age group that officially corresponds to the same level.",Gross enrollment ratio,secondary school,male
Education,GERSTOIN,"Gross enrollment ratio in secondary school, total",%,Compiled by World Bank; source: UNESCO,"The number of children enrolled in a level (primary or secondary), regardless of age, divided by the population of the age group that officially corresponds to the same level.",Gross enrollment ratio,secondary school,total
Education,NERASEFE,"Net enrollment ratio in secondary school, female",%,Compiled by World Bank; source: UNESCO,"The number of children enrolled in secondary school who belong to the age group that officially corresponds to secondary schooling, divided by the total population of the same age group.",Net enrollment ratio,secondary school,female
Education,NERASEGP,"Net enrollment ratio in secondary school, GPI",%,Compiled by World Bank; source: UNESCO,"The number of children enrolled in secondary school who belong to the age group that officially corresponds to secondary schooling, divided by the total population of the same age group.",Net enrollment ratio GPI,secondary school,
Education,NERASEMA,"Net enrollment ratio in secondary school, male",%,Compiled by World Bank; source: UNESCO,"The number of children enrolled in secondary school who belong to the age group that officially corresponds to secondary schooling, divided by the total population of the same age group.",Net enrollment ratio,secondary school,male
Education,BLIXSRSF,"BLI Student skills, female",Average PISA scores,OECD Better Life Index,"Students’ average score in reading, mathematics and science as assessed by the OECD’s Programme for International Student Assessment (PISA)",BLI Student skills,,female
Education,BLIXSRSM,"BLI Student skills, male",Average PISA scores,OECD Better Life Index,"Students’ average score in reading, mathematics and science as assessed by the OECD’s Programme for International Student Assessment (PISA)",BLI Student skills,,male
Education,BLIXYIEF,"BLI Years in education, female",Years,OECD Better Life Index,This indicator is the average duration of education in which a 5 year old child can expect to enrol during his/her lifetime until the age of 39. It is calculated under the current enrolment conditions by adding the net enrolment rates for each single year of age from the age of five onwards .,BLI Years in education,,female
Education,BLIXYIEM,"BLI Years in education, male",Years,OECD Better Life Index,This indicator is the average duration of education in which a 5 year old child can expect to enrol during his/her lifetime until the age of 39. It is calculated under the current enrolment conditions by adding the net enrolment rates for each single year of age from the age of five onwards .,BLI Years in education,,male
Education,PICPHIFE,"PIAAC highest scores (Level 3), problem-solving in tech-rich env., female",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved highest proficiency",PIAAC problem-solving in tech-rich environment,highest scores (Level 3),female
Education,PICPHIMA,"PIAAC highest scores (Level 3), problem-solving in tech-rich env., male",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved highest proficiency",PIAAC problem-solving in tech-rich environment,highest scores (Level 3),male
Education,PICLHIFE,"PIAAC highest scores (Level 4 or 5), literacy, female",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved highest proficiency",PIAAC literacy,highest scores (Level 4 or 5),female
Education,PICLHIMA,"PIAAC highest scores (Level 4 or 5), literacy, male",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved highest proficiency",PIAAC literacy,highest scores (Level 4 or 5),male
Education,PICNHIFE,"PIAAC highest scores (Level 4 or 5), numeracy, female",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved highest proficiency",PIAAC numeracy,highest scores (Level 4 or 5),female
Education,PICNHIMA,"PIAAC highest scores (Level 4 or 5), numeracy, male",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved highest proficiency",PIAAC numeracy,highest scores (Level 4 or 5),male
Education,PICLLWFE,"PIAAC lowest scores (below Level 1), literacy, female",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved lowest proficiency",PIAAC literacy,lowest scores (below Level 1),female
Education,PICLLWMA,"PIAAC lowest scores (below Level 1), literacy, male",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved lowest proficiency",PIAAC literacy,lowest scores (below Level 1),male
Education,PICNLWFE,"PIAAC lowest scores (below Level 1), numeracy, female",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved lowest proficiency",PIAAC numeracy,lowest scores (below Level 1),female
Education,PICNLWMA,"PIAAC lowest scores (below Level 1), numeracy, male",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved lowest proficiency",PIAAC numeracy,lowest scores (below Level 1),male
Education,PICPLWFE,"PIAAC lowest scores (No experience or failed), problem-solving in tech-rich env., female",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved lowest proficiency",PIAAC problem-solving in tech-rich environment,lowest scores (No experience or failed),female
Education,PICPLWMA,"PIAAC lowest scores (No experience or failed), problem-solving in tech-rich env., male",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved lowest proficiency",PIAAC problem-solving in tech-rich environment,lowest scores (No experience or failed),male
Education,PCMLFEHT,"PIAAC mean literacy scores, female, highest income decile",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved lowest proficiency, by household wealth percentiles",PIAAC literacy,"mean scores, highest income decile",female
Education,PCMLFEBT,"PIAAC mean literacy scores, female, lowest income decile",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved lowest proficiency, by household wealth percentiles",PIAAC literacy,"mean scores, lowest income decile",female
Education,PCMNFEHT,"PIAAC mean numeracy scores, female, highest income decile",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved lowest proficiency, by household wealth percentiles",PIAAC numeracy,"mean scores, highest income decile",female
Education,PCMNFEBT,"PIAAC mean numeracy scores, female, lowest income decile",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved lowest proficiency, by household wealth percentiles",PIAAC numeracy,"mean scores, lowest income decile",female
Education,PCMPFEHT,"PIAAC mean problem-solving scores, female, highest income decile",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved lowest proficiency, by household wealth percentiles",PIAAC mean problem-solving scores,highest income decile,female
Education,PCMPFEBT,"PIAAC mean problem-solving scores, female, lowest income decile",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, % who achieved lowest proficiency, by household wealth percentiles",PIAAC mean problem-solving scores,lowest income decile,female
Education,PICLMNFE,"PIAAC mean scores, literacy, female",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, score out of 500",PIAAC literacy,mean scores,female
Education,PICLMNMA,"PIAAC mean scores, literacy, male",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, score out of 500",PIAAC literacy,mean scores,male
Education,PICNMNFE,"PIAAC mean scores, numeracy, female",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, score out of 500",PIAAC numeracy,mean scores,female
Education,PICNMNMA,"PIAAC mean scores, numeracy, male",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, score out of 500",PIAAC numeracy,mean scores,male
Education,PICPMNFE,"PIAAC mean scores, problem-solving, female",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, score out of 500",PIAAC problem-solving,mean scores,female
Education,PICPMNMA,"PIAAC mean scores, problem-solving, male",Number,Organisation for Economic Co-operation and Development (OECD),"Survey of adult skills, score out of 500",PIAAC problem-solving,mean scores,male
Education,PIFEDILA,"PISA disadvantaged low-achievers, female",Number,Organisation for Economic Co-operation and Development (OECD),"A student is classified as disadvantaged low-achiever if he or she is in the bottom quarter of the PISA index of economic, social and cultural status (ESCS) in the country/economy of assessment and performs in the bottom quarter of students from all countries/countries, after accounting for socio-economic status.",PISA students by status,disadvantaged low-achievers,female
Education,PIMADILA,"PISA disadvantaged low-achievers, male",Number,Organisation for Economic Co-operation and Development (OECD),"A student is classified as disadvantaged low-achiever if he or she is in the bottom quarter of the PISA index of economic, social and cultural status (ESCS) in the country/economy of assessment and performs in the bottom quarter of students from all countries/countries, after accounting for socio-economic status.",PISA students by status,disadvantaged low-achievers,male
Education,PISAFEMA,"PISA math scores, female",Number,Organisation for Economic Co-operation and Development (OECD),"PISA scores are usually scaled so that the OECD average in each domain (mathematics, reading and science) is 500 and the standard deviation is 100.",PISA math scores,all students,female
Education,PIMAFEHQ,"PISA math scores, female, highest income quintile",Number,Organisation for Economic Co-operation and Development (OECD),"PISA scores are usually scaled so that the OECD average in each domain (mathematics, reading and science) is 500 and the standard deviation is 100, by household wealth index.",PISA math scores,highest income quintile,female
Education,PIMAFELQ,"PISA math scores, female, lowest income quintile",Number,Organisation for Economic Co-operation and Development (OECD),"PISA scores are usually scaled so that the OECD average in each domain (mathematics, reading and science) is 500 and the standard deviation is 100, by household wealth index.",PISA math scores,lowest income quintile,female
Education,PISAMAMA,"PISA math scores, male",Number,Organisation for Economic Co-operation and Development (OECD),"PISA scores are usually scaled so that the OECD average in each domain (mathematics, reading and science) is 500 and the standard deviation is 100.",PISA math scores,all students,male
Education,PISAFERE,"PISA reading scores, female",Number,Organisation for Economic Co-operation and Development (OECD),"PISA scores are usually scaled so that the OECD average in each domain (mathematics, reading and science) is 500 and the standard deviation is 100.",PISA reading scores,all students,female
Education,PIREFEHQ,"PISA reading scores, female, highest income quintile",Number,Organisation for Economic Co-operation and Development (OECD),"PISA scores are usually scaled so that the OECD average in each domain (mathematics, reading and science) is 500 and the standard deviation is 100, by household wealth index.",PISA reading scores,highest income quintile,female
Education,PIREFELQ,"PISA reading scores, female, lowest income quintile",Number,Organisation for Economic Co-operation and Development (OECD),"PISA scores are usually scaled so that the OECD average in each domain (mathematics, reading and science) is 500 and the standard deviation is 100, by household wealth index.",PISA reading scores,lowest income quintile,female
Education,PISAMARE,"PISA reading scores, male",Number,Organisation for Economic Co-operation and Development (OECD),"PISA scores are usually scaled so that the OECD average in each domain (mathematics, reading and science) is 500 and the standard deviation is 100.",PISA reading scores,all students,male
Education,PIFERESI,"PISA resilient students, female",Number,Organisation for Economic Co-operation and Development (OECD),"A student is classified as resilient if he or she is in the bottom quarter of the PISA index of economic, social and cultural status (ESCS) in the country/economy of assessment and performs in the top quarter of students from all countries/economies, after accounting for socio-economic status.",PISA students by status,resilient students,female
Education,PIMARESI,"PISA resilient students, male",Number,Organisation for Economic Co-operation and Development (OECD),"A student is classified as resilient if he or she is in the bottom quarter of the PISA index of economic, social and cultural status (ESCS) in the country/economy of assessment and performs in the top quarter of students from all countries/economies, after accounting for socio-economic status.",PISA students by status,resilient students,male
Education,PISAFESC,"PISA science scores, female",Number,Organisation for Economic Co-operation and Development (OECD),"PISA scores are usually scaled so that the OECD average in each domain (mathematics, reading and science) is 500 and the standard deviation is 100.",PISA science scores,all students,female
Education,PISCFEHQ,"PISA science scores, female, highest income quintile",Number,Organisation for Economic Co-operation and Development (OECD),"PISA scores are usually scaled so that the OECD average in each domain (mathematics, reading and science) is 500 and the standard deviation is 100, by household wealth index.",PISA science scores,highest income quintile,female
Education,PISCFELQ,"PISA science scores, female, lowest income quintile",Number,Organisation for Economic Co-operation and Development (OECD),"PISA scores are usually scaled so that the OECD average in each domain (mathematics, reading and science) is 500 and the standard deviation is 100, by household wealth index.",PISA science scores,lowest income quintile,female
Education,PISAMASC,"PISA science scores, male",Number,Organisation for Economic Co-operation and Development (OECD),"PISA scores are usually scaled so that the OECD average in each domain (mathematics, reading and science) is 500 and the standard deviation is 100.",PISA science scores,all students,male
Education,PISAFEHP,"PISA self-confidence, helpless at math, female",Number,Organisation for Economic Co-operation and Development (OECD),The percentage of students who agree or strongly agree with the statement “I feel helpless when doing a mathematics problem”.,PISA self-confidence,helpless at math,female
Education,PISAMAHP,"PISA self-confidence, helpless at math, male",Number,Organisation for Economic Co-operation and Development (OECD),The percentage of students who agree or strongly agree with the statement “I feel helpless when doing a mathematics problem”.,PISA self-confidence,helpless at math,male
Education,PISAFENG,"PISA self-confidence, not good at math, female",Number,Organisation for Economic Co-operation and Development (OECD),The percentage of students who agree or strongly agree with the statement “I feel helpless when doing a mathematics problem”.,PISA self-confidence,not good at math,female
Education,PISAMANG,"PISA self-confidence, not good at math, male",Number,Organisation for Economic Co-operation and Development (OECD),The percentage of students who agree or strongly agree with the statement “I feel helpless when doing a mathematics problem”.,PISA self-confidence,not good at math,male
Education,LSCRFEIN,"Lower secondary completion rate, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above lower secondary school graduation age and (ii) young people aged 15-24 years, who have completed lower secondary school.",Lower secondary completion rate,all students,female
Education,LSCRFEHQ,"Lower secondary completion rate, highest income quintile, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above lower secondary school graduation age and (ii) young people aged 15-24 years, who have completed lower secondary school.",Lower secondary completion rate,highest income quintile,female
Education,LSCRMAHQ,"Lower secondary completion rate, highest income quintile, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above lower secondary school graduation age and (ii) young people aged 15-24 years, who have completed lower secondary school.",Lower secondary completion rate,highest income quintile,male
Education,LSCRFELQ,"Lower secondary completion rate, lowest income quintile, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above lower secondary school graduation age and (ii) young people aged 15-24 years, who have completed lower secondary school.",Lower secondary completion rate,lowest income quintile,female
Education,LSCRMALQ,"Lower secondary completion rate, lowest income quintile, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above lower secondary school graduation age and (ii) young people aged 15-24 years, who have completed lower secondary school.",Lower secondary completion rate,lowest income quintile,male
Education,LSCRMAIN,"Lower secondary completion rate, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above lower secondary school graduation age and (ii) young people aged 15-24 years, who have completed lower secondary school.",Lower secondary completion rate,all students,male
Education,LSCRFERU,"Lower secondary completion rate, rural, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above lower secondary school graduation age and (ii) young people aged 15-24 years, who have completed lower secondary school.",Lower secondary completion rate,rural,female
Education,LSCRMARU,"Lower secondary completion rate, rural, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above lower secondary school graduation age and (ii) young people aged 15-24 years, who have completed lower secondary school.",Lower secondary completion rate,rural,male
Education,LSCRFEUR,"Lower secondary completion rate, urban, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above lower secondary school graduation age and (ii) young people aged 15-24 years, who have completed lower secondary school.",Lower secondary completion rate,urban,female
Education,LSCRMAUR,"Lower secondary completion rate, urban, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above lower secondary school graduation age and (ii) young people aged 15-24 years, who have completed lower secondary school.",Lower secondary completion rate,urban,male
Education,YRSCFE24,"Mean years of schooling, 20-24 years, female",Years,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Average number of years of schooling attained for the age group 20–24 years.,Mean years of schooling,20-24 years,female
Education,YRSCMA24,"Mean years of schooling, 20-24 years, male",Years,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Average number of years of schooling attained for the age group 20–24 years.,Mean years of schooling,20-24 years,male
Education,YRSCFEHQ,"Mean years of schooling, highest income quintile, female",Years,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Average number of years of schooling attained for the age group 20–24 years.,Mean years of schooling,highest income quintile,female
Education,YRSCMAHQ,"Mean years of schooling, highest income quintile, male",Years,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Average number of years of schooling attained for the age group 20–24 years.,Mean years of schooling,highest income quintile,male
Education,YRSCFELQ,"Mean years of schooling, lowest income quintile, female",Years,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Average number of years of schooling attained for the age group 20–24 years.,Mean years of schooling,lowest income quintile,female
Education,YRSCMALQ,"Mean years of schooling, lowest income quintile, male",Years,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Average number of years of schooling attained for the age group 20–24 years.,Mean years of schooling,lowest income quintile,male
Education,YRSCFERU,"Mean years of schooling, rural, female",Years,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Average number of years of schooling attained for the age group 20–24 years.,Mean years of schooling,rural,female
Education,YRSCMARU,"Mean years of schooling, rural, male",Years,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Average number of years of schooling attained for the age group 20–24 years.,Mean years of schooling,rural,male
Education,YRSCFEUR,"Mean years of schooling, urban, female",Years,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Average number of years of schooling attained for the age group 20–24 years.,Mean years of schooling,urban,female
Education,YRSCMAUR,"Mean years of schooling, urban, male",Years,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Average number of years of schooling attained for the age group 20–24 years.,Mean years of schooling,urban,male
Education,OSCPFEIN,"Out of school children, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Percentage of children of primary school age who are not in school.,Out of school children,all children,female
Education,OSCPFEHQ,"Out of school children, highest income quintile, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Percentage of children of primary school age who are not in school.,Out of school children,highest income quintile,female
Education,OSCPMAHQ,"Out of school children, highest income quintile, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Percentage of children of primary school age who are not in school.,Out of school children,highest income quintile,male
Education,OSCPFELQ,"Out of school children, lowest income quintile, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Percentage of children of primary school age who are not in school.,Out of school children,lowest income quintile,female
Education,OSCPMALQ,"Out of school children, lowest income quintile, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Percentage of children of primary school age who are not in school.,Out of school children,lowest income quintile,male
Education,OSCPMAIN,"Out of school children, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Percentage of children of primary school age who are not in school.,Out of school children,all children,male
Education,OSCPFERU,"Out of school children, rural, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Percentage of children of primary school age who are not in school.,Out of school children,rural,female
Education,OSCPMARU,"Out of school children, rural, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Percentage of children of primary school age who are not in school.,Out of school children,rural,male
Education,OSCPFEUR,"Out of school children, urban, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Percentage of children of primary school age who are not in school.,Out of school children,urban,female
Education,OSCPMAUR,"Out of school children, urban, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report",Percentage of children of primary school age who are not in school.,Out of school children,urban,male
Education,PRCRFEIN,"Primary completion rate, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above primary school graduation age and (ii) young people aged 15-24 years, who have completed primary school.",Primary completion rate,all students,female
Education,PRCRFEHQ,"Primary completion rate, highest income quintile, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above primary school graduation age and (ii) young people aged 15-24 years, who have completed primary school.",Primary completion rate,highest income quintile,female
Education,PRCRMAHQ,"Primary completion rate, highest income quintile, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above primary school graduation age and (ii) young people aged 15-24 years, who have completed primary school.",Primary completion rate,highest income quintile,male
Education,PRCRFELQ,"Primary completion rate, lowest income quintile, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above primary school graduation age and (ii) young people aged 15-24 years, who have completed primary school.",Primary completion rate,lowest income quintile,female
Education,PRCRMALQ,"Primary completion rate, lowest income quintile, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above primary school graduation age and (ii) young people aged 15-24 years, who have completed primary school.",Primary completion rate,lowest income quintile,male
Education,PRCRMAIN,"Primary completion rate, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above primary school graduation age and (ii) young people aged 15-24 years, who have completed primary school.",Primary completion rate,all students,male
Education,PRCRFERU,"Primary completion rate, rural, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above primary school graduation age and (ii) young people aged 15-24 years, who have completed primary school.",Primary completion rate,rural,female
Education,PRCRMARU,"Primary completion rate, rural, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above primary school graduation age and (ii) young people aged 15-24 years, who have completed primary school.",Primary completion rate,rural,male
Education,PRCRFEUR,"Primary completion rate, urban, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above primary school graduation age and (ii) young people aged 15-24 years, who have completed primary school.",Primary completion rate,urban,female
Education,PRCRMAUR,"Primary completion rate, urban, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Educational For All Monitoring Project (EFA) Global Monitoring Report","Percentage of (i) children and young people aged 3-7 years above primary school graduation age and (ii) young people aged 15-24 years, who have completed primary school.",Primary completion rate,urban,male
Education,EASLFEIN,"Educational attainment (lower secondary) of the population aged 25 and older, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),lower secondary,female
Education,EASLMAIN,"Educational attainment (lower secondary) of the population aged 25 and older, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),lower secondary,male
Education,EASLTOIN,"Educational attainment (lower secondary) of the population aged 25 and older, total",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),lower secondary,total
Education,EAPSFEIN,"Educational attainment (post-secondary) of the population aged 25 and older, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),post-secondary,female
Education,EAPSMAIN,"Educational attainment (post-secondary) of the population aged 25 and older, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),post-secondary,male
Education,EAPSTOIN,"Educational attainment (post-secondary) of the population aged 25 and older, total",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),post-secondary,total
Education,EAPLFEIN,"Educational attainment (primary) of the population aged 25 and older, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),primary,female
Education,EAPLMAIN,"Educational attainment (primary) of the population aged 25 and older, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),primary,male
Education,EAPLTOIN,"Educational attainment (primary) of the population aged 25 and older, total",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),primary,total
Education,EATLFEIN,"Educational attainment (tertiary) of the population aged 25 and older, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),tertiary,female
Education,EATLMAIN,"Educational attainment (tertiary) of the population aged 25 and older, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),tertiary,male
Education,EATLTOIN,"Educational attainment (tertiary) of the population aged 25 and older, total",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),tertiary,total
Education,EASUFEIN,"Educational attainment (upper secondary) of the population aged 25 and older, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),upper secondary,female
Education,EASUMAIN,"Educational attainment (upper secondary) of the population aged 25 and older, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),upper secondary,male
Education,EASUTOIN,"Educational attainment (upper secondary) of the population aged 25 and older, total",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Educational attainment (pop. age 25+),upper secondary,total
Education,TRPSFEIN,"Effective transition rate from primary to secondary school, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of new entrants to the first grade of the higher level of education in the following year expressed as a percentage of the students enrolled in the last grade of the given level of education in the given year who do not repeat that grade the following year.,Transition rate (primary to secondary),,female
Education,TRPSMAIN,"Effective transition rate from primary to secondary school, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of new entrants to the first grade of the higher level of education in the following year expressed as a percentage of the students enrolled in the last grade of the given level of education in the given year who do not repeat that grade the following year.,Transition rate (primary to secondary),,male
Education,TRPSTOIN,"Effective transition rate from primary to secondary school, total",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of new entrants to the first grade of the higher level of education in the following year expressed as a percentage of the students enrolled in the last grade of the given level of education in the given year who do not repeat that grade the following year.,Transition rate (primary to secondary),,total
Education,TEDAGRFE,"Enrollment in tertiary education, agriculture, female",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of females enrolled in tertiary education, per program",Enrollment in tertiary education,agriculture,female
Education,TEDAGRMA,"Enrollment in tertiary education, agriculture, male",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of males enrolled in tertiary education, per program",Enrollment in tertiary education,agriculture,male
Education,TEDAGRTO,"Enrollment in tertiary education, agriculture, total",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of total males and females enrolled in tertiary education, per program",Enrollment in tertiary education,agriculture,total
Education,TEDALLFE,"Enrollment in tertiary education, all programs, female",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of females enrolled in tertiary education, per program",Enrollment in tertiary education,all programs,female
Education,TEDALLMA,"Enrollment in tertiary education, all programs, male",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of males enrolled in tertiary education, per program",Enrollment in tertiary education,all programs,male
Education,TEDALLTO,"Enrollment in tertiary education, all programs, total",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of total males and females enrolled in tertiary education, per program",Enrollment in tertiary education,all programs,total
Education,TEDEDUFE,"Enrollment in tertiary education, education, female",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of females enrolled in tertiary education, per program",Enrollment in tertiary education,education,female
Education,TEDEDUMA,"Enrollment in tertiary education, education, male",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of males enrolled in tertiary education, per program",Enrollment in tertiary education,education,male
Education,TEDEDUTO,"Enrollment in tertiary education, education, total",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of total males and females enrolled in tertiary education, per program",Enrollment in tertiary education,education,total
Education,TEDENGFE,"Enrollment in tertiary education, engineering, manufacturing and construction, female",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of females enrolled in tertiary education, per program",Enrollment in tertiary education,"engineering, manufacturing and construction",female
Education,TEDENGMA,"Enrollment in tertiary education, engineering, manufacturing and construction, male",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of males enrolled in tertiary education, per program",Enrollment in tertiary education,"engineering, manufacturing and construction",male
Education,TEDENGTO,"Enrollment in tertiary education, engineering, manufacturing and construction, total",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of total males and females enrolled in tertiary education, per program",Enrollment in tertiary education,"engineering, manufacturing and construction",total
Education,TEDGENFE,"Enrollment in tertiary education, general programs, female",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of females enrolled in tertiary education, per program",Enrollment in tertiary education,general programs,female
Education,TEDGENMA,"Enrollment in tertiary education, general programs, male",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of males enrolled in tertiary education, per program",Enrollment in tertiary education,general programs,male
Education,TEDGENTO,"Enrollment in tertiary education, general programs, total",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of total males and females enrolled in tertiary education, per program",Enrollment in tertiary education,general programs,total
Education,TEDHEWFE,"Enrollment in tertiary education, health and welfare, female",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of females enrolled in tertiary education, per program",Enrollment in tertiary education,health and welfare,female
Education,TEDHEWMA,"Enrollment in tertiary education, health and welfare, male",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of males enrolled in tertiary education, per program",Enrollment in tertiary education,health and welfare,male
Education,TEDHEWTO,"Enrollment in tertiary education, health and welfare, total",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of total males and females enrolled in tertiary education, per program",Enrollment in tertiary education,health and welfare,total
Education,TEDHUMFE,"Enrollment in tertiary education, humanities and arts, female",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of females enrolled in tertiary education, per program",Enrollment in tertiary education,humanities and arts,female
Education,TEDHUMMA,"Enrollment in tertiary education, humanities and arts, male",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of males enrolled in tertiary education, per program",Enrollment in tertiary education,humanities and arts,male
Education,TEDHUMTO,"Enrollment in tertiary education, humanities and arts, total",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of total males and females enrolled in tertiary education, per program",Enrollment in tertiary education,humanities and arts,total
Education,ENTEFEIN,"Enrollment in tertiary education, per 100,000 inhabitants, female","Number Per 100,000","UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Total number of students enrolled in a tertiary education in a given academic year divided by the country's population, and adjusted for every 100,000 inhabitants.",Enrollment in tertiary education,"per 100,000 inhabitants",female
Education,ENTEMAIN,"Enrollment in tertiary education, per 100,000 inhabitants, male","Number Per 100,000","UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Total number of students enrolled in a tertiary education in a given academic year divided by the country's population, and adjusted for every 100,000 inhabitants.",Enrollment in tertiary education,"per 100,000 inhabitants",male
Education,ENTETOIN,"Enrollment in tertiary education, per 100,000 inhabitants, total","Number Per 100,000","UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Total number of students enrolled in a tertiary education in a given academic year divided by the country's population, and adjusted for every 100,000 inhabitants.",Enrollment in tertiary education,"per 100,000 inhabitants",total
Education,TEDSCNFE,"Enrollment in tertiary education, science, female",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of females enrolled in tertiary education, per program",Enrollment in tertiary education,science,female
Education,TEDSCNMA,"Enrollment in tertiary education, science, male",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of males enrolled in tertiary education, per program",Enrollment in tertiary education,science,male
Education,TEDSCNTO,"Enrollment in tertiary education, science, total",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of total males and females enrolled in tertiary education, per program",Enrollment in tertiary education,science,total
Education,TEDSVCFE,"Enrollment in tertiary education, services, female",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of females enrolled in tertiary education, per program",Enrollment in tertiary education,services,female
Education,TEDSVCMA,"Enrollment in tertiary education, services, male",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of males enrolled in tertiary education, per program",Enrollment in tertiary education,services,male
Education,TEDSVCTO,"Enrollment in tertiary education, services, total",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of total males and females enrolled in tertiary education, per program",Enrollment in tertiary education,services,total
Education,TEDSBLFE,"Enrollment in tertiary education, social sciences, business and law, female",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of females enrolled in tertiary education, per program",Enrollment in tertiary education,"social sciences, business and law",female
Education,TEDSBLMA,"Enrollment in tertiary education, social sciences, business and law, male",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of males enrolled in tertiary education, per program",Enrollment in tertiary education,"social sciences, business and law",male
Education,TEDSBLTO,"Enrollment in tertiary education, social sciences, business and law, total",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of total males and females enrolled in tertiary education, per program",Enrollment in tertiary education,"social sciences, business and law",total
Education,TEDUNSFE,"Enrollment in tertiary education, unspecified programs, female",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of females enrolled in tertiary education, per program",Enrollment in tertiary education,unspecified programs,female
Education,TEDUNSMA,"Enrollment in tertiary education, unspecified programs, male",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of males enrolled in tertiary education, per program",Enrollment in tertiary education,unspecified programs,male
Education,TEDUNSTO,"Enrollment in tertiary education, unspecified programs, total",Number,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Number of total males and females enrolled in tertiary education, per program",Enrollment in tertiary education,unspecified programs,total
Education,LITRFEIN,"Literacy rate, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Adult literacy rate, population 15+ years, female (%)",Literacy rate,,female
Education,LITRMAIN,"Literacy rate, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Adult literacy rate, population 15+ years, male (%)",Literacy rate,,male
Education,LITRTOIN,"Literacy rate, total",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Adult literacy rate, population 15+ years, total (%)",Literacy rate,,total
Education,NERAPPFE,"Net enrollment ratio in pre-primary school, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","The number of children enrolled in pre-primary school who belong to the age group that officially corresponds to pre-primary schooling, divided by the total population of the same age group.",Net enrollment ratio,pre-primary school,female
Education,NERAPPGP,"Net enrollment ratio in pre-primary school, GPI",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","The number of children enrolled in pre-primary school who belong to the age group that officially corresponds to pre-primary schooling, divided by the total population of the same age group.",Net enrollment ratio GPI,pre-primary school,
Education,NERAPPMA,"Net enrollment ratio in pre-primary school, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","The number of children enrolled in pre-primary school who belong to the age group that officially corresponds to pre-primary schooling, divided by the total population of the same age group.",Net enrollment ratio,pre-primary school,male
Education,PERPRSFE,"Persistence to last grade of primary school, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Survival rate to last grade of primary, female %",Persistence to last grade of primary school,,female
Education,PERPRSMA,"Persistence to last grade of primary school, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Survival rate to last grade of primary, male %",Persistence to last grade of primary school,,male
Education,PERPRSTO,"Persistence to last grade of primary school, total",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Survival rate to last grade of primary, total %",Persistence to last grade of primary school,,total
Education,PRSCREFE,"Primary school repeaters, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Percentage of female repeaters in primary school,Primary school repeaters,,female
Education,PRSCREMA,"Primary school repeaters, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Percentage of male repeaters in primary school,Primary school repeaters,,male
Education,PRSCRETO,"Primary school repeaters, total",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Percentage of total repeaters in primary school,Primary school repeaters,,total
Education,GRENFETL,"Share of engineering, manufacturing and construction graduates at tertiary level, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Share of graduates at tertiary level,"engineering, manufacturing and construction",female
Education,GRSCFETL,"Share of science graduates at tertiary level, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics",Number of students enrolled in each field over the total enrollment in tertiary education in a specific academic-year.,Share of graduates at tertiary level,science,female
Education,LITRFEYT,"Youth literacy rate, female",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Youth literacy rate, population 15-24 years, total (%)",Youth literacy rate,,female
Education,LITRMAYT,"Youth literacy rate, male",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Youth literacy rate, population 15-24 years, total (%)",Youth literacy rate,,male
Education,LITRTOYT,"Youth literacy rate, total",%,"UN Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics","Youth literacy rate, population 15-24 years, total (%)",Youth literacy rate,,total
Education,SCCRFEIN,"Secondary completion rate, female",%,World Bank DHS; UNICEF's MICS,Percentage of female students enrolled in secondary school who graduate,Secondary completion rate,,female
Education,SCCRMAIN,"Secondary completion rate, male",%,World Bank DHS; UNICEF's MICS,Percentage of male students enrolled in secondary school who graduate,Secondary completion rate,,male
Education,SCCRTOIN,"Secondary completion rate, total",%,World Bank DHS; UNICEF's MICS,Percentage of total students enrolled in secondary school who graduate,Secondary completion rate,,total
Education,YRSCFEIN,"Mean years of schooling, 25+ years, female",Years,"World Bank, IIASA","Provides the average number of years of education completed by a country’s adult population (25 years and older), excluding years spent repeating grades.",Mean years of schooling,25+ years,female
Education,YRSCMAIN,"Mean years of schooling, 25+ years, male",Years,"World Bank, IIASA","Provides the average number of years of education completed by a country’s adult population (25 years and older), excluding years spent repeating grades.",Mean years of schooling,25+ years,male
Education,YRSCTOIN,"Mean years of schooling, 25+ years, total",Years,"World Bank, IIASA","Provides the average number of years of education completed by a country’s adult population (25 years and older), excluding years spent repeating grades.",Mean years of schooling,25+ years,total
Education,PRMAFEIN,"Achieving basics in mathematics, female",%,World Inequality Database on Education (WIDE),Percentage of children taking part in an assessment who achieved an international minimum learning standard in mathematics. (Primary level),Achieving basics in mathematics,all students,female
Education,WDMTQHFE,"Achieving basics in mathematics, female, highest income quintile",%,World Inequality Database on Education (WIDE),Percentage of children taking part in an assessment who achieved an international minimum learning standard in mathematics by hosehold wealth index. (Primary level),Achieving basics in mathematics,highest income quintile,female
Education,WDMTQLFE,"Achieving basics in mathematics, female, lowest income quintile",%,World Inequality Database on Education (WIDE),Percentage of children taking part in an assessment who achieved an international minimum learning standard in mathematics by hosehold wealth index. (Primary level),Achieving basics in mathematics,lowest income quintile,female
Education,PRMAMAIN,"Achieving basics in mathematics, male",%,World Inequality Database on Education (WIDE),Percentage of children taking part in an assessment who achieved an international minimum learning standard in mathematics. (Primary level),Achieving basics in mathematics,all students,male
Education,PRREFEIN,"Achieving basics in reading, female",%,World Inequality Database on Education (WIDE),Percentage of children taking part in an assessment who achieved an international minimum learning standard in reading. (Primary level),Achieving basics in reading,all students,female
Education,WDREQHFE,"Achieving basics in reading, female, highest income quintile",%,World Inequality Database on Education (WIDE),Percentage of children taking part in an assessment who achieved an international minimum learning standard in reading by hosehold wealth index. (Primary level),Achieving basics in reading,highest income quintile,female
Education,WDREQLFE,"Achieving basics in reading, female, lowest income quintile",%,World Inequality Database on Education (WIDE),Percentage of children taking part in an assessment who achieved an international minimum learning standard in reading by hosehold wealth index. (Primary level),Achieving basics in reading,lowest income quintile,female
Education,PRREMAIN,"Achieving basics in reading, male",%,World Inequality Database on Education (WIDE),Percentage of children taking part in an assessment who achieved an international minimum learning standard in reading. (Primary level),Achieving basics in reading,all students,male
Education,PRSCFEIN,"Achieving basics in science, female",%,World Inequality Database on Education (WIDE),Percentage of children taking part in an assessment who achieved an international minimum learning standard in science. (Primary level),Achieving basics in science,all students,female
Education,WDSCQHFE,"Achieving basics in science, female, highest income quintile",%,World Inequality Database on Education (WIDE),Percentage of children taking part in an assessment who achieved an international minimum learning standard in science by hosehold wealth index. (Primary level),Achieving basics in science,highest income quintile,female
Education,WDSCQLFE,"Achieving basics in science, female, lowest income quintile",%,World Inequality Database on Education (WIDE),Percentage of children taking part in an assessment who achieved an international minimum learning standard in science by hosehold wealth index. (Primary level),Achieving basics in science,lowest income quintile,female
Education,PRSCMAIN,"Achieving basics in science, male",%,World Inequality Database on Education (WIDE),Percentage of children taking part in an assessment who achieved an international minimum learning standard in science. (Primary level),Achieving basics in science,all students,male
Economy,ECMSFDHS,Married women's control over earnings - self only,%,DHS Household Surveys,"Percent distribution of women employed in the 12 months who received cash earning for work by person who decides how earnings are used, according to current marital status and the proportion of household expenditures met by earnings.",Control over earnings,"Married women, self only",
Economy,ECMSODHS,Married women's control over earnings - someone else only,%,DHS Household Surveys,"Percent distribution of women employed in the 12 months who received cash earning for work by person who decides how earnings are used, according to current marital status and the proportion of household expenditures met by earnings.",Control over earnings,"Married women, someone else only",
Economy,OFDHHDHS,"Occupation - domestic and household work, Female",%,DHS Household Surveys,Percent distribution of women employed in the 12 months before the survey in domestic and household work.,Occupation,domestic and household work,female
Economy,OMDHHDHS,"Occupation - domestic and household work, Male",%,DHS Household Surveys,Percent distribution of men employed in the 12 months before the survey in domestic and household work.,Occupation,domestic and household work,male
Economy,AFFAMDHS,"Occupation - family land agriculture, Female",%,DHS Household Surveys,Percent distribution of women employed in family land agriculture in the 12 months before the DHS survey.,Occupation,family land agriculture,female
Economy,AMFAMDHS,"Occupation - family land agriculture, Male",%,DHS Household Surveys,Percent distribution of men employed in family land agriculture in the 12 months before the DHS survey.,Occupation,family land agriculture,male
Economy,AFOWNDHS,"Occupation - own land agriculture, Female",%,DHS Household Surveys,Percent distribution of women employed in own land agriculture in the 12 months before the DHS survey.,Occupation,own land agriculture,female
Economy,AMOWNDHS,"Occupation - own land agriculture, Male",%,DHS Household Surveys,Percent distribution of men employed in own land agriculture in the 12 months before the DHS survey.,Occupation,own land agriculture,male
Economy,ECSSFDHS,Single women's control over earnings - self only,%,DHS Household Surveys,"Percent distribution of women employed in the 12 months who received cash earning for work by person who decides how earnings are used, according to current marital status and the proportion of household expenditures met by earnings.",Control over earnings,"Single women, self only",
Economy,ECSSODHS,Single women's control over earnings - someone else only,%,DHS Household Surveys,"Percent distribution of women employed in the 12 months who received cash earning for work by person who decides how earnings are used, according to current marital status and the proportion of household expenditures met by earnings.",Control over earnings,"Single Women, someone else only",
Economy,WCCSIDHS,Working women's formal child care - school or institution,%,DHS Household Surveys,Percent distribution of women employed by whether they have a child under six years of age and percent distribution of employed mothers who have a child under six years of age in child care at a school or institution.,Working women's formal child care,,
Economy,SRHFHFAO,"Share of rural households that are female headed, Total",%,Food and Agriculture Organization of the United Nations (FAO),Share of rural households that are female-headed,Female headed households,,rural
Economy,SUHFHFAO,"Share of urban households that are female headed, Total",%,Food and Agriculture Organization of the United Nations (FAO),Share of urban households that are female-headed,Female headed households,,urban
Economy,ESEAFGEM,"Early stage entrepreneurial activity, Female",%,Global Entrepreneurship Monitor (GEM),Percentage of female 18-64 population who are either a nascent entrepreneur or owner-manager of a new business,Early stage entrepreneurial activity,,female
Economy,ESEAMGEM,"Early stage entrepreneurial activity, Male",%,Global Entrepreneurship Monitor (GEM),Percentage of male 18-64 population who are either a nascent entrepreneur or owner-manager of a new business,Early stage entrepreneurial activity,,male
Economy,LFIPFEIN,"Loan from a financial institution in the past year, Female",%,Global Findex,Share of females age 15+ that received a loan from a financial institution in the past year,Loan in the past year,from a financial institution,female
Economy,LFIPMAIN,"Loan from a financial institution in the past year, Male",%,Global Findex,Share of males age 15+ that received a loan from a financial institution in the past year,Loan in the past year,from a financial institution,male
Economy,LEPYFEIN,"Loan from an employer in the past year, Female",%,Global Findex,Share of females age 15+ that received a loan from an employer in the past year,Loan in the past year,from an employer,female
Economy,LEPYMAIN,"Loan from an employer in the past year, Male",%,Global Findex,Share of males age 15+ that received a loan from an employer in the past year,Loan in the past year,from an employer,male
Economy,LFFPFEIN,"Loan from family or friends in the past year, Female",%,Global Findex,Share of females age 15+ that received a loan from a family or friend in the past year,Loan in the past year,from family or friends,female
Economy,LFFPMAIN,"Loan from family or friends in the past year, Male",%,Global Findex,Share of males age 15+ that received a loan from a family or friend in the past year,Loan in the past year,from family or friends,male
Economy,LIPYFEIN,"Loan in the past year, Female",%,Global Findex,Share of females age 15+ that received a loan in the past year,Loan in the past year,,female
Economy,LIPYMAIN,"Loan in the past year, Male",%,Global Findex,Share of males age 15+ that received a loan in the past year,Loan in the past year,,male
Economy,LSCPFEIN,"Loan through store credit in the past year, Female",%,Global Findex,Share of females age 15+ that received a loan through store credit in the past year,Loan in the past year,through store credit,female
Economy,LSCPMAIN,"Loan through store credit in the past year, Male",%,Global Findex,Share of males age 15+ that received a loan through store credit in the past year,Loan in the past year,through store credit,male
Economy,SFIPFEIN,"Saved at a financial institution in the past year, Female",%,Global Findex,Share of females age 15+ that saved at a financial institutions in the past year,Saved at a financial institution in the past year,,female
Economy,SFIPMAIN,"Saved at a financial institution in the past year, Male",%,Global Findex,Share of males age 15+ that saved at a financial institutions in the past year,Saved at a financial institution in the past year,,male
Economy,AESWFEIE,"Agricultural employment, Female",%,Informal Economy 2012 Country Data,"Agricultural employment, female (Share of women in employment by type)",Agricultural employment,employment,female
Economy,ASESFEIE,"Agricultural self-employment, Female",%,Informal Economy 2012 Country Data,"Agricultural self-employment, female (Share of women in employment by type)",Agricultural employment,self-employment,female
Economy,AWESFEIE,"Agricultural wage employment, Female",%,Informal Economy 2012 Country Data,"Agricultural wage employment, female (Share of women in employment by type)",Agricultural employment,wage employment,female
Economy,DWEHFEIE,"Domestic workers employed by households, Female",%,Informal Economy 2012 Country Data,"Domestic workers employed by households (Informal non-agricultural employment by status in employment, female)",Domestic workers employed by households,,female
Economy,DWEHMAIE,"Domestic workers employed by households, Male",%,Informal Economy 2012 Country Data,"Domestic workers employed by households (Informal non-agricultural employment by status in employment, male)",Domestic workers employed by households,,male
Economy,DWEHTOIE,"Domestic workers employed by households, Total",%,Informal Economy 2012 Country Data,"Domestic workers employed by households (Informal non-agricultural employment by status in employment, total)",Domestic workers employed by households,,total
Economy,ANAAFEIE,"Informal employment in all non-agricultural activities, Female",%,Informal Economy 2012 Country Data,"Informal employment in all non-agricultural activities, female (Share of informal employment by kind)",Informal employment,in all non-agricultural activities,female
Economy,ANAAMAIE,"Informal employment in all non-agricultural activities, Male",%,Informal Economy 2012 Country Data,"Informal employment in all non-agricultural activities, male (Share of informal employment by kind)",Informal employment,in all non-agricultural activities,male
Economy,ANAATOIE,"Informal employment in all non-agricultural activities, Total",%,Informal Economy 2012 Country Data,"Informal employment in all non-agricultural activities, total (Share of informal employment by kind)",Informal employment,in all non-agricultural activities,total
Economy,CSIEFEIE,"Informal employment in construction, Female",%,Informal Economy 2012 Country Data,"Informal employment in construction, female (Share of informal employment by kind)",Informal employment,in construction,female
Economy,CSIEMAIE,"Informal employment in construction, Male",%,Informal Economy 2012 Country Data,"Informal employment in construction, male (Share of informal employment by kind)",Informal employment,in construction,male
Economy,CSIETOIE,"Informal employment in construction, Total",%,Informal Economy 2012 Country Data,"Informal employment in construction, total (Share of informal employment by kind)",Informal employment,in construction,total
Economy,MSIEFEIE,"Informal employment in manufacturing, Female",%,Informal Economy 2012 Country Data,"Informal employment in manufacturing, female (Share of informal employment by kind)",Informal employment,in manufacturing,female
Economy,MSIEMAIE,"Informal employment in manufacturing, Male",%,Informal Economy 2012 Country Data,"Informal employment in manufacturing, male (Share of informal employment by kind)",Informal employment,in manufacturing,male
Economy,MSIETOIE,"Informal employment in manufacturing, Total",%,Informal Economy 2012 Country Data,"Informal employment in manufacturing, total (Share of informal employment by kind)",Informal employment,in manufacturing,total
Economy,SSIEFEIE,"Informal employment in services other than trade or transportation, Female",%,Informal Economy 2012 Country Data,"Informal employment in services other than trade or transportation, female (Share of informal employment by kind)",Informal employment,in services other than trade or transportation,female
Economy,SSIEMAIE,"Informal employment in services other than trade or transportation, Male",%,Informal Economy 2012 Country Data,"Informal employment in services other than trade or transportation, male (Share of informal employment by kind)",Informal employment,in services other than trade or transportation,male
Economy,SSIETOIE,"Informal employment in services other than trade or transportation, Total",%,Informal Economy 2012 Country Data,"Informal employment in services other than trade or transportation, total (Share of informal employment by kind)",Informal employment,in services other than trade or transportation,total
Economy,TSIEFEIE,"Informal employment in trade, Female",%,Informal Economy 2012 Country Data,"Informal employment in trade, female (Share of informal employment by kind)",Informal employment,in trade,female
Economy,TSIEMAIE,"Informal employment in trade, Male",%,Informal Economy 2012 Country Data,"Informal employment in trade, male (Share of informal employment by kind)",Informal employment,in trade,male
Economy,TSIETOIE,"Informal employment in trade, Total",%,Informal Economy 2012 Country Data,"Informal employment in trade, total (Share of informal employment by kind)",Informal employment,in trade,total
Economy,TRIEFEIE,"Informal employment in transportation, Female",%,Informal Economy 2012 Country Data,"Informal employment in transportation, female (Share of informal employment by kind)",Informal employment,in transportation,female
Economy,TRIEMAIE,"Informal employment in transportation, Male",%,Informal Economy 2012 Country Data,"Informal employment in transportation, male (Share of informal employment by kind)",Informal employment,in transportation,male
Economy,TRIETOIE,"Informal employment in transportation, Total",%,Informal Economy 2012 Country Data,"Informal employment in transportation, total (Share of informal employment by kind)",Informal employment,in transportation,total
Economy,MONWAGFE,"Monthly wages for females, Female",Local currency units,International Labour Organization (ILO),Monthly wages of females in local currency units,Monthly wages,,female
Economy,MONWAGMA,"Monthly wages for males, Male",Local currency units,International Labour Organization (ILO),Monthly wages of males in local currency units,Monthly wages,,male
Economy,LFLFFE15,"Aged 15+ that are part of the labour force, Female",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Number of females ages 15+ that are members of a country's working-age population that engages actively in the labour market, either by working or looking for work",Labor force participation,"Age 15+, number",female
Economy,LFLFMA15,"Aged 15+ that are part of the labour force, Male",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Number of males ages 15+ that are members of a country's working-age population that engages actively in the labour market, either by working or looking for work",Labor force participation,"Age 15+, number",male
Economy,LFLFTO15,"Aged 15+ that are part of the labour force, Total",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Number of males and females ages 15+ that are members of a country's working-age population that engages actively in the labour market, either by working or looking for work",Labor force participation,"Age 15+, number",total
Economy,LL15FE24,"Aged 15-24 that are part of the labour force, Female",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Number of females ages 15-24 that are members of a country's working-age population that engages actively in the labour market, either by working or looking for work",Labor force participation,"Age 15-24, number",female
Economy,LL15MA24,"Aged 15-24 that are part of the labour force, Male",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Number of males ages 15-24 that are members of a country's working-age population that engages actively in the labour market, either by working or looking for work",Labor force participation,"Age 15-24, number",male
Economy,LL15TO24,"Aged 15-24 that are part of the labour force, Total",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Number of males and females ages 15-24 that are members of a country's working-age population that engages actively in the labour market, either by working or looking for work",Labor force participation,"Age 15-24, number",total
Economy,LCFWFEIN,"Contributing family workers, Female",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Number of female contributing family workers. Contributing family workers are those workers who hold “self-employment jobs” as own-account workers in a market-oriented establishment operated by a related person living in the same household.,Status in employment,"contributing family workers, number",female
Economy,LCFWMAIN,"Contributing family workers, Male",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Number of male contributing family workers. Contributing family workers are those workers who hold “self-employment jobs” as own-account workers in a market-oriented establishment operated by a related person living in the same household.,Status in employment,"contributing family workers, number",male
Economy,LCFWTOIN,"Contributing family workers, Total",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Number of male and female contributing family workers. Contributing family workers are those workers who hold “self-employment jobs” as own-account workers in a market-oriented establishment operated by a related person living in the same household.,Status in employment,"contributing family workers, number",total
Economy,EECTFEEP,"Employment by economic class extremely poor, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of extremely poor (<US$1.25, PPP) females in total employment",Employment by economic class,extremely poor,female
Economy,EECTMAEP,"Employment by economic class extremely poor, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of extremely poor (<US$1.25, PPP) males in total employment",Employment by economic class,extremely poor,male
Economy,EECTTOEP,"Employment by economic class extremely poor, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of extremely poor (<US$1.25, PPP) males and females in total employment",Employment by economic class,extremely poor,total
Economy,EECTFEMP,"Employment by economic class, moderately poor, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of moderately poor (between US$1.25 and US$2, PPP) females in total employment",Employment by economic class,moderately poor,female
Economy,EECTMAMP,"Employment by economic class, moderately poor, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of moderately poor (between US$1.25 and US$2, PPP) males in total employment",Employment by economic class,moderately poor,male
Economy,EECTTOMP,"Employment by economic class, moderately poor, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of moderately poor (between US$1.25 and US$2, PPP) males and females in total employment",Employment by economic class,moderately poor,total
Economy,EECTFEDM,"Employment by economic class, developing middle class, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of developing middle class (between US$4 and US$13, PPP) females in total employment",Employment by economic class,developing middle class,female
Economy,EECTMADM,"Employment by economic class, developing middle class, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of developing middle class (between US$4 and US$13, PPP) males in total employment",Employment by economic class,developing middle class,male
Economy,EECTTODM,"Employment by economic class, developing middle class, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of developing middle class (between US$4 and US$13, PPP) males and females in total employment",Employment by economic class,developing middle class,total
Economy,EECTFENP,"Employment by economic class, near poor, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of near poor (between US$2 and US$4, PPP) females in total employment",Employment by economic class,near poor,female
Economy,EECTMANP,"Employment by economic class, near poor, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of near poor (between US$2 and US$4, PPP) males in total employment",Employment by economic class,near poor,male
Economy,EECTTONP,"Employment by economic class, near poor, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of near poor (between US$2 and US$4, PPP) males and females in total employment",Employment by economic class,near poor,total
Economy,NEETFEIN,"Not in education, employment or training, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The proportion of total female youth not in employment, education or training, the NEET rate, which is a broad measure of untapped potential of youth.","Not in education, employment or training",,female
Economy,NEETMAIN,"Not in education, employment or training, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The proportion of total male youth not in employment, education or training, the NEET rate, which is a broad measure of untapped potential of youth.","Not in education, employment or training",,male
Economy,NEETTOIN,"Not in education, employment or training, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The proportion of total female and male youth not in employment, education or training, the NEET rate, which is a broad measure of untapped potential of youth.","Not in education, employment or training",,total
Economy,LOAWFEIN,"Own-account workers, Female",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Number of females that are own-account workers. Own-account workers are those workers who, working on their own account or with one or more partners, hold the type of jobs defined as a “self-employment jobs”, and have not engaged on a continuous basis any employees to work for them.",Own-account workers,,female
Economy,LOAWMAIN,"Own-account workers, Male",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Number of females that are own-account workers. Own-account workers are those workers who, working on their own account or with one or more partners, hold the type of jobs defined as a “self-employment jobs”, and have not engaged on a continuous basis any employees to work for them.",Own-account workers,,male
Economy,LOAWTOIN,"Own-account workers, Total",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Number of females that are own-account workers. Own-account workers are those workers who, working on their own account or with one or more partners, hold the type of jobs defined as a “self-employment jobs”, and have not engaged on a continuous basis any employees to work for them.",Own-account workers,,total
Economy,PTERFEIN,"Part-time employment rate, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females whose working hours total less than ""full time"", as a proportion of total employment.",Part-time employment rate,,female
Economy,PTERMAIN,"Part-time employment rate, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males whose working hours total less than ""full time"", as a proportion of total employment.",Part-time employment rate,,male
Economy,PTERTOIN,"Part-time employment rate, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females and males whose working hours total less than ""full time"", as a proportion of total employment.",Part-time employment rate,,total
Economy,LFSFFE15,"Share aged 15+ that are part of the labour force, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females ages 15+ that are members of a country's working-age population that engages actively in the labour market, either by working or looking for work",Labor force participation,"Age 15+, share",female
Economy,LFSFMA15,"Share aged 15+ that are part of the labour force, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males ages 15+ that are members of a country's working-age population that engages actively in the labour market, either by working or looking for work",Labor force participation,"Age 15+, share",male
Economy,LFSFTO15,"Share aged 15+ that are part of the labour force, Total, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males and females ages 15+ that are members of a country's working-age population that engages actively in the labour market, either by working or looking for work",Labor force participation,"Age 15+, share",total
Economy,LF15FE24,"Share aged 15-24 that are part of the labour force, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females ages 15-24 that are members of a country's working-age population that engages actively in the labour market, either by working or looking for work",Labor force participation,"Age 15-24, share",female
Economy,LF15MA24,"Share aged 15-24 that are part of the labour force, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males ages 15-24 that are members of a country's working-age population that engages actively in the labour market, either by working or looking for work",Labor force participation,"Age 15-24, share",male
Economy,LF15TO24,"Share aged 15-24 that are part of the labour force, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females and males ages 15-24 that are members of a country's working-age population that engages actively in the labour market, either by working or looking for work",Labor force participation,"Age 15-24, share",total
Economy,SEOFE0AB,"Share employed by occupation, 0 - Armed Forces occupations, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women that have armed forces occupations.,Share employed by occupation,0 - Armed Forces occupations,female
Economy,SEOMA0AB,"Share employed by occupation, 0 - Armed Forces occupations, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men that have armed forces occupations.,Share employed by occupation,0 - Armed Forces occupations,male
Economy,SEOTO0AB,"Share employed by occupation, 0 - Armed Forces occupations, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women that have armed forces occupations.,Share employed by occupation,0 - Armed Forces occupations,total
Economy,SEOFE15A,"Share employed by occupation, 1A - Managers, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women that are Managers.,Share employed by occupation,1A - Managers,female
Economy,SEOMA15A,"Share employed by occupation, 1A - Managers, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men that are Managers.,Share employed by occupation,1A - Managers,male
Economy,SEOTO15A,"Share employed by occupation, 1A - Managers, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women that are Managers.,Share employed by occupation,1A - Managers,total
Economy,SEOFE15B,"Share employed by occupation, 1B - Legislators, senior officials and managers, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of women that are Legislators, senior officials and managers.",Share employed by occupation,"1B - Legislators, senior officials and managers",female
Economy,SEOMA15B,"Share employed by occupation, 1B - Legislators, senior officials and managers, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men that are Legislators, senior officials and managers.",Share employed by occupation,"1B - Legislators, senior officials and managers",male
Economy,SEOTO15B,"Share employed by occupation, 1B - Legislators, senior officials and managers, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men and women that are Legislators, senior officials and managers.",Share employed by occupation,"1B - Legislators, senior officials and managers",total
Economy,SEOFE2AB,"Share employed by occupation, 2 - Professionals, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women that are Professionals,Share employed by occupation,2 - Professionals,female
Economy,SEOMA2AB,"Share employed by occupation, 2 - Professionals, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men that are Professionals,Share employed by occupation,2 - Professionals,male
Economy,SEOTO2AB,"Share employed by occupation, 2 - Professionals, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women that are Professionals,Share employed by occupation,2 - Professionals,total
Economy,SEOFE3AB,"Share employed by occupation, 3 - Technicians and associate professionals, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women that are Technicians and associate professionals,Share employed by occupation,3 - Technicians and associate professionals,female
Economy,SEOMA3AB,"Share employed by occupation, 3 - Technicians and associate professionals, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men that are Technicians and associate professionals,Share employed by occupation,3 - Technicians and associate professionals,male
Economy,SEOTO3AB,"Share employed by occupation, 3 - Technicians and associate professionals, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women that are Technicians and associate professionals,Share employed by occupation,3 - Technicians and associate professionals,total
Economy,SEOFE4AB,"Share employed by occupation, 4 - Clerical support workers, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women that are Clerical support workers,Share employed by occupation,4 - Clerical support workers,female
Economy,SEOMA4AB,"Share employed by occupation, 4 - Clerical support workers, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men that are Clerical support workers,Share employed by occupation,4 - Clerical support workers,male
Economy,SEOTO4AB,"Share employed by occupation, 4 - Clerical support workers, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women that are Clerical support workers,Share employed by occupation,4 - Clerical support workers,total
Economy,SEOFE5AB,"Share employed by occupation, 5 - Service and sales workers, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women that are service and sales workers.,Share employed by occupation,5 - Service and sales workers,female
Economy,SEOMA5AB,"Share employed by occupation, 5 - Service and sales workers, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men that are service and sales workers.,Share employed by occupation,5 - Service and sales workers,male
Economy,SEOTO5AB,"Share employed by occupation, 5 - Service and sales workers, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women that are service and sales workers.,Share employed by occupation,5 - Service and sales workers,total
Economy,SEOFE6AB,"Share employed by occupation, 6 - Skilled agricultural, forestry and fishery workers, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of women that are skilled agricultural, forestry and fishery workers",Share employed by occupation,"6 - Skilled agricultural, forestry and fishery workers",female
Economy,SEOMA6AB,"Share employed by occupation, 6 - Skilled agricultural, forestry and fishery workers, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men that are skilled agricultural, forestry and fishery workers",Share employed by occupation,"6 - Skilled agricultural, forestry and fishery workers",male
Economy,SEOTO6AB,"Share employed by occupation, 6 - Skilled agricultural, forestry and fishery workers, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men and women that are skilled agricultural, forestry and fishery workers",Share employed by occupation,"6 - Skilled agricultural, forestry and fishery workers",total
Economy,SEOFE7AB,"Share employed by occupation, 7 - Craft and related trades workers, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women that are craft and related trades workers,Share employed by occupation,7 - Craft and related trades workers,female
Economy,SEOMA7AB,"Share employed by occupation, 7 - Craft and related trades workers, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men that are craft and related trades workers,Share employed by occupation,7 - Craft and related trades workers,male
Economy,SEOTO7AB,"Share employed by occupation, 7 - Craft and related trades workers, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women that are craft and related trades workers,Share employed by occupation,7 - Craft and related trades workers,total
Economy,SEOFE8AB,"Share employed by occupation, 8 - Plant and machine operators, and assemblers, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women that are plant and machine operators and assemblers,Share employed by occupation,"8 - Plant and machine operators, and assemblers",female
Economy,SEOMA8AB,"Share employed by occupation, 8 - Plant and machine operators, and assemblers, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men that are plant and machine operators and assemblers,Share employed by occupation,"8 - Plant and machine operators, and assemblers",male
Economy,SEOTO8AB,"Share employed by occupation, 8 - Plant and machine operators, and assemblers, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women that are plant and machine operators and assemblers,Share employed by occupation,"8 - Plant and machine operators, and assemblers",total
Economy,SEOFE9AB,"Share employed by occupation, 9 - Elementary occupations, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women that have elementary occupations,Share employed by occupation,9 - Elementary occupations,female
Economy,SEOMA9AB,"Share employed by occupation, 9 - Elementary occupations, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men that have elementary occupations,Share employed by occupation,9 - Elementary occupations,male
Economy,SEOTO9AB,"Share employed by occupation, 9 - Elementary occupations, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women that have elementary occupations,Share employed by occupation,9 - Elementary occupations,total
Economy,SEOFEXAB,"Share employed by occupation, X - Workers Not Classifiable by Occupation, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women that are workers not classifiable by occupation,Share employed by occupation,X - Workers Not Classifiable by Occupation,female
Economy,SEOMAXAB,"Share employed by occupation, X - Workers Not Classifiable by Occupation, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men that are workers not classifiable by occupation,Share employed by occupation,X - Workers Not Classifiable by Occupation,male
Economy,SEOTOXAB,"Share employed by occupation, X - Workers Not Classifiable by Occupation, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women that are workers not classifiable by occupation,Share employed by occupation,X - Workers Not Classifiable by Occupation,total
Economy,SWESFEA3,"Share employed by sector, A - Agriculture, hunting and forestry, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of women employed in Agriculture, hunting and forestry",Share employed by sector (detailed),"A - Agriculture, hunting and forestry",female
Economy,SWESMAA3,"Share employed by sector, A - Agriculture, hunting and forestry, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men employed in Agriculture, hunting and forestry",Share employed by sector (detailed),"A - Agriculture, hunting and forestry",male
Economy,SWESTOA3,"Share employed by sector, A - Agriculture, hunting and forestry, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men and women employed in Agriculture, hunting and forestry",Share employed by sector (detailed),"A - Agriculture, hunting and forestry",total
Economy,SWESFEB3,"Share employed by sector, B - Fishing, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women employed in Fishing,Share employed by sector (detailed),B - Fishing,female
Economy,SWESMAB3,"Share employed by sector, B - Fishing, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men employed in Fishing,Share employed by sector (detailed),B - Fishing,male
Economy,SWESTOB3,"Share employed by sector, B - Fishing, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women employed in Fishing,Share employed by sector (detailed),B - Fishing,total
Economy,SWESFEC3,"Share employed by sector, C - Mining and quarrying, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women employed in Mining and quarrying,Share employed by sector (detailed),C - Mining and quarrying,female
Economy,SWESMAC3,"Share employed by sector, C - Mining and quarrying, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men employed in Mining and quarrying,Share employed by sector (detailed),C - Mining and quarrying,male
Economy,SWESTOC3,"Share employed by sector, C - Mining and quarrying, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women employed in Mining and quarrying,Share employed by sector (detailed),C - Mining and quarrying,total
Economy,SWESFED3,"Share employed by sector, D - Manufacturing, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women employed in Manufacturing,Share employed by sector (detailed),D - Manufacturing,female
Economy,SWESMAD3,"Share employed by sector, D - Manufacturing, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men employed in Manufacturing,Share employed by sector (detailed),D - Manufacturing,male
Economy,SWESTOD3,"Share employed by sector, D - Manufacturing, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women employed in Manufacturing,Share employed by sector (detailed),D - Manufacturing,total
Economy,SWESFEE3,"Share employed by sector, E - Electricity, gas and water supply, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of women employed in Electricity, gas and water supply",Share employed by sector (detailed),"E - Electricity, gas and water supply",female
Economy,SWESMAE3,"Share employed by sector, E - Electricity, gas and water supply, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men employed in Electricity, gas and water supply",Share employed by sector (detailed),"E - Electricity, gas and water supply",male
Economy,SWESTOE3,"Share employed by sector, E - Electricity, gas and water supply, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men and women employed in Electricity, gas and water supply",Share employed by sector (detailed),"E - Electricity, gas and water supply",total
Economy,SWESFEF3,"Share employed by sector, F - Construction, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women employed in Construction,Share employed by sector (detailed),F - Construction,female
Economy,SWESMAF3,"Share employed by sector, F - Construction, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men employed in Construction,Share employed by sector (detailed),F - Construction,male
Economy,SWESTOF3,"Share employed by sector, F - Construction, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women employed in Construction,Share employed by sector (detailed),F - Construction,total
Economy,SWESFEG3,"Share employed by sector, G - Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of women employed by in Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods",Share employed by sector (detailed),"G - Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods",female
Economy,SWESMAG3,"Share employed by sector, G - Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men employed by in Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods",Share employed by sector (detailed),"G - Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods",male
Economy,SWESTOG3,"Share employed by sector, G - Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men and women employed by in Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods",Share employed by sector (detailed),"G - Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods",total
Economy,SWESFEH3,"Share employed by sector, H - Hotels and restaurants, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women employed in Hotels and restaurants,Share employed by sector (detailed),H - Hotels and restaurants,female
Economy,SWESMAH3,"Share employed by sector, H - Hotels and restaurants, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men employed in Hotels and restaurants,Share employed by sector (detailed),H - Hotels and restaurants,male
Economy,SWESTOH3,"Share employed by sector, H - Hotels and restaurants, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women employed in Hotels and restaurants,Share employed by sector (detailed),H - Hotels and restaurants,total
Economy,SWESFEI3,"Share employed by sector, I - Transport, storage and communications, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of women employed in Transport, storage and communications",Share employed by sector (detailed),"I - Transport, storage and communications",female
Economy,SWESMAI3,"Share employed by sector, I - Transport, storage and communications, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men employed in Transport, storage and communications",Share employed by sector (detailed),"I - Transport, storage and communications",male
Economy,SWESTOI3,"Share employed by sector, I - Transport, storage and communications, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men and women employed in Transport, storage and communications",Share employed by sector (detailed),"I - Transport, storage and communications",total
Economy,SWESFEJ3,"Share employed by sector, J - Financial intermediation, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women employed in Financial intermediation,Share employed by sector (detailed),J - Financial intermediation,female
Economy,SWESMAJ3,"Share employed by sector, J - Financial intermediation, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men employed in Financial intermediation,Share employed by sector (detailed),J - Financial intermediation,male
Economy,SWESTOJ3,"Share employed by sector, J - Financial intermediation, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women employed in Financial intermediation,Share employed by sector (detailed),J - Financial intermediation,total
Economy,SWESFEK3,"Share employed by sector, K - Real estate, renting and business activities, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of women employed in Real estate, renting and business activities",Share employed by sector (detailed),"K - Real estate, renting and business activities",female
Economy,SWESMAK3,"Share employed by sector, K - Real estate, renting and business activities, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men employed in Real estate, renting and business activities",Share employed by sector (detailed),"K - Real estate, renting and business activities",male
Economy,SWESTOK3,"Share employed by sector, K - Real estate, renting and business activities, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men and women employed in Real estate, renting and business activities",Share employed by sector (detailed),"K - Real estate, renting and business activities",total
Economy,SWESFEL3,"Share employed by sector, L - Public administration and defence; compulsory social security, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women employed in Public administration and defence; compulsory social security,Share employed by sector (detailed),L - Public administration and defence; compulsory social security,female
Economy,SWESMAL3,"Share employed by sector, L - Public administration and defence; compulsory social security, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men employed in Public administration and defence; compulsory social security,Share employed by sector (detailed),L - Public administration and defence; compulsory social security,male
Economy,SWESTOL3,"Share employed by sector, L - Public administration and defence; compulsory social security, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women employed in Public administration and defence; compulsory social security,Share employed by sector (detailed),L - Public administration and defence; compulsory social security,total
Economy,SWESFEM3,"Share employed by sector, M - Education, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women employed in Education,Share employed by sector (detailed),M - Education,female
Economy,SWESMAM3,"Share employed by sector, M - Education, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men employed in Education,Share employed by sector (detailed),M - Education,male
Economy,SWESTOM3,"Share employed by sector, M - Education, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women employed in Education,Share employed by sector (detailed),M - Education,total
Economy,SWESFEN3,"Share employed by sector, N - Health and social work, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women employed Health and social work,Share employed by sector (detailed),N - Health and social work,female
Economy,SWESMAN3,"Share employed by sector, N - Health and social work, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men employed in Health and social work,Share employed by sector (detailed),N - Health and social work,male
Economy,SWESTON3,"Share employed by sector, N - Health and social work, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women employed Health and social work,Share employed by sector (detailed),N - Health and social work,total
Economy,SWESFEO3,"Share employed by sector, O - Other community, social and personal services activities, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of women employed in Other community, social and personal services activities",Share employed by sector (detailed),"O - Other community, social and personal services activities",female
Economy,SWESMAO3,"Share employed by sector, O - Other community, social and personal services activities, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men employed in Other community, social and personal services activities",Share employed by sector (detailed),"O - Other community, social and personal services activities",male
Economy,SWESTOO3,"Share employed by sector, O - Other community, social and personal services activities, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of men and women employed in Other community, social and personal services activities",Share employed by sector (detailed),"O - Other community, social and personal services activities",total
Economy,SWESFEP3,"Share employed by sector, P - Private households with employed persons, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women employed in Private households with employed persons,Share employed by sector (detailed),P - Private households with employed persons,female
Economy,SWESMAP3,"Share employed by sector, P - Private households with employed persons, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men employed in Private households with employed persons,Share employed by sector (detailed),P - Private households with employed persons,male
Economy,SWESTOP3,"Share employed by sector, P - Private households with employed persons, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women employed in Private households with employed persons,Share employed by sector (detailed),P - Private households with employed persons,total
Economy,SWESFEQ3,"Share employed by sector, Q - Extra-territorial organizations and bodies, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women employed in Extra-territorial organizations and bodies,Share employed by sector (detailed),Q - Extra-territorial organizations and bodies,female
Economy,SWESMAQ3,"Share employed by sector, Q - Extra-territorial organizations and bodies, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men employed in Extra-territorial organizations and bodies,Share employed by sector (detailed),Q - Extra-territorial organizations and bodies,male
Economy,SWESTOQ3,"Share employed by sector, Q - Extra-territorial organizations and bodies, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women employed in Extra-territorial organizations and bodies,Share employed by sector (detailed),Q - Extra-territorial organizations and bodies,total
Economy,SWESFEX3,"Share employed by sector, X - Not classifiable by economic activity, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of women employed in in economic activity that is 'Not classifiable',Share employed by sector (detailed),X - Not classifiable by economic activity,female
Economy,SWESMAX3,"Share employed by sector, X - Not classifiable by economic activity, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men employed in economic activity that is 'Not classifiable',Share employed by sector (detailed),X - Not classifiable by economic activity,male
Economy,SWESTOX3,"Share employed by sector, X - Not classifiable by economic activity, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of men and women employed in Not classifiable by economic activity,Share employed by sector (detailed),X - Not classifiable by economic activity,total
Economy,SWEAFEIN,"Share employed in agriculture, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females in agriculture. Employment is disaggregated into three broad sectors – agriculture, industry and services – and expresses each as a percentage of total employment.",Share employed by sector,in agriculture,female
Economy,SWEAMAIN,"Share employed in agriculture, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males in agriculture. Employment is disaggregated into three broad sectors – agriculture, industry and services – and expresses each as a percentage of total employment.",Share employed by sector,in agriculture,male
Economy,SWEATOIN,"Share employed in agriculture, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females and males in agriculture. Employment is disaggregated into three broad sectors – agriculture, industry and services – and expresses each as a percentage of total employment.",Share employed by sector,in agriculture,total
Economy,SWEIFEIN,"Share employed in industry, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females in industry. Employment is disaggregated into three broad sectors – agriculture, industry and services – and expresses each as a percentage of total employment.",Share employed by sector,in industry,female
Economy,SWEIMAIN,"Share employed in industry, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males in industry. Employment is disaggregated into three broad sectors – agriculture, industry and services – and expresses each as a percentage of total employment.",Share employed by sector,in industry,male
Economy,SWEITOIN,"Share employed in industry, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females and males in industry. Employment is disaggregated into three broad sectors – agriculture, industry and services – and expresses each as a percentage of total employment.",Share employed by sector,in industry,total
Economy,SWESFEIN,"Share employed in services, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females in services. Employment is disaggregated into three broad sectors – agriculture, industry and services – and expresses each as a percentage of total employment.",Share employed by sector,in services,female
Economy,SWESMAIN,"Share employed in services, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males in services. Employment is disaggregated into three broad sectors – agriculture, industry and services – and expresses each as a percentage of total employment.",Share employed by sector,in services,male
Economy,SWESTOIN,"Share employed in services, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females and males in services. Employment is disaggregated into three broad sectors – agriculture, industry and services – and expresses each as a percentage of total employment.",Share employed by sector,in services,total
Economy,SCFWFEIN,"Share of contributing family workers, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of female contributing family workers. Contributing family workers are those workers who hold “self-employment jobs” as own-account workers in a market-oriented establishment operated by a related person living in the same household.,Status in employment,"contributing family workers, share",female
Economy,SCFWMAIN,"Share of contributing family workers, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of male contributing family workers. Contributing family workers are those workers who hold “self-employment jobs” as own-account workers in a market-oriented establishment operated by a related person living in the same household.,Status in employment,"contributing family workers, share",male
Economy,SCFWTOIN,"Share of contributing family workers, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of female and male contributing family workers. Contributing family workers are those workers who hold “self-employment jobs” as own-account workers in a market-oriented establishment operated by a related person living in the same household.,Status in employment,"contributing family workers, share",total
Economy,SOFEFEIN,"Share of employers, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females that are employers. Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a “self-employment jobs”.",Status in employment,"Employers, share",female
Economy,SOFEMAIN,"Share of employers, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males and females that are employers. Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a “self-employment jobs”.",Status in employment,"Employers, share",male
Economy,SOFETOIN,"Share of employers, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males that are employers. Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a “self-employment jobs”.",Status in employment,"Employers, share",total
Economy,PP00FE15,"Share of labour force with pre-primary education, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females in the labour force age 15+ with education delivered in kindergarten, nursery schools or infant classes or less than one year of schooling",Labor force education level,pre-primary education,female
Economy,PP00MA15,"Share of labour force with pre-primary education, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males in the labour force age 15+ with education delivered in kindergarten, nursery schools or infant classes or less than one year of schooling",Labor force education level,pre-primary education,male
Economy,PP00TO15,"Share of labour force with pre-primary education, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females and males in the labour force age 15+ with education delivered in kindergarten, nursery schools or infant classes or less than one year of schooling",Labor force education level,pre-primary education,total
Economy,PE00FE15,"Share of labour force with primary education, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females in the labour force age 15+ who have primary or lower secondary levels of education. Includes programmes designed to give sound basic education in reading, writing and arithmetic and levels of education that often coincide with the end of compulsory education where it exists.",Labor force education level,primary education,female
Economy,PE00MA15,"Share of labour force with primary education, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males in the labour force age 15+ who have primary or lower secondary levels of education. Includes programmes designed to give sound basic education in reading, writing and arithmetic and levels of education that often coincide with the end of compulsory education where it exists.",Labor force education level,primary education,male
Economy,PE00TO15,"Share of labour force with primary education, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females and males in the labour force age 15+ who have primary or lower secondary levels of education. Includes programmes designed to give sound basic education in reading, writing and arithmetic and levels of education that often coincide with the end of compulsory education where it exists.",Labor force education level,primary education,total
Economy,SE00FE15,"Share of labour force with secondary education, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of females in the labour force age 15+ in upper secondary and post-secondary non-tertiary education programmes that are usually restricted to students who have completed the 8-9 years of basic education or that straddle the boundary between upper-secondary and post-secondary education.,Labor force education level,secondary education,female
Economy,SE00MA15,"Share of labour force with secondary education, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of males in the labour force age 15+ in upper secondary and post-secondary non-tertiary education programmes that are usually restricted to students who have completed the 8-9 years of basic education or that straddle the boundary between upper-secondary and post-secondary education.,Labor force education level,secondary education,male
Economy,SE00TO15,"Share of labour force with secondary education, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of females and males in the labour force age 15+ in upper secondary and post-secondary non-tertiary education programmes that are usually restricted to students who have completed the 8-9 years of basic education or that straddle the boundary between upper-secondary and post-secondary education.,Labor force education level,secondary education,total
Economy,TE00FE15,"Share of labour force with tertiary education, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of females in the labour force age 15+ in tertiary education that either leads to a first university degree or an equivalent award and programmes leading to an advanced research qualification.,Labor force education level,tertiary education,female
Economy,TE00MA15,"Share of labour force with tertiary education, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of males in the labour force age 15+ in tertiary education that either leads to a first university degree or an equivalent award and programmes leading to an advanced research qualification.,Labor force education level,tertiary education,male
Economy,TE00TO15,"Share of labour force with tertiary education, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of females and males in the labour force age 15+ in tertiary education that either leads to a first university degree or an equivalent award and programmes leading to an advanced research qualification.,Labor force education level,tertiary education,total
Economy,SOAWFEIN,"Share of own-account workers, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females that are own-account workers. Own-account workers are those workers who, working on their own account or with one or more partners, hold the type of jobs defined as a “self-employment jobs”, and have not engaged on a continuous basis any employees to work for them.",Status in employment,"Own-account workers, share",female
Economy,SOAWMAIN,"Share of own-account workers, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males that are own-account workers. Own-account workers are those workers who, working on their own account or with one or more partners, hold the type of jobs defined as a “self-employment jobs”, and have not engaged on a continuous basis any employees to work for them.",Status in employment,"Own-account workers, share",male
Economy,SOAWTOIN,"Share of own-account workers, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males and females that are own-account workers. Own-account workers are those workers who, working on their own account or with one or more partners, hold the type of jobs defined as a “self-employment jobs”, and have not engaged on a continuous basis any employees to work for them.",Status in employment,"Own-account workers, share",total
Economy,SOSEFEIN,"Share of self-employed, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of self-employed females.,Status in employment,"Self-employed, share",female
Economy,SOSEMAIN,"Share of self-employed, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of self-employed males.,Status in employment,"Self-employed, share",male
Economy,SOUFFEIN,"Share of unemployed, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of unemployed females. Unemployment refers to a person that does not have a job and is actively looking and available for work.,Status in employment,"unemployed, share",female
Economy,SOUFMAIN,"Share of unemployed, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of unemployed males. Unemployment refers to a person that does not have a job and is actively looking and available for work.,Status in employment,"unemployed, share",male
Economy,SOUFTOIN,"Share of unemployed, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of unemployed females and males. Unemployment refers to a person that does not have a job and is actively looking and available for work.,Status in employment,"unemployed, share",total
Economy,PU00FE15,"Share of unemployment with pre-primary education, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females unemployed age 15+ with education delivered in kindergarten, nursery schools or infant classes or less than one year of schooling",Unemployment by education level,pre-primary education,female
Economy,PU00MA15,"Share of unemployment with pre-primary education, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males unemployed age 15+ with education delivered in kindergarten, nursery schools or infant classes or less than one year of schooling",Unemployment by education level,pre-primary education,male
Economy,PU00TO15,"Share of unemployment with pre-primary education, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females and males unemployed age 15+ with education delivered in kindergarten, nursery schools or infant classes or less than one year of schooling",Unemployment by education level,pre-primary education,total
Economy,UP00FE15,"Share of unemployment with primary education, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females unemployed age 15+ who have primary or lower secondary levels of education. Includes programmes designed to give sound basic education in reading, writing and arithmetic and levels of education that often coincide with the end of compulsory education where it exists.",Unemployment by education level,primary education,female
Economy,UP00MA15,"Share of unemployment with primary education, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of males unemployed age 15+ who have primary or lower secondary levels of education. Includes programmes designed to give sound basic education in reading, writing and arithmetic and levels of education that often coincide with the end of compulsory education where it exists.",Unemployment by education level,primary education,male
Economy,UP00TO15,"Share of unemployment with primary education, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"Share of females and males unemployed age 15+ who have primary or lower secondary levels of education. Includes programmes designed to give sound basic education in reading, writing and arithmetic and levels of education that often coincide with the end of compulsory education where it exists.",Unemployment by education level,primary education,total
Economy,US00FE15,"Share of unemployment with secondary education, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of females unemployed age 15+ in upper secondary and post-secondary non-tertiary education programmes that are usually restricted to students who have completed the 8-9 years of basic education or that straddle the boundary between upper-secondary and post-secondary education.,Unemployment by education level,secondary education,female
Economy,US00MA15,"Share of unemployment with secondary education, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of males unemployed age 15+ in upper secondary and post-secondary non-tertiary education programmes that are usually restricted to students who have completed the 8-9 years of basic education or that straddle the boundary between upper-secondary and post-secondary education.,Unemployment by education level,secondary education,male
Economy,US00TO15,"Share of unemployment with secondary education, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of females and males unemployed age 15+ in upper secondary and post-secondary non-tertiary education programmes that are usually restricted to students who have completed the 8-9 years of basic education or that straddle the boundary between upper-secondary and post-secondary education.,Unemployment by education level,secondary education,total
Economy,UT00FE15,"Share of unemployment with tertiary education, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of females unemployed age 15+ in tertiary education that either leads to a first university degree or an equivalent award and programmes leading to an advanced research qualification.,Unemployment by education level,tertiary education,female
Economy,UT00MA15,"Share of unemployment with tertiary education, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of males unemployed age 15+ in tertiary education that either leads to a first university degree or an equivalent award and programmes leading to an advanced research qualification.,Unemployment by education level,tertiary education,male
Economy,UT00TO15,"Share of unemployment with tertiary education, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of females and males unemployed age 15+ in tertiary education that either leads to a first university degree or an equivalent award and programmes leading to an advanced research qualification.,Unemployment by education level,tertiary education,total
Economy,SWSEFEIN,"Share of wage & salaried employees, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of females that are wage & salaried employees.,Wage & salaried employees,share,female
Economy,SWSEMAIN,"Share of wage & salaried employees, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of males that are wage & salaried employees.,Wage & salaried employees,share,male
Economy,SWSETOIN,"Share of wage & salaried employees, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of females and males that are wage & salaried employees.,Wage & salaried employees,share,total
Economy,LTURFETO,"Total long-term unemployment rate, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Long-term unemployment rate for females. Long-term unemployment is all unemployed persons with continuous periods of unemployment extending for one year or longer; it is expressed as a percentage of the overall labour force to create the long-term unemployment rate.,Unemployment rate,"long-term, total",female
Economy,LTURMATO,"Total long-term unemployment rate, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Long-term unemployment rate for males. Long-term unemployment is all unemployed persons with continuous periods of unemployment extending for one year or longer; it is expressed as a percentage of the overall labour force to create the long-term unemployment rate.,Unemployment rate,"long-term, total",male
Economy,LTURTOTO,"Total long-term unemployment rate, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Long-term unemployment rate for males and females. Long-term unemployment is all unemployed persons with continuous periods of unemployment extending for one year or longer; it is expressed as a percentage of the overall labour force to create the long-term unemployment rate.,Unemployment rate,"long-term, total",total
Economy,SOSETOIN,Total self-employed workers,Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Share of self-employed females and males.,Status in employment,"Self-employed, total",
Economy,TRUEFETO,"Total time-related underemployment rate, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Female time-related underemployment as a percentage of the labour force,Underemployment rate (time-related),total,female
Economy,TRUEMATO,"Total time-related underemployment rate, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Male time-related underemployment as a percentage of the labour force,Underemployment rate (time-related),total,male
Economy,TRUETOTO,"Total time-related underemployment rate, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Female and male total time-related underemployment as a percentage of the labour force,Underemployment rate (time-related),total,total
Economy,LOUFFEIN,"Unemployed, Female",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Number of unemployed females. Unemployment refers to a person that does not have a job and is actively looking and available for work.,Status in employment,"unemployed, number",female
Economy,LOUFMAIN,"Unemployed, Male",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Number of unemployed males. Unemployment refers to a person that does not have a job and is actively looking and available for work.,Status in employment,"unemployed, number",male
Economy,LOUFTOIN,"Unemployed, Total",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Number of unemployed females and males. Unemployment refers to a person that does not have a job and is actively looking and available for work.,Status in employment,"unemployed, number",total
Economy,LWSEFEIN,"Wage & salaried employees, Female",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),The number of females that are wage & salaried employees,Wage & salaried employees,number,female
Economy,LWSEMAIN,"Wage & salaried employees, Male",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),The number of males that are wage & salaried employees,Wage & salaried employees,number,male
Economy,LWSETOIN,"Wage & salaried employees, Total",Thousands,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),The number of total males and females that are wage & salaried employees,Wage & salaried employees,number,total
Economy,TRUEMAYO,"Young men time-related underemployment rate, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Male youth time-related underemployment as a percentage of the labour force,Underemployment rate (time-related),young men and women,male
Economy,TRUEFEYO,"Young women time-related underemployment rate, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Female youth time-related underemployment as a percentage of the labour force,Underemployment rate (time-related),young men and women,female
Economy,EECYFEDM,"Youth employment by economic class, developing middle class, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of developing middle class (between US$4 and US$13, PPP) female youth in total employment",Youth employment by economic class,developing middle class,female
Economy,EECYMADM,"Youth employment by economic class, developing middle class, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of developing middle class (between US$4 and US$13, PPP) male youth in total employment",Youth employment by economic class,developing middle class,male
Economy,EECYTODM,"Youth employment by economic class, developing middle class, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of developing middle class (between US$4 and US$13, PPP) male and female youth in total employment",Youth employment by economic class,developing middle class,total
Economy,EECYFEEP,"Youth employment by economic class, extremely poor, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of extremely poor (<US$1.25, PPP) female youths in total employment",Youth employment by economic class,extremely poor,female
Economy,EECYMAEP,"Youth employment by economic class, extremely poor, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of extremely poor (<US$1.25, PPP) male youths in total employment",Youth employment by economic class,extremely poor,male
Economy,EECYTOEP,"Youth employment by economic class, extremely poor, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of extremely poor (<US$1.25, PPP) male and female youths in total employment",Youth employment by economic class,extremely poor,total
Economy,EECYFEMP,"Youth employment by economic class, moderately poor, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of moderately poor (between US$1.25 and US$2, PPP) female youths in total employment",Youth employment by economic class,moderately poor,female
Economy,EECYMAMP,"Youth employment by economic class, moderately poor, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of moderately poor (between US$1.25 and US$2, PPP) male youths in total employment",Youth employment by economic class,moderately poor,male
Economy,EECYTOMP,"Youth employment by economic class, moderately poor, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of moderately poor (between US$1.25 and US$2, PPP) male and female youths in total employment",Youth employment by economic class,moderately poor,total
Economy,EECYFENP,"Youth employment by economic class, near poor, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of near poor (between US$2 and US$4, PPP) female youth in total employment",Youth employment by economic class,near poor,female
Economy,EECYMANP,"Youth employment by economic class, near poor, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of near poor (between US$2 and US$4, PPP) male youth in total employment",Youth employment by economic class,near poor,male
Economy,EECYTONP,"Youth employment by economic class, near poor, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),"The share of near poor (between US$2 and US$4, PPP) male and female youth in total employment",Youth employment by economic class,near poor,total
Economy,LTURFEYO,"Youth long-term unemployment rate, Female",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Long-term unemployment rate for youth females (ages 15-24). Long-term unemployment is all unemployed persons with continuous periods of unemployment extending for one year or longer; it is expressed as a percentage of the overall labour force to create the long-term unemployment rate.,Unemployment rate,"Long-term, youth",female
Economy,LTURMAYO,"Youth long-term unemployment rate, Male",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Long-term unemployment rate for youth males (ages 15-24). Long-term unemployment is all unemployed persons with continuous periods of unemployment extending for one year or longer; it is expressed as a percentage of the overall labour force to create the long-term unemployment rate.,Unemployment rate,"Long-term, youth",male
Economy,LTURTOYO,"Youth long-term unemployment rate, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Long-term unemployment rate for youth males and females (ages 15-24). Long-term unemployment is all unemployed persons with continuous periods of unemployment extending for one year or longer; it is expressed as a percentage of the overall labour force to create the long-term unemployment rate.,Unemployment rate,"Long-term, youth",total
Economy,TRUETOYO,"Youth time-related underemployment rate, Total",%,International Labour Organization (ILO) Key Indicators of the Labour Market (KILM),Female and male youth total time-related underemployment as a percentage of the labour force,Underemployment rate (time-related),youth,total
Economy,GEPAYGAP,Gender monthly wages gap,Ratio,International Labour Organization (ILO); Economist Intelligence Unit (EIU) calculation,Monthly wages of women divided by the monthly wages of men,Gender wage gap,monthly wages,
Economy,BLIXEWHF,"BLI Employees working very long hours, female",%,OECD Better Life Index,This indicator measures the proportion of dependent employed whose usual hours of work per week are 50 hours or more.,BLI Employees working very long hours,,female
Economy,BLIXEWHM,"BLI Employees working very long hours, male",%,OECD Better Life Index,This indicator measures the proportion of dependent employed whose usual hours of work per week are 50 hours or more.,BLI Employees working very long hours,,male
Economy,BLIXTLPF,"BLI Time devoted to leisure and personal care, female",Hours/day,OECD Better Life Index,"This indicator measures the amount of minutes (or hours) per day that, on average, full-time employed people spend on leisure and on personal care activities.",BLI Time devoted to leisure and personal care,,female
Economy,BLIXTLPM,"BLI Time devoted to leisure and personal care, male",Hours/day,OECD Better Life Index,"This indicator measures the amount of minutes (or hours) per day that, on average, full-time employed people spend on leisure and on personal care activities.",BLI Time devoted to leisure and personal care,,male
Economy,MUWFOECD,"Average minutes of unpaid work per day, female",Minutes,"OECD, Closing the Gender Gap: Act Now","The average minutes spent per day on all of the following activities: routine housework, shopping (grocery, financial services, etc.), care for household members, care for non household members, volunteering, travel related to household activities, and ""other"" unpaid activities.",Minutes of unpaid work per day,,female
Economy,MUWMOECD,"Average minutes of unpaid work per day, male",Minutes,"OECD, Closing the Gender Gap: Act Now","The average minutes spent per day on all of the following activities: routine housework, shopping (grocery, financial services, etc.), care for household members, care for non household members, volunteering, travel related to household activities, and ""other"" unpaid activities.",Minutes of unpaid work per day,,male
Economy,GWGPOECD,Gender wage gap,%,"OECD, Closing the Gender Gap: Act Now",The gender wage gap is unadjusted and calculated as the difference between median earnings of men and women relative to median earnings of men.,Gender wage gap,percentage,
Economy,SFVEFEIN,"Share in vulnerable employment, Female",%,World Bank,The percentage of females out of total employed who are in vulnerable employment.,Status in employment,"vulnerable employment, share",female
Economy,SFVEMAIN,"Share in vulnerable employment, Male",%,World Bank,The percentage of males out of total employed who are in vulnerable employment.,Status in employment,"vulnerable employment, share",male
Economy,SFVETOIN,"Share in vulnerable employment, Total",%,World Bank,The percentage of total females and males out of total employed who are in vulnerable employment.,Status in employment,"vulnerable employment, share",total
Economy,FFPOFEAF,Percentage of firms with female participation in ownership,%,World Bank Enterprise Survey,Percentage of firms with females among the owners,Firms with female leadership,ownership participation,
Economy,FFTMFEAF,Percentage of firms with female top manager,%,World Bank Enterprise Survey,Percentage of firms with females as the top manager,Firms with female leadership,top manager,
Economy,AGHOFFAO,"Agricultural holders, Female",%,World Bank World DataBank Gender Statistics,Female share of agricultural holders as a share of total agricultural holders. An agricultural holder is defined as the person or group of persons who makes the major decisions regarding resource use and exercises management control over the agricultural holding operation.,Agricultural employment,holders,female
Economy,NOFMHHGP,"Female headed households,",%,World Bank World DataBank Gender Statistics,Female headed households shows the percentage of households with a female head.,Female headed households,,
Economy,HRFEDWGP,"Average hours spent on unpaid domestic work , Female",Hours,World Bank World DataBank Gender Statistics; Compiled from UNECE,"Time spent in domestic work, female refers to average hours per day that women ages 20-74 spent on housework, child and adult care, gardening and pet care, construction and repairs, shopping and services, and household management.","Hours of unpaid domestic work ",,female
Economy,HRMADWGP,"Average hours spent on unpaid domestic work , Male",Hours,World Bank World DataBank Gender Statistics; Compiled from UNECE,"Time spent in domestic work, male refers to average hours per day that men ages 20-74 spent on housework, child and adult care, gardening and pet care, construction and repairs, shopping and services, and household management","Hours of unpaid domestic work ",,male
Economy,MMLMLWBL,What is the mandatory minimum length of paid maternity leave (in calendar days)?,Days,"World Bank, Women Business and the Law",What is the mandatory minimum length of paid maternity leave (in calendar days)?,Paid parental leave,Mandatory minimum length of leave (calendar days),female
Economy,MMLPLWBL,What is the mandatory minimum length of paid paternity leave (in calendar days)?,Days,"World Bank, Women Business and the Law",What is the mandatory minimum length of paid paternity leave (in calendar days)?,Paid parental leave,Mandatory minimum length of leave (calendar days),male
Economy,PWPMLWBL,What percentage of wages are paid during maternity leave?,%,"World Bank, Women Business and the Law",What percentage of wages are paid during maternity leave?,Paid parental leave,% of wages paid during leave,female
Economy,PWPPLWBL,What percentage of wages are paid during paternity leave?,%,"World Bank, Women Business and the Law",What percentage of wages are paid during paternity leave?,Paid parental leave,% of wages paid during leave,male
Economy,GENGAPIE,"Gender gap in earnings, WDR",Ratio,"World Development Report, 2012",Ratio of female to male earnings,Gender wage gap,earnings ratio,
Leadership,CBBOMFEM,"Seats held by women in central banks, % of total",%,Central Bank Directory; country-specific central bank websites; United Nations Economic Commission for Europe (UNECE),"Seats held by women members in Central Banks, expressed as a percentage of all occupied seats",Seats held by women in central banks,,
Leadership,WOMPLRGH,Women’s political rights (scored 0 to 3),Score,CIRI Human Rights Data Project,"Scoring: (0) None of women’s political rights are guaranteed by law. There are laws that completely restrict the participation of women in the political process. (1) Political equality is guaranteed by law. However, there are significant limitations in practice. Women hold less than five percent of seats in the national legislature and in other high-ranking government positions. (2) Political equality is guaranteed by law. Women hold more than five percent but less than thirty percent of seats in the national legislature and/or in other high-ranking government positions. (3) Political equality is guaranteed by law and in practice. Women hold more than thirty percent of seats in the national legislature and/or in other high-ranking government positions.",Women’s political rights,,
Leadership,DOPCPEIU,Depth of Political and civic participation,Score,Economist Intelligence Unit,"An indicator developed by the Economist Intelligence Unit, composed of the following components: • Female representation in national parliaments, % (average, 1997-2013) • Voter turnout, parliamentary (average, 1995-2013) • Share of ministerial positions (average) • Has the country ever had a -female central bank governor? • Has the country ever had a female head of government? • Was there a woman justice on the Constitutional Court in 2013? • Percentage of female justices on the Constitutional Court (2013) • Year women obtained the right to stand for election • Percentage of females that are somewhat or very interested in politics (average)",Depth of Political and civic participation,,
Leadership,WOMJUDIC,"Women in the judiciary, % of total",%,European Commission; United Nations Economic Commission for Women (UNECE); United Nations Economic Commission for Latin America and the Caribbean (UNECLAC),"The UNECE’s definition includes chief justices, judges and magistrates, while UNECLAC’s definition captures women in the highest court or Supreme Court.",Women in the judiciary,,
Leadership,WOREPLMC,"Women's representation on the local/municipal councils, % of total",%,European Commission; United Nations Economic Commission for Women (UNECE); United Nations Economic Commission for Latin America and the Caribbean (UNECLAC),"The definition will vary by source: for example, the UNECE’s definition includes women members of municipal councils and other local area governing bodies, while UNECLAC’s definition captures women elected to city councils. The EIU checked the other UN regional offices’ statistical websites, but they did not have any data for women in the judiciary.",Female representation in government,local/municipal councils,
Leadership,EUPVTOUT,"Voter turnout, EU Parliament",%,International Institute for Democracy and Electoral Assistance (IDEA),Registered voter turnout for EU parliament elections,Voter turnout,EU Parliament,
Leadership,PARVTOUT,"Voter turnout, Parliamentary",%,International Institute for Democracy and Electoral Assistance (IDEA),Registered voter turnout for parliamentary elections,Voter turnout,Parliamentary,
Leadership,PREVTOUT,"Voter turnout, Presidential",%,International Institute for Democracy and Electoral Assistance (IDEA),Registered voter turnout for presidential elections,Voter turnout,Presidential,
Leadership,MINPOSFE,Women’s share of government ministerial positions,%,United Nations Statistics Division via the Inter-Parliamentary Union,The proportion of women in ministerial positions out of the total of men and women in ministerial positions. A man or woman at the head of two or more ministries or holding several minsiterial positions is counted only once. The total includes Deputy Prime Ministers and Ministers. Prime Ministers/Heads of Government are also included when they hold ministerial portfolios. Vice-Presidents and heads of governmental or public agencies have not been included.,Female representation in government,government ministerial positions,
Leadership,FEREPNTP,"Female representation in national parliaments (lower chamber), % of parliament",%,United Nations Statistics Division via the Inter-Parliamentary Union; Millennium Development Goals Indicators,"Number of seats held by women members in single or lower chambers of national parliaments, expressed as a percentage of all occupied seats",Female representation in government,national parliaments (lower chamber),
Leadership,WOMJUSCC,Women justices on the Constitutional Court,Number,"World Bank, Women Business and the Law",Number of female justices on the Constitutional Court.,Women justices on the Constitutional Court,,
Leadership,ETPWVLNV,"Never vote at local elections, % female",%,World Values Survey,Percentage of females that never vote at local elections.,Vote at elections,"local, never vote",female
Leadership,ETPMNTNV,"Never vote at local elections, % male",%,World Values Survey,Percentage of males that never vote at local elections.,Vote at elections,"local, never vote",male
Leadership,ECWNVVNT,"Never vote at national elections, % female",%,World Values Survey,Percentage of females that never vote at national elections.,Vote at elections,"national, never vote",female
Leadership,EPMNVNAT,"Never vote at national elections, % male",%,World Values Survey,Percentage of males that never vote at national elections.,Vote at elections,"national, never vote",male
Leadership,IHHEWMVI,"Percentage of respondents believing that honest elections are either rather important or very important, % female",%,World Values Survey,Percentage of females that see it as rather or very important to have honest elections.,Political attitudes,believe honest elections are rather or very important,female
Leadership,IHEFLMRV,"Percentage of respondents believing that honest elections are either rather important or very important, % male",%,World Values Survey,Percentage of males that see it as rather or very important to have honest elections.,Political attitudes,believe honest elections are rather or very important,male
Leadership,INTPOLFV,"Percentage of respondents who are somewhat or very interested in politics, % female",%,World Values Survey,Percentage of females that are somewhat or very interested in politics.,Political attitudes,somewhat or very interested in politics,female
Leadership,INTPOLMV,"Percentage of respondents who are somewhat or very interested in politics, % male",%,World Values Survey,Percentage of males that are somewhat or very interested in politics.,Political attitudes,somewhat or very interested in politics,male
Leadership,OTWMBPWW,"Percentage of respondents who disagree or strongly disagree that men make better political leaders than women do, % female",%,World Values Survey,Percentage of females who disagree or strongly disagree that men make better political leaders than women.,Political attitudes,disagree or strongly disagree that men make better political leaders than women,female
Leadership,OTWMBPWM,"Percentage of respondents who disagree or strongly disagree that men make better political leaders than women do, % male",%,World Values Survey,Percentage of males who disagree or strongly disagree that men make better political leaders than women.,Political attitudes,disagree or strongly disagree that men make better political leaders than women,male
Leadership,ETPWOAUV,"Vote (usually or always) at local elections, % female",%,World Values Survey,Percentage of females that usually or always vote at local elections.,Vote at elections,"local, usually or always vote",female
Leadership,ETPMAUVL,"Vote (usually or always) at local elections, % male",%,World Values Survey,Percentage of males that usually or always vote at local elections.,Vote at elections,"local, usually or always vote",male
Leadership,ETCWAUVN,"Vote (usually or always) at national elections, % female",%,World Values Survey,Percentage of females that usually or always vote at national elections.,Vote at elections,"national, usually or always vote",female
Leadership,ECPMAUVN,"Vote (usually or always) at national elections, % male",%,World Values Survey,Percentage of males that usually or always vote at national elections.,Vote at elections,"national, usually or always vote",male
Security,HJBWSAWH,Women who believe a husband is justified in beating his wife when she argues with him (%),%,Compiled by World Bank from DHS Household Surveys,Survey question; Percent of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him.,Believe wife beating is justified when she argues,all women,female
Security,HJBWSGOW,Women who believe a husband is justified in beating his wife when she goes out without telling him (%),%,Compiled by World Bank from DHS Household Surveys,Survey question; Percent of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him.,Believe wife beating is justified,when she goes out without telling him,female
Security,BEATREHQ,"Women who believe a husband is justified in beating his wife when she argues with him (%), highest income quintile",%,DHS Household Surveys,"Survey question; Percent of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him, by household wealth index",Believe wife beating is justified when she argues,highest income quintile,female
Security,BEATRELQ,"Women who believe a husband is justified in beating his wife when she argues with him (%), lowest income quintile",%,DHS Household Surveys,"Survey question; Percent of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him, by household wealth index",Believe wife beating is justified when she argues,lowest income quintile,female
Security,BEATRENE,"Women who believe a husband is justified in beating his wife when she argues with him (%), no education",%,DHS Household Surveys,"Survey question; Percent of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him, by highest educational level of respondent",Believe wife beating is justified when she argues,no education,female
Security,BEATREPE,"Women who believe a husband is justified in beating his wife when she argues with him (%), primary education",%,DHS Household Surveys,"Survey question; Percent of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him, by highest educational level of respondent",Believe wife beating is justified when she argues,primary education,female
Security,BEATRESE,"Women who believe a husband is justified in beating his wife when she argues with him (%), secondary or higher",%,DHS Household Surveys,"Survey question; Percent of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him, by highest educational level of respondent",Believe wife beating is justified when she argues,secondary or higher,female
Security,EVBPAASF,"Victims of any form of economic violence by a partner since the age of 15, % women",%,"FRA gender-based violence against women survey dataset, 2012","This includes the partner preventing her from making independent decisions on family finances, or forbidding her to work outside the home.",Victims violence by a partner since the age of 15,economic,female
Security,AFPYVBAF,"Victims of any form of pyschological violence by a partner since the age of 15, % women",%,"FRA gender-based violence against women survey dataset, 2012",This includes behaviour such as belittling or humiliating the respondent in public or private; forbidding her to leave the house or locking her up;making her watch pornographic material against her wishes; scaring or intimidating her on purpose; and threatening her with violence or threatening to hurt someone else the respondent cares about.,Victims violence by a partner since the age of 15,psychological,female
Security,SIGIVAWC,"VAW laws combined SIGI score on domestic violence, sexual assault or rape, and sexual harassment - 2009",Score,OECD SIGI Index - The Social Institutions and Gender Index (SIGI) 2009,"This variable quantifies information on the existence of laws against (i) domestic violence, (ii) sexual assault or rape, and (iii) sexual harassment as follows: 0 if specific legislation is in place, 0.25 if legislation is in place but of general nature, 0.5 if specific legislation is being planned, drafted or reviewed, and 0.75 if this planned legislation is of general nature; 1 captures the absence of any legislation concerning violence against women. Data is averaged across the three legal categories.",VAW laws SIGI score,combined,
Security,SIGIVAWD,VAW laws on domestic violence SIGI score,Score,OECD SIGI Index - The Social Institutions and Gender Index (SIGI) 2012,"0: There is specific legislation in place. 0.25: There is specific legislation in place, but there are widespread reported problems with implementation. 0.5: There is general legislation in place, or specific legislation is inadequate (e.g. rape laws do not criminalise marital rape). 0.75: Legislation is being planned, drafted or reviewed or existing legislation is highly inadequate. 1: No legislation.",VAW laws SIGI score,domestic violence,
Security,SIGIVAWR,VAW laws on rape SIGI score,Score,OECD SIGI Index - The Social Institutions and Gender Index (SIGI) 2012,"0: There is specific legislation in place. 0.25: There is specific legislation in place, but there are widespread reported problems with implementation. 0.5: There is general legislation in place, or specific legislation is inadequate (e.g. rape laws do not criminalise marital rape). 0.75: Legislation is being planned, drafted or reviewed or existing legislation is highly inadequate. 1: No legislation.",VAW laws SIGI score,rape,
Security,SIGIVAWH,VAW laws on sexual harassment SIGI score,Score,OECD SIGI Index - The Social Institutions and Gender Index (SIGI) 2012,"0: There is specific legislation in place. 0.25: There is specific legislation in place, but there are widespread reported problems with implementation. 0.5: There is general legislation in place, or specific legislation is inadequate (e.g. rape laws do not criminalise marital rape). 0.75: Legislation is being planned, drafted or reviewed or existing legislation is highly inadequate. 1: No legislation.",VAW laws SIGI score,sexual harassment,
Security,ATTWBYNG,"Believe wife beating is justified, % women, ages 15-19",%,"Population Reference Bureau, The World's Youth 2013","Survey question; Percent of young women ages 15 to 19 who believe a husband is justified in beating his wife under certain circumstances, such as neglecting the children, refusing sexual intercourse, leaving home without telling her husband, arguing with her husband, or burning the food.",Believe wife beating is justified,Age 15-19,female
Security,ATTWBYWA,"Believe wife beating is justified, % women, ages 20-24",%,"Population Reference Bureau, The World's Youth 2013","Survey question; Percent of young women ages 20 to 24 who believe a husband is justified in beating his wife under certain circumstances, such as neglecting the children, refusing sexual intercourse, leaving home withou telling her husband, arguing with her husband, or burning the food.",Believe wife beating is justified,Age 20-24,female
Security,ADPVFECP,"Experienced abuse during pregnancy, % women",%,"UN Women - from DHS, WHO Multi-country study, International Violence Against Women Surveys",% of women who experienced abuse during pregnancy,Experienced abuse during pregnancy,,female
Security,FFSXFECP,"Forced first sex, % women",%,"UN Women - from DHS, WHO Multi-country study, International Violence Against Women Surveys",% of women who were forced the first time they had sex,Forced first sex,,
Security,IPNPPHCP,"Intimate partner and/or non-partner violence, physical, % women who experienced in a lifetime",%,"UN Women - from DHS, WHO Multi-country study, International Violence Against Women Surveys",Country-specific data on % of women who are victims of intimate partner and/or non-partner physicalviolence in a lifetime.,Intimate partner and/or non-partner violence,physical (lifetime),female
Security,IPNPPTCP,"Intimate partner and/or non-partner violence, physical, % women who experienced in the last 12 months",%,"UN Women - from DHS, WHO Multi-country study, International Violence Against Women Surveys",Country-specific data on % of women who are victims of intimate partner and/or non-partner physical violence in the last 12 months.,Intimate partner and/or non-partner violence,physical (last 12 months),female
Security,IPNPSVCP,"Intimate partner and/or non-partner violence, sexual, % women who experienced in a lifetime",%,"UN Women - from DHS, WHO Multi-country study, International Violence Against Women Surveys",Country-specific data on % of women who are victims of intimate partner and/or non-partner sexual violence in a lifetime.,Intimate partner and/or non-partner violence,sexual (lifetime),female
Security,IPNPTWCP,"Intimate partner and/or non-partner violence, sexual, % women who experienced in the last 12 months",%,"UN Women - from DHS, WHO Multi-country study, International Violence Against Women Surveys",Country-specific data on % of women who are victims of intimate partner and/or non-partner sexual violence in the last 12 months.,Intimate partner and/or non-partner violence,sexual (last 12 months),female
Security,IPVPFECP,"Intimate partner violence, physical, % women who experienced in a lifetime",%,"UN Women - from DHS, WHO Multi-country study, International Violence Against Women Surveys",Country-specific data on % of women who are victims of intimate partner physical violence in a lifetime.,Intimate partner violence,physical (lifetime),female
Security,IPVPTWCP,"Intimate partner violence, physical, % women who experienced in the last 12 months",%,"UN Women - from DHS, WHO Multi-country study, International Violence Against Women Surveys",Country-specific data on % of women who are victims of intimate partner physicalviolence in the last 12 months.,Intimate partner violence,physical (last 12 months),female
Security,IPVSFECP,"Intimate partner violence, sexual, % women who experienced in a lifetime",%,"UN Women - from DHS, WHO Multi-country study, International Violence Against Women Surveys",Country-specific data on % of women who are victims of intimate partner sexual violence in a lifetime.,Intimate partner violence,sexual (lifetime),female
Security,IPVSTWCP,"Intimate partner violence, sexual, % women who experienced in the last 12 months",%,"UN Women - from DHS, WHO Multi-country study, International Violence Against Women Surveys",Country-specific data on % of women who are victims of intimate partner and/or non-partner physical and/or sexual violence in a lifetime.,Intimate partner violence,sexual (last 12 months),female
Security,FHVTINTP,"Intentional homicide victims killed by intimate partners or family members, % female",% Of Homicide Victims,United Nations Office on Drugs and Crime (UNODC),"Intentional homicide victims killed by intimate partners or family members, females, as a percentage of total homicide victims, by country/territory. Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person.",Intentional homicide victims,Female victims killed by intimate partners or family members,female
Security,PCTFIHVT,"Intentional homicide victims, % female",%,United Nations Office on Drugs and Crime (UNODC),Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person. The % of victims who were female.,Intentional homicide victims,"female victims, all",female
Security,RAPEPERS,"Persons convicted for rape per 100,000","Number Per 100,000",United Nations Office on Drugs and Crime (UNODC),"Persons convicted for rape per 100,000",Rape,convictions,
Security,RANLPRTL,"Rape at the national level, number of police-recorded offences per 100,000","Number Per 100,000",UNODC - United Nations Surveys on Crime Trends and the Operations of Criminal Justice Systems (CTS),"“Rape” means sexual intercourse without valid consent. (UN-CTS M3.4) - In the UN-CTS data, the rape rate is calculated per 100,000 population. Therefore the rates for the female population, being the principal victims, are in practice twice as high as those presented.",Rape,police-recorded offenses,
Health,TEENFEMO,% women ages 15-19 who have children or are pregnant,%,Compiled by World Bank; Source Demographic and Health Surveys by ICF International.,Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant.,Adolescents who are pregnant or have children,"all women ages 15-19, % ",female
Health,TEPREGHQ,"% women ages 15-19 who have children or are pregnant, highest income quintile",%,DHS Household Surveys,"Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant, by household wealth index",Adolescents who are pregnant or have children,"highest income quintile, women ages 15-19, %",female
Health,TEPREGLQ,"% women ages 15-19 who have children or are pregnant, lowest income quintile",%,DHS Household Surveys,"Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant, by household wealth index",Adolescents who are pregnant or have children,"lowest income quintile, women ages 15-19, %",female
Health,TEPREGNE,"% women ages 15-19 who have children or are pregnant, no education",%,DHS Household Surveys,"Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant, by highest educational level of respondent",Adolescents who are pregnant or have children,"no education, women ages 15-19, %",female
Health,TEPREGPE,"% women ages 15-19 who have children or are pregnant, primary education",%,DHS Household Surveys,"Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant, by highest educational level of respondent",Adolescents who are pregnant or have children,"primary education, women ages 15-19, %",female
Health,TEPREGSE,"% women ages 15-19 who have children or are pregnant, secondary education or higher",%,DHS Household Surveys,"Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant, by highest educational level of respondent",Adolescents who are pregnant or have children,"secondary education or higher, women ages 15-19, %",female
Health,FEMAGEHQ,"Median age at first marriage, female, highest income quintile",Years of age,DHS Household Surveys,"The median age at first marriage is the median age of women at first marriage if subject throughout their lives to the age-specific marriage rates of first marriages only in a given year (ages 25-49), by household wealth index",Median age at first marriage,highest income quintile,female
Health,FEMAGELQ,"Median age at first marriage, female, lowest income quintile",Years of age,DHS Household Surveys,"The median age at first marriage is the median age of women at first marriage if subject throughout their lives to the age-specific marriage rates of first marriages only in a given year (ages 25-49), by household wealth index",Median age at first marriage,lowest income quintile,female
Health,FEMAGENE,"Median age at first marriage, female, no education",Years of age,DHS Household Surveys,"The median age at first marriage is the median age of women at first marriage if subject throughout their lives to the age-specific marriage rates of first marriages only in a given year (ages 25-49), by highest educational level of respondent",Median age at first marriage,no education,female
Health,FEMAGEPE,"Median age at first marriage, female, primary education",Years of age,DHS Household Surveys,"The median age at first marriage is the median age of women at first marriage if subject throughout their lives to the age-specific marriage rates of first marriages only in a given year (ages 25-49), by highest educational level of respondent",Median age at first marriage,primary education,female
Health,FEMAGESE,"Median age at first marriage, female, secondary or higher",Years of age,DHS Household Surveys,"The median age at first marriage is the median age of women at first marriage if subject throughout their lives to the age-specific marriage rates of first marriages only in a given year (ages 25-49), by highest educational level of respondent",Median age at first marriage,secondary or higher,female
Health,NOBFISSB,Number of obstetric fistula surgeries,Number,"Global Fistula Map, DirectRelief, Fistula Foundation, UNFPA",Number of obstetric fistula surgeries,Number of obstetric fistula surgeries,,
Health,FGMCHIQU,"FGMC prevalence among girls (%), highest income quintile",%,Multiple Indicator Cluster Survey (MICS),"Proportion of women aged 15-49 years that report undergoing an extreme form of female genital mutilation/cutting (such as infibulation), by household wealth index",FGM/C prevalence among girls and women,girls in highest income quintile,
Health,FGMCLOQU,"FGMC prevalence among girls (%), lowest income quintile",%,Multiple Indicator Cluster Survey (MICS),"Proportion of women aged 15-49 years that report undergoing an extreme form of female genital mutilation/cutting (such as infibulation), by household wealth index",FGM/C prevalence among girls and women,girls in lowest income quintile,
Economy,CHEMFEIN,"Children in employment, female (% of female children ages 7-14), female",%,"Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.","% of female children, ages 7-14, that are employed. Includes those who study and work and those who work only since breakdown by sex not available for individual segments.",Children in employment,"study and work, and work only",female
Economy,CHEMMAIN,"Children in employment, work only and study and work (ages 7-14), male",%,"Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.","% of male children, ages 7-14, that are employed. Includes those who study and work and those who work only since breakdown by sex not available for individual segments.",Children in employment,"study and work, and work only",male
Health,PCUFWBRF,% of female children under five with birth registration,%,UNICEF Global Databases: Child Protection: Birth Registration,% of female children under five with birth registration,Children under five with birth registration,,female
Health,PCUFWBRM,% of male children under five with birth registration,%,UNICEF Global Databases: Child Protection: Birth Registration,% of male children under five with birth registration,Children under five with birth registration,,male
Health,PEWAMUBA,"% of women aged 20-24 who were married or in a union before age 18, female",%,UNICEF Global Databases: Child Protection: Child Marriage,% of women aged 20-24 who were married or in a union before age 18,Women married or in a union before age 18,women ages 20-24,female
Health,PFGMCWGP,FGM/C prevalence among girls and women (%),%,"UNICEF, Female Genital Mutilation/Cutting: A statistical overview and exploration of the dynamics of change, July 2013",Most types of FGM/C involve the cutting and removal of portions of the female genitalia. % of women and girls affected.,FGM/C prevalence among girls and women,all girls and women,female
Health,PFGMCWGF,"FGM/C prevalence among girls and women, by current age 15-19 (%)",%,"UNICEF, Female Genital Mutilation/Cutting: A statistical overview and exploration of the dynamics of change, July 2013",Most types of FGM/C involve the cutting and removal of portions of the female genitalia. % of women and girls who had FGM/C by current age 15-19.,FGM/C prevalence among girls and women,by current age 15-19 (%),female
Health,PFGMCGPP,FGMC prevalence among girls (%),%,"UNICEF, Female Genital Mutilation/Cutting: A statistical overview and exploration of the dynamics of change, July 2013",Most types of FGM/C involve the cutting and removal of portions of the female genitalia. % of girls affected.,FGM/C prevalence among girls and women,all girls,female
Health,PFGMCWTF,FGMC prevalence among girls and women by current age 20-24 (%),%,"UNICEF, Female Genital Mutilation/Cutting: A statistical overview and exploration of the dynamics of change, July 2013",Most types of FGM/C involve the cutting and removal of portions of the female genitalia. % of women and girls who had FGM/C by current age 20-24.,FGM/C prevalence among girls and women,by current age 20-24 (%),female
Health,PFGMWGFN,FGMC prevalence among girls and women by current age 25-29 (%),%,"UNICEF, Female Genital Mutilation/Cutting: A statistical overview and exploration of the dynamics of change, July 2013",Most types of FGM/C involve the cutting and removal of portions of the female genitalia. % of women and girls who had FGM/C by current age 25-29.,FGM/C prevalence among girls and women,by current age 25-29 (%),female
Health,PFGMWGTF,FGMC prevalence among girls and women by current age 30-34 (%),%,"UNICEF, Female Genital Mutilation/Cutting: A statistical overview and exploration of the dynamics of change, July 2013",Most types of FGM/C involve the cutting and removal of portions of the female genitalia. % of women and girls who had FGM/C by current age 30-34.,FGM/C prevalence among girls and women,by current age 30-34 (%),female
Health,PFGMTFTN,FGMC prevalence among girls and women by current age 35-39 (%),%,"UNICEF, Female Genital Mutilation/Cutting: A statistical overview and exploration of the dynamics of change, July 2013",Most types of FGM/C involve the cutting and removal of portions of the female genitalia. % of women and girls who had FGM/C by current age 35-39.,FGM/C prevalence among girls and women,by current age 35-39 (%),female
Health,PFGMFTFF,FGMC prevalence among girls and women by current age 40-44 (%),%,"UNICEF, Female Genital Mutilation/Cutting: A statistical overview and exploration of the dynamics of change, July 2013",Most types of FGM/C involve the cutting and removal of portions of the female genitalia. % of women and girls who had FGM/C by current age 40-44.,FGM/C prevalence among girls and women,by current age 40-44 (%),female
Health,PFGMFFFN,FGMC prevalence among girls and women by current age 45-49 (%),%,"UNICEF, Female Genital Mutilation/Cutting: A statistical overview and exploration of the dynamics of change, July 2013",Most types of FGM/C involve the cutting and removal of portions of the female genitalia. % of women and girls who had FGM/C by current age 45-49.,FGM/C prevalence among girls and women,by current age 45-49 (%),female
Health,MAFBFWFR,Mean age at first birth,Years of age,"United Nations, World Fertility Report, 2012",The mean age at first birth is the mean age of mothers at the birth of their first child if women were subject throughout their lives to the age-specific fertility rates of first order births in a given year.,Mean age at first birth,,
Health,MAFMFWFR,"Mean age at first marriage, female",Years of age,"United Nations, World Fertility Report, 2012",The mean age at first marriage is the mean age of men or women at first marriage if subject throughout their lives to the age-specific marriage rates of first marriages only in a given year.,Mean age at first marriage,,female
Health,MAFMMWFR,"Mean age at first marriage, male",Years of age,"United Nations, World Fertility Report, 2012",The mean age at first marriage is the mean age of men or women at first marriage if subject throughout their lives to the age-specific marriage rates of first marriages only in a given year.,Mean age at first marriage,,male
Health,ADFERRAT,"Adolescent fertility rate (births per 1,000 women, ages 15-19), female",Births Per 1000 Women,World Bank,"The adolescent birth rate measures the annual number of births to women 15 to 19 years of age per 1,000 women in that age group. It represents the risk of childbearing among adolescent women 15 to 19 years of age. It is also referred to as the age-specific fertility rate for women aged 15-19.",Adolescent fertility rate,"births per 1,000 women, ages 15-19",female
Economy,CHEMPSWF,"Children in employment, study and work, female, (% of female children in employment ages 7-14), female",%,World Bank,"Children in employment, study, and work, % of female children in ages 7-14",Children in employment,study and work,female
Economy,CHEMPSWM,"Children in employment, study and work, male, (% of male children in employment ages 7-14), male",%,World Bank,"Children in employment, study, and work, % of male children in ages 7-14",Children in employment,study and work,male
Health,FMMWEYEE,"Excess Female Deaths in the World, Girls at birth",Thousands,World Bank,"Excess Female Deaths in the World, By Age and Region, 1990 and 2008 (thousands), Girls at birth",Excess deaths in the world,,female
Health,SRABWBQL,Sex ratio at birth,Males Born Per One Female,World Bank,Males born per one female,Sex ratio at birth,,
Communication,FROPIRSF,Freedom of the Press (FOTP) score by Freedom House,Index Score,Freedom House,"The index assesses the degree of print, broadcast, and internet freedom in every country in the world, analyzing the events of each calendar year. It provides numerical rankings and scores (as well as categorisations of each country's media as ""Free,"" ""Partly Free,"" or ""Not Free."")",Freedom of the Press,score,
Communication,PNWSBWMN,% of news subjects that are women,%,"Global Media Monitoring Project, World Association for Christian Communication (GMMP, WACC)",% of news subjects that are women,"News subjects that are women, %",,
Communication,ONNWISGE,% of online news that raise issues of gender equality or inequality,%,"Global Media Monitoring Project, World Association for Christian Communication (GMMP, WACC)",% of online news that raise issues of gender equality or inequality,"Online news that raises issues of gender equality or inequality, %",,
Communication,POLNSWRW,"Internet news stories reported, by sex of reporter, % female",%,"Global Media Monitoring Project, World Association for Christian Communication (GMMP, WACC)","Internet news stories reported, by sex of reporter, % female",Internet news stories,reported by women,
Communication,ONWSBWMN,"Internet news stories where women are central, %",%,"Global Media Monitoring Project, World Association for Christian Communication (GMMP, WACC)","% of print, TV, and radio news that raise issues of gender equality",Internet news stories,where women are central,
Communication,IUPOHPWB,Internet users per 100 people,Users Per 100 Population,"International Telecommunication Union (ITU), World Telecommunication/ICT Development Report and database, and World Bank estimates.",Internet users per 100 people,Internet users,,
Communication,MCSPCOMM,Mobile cellular subscriptions per 100 people,Subscriptions Per 100 Population,"International Telecommunication Union (ITU), World Telecommunication/ICT Development Report and database, and World Bank estimates.",Mobile cellular subscriptions per 100 people,Mobile subscriptions,cellular,
Communication,TLPHCOMM,Telephone lines per 100 people,Lines Per 100 Population,"International Telecommunication Union (ITU), World Telecommunication/ICT Development Report and database, and World Bank estimates.",Telephone lines per 100 people,Telephone lines,,
Communication,TMNCPADM,"Total men in news company positions, administration",Number,International Women’s Media Foundation (IWMF),"Total men in news company positions, administration",Total in news company positions,administration,male
Communication,TMNCPGOV,"Total men in news company positions, governance",Number,International Women’s Media Foundation (IWMF),"Total men in news company positions, governance",Total in news company positions,governance,male
Communication,TMNCPJLP,"Total men in news company positions, junior level professional",Number,International Women’s Media Foundation (IWMF),"Total men in news company positions, junior level professional",Total in news company positions,junior level professional,male
Communication,TMNCPMDM,"Total men in news company positions, middle management",Number,International Women’s Media Foundation (IWMF),"Total men in news company positions, middle management",Total in news company positions,middle management,male
Communication,TMNCPPDE,"Total men in news company positions, production and design",Number,International Women’s Media Foundation (IWMF),"Total men in news company positions, production and design",Total in news company positions,production and design,male
Communication,TMNCSLPR,"Total men in news company positions, senior level professional",Number,International Women’s Media Foundation (IWMF),"Total men in news company positions, senior level professional",Total in news company positions,senior level professional,male
Communication,TMNCSEMG,"Total men in news company positions, senior management",Number,International Women’s Media Foundation (IWMF),"Total men in news company positions, senior management",Total in news company positions,senior management,male
Communication,TMNCPTEC,"Total men in news company positions, technical",Number,International Women’s Media Foundation (IWMF),"Total men in news company positions, technical",Total in news company positions,technical,male
Communication,TMNCPTMG,"Total men in news company positions, top level management",Number,International Women’s Media Foundation (IWMF),"Total men in news company positions, top level management",Total in news company positions,top level management,male
Communication,TWNCPADM,"Total women in news company positions, administration",Number,International Women’s Media Foundation (IWMF),"Total women in news company positions, administration",Total in news company positions,administration,female
Communication,TWNCPGOV,"Total women in news company positions, governance",Number,International Women’s Media Foundation (IWMF),"Total women in news company positions, governance",Total in news company positions,governance,female
Communication,TWNCPJLP,"Total women in news company positions, junior level professional",Number,International Women’s Media Foundation (IWMF),"Total women in news company positions, junior level professional",Total in news company positions,junior level professional,female
Communication,TWNCPMDM,"Total women in news company positions, middle management",Number,International Women’s Media Foundation (IWMF),"Total women in news company positions, middle management",Total in news company positions,middle management,female
Communication,TWNCPPDE,"Total women in news company positions, production and design",Number,International Women’s Media Foundation (IWMF),"Total women in news company positions, production and design",Total in news company positions,production and design,female
Communication,TWNCSLPR,"Total women in news company positions, senior level professional",Number,International Women’s Media Foundation (IWMF),"Total women in news company positions, senior level professional",Total in news company positions,senior level professional,female
Communication,TWNCSEMG,"Total women in news company positions, senior management",Number,International Women’s Media Foundation (IWMF),"Total women in news company positions, senior management",Total in news company positions,senior management,female
Communication,TWNCPTEC,"Total women in news company positions, technical",Number,International Women’s Media Foundation (IWMF),"Total women in news company positions, technical",Total in news company positions,technical,female
Communication,TWNCPTMG,"Total women in news company positions, top level management",Number,International Women’s Media Foundation (IWMF),"Total women in news company positions, top level management",Total in news company positions,top level management,female
Communication,CIZCONJO,World Press Freedom Index by Reporters Without Borders,Index Score,Reporters Without Borders,The World Press Freedom Index spotlights the negative impact of conflicts on freedom of information and its protagonists. The ranking of some countries has also been affected by a tendency to interpret national security needs in an overly broad and abusive manner to the detriment of the right to inform and be informed.,World Press Freedom Index,,
Communication,MOBUSRPF,"% mobile users, female",%,"Telecommunication Development Sector (ITU-D), United Nations",The share of total mobile users who are female.,Mobile users,,female
Communication,MOBUSRMA,"% mobile users, male",%,"Telecommunication Development Sector (ITU-D), United Nations",The share of total mobile users who are male.,Mobile users,,male
Communication,PERFINTU,"Internet users, % female",%,"Telecommunication Development Sector (ITU-D), United Nations","Percentage of Internet users, by gender, latest year available, 2010-2012",Internet users,,female
Communication,PFMPINTM,% of female population using Internet over 3 month period - all age groups,%,"UN Economic Commission for Europe (UNECE) Statistical Database, compiled from national and international (Eurostat) official sources.","Use of Internet includes any kind of use, whether at home, at work or from anywhere else, for private or professional purposes, using a computer or any other means.",Female population using internet,over 3 month period,female
Communication,PWWINTWK,% of female population using Internet weekly - all age groups,%,"UN Economic Commission for Europe (UNECE) Statistical Database, compiled from national and international (Eurostat) official sources.","Use of Internet includes any kind of use, whether at home, at work or from anywhere else, for private or professional purposes, using a computer or any other means.",Female population using internet,weekly,female
Communication,NFJUNECE,"Number of journalists, female",Number,United Nations Economic Commission for Europe (UNECE),"Number of journalists, female",Number of journalists,,female
Communication,NMJUNECE,"Number of journalists, male",Number,United Nations Economic Commission for Europe (UNECE),"Number of journalists, male",Number of journalists,,male
Communication,PFWATITM,% fewer women have access to internet than men,%,"Women and the Web study, by Intel, Dalberg, and Globescan, (2012).",% fewer women have access to internet than men,% fewer women have access to internet than men,,
Communication,WGINTEPE,Women's and girls' internet penetration,%,"Women and the Web study, by Intel, Dalberg, and Globescan, (2012).",Women's and girls' internet penetration,Women's and girls' internet penetration,,
Communication,PWLLTOMP,% women are less likely to own a mobile phone than a man,%,"Women Mobile: A Global Opportunity, 2010, by GSMA , Vital Wave Consulting, and the Cherie Blair Foundation",% women are less likely to own a mobile phone than a man,% women are less likely to own a mobile phone than a man,,
Communication,FBISPOHP,Fixed broadband internet subscribers per 100 people,Subscribers Per 100 Population,World Bank,Fixed broadband internet subscribers per 100 people,Fixed broadband internet subscribers per 100 people,,
Communication,IUSIFFWK,"Use internet as a source of information, weekly, female",%,World Values Survey,"Use internet as a source of information, weekly, female","Use internet as a source of information, weekly",,female
Communication,ISIWKLYM,"Use internet as a source of information, weekly, male",%,World Values Survey,"Use internet as a source of information, weekly, male","Use internet as a source of information, weekly",,male
Security,LACFORES,"Proportion of land area covered by forest, %",%,Devinfo (via United Nations Statistics Division); Millennium Development Goals Indicators,"Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens.",Proportion of land area covered by forest,,
Security,APPMAVGE,"Air pollution: Average exposure to PM2.5 (Fine particulate matter), total",Micro-Grams Per Cubic Meter,"Environmental Performance Index, Yale Center for Environmental Law & Policy (YCELP) and the Center for International Earth Science Information Network (CIESIN) at Columbia University",Population-weighted exposure to PM2.5 in micrograms per cubic meter (µg/m3),Air pollution,average exposure,total
Security,APPMEXCD,"Air pollution: PM2.5 Excedance, total",%,"Environmental Performance Index, Yale Center for Environmental Law & Policy (YCELP) and the Center for International Earth Science Information Network (CIESIN) at Columbia University","This is an average of the percentage of the population exposed to PM2.5 levels at 10 µg/m3, 15 µg/m3, 25 µg/m3, and 35 µg/m3",Air pollution,exceedance,total
Security,EPISCORE,Environmental Performance Index (2014),Score out of 100,"Environmental Performance Index, Yale Center for Environmental Law & Policy (YCELP) and the Center for International Earth Science Information Network (CIESIN) at Columbia University",The Environmental Performance Index (EPI) ranks how well countries perform on high-priority environmental issues in two broad policy areas: protection of human health from environmental harm and protection of ecosystems; overall score out of 100,Environmental Performance Index,,
Security,WJUENVMI,Women junior environment ministers,Number,European Commission,Number of women junior environment ministers,Women environment ministers,junior,
Security,WSENVMIN,Women senior environment ministers,Number,European Commission,Number of women senior environment ministers,Women environment ministers,senior,
Security,OZDPFEIN,"Ambient ozone depletion, DALYs, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/mortality cause",Ambient ozone depletion,,female
Security,OZDPMAIN,"Ambient ozone depletion, DALYs, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/mortality cause",Ambient ozone depletion,,male
Security,APMPFEIN,"Ambient particulate matter population, DALYs, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/mortality cause",Ambient particulate matter population,,female
Security,APMPMAIN,"Ambient particulate matter population, DALYs, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/mortality cause",Ambient particulate matter population,,male
Security,HHAPFEIN,"Household air pollution from solid fuels, DALYs, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/mortality cause",Household air pollution from solid fuels,,female
Security,HHAPMAIN,"Household air pollution from solid fuels, DALYs, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/mortality cause",Household air pollution from solid fuels,,male
Security,ENVRFEIN,"Other environmental risks, DALYs, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/mortality cause",Other environmental risks,,female
Security,ENVRMAIN,"Other environmental risks, DALYs, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/mortality cause",Other environmental risks,,male
Security,SLPOPURB,"Slum population in urban areas, %",%,UN Human Settlements Programme (UN-HABITAT),The Proportion of urban population living in slums is the proportion of urban population living in slum households.,Slum population in urban areas,,
Security,WANAOTIM,"Access to drinking water - improved, other, national",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who have access to improved drinking water from sources other than piped water on premises,Access to drinking water,"improved, other",national
Security,WARUOTIM,"Access to drinking water - improved, other, rural",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who have access to improved drinking water from sources other than piped water on premises,Access to drinking water,"improved, other",rural
Security,WAUROTIM,"Access to drinking water - improved, other, urban",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who have access to improved drinking water from sources other than piped water on premises,Access to drinking water,"improved, other",urban
Security,WANAPIPR,"Access to drinking water - improved, piped on premises, national",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who have access to improved drinking water from piped water on premises,Access to drinking water,"improved, piped on premises",national
Security,WARUPIPR,"Access to drinking water - improved, piped on premises, rural",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who have access to improved drinking water from piped water on premises,Access to drinking water,"improved, piped on premises",rural
Security,WAURPIPR,"Access to drinking water - improved, piped on premises, urban",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who have access to improved drinking water from piped water on premises,Access to drinking water,"improved, piped on premises",urban
Security,WANATOIM,"Access to drinking water - improved, total, national",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the total % of given population who have access to improved drinking water sources (including from piped water on premises and other sources),Access to drinking water,"improved, total",national
Security,WARUTOIM,"Access to drinking water - improved, total, rural",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the total % of given population who have access to improved drinking water sources (including from piped water on premises and other sources),Access to drinking water,"improved, total",rural
Security,WAURTOIM,"Access to drinking water - improved, total, urban",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the total % of given population who have access to improved drinking water sources (including from piped water on premises and other sources),Access to drinking water,"improved, total",urban
Security,WANAOTUN,"Access to drinking water - unimproved, other, national",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved drinking water from sources other than surface water,Access to drinking water,"unimproved, other",national
Security,WARUOTUN,"Access to drinking water - unimproved, other, rural",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved drinking water from sources other than surface water,Access to drinking water,"unimproved, other",rural
Security,WAUROTUN,"Access to drinking water - unimproved, other, urban",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved drinking water from sources other than surface water,Access to drinking water,"unimproved, other",urban
Security,WANASUWA,"Access to drinking water - unimproved, surface water, national",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved drinking water from surface water,Access to drinking water,"unimproved, surface water",national
Security,WARUSUWA,"Access to drinking water - unimproved, surface water, rural",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved drinking water from surface water,Access to drinking water,"unimproved, surface water",rural
Security,WAURSUWA,"Access to drinking water - unimproved, surface water, urban",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved drinking water from surface water,Access to drinking water,"unimproved, surface water",urban
Security,WARUTOUN,"Access to drinking water - unimproved, total, rural",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the total % of given population who still have only access to unimproved drinking water sources (including from surface water and other sources),Access to drinking water,"unimproved, total",rural
Security,WAURTOUN,"Access to drinking water - unimproved, total, urban",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the total % of given population who still have only access to unimproved drinking water sources (including from surface water and other sources),Access to drinking water,"unimproved, total",urban
Security,WANATOUN,"Access to drinking water - unimproved, total, national",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the total % of given population who still have only access to unimproved drinking water sources (including from surface water and other sources),Access to drinking water,"unimproved, total",national
Security,SANATOIM,"Sanitation - improved, total, national",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,"Measures the total % of people who have access to Improved sanitation facilities, which include: flush or pour-flush to piped sewer system, septic tank or pit latrine; ventilated improved pit latrine; pit latrine with slab; and composting toilet.",Sanitation - improved,total,national
Security,SARUTOIM,"Sanitation - improved, total, rural",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,"Measures the total % of people who have access to Improved sanitation facilities, which include: flush or pour-flush to piped sewer system, septic tank or pit latrine; ventilated improved pit latrine; pit latrine with slab; and composting toilet.",Sanitation - improved,total,rural
Security,SAURTOIM,"Sanitation - improved, total, urban",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,"Measures the total % of people who have access to Improved sanitation facilities, which include: flush or pour-flush to piped sewer system, septic tank or pit latrine; ventilated improved pit latrine; pit latrine with slab; and composting toilet.",Sanitation - improved,total,urban
Security,SANAOPDE,"Sanitation - unimproved, open defecation, national",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved sanitation facilities in the form of open defecation,Sanitation - unimproved,open defecation,national
Security,SARUOPDE,"Sanitation - unimproved, open defecation, rural",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved sanitation facilities in the form of open defecation,Sanitation - unimproved,open defecation,rural
Security,SAUROPDE,"Sanitation - unimproved, open defecation, urban",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved sanitation facilities in the form of open defecation,Sanitation - unimproved,open defecation,urban
Security,SANAOTUN,"Sanitation - unimproved, other, national",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved sanitation facilities other than shared or open defecation,Sanitation - unimproved,other,national
Security,SARUOTUN,"Sanitation - unimproved, other, rural",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved sanitation facilities other than shared or open defecation,Sanitation - unimproved,other,rural
Security,SAUROTUN,"Sanitation - unimproved, other, urban",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved sanitation facilities other than shared or open defecation,Sanitation - unimproved,other,urban
Security,SANASHPE,"Sanitation - unimproved, shared, national",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved shared sanitation facilities,Sanitation - unimproved,shared,national
Security,SARUSHPE,"Sanitation - unimproved, shared, rural",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved shared sanitation facilities,Sanitation - unimproved,shared,rural
Security,SAURSHPE,"Sanitation - unimproved, shared, urban",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,Measures the % of given population who still have only access to unimproved shared sanitation facilities,Sanitation - unimproved,shared,urban
Security,SANATOUN,"Sanitation - unimproved, total, national",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,"Measures the total % of given population who still have only access to unimproved sanitation facilities (including shared facilities, open defecation, and other sources)",Sanitation - unimproved,total,national
Security,SARUTOUN,"Sanitation - unimproved, total, rural",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,"Measures the total % of given population who still have only access to unimproved sanitation facilities (including shared facilities, open defecation, and other sources)",Sanitation - unimproved,total,rural
Security,SAURTOUN,"Sanitation - unimproved, total, urban",% Of Total Population,WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation,"Measures the total % of given population who still have only access to unimproved sanitation facilities (including shared facilities, open defecation, and other sources)",Sanitation - unimproved,total,urban
Security,AELECPOP,"Access to electricity, percent of population",%,World Bank,"Access to electricity is the percentage of population with access to electricity. Electrification data are collected from industry, national surveys and international sources.",Access to electricity,,
Security,PPSLDFUL,"Population using solid fuels, percent of population",%,"World Health Organisation, Household Energy Database","Percentage of population using solid fuels. Solid fuels include biomass fuels, such as wood, charcoal, crops or other agricultural waste, dung, shrubs and straw, and coal.",Population using solid fuels,,
Security,GHGETLUC,"Green house gas emissions total with land use, land-use change and forestry",Mtco2E,World Resources Institute,"Total green house gas emissions with land use, including land-use change and forestry",Greenhouse gas emissions,"total with land use, land-use change, and forestry",
Security,DPTYGMTE,% of women who have given money to an ecological organisation (past 2 years),%,World Values Survey,% of female respondents who have given money to an ecological organisation (past 2 years),"Gave money to an ecological organization (past 2 years), %",,female
Security,DPTYDPEC,% of women who have participated in a demonstration for some environmental cause (past 2 years),%,World Values Survey,% of female respondents who have participated in a demonstration for some environmental cause (past 2 years),"Participated in a demonstration for environmental cause (past 2 years), %",,
Security,WPENVORG,Women’s participation in a voluntary organization: environmental,%,World Values Survey,% of female respondents who have participated in an environmental voluntary organization,Women’s participation in a voluntary organization: environmental,,
Security,WDDLPCFE,"War and disaster related DALYs, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/mortality cause",War and disaster related harm,DALYs,female
Security,WDDLPCMA,"War and disaster related DALYs, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/mortality cause",War and disaster related harm,DALYs,male
Security,WDRDPCFE,"War and disaster related deaths, female","Deaths Per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean death rate per 100,000 attributable to risk factor/mortality cause",War and disaster related harm,deaths,female
Security,WDRDPCMA,"War and disaster related deaths, male","Deaths Per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean death rate per 100,000 attributable to risk factor/mortality cause",War and disaster related harm,deaths,male
Security,WRDLPCFE,"War related DALYs, female","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/mortality cause",War related harm,DALYs,female
Security,WRDLPCMA,"War related DALYs, male","DALYs per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean Disability Adjusted Life Years (DALY) rate per 100,000 attributable to risk factor/mortality cause",War related harm,DALYs,male
Security,WRRDPCFE,"War related deaths, female","Deaths Per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean death rate per 100,000 attributable to risk factor/mortality cause",War related harm,deaths,female
Security,WRRDPCMA,"War related deaths, male","Deaths Per 100,000",Global Burden of Disease by Institute for Health Metrics and Evaluation (GBD by IHME),"The mean death rate per 100,000 attributable to risk factor/mortality cause",War related harm,deaths,male
Security,NIDPCCOW,"Number of internally displaced people, total",Number,Internal Displacement Monitoring Centre,"IDMC’s global IDP figures presented are based on its monitoring of internal displacement caused by conflict, generalised violence, human rights violations and natural hazard-induced disasters. It should be noted that these figures do not include all IDP situations by other causes, such as development projects.",Number of internally displaced people,,total
Leadership,UNNCTFEW,"UN peacekeepers, number of contingent troops, female",Number,UN Peacekeeping,UN peacekeepers number of female contingent troops,UN peacekeepers,contingent troops,female
Leadership,UNNCTMAW,"UN peacekeepers, number of contingent troops, male",Number,UN Peacekeeping,UN peacekeepers number of male contingent troops,UN peacekeepers,contingent troops,male
Leadership,UNNMEFEW,"UN peacekeepers, number of military experts, female",Number,UN Peacekeeping,UN peacekeepers number of female military experts,UN peacekeepers,military experts,female
Leadership,UNNMEMAW,"UN peacekeepers, number of military experts, male",Number,UN Peacekeeping,UN peacekeepers number of male military experts,UN peacekeepers,military experts,male
Leadership,UNNPCFEW,"UN peacekeepers, number of police, female",Number,UN Peacekeeping,"UN Peacekeeping, Number of police office (formed police units and individual police)",UN peacekeepers,police,female
Leadership,UNNPCMAW,"UN peacekeepers, number of police, male",Number,UN Peacekeeping,"UN Peacekeeping, Number of police office (formed police units and individual police)",UN peacekeepers,police,male
Leadership,FEMPEACE,"Women signatories in peace processes, %",%,"UN Women, Women’s Participation in Peace Negotiations: Connections Between Presence and Influence",Share of female signatories of total signatories in specific peace processes the country signed in the year of the data point.,Women signatories in peace processes,,
Security,RPBORCOW,"Refugee population by origin, total",Number,"UNHCR Statistical Online Population Database, United Nations High Commissioner for Refugees (UNHCR)","Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Since 2007 the refugee population category also includes people in a refugee-like situation, most of who were previously included in the Others of concern group. The UNHCR mandate covers all refugees, except some 4.9 million Palestinian refugees residing in areas of operation of the United Nations Relief and Works Agency for Palestinian Refugees in the Near East (UNRWA)",Refugee population by origin,,total
Security,PRSCNCOW,"Persons of concern, (includes refugees, asylum seekers, returned refugees, IDPs, returned IDPs, stateless persons)",Number,United Nations High Commissioner for Refugees (UNHCR),"Persons of Concern is a term used to describe all people whose protection and assistance needs are of interest to UNHCR, including: refugees, asylum seekers, returned refugees, internally displaced people (IDP), returned IDPs, and stateless persons.",Persons of concern,,
Security,NPOFPCOW,"Number of police officers per 100,000, total","Number Per 100,000",United Nations Office on Drugs and Crime (UNODC),"Personnel in public agencies as of 31 December whose principal functions are the prevention, detection and investigation of crime and the apprehension of alleged offenders. Data concerning support staff (secretaries, clerts, etc.) should be excluded.",Number of police officers,,total
Security,NMLPLCOW,"Number of military personnel, total",Number,"World Bank; International Institute for Strategic Studies, The Military Balance","Armed forces personnel are active duty military personnel, including paramilitary forces if their training, organization, equipment, and control suggest they may be used to support or replace regular military forces.",Number of military personnel,,total
Leadership,DEMINDEX,Democracy Index,Index Score,Economist Intelligence Unit,"The Economist Intelligence Unit’s index of democracy, on a 0 to 10 scale, is based on the ratings for 60 indicators grouped in five categories: electoral process and pluralism; civil liberties; the functioning of government; political participation; and political culture. Each category has a rating on a 0 to 10 scale, and the overall index of democracy is the simple average of the five category indexes.",Democracy Index,,
Economy,RGDPUSDG,GDP growth rate,%,Economist Intelligence Unit,"Percentage change in real GDP, over previous year.",GDP,growth rate,
Economy,GDPPHEAD,GDP/head,Ppp $,Economist Intelligence Unit,"Varies across countries: 1) GDP at purchasing power parity (PPP), divided by population and 2) Nominal GDP in US$ translated using purchasing power parity (PPP) exchange rates, divided by population.",GDP,per head,
Economy,NGDPPUSD,Nominal GDP (US$ at PPP),Billion (PPP $),Economist Intelligence Unit,Gross domestic product (GDP) at purchasing power parity (PPP) in US$ (in billions),GDP,nominal (PPP$),
Economy,POPULATN,Population,Million,Economist Intelligence Unit,"Population, includes mid-year population estimates, end-year population estimates, and in some cases average-year population estimates",Population,total,
Economy,POPULATG,Population growth rate,%,Economist Intelligence Unit,Percentage change in mid-year population estimate over previous year.,Population,growth rate,
Economy,RGDPPUSD,"Real GDP (US$ at PPP, 2005 prices)",Billion (PPP $ at 2005 prices),Economist Intelligence Unit,"Gross domestic product (GDP) at constant market prices, rebased to 2005 constant prices and translated into US$ (in billions) using the LCU:$ PPP exchange rate in 2005.",GDP,real (PPP$ at 2005 prices),
Economy,UNEMPLOY,Unemployment rate,%,Economist Intelligence Unit,Recorded official unemployment as a percentage of total labour force.,Unemployment rate,total,
Security,GPITOASC,"Global Peace Index, Overall Score",Index Score,Institute for Economics and Peace,"The overall Global Peace Index score measures the level of peace in a country. It is a weighted score of internal and external peace. Scores are from 1 to 5, with 1 being the most peaceful and 5 being the least peaceful.","Global Peace Index, Overall Score",,
Health,BLIXLSRF,"BLI Life satisfaction, female",Mean value (Cantril Ladder),OECD Better Life Index,"The indicator considers people's evaluation of their life as a whole. It is a weighted-sum of different response categories based on people's rates of their current life relative to the best and worst possible lives for them on a scale from 0 to 10, using the Cantril Ladder (known also as the ""Self-Anchoring Striving Scale"").",BLI Life satisfaction,,female
Health,BLIXLSRM,"BLI Life satisfaction, male",Mean value (Cantril Ladder),OECD Better Life Index,"The indicator considers people's evaluation of their life as a whole. It is a weighted-sum of different response categories based on people's rates of their current life relative to the best and worst possible lives for them on a scale from 0 to 10, using the Cantril Ladder (known also as the ""Self-Anchoring Striving Scale"").",BLI Life satisfaction,,male
Health,BLIXQSNF,"BLI Quality of support network, female",%,OECD Better Life Index,"A measure of perceived social network support. The indicator is based on the question: “If you were in trouble, do you have relatives or friends you can count on to help you whenever you need them, or not?” and it considers the respondents who respond positively.",BLI Quality of support network,,female
Health,BLIXQSNM,"BLI Quality of support network, male",%,OECD Better Life Index,"A measure of perceived social network support. The indicator is based on the question: “If you were in trouble, do you have relatives or friends you can count on to help you whenever you need them, or not?” and it considers the respondents who respond positively.",BLI Quality of support network,,male
Economy,PURBSLUM,% of urban population living in slums,%,United Nations Statistics Division,The proportion of urban population living in slums is the proportion of urban population living in slum households.,Population residence,in slums,
Economy,URBANPOP,% of population in cities,%,World Bank,Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.,Population residence,in cities,
Economy,RURALPOP,% of population rural,%,World Bank,Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the % of the total population living in rural areas,Population residence,rural,
Economy,GINIINDX,GINI Index,Index Score,World Bank,"Gini index measures the extent to which the distribution of income or consumption expenditure among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.",GINI Index,,
Economy,GNIPHEAD,"GNI per capita, Atlas method",Current $,World Bank,"GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population.","GNI per capita, Atlas method",,
Economy,GEDUPGDP,Government spending on education as a % of GDP,%,World Bank,"Public expenditure on education as % of GDP is the total public expenditure (current and capital) on education expressed as a percentage of the Gross Domestic Product (GDP) in a given year. Public expenditure on education includes government spending on educational institutions (both public and private), education administration, and transfers/subsidies for private entities (students/households and other privates entities).",Government spending as a % of GDP,"on education ",
Economy,GOVTEXPH,Government spending on health as a % of GDP,%,World Bank,"Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.",Government spending as a % of GDP,"on health ",
Economy,MTFPOPRA,Male to female population ratio,Ratio,World Bank,Male to female population ratio,Population,male to female ratio,
Economy,AIDRPGNI,Net Aid received (% of GNI),%,World Bank,"Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent).",Net aid received,,
Economy,POVCNTD1,Poverty headcount ratio at $1.25 a day (PPP) (% of population),%,World Bank,"Population below $1.25 a day is the percentage of the population living on less than $1.25 a day at 2005 international 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.",Poverty headcount ratio,% population living at $1.25 a day (PPP),
Economy,POVCNTD2,Poverty headcount ratio at $2 a day (PPP) (% of population),%,World Bank,"Population below $2 a day is the percentage of the population living on less than $2.00 a day at 2005 international 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.",Poverty headcount ratio,% population living at $2 a day (PPP),
Economy,EDUPGOVT,"Public spending on education, total (% of government expenditure)",%,World Bank,Public expenditure on education as % of total government expenditure is the total public education expenditure (current and capital) expressed as a percentage of total government expenditure for all sectors in a given financial year.,Government spending,education,
Leadership,WGICRCOR,Control of corruption (Worldwide Governance Indicator),Score,World Bank,"Reflects perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as ""capture"" of the state by elites and private interests. Estimate of governance (ranges from approximately -2.5 (weak) to 2.5 (strong) governance performance)",Control of corruption (WGI),,
Leadership,WGIGOVEF,Government effectiveness (Worldwide Governance Indicator),Score,World Bank,"Reflects perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government's commitment to such policies. Estimate of governance (ranges from approximately -2.5 (weak) to 2.5 (strong) governance performance)",Government effectiveness (WGI),,
Leadership,WGIPSAVI,Political Stability and Absence of Violence/Terrorism (Worldwide Governance Indicator),Score,World Bank,"Reflects perceptions of the likelihood that the government will be destabilized or overthrown by unconstitutional or violent means, including politically-motivated violence and terrorism. Estimate of governance (ranges from approximately -2.5 (weak) to 2.5 (strong) governance performance)",Political Stability and Absence of Violence/Terrorism (WGI),,
Leadership,WGIREGQT,Regulatory quality (Worldwide Governance Indicator),Score,World Bank,Reflects perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development. Estimate of governance (ranges from approximately -2.5 (weak) to 2.5 (strong) governance performance),Government regulatory quality (WGI),,
Leadership,WGIROLAW,"Rule of law (Worldwide Governance Indicator) ",Score,World Bank,"Reflects perceptions of the extent to which agents have confidence in and abide by the rules of society, and in particular the quality of contract enforcement, property rights, the police, and the courts, as well as the likelihood of crime and violence. Estimate of governance (ranges from approximately -2.5 (weak) to 2.5 (strong) governance performance)",Rule of law (WGI),,
Leadership,WGIVACCT,"Voice and accountability (Worldwide Governance Indicator) ",Score,World Bank,"Reflects perceptions of the extent to which a country's citizens are able to participate in selecting their government, as well as freedom of expression, freedom of association, and a free media. Estimate of governance (ranges from approximately -2.5 (weak) to 2.5 (strong) governance performance)",Voice and accountability (WGI),,
Economy,MILEXCOW,Military expenditure (% of GDP),%,"World Bank; Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.","Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.)",Government spending,military,
Health,ERPBNWBL,Are employers required to provide break time for nursing mothers?,Yes/No,"World Bank, Women Business and the Law",Are employers required to provide break time for nursing mothers?,Break time required for nursing mothers,,
Health,LPPDPWBL,Are there laws penalizing or preventing the dismissal of pregnant women?,Yes/No,"World Bank, Women Business and the Law",Are there laws penalizing or preventing the dismissal of pregnant women?,Laws penalize or prevent the dismissal of pregnant women,,
Leadership,MWPTPWBL,Can married women pursue a trade or profession in the same way as a man?,Yes/No,"World Bank, Women Business and the Law",The answer is “Yes” if no permission is needed for a married woman to get a job or practice a trade or profession;The answer is also “Yes” if there is a nondiscrimination or equality provision in the Constitution or Gender Equality Act and no restriction in family or civil law regarding a married woman's ability to work;The answer is also “Yes” if married women and married men have the same rights in marriage and there is no restriction in the family or civil law regarding a married woman's ability to work;The answer is “No” if husbands can prevent their wives from getting or keeping jobs or from pursuing a trade or profession;The answer is also “No” if permission or additional documentation is required for married women to get a job or if a married man can go to court to get his wife's employer to fire her from her job or force her to leave her profession;The answer is also “No” if it is considered a form of disobedience with legal ramifications for a wife to engage in employment contrary to her husband's wishes or the interests of the family.,Can married women...,pursue a trade or profession?,
Leadership,MWRBMWBL,Can married women register a business in the same way as a man?,Yes/No,"World Bank, Women Business and the Law","The answer is “Yes” if full legal capacity is obtained upon the age of majority and there are no restrictions on married women registering a business;The answer is “No” if married women have limited legal capacity to register a business; this would include if they may not legally bind themselves;The answer is also “No” if married women need the permission, signature, or consent of their husbands to register a business;The answer is also “No” if married women are required to provide information pertaining to their husbands during any stage of the incorporation process, but the requirement is not reciprocal.",Can married women...,register a business in the same way as a man?,
Leadership,MWSACWBL,Can married women sign a contract?,Yes/No,"World Bank, Women Business and the Law","The answer is “Yes” if full legal capacity is obtained upon the age of majority and there are no restrictions on married women signing legally binding contracts;The answer is “No” if married women have limited legal capacity to enter into contracts or if they need the signature, consent, or permission of their husbands in order to legally bind themselves; this question does not concern restrictions on married women signing contracts specifically related to marital property governed under the default marital property regime; these are covered under the Using property indicator.",Can married women...,sign a contract?,
Leadership,NPNDMWBL,Can non-pregnant and non-nursing women do jobs deemed morally or socially inappropriate in the same way as men,Yes/No,"World Bank, Women Business and the Law",Can non-pregnant and non-nursing women do jobs deemed morally or socially inappropriate in the same way as men?,Can non-pregnant and non-nursing women...,do jobs deemed morally or socially inappropriate in the same way as men,
Leadership,NPNSJWBL,Can non-pregnant and non-nursing women do the same jobs as men?,Yes/No,"World Bank, Women Business and the Law",Can non-pregnant and non-nursing women do the same jobs as men?,Can non-pregnant and non-nursing women...,do the same jobs as men?,
Leadership,NPNWCWBL,Can non-pregnant and non-nursing women work in construction in the same way as men?,Yes/No,"World Bank, Women Business and the Law",Can non-pregnant and non-nursing women work in construction in the same way as men?,Can non-pregnant and non-nursing women...,work in construction in the same way as men?,
Leadership,NPNWFWBL,Can non-pregnant and non-nursing women work in factories in the same way as men?,Yes/No,"World Bank, Women Business and the Law",Can non-pregnant and non-nursing women work in factories in the same way as men?,Can non-pregnant and non-nursing women...,work in factories in the same way as men?,
Leadership,NPNDAWBL,Can non-pregnant and non-nursing women work in jobs deemed arduous in the same way as men?,Yes/No,"World Bank, Women Business and the Law",Can non-pregnant and non-nursing women work in jobs deemed arduous in the same way as men?,Can non-pregnant and non-nursing women...,work in jobs deemed arduous in the same way as men?,
Leadership,NPNWHWBL,Can non-pregnant and non-nursing women work in jobs deemed hazardous in the same way as men?,Yes/No,"World Bank, Women Business and the Law",Can non-pregnant and non-nursing women work in jobs deemed hazardous in the same way as men?,Can non-pregnant and non-nursing women...,work in jobs deemed hazardous in the same way as men?,
Leadership,NPNMWWBL,Can non-pregnant and non-nursing women work in metalworking in the same way as men?,Yes/No,"World Bank, Women Business and the Law",Can non-pregnant and non-nursing women work in metalworking in the same way as men?,Can non-pregnant and non-nursing women...,work in metalworking in the same way as men?,
Leadership,NPNWMWBL,Can non-pregnant and non-nursing women work in mining in the same way as men?,Yes/No,"World Bank, Women Business and the Law",Can non-pregnant and non-nursing women work in mining in the same way as men?,Can non-pregnant and non-nursing women...,work in mining in the same way as men?,
Leadership,NPNNHWBL,Can non-pregnant and non-nursing women work the same night hours as men,Yes/No,"World Bank, Women Business and the Law",Can non-pregnant and non-nursing women work the same night hours as men,Can non-pregnant and non-nursing women...,work the same night hours as men?,
Leadership,UWPTPWBL,Can unmarried women pursue a trade or profession in the same way as a man?,Yes/No,"World Bank, Women Business and the Law","The answer is “Yes” if no permission is needed for an unmarried woman to get a job or practice a trade or profession;The answer is also “Yes” if there is a nondiscrimination or equality provision in the Constitution or Gender Equality Act and no restriction in family or civil law regarding an unmarried woman's ability to work;The answer is “No” if permission or additional documentation is required, or if a guardian can stop an unmarried woman from working.",Can unmarried women...,pursue a trade or profession?,
Leadership,UWRBMWBL,Can unmarried women register a business in the same way as a man?,Yes/No,"World Bank, Women Business and the Law",The answer is “Yes” if full legal capacity is obtained upon the age of majority and there are no restrictions on unmarried women registering businesses;The answer is “No” if unmarried women have limited legal capacity to register a business; this would include situations in which they may not legally bind themselves with a legal document.,Can unmarried women...,register a business in the same way as a man?,
Leadership,UWSACWBL,Can unmarried women sign a contract?,Yes/No,"World Bank, Women Business and the Law",The answer is “Yes” if full legal capacity is obtained upon the age of majority and there are no restrictions on unmarried women signing legally binding contracts;The answer is “No” if unmarried women have limited legal capacity to sign a legally binding contract.,Can unmarried women...,sign a contract?,
Economy,EMCRFWBL,Do employees with minor children have rights to a flexible/part-time schedule?,Yes/No,"World Bank, Women Business and the Law",Do employees with minor children have rights to a flexible/part-time schedule?,Employee rights to a flexible/part-time schedule,,
Economy,SEIRPWBL,Do male and female spouses have equal inheritance rights to property?,Yes/No,"World Bank, Women Business and the Law","For the purpose of this question, it is assumed that the deceased spouse left no children or any other heirs, other than the surviving spouse;This question examines whether both spouses have equal rank and rights when it comes to inheriting assets in the absence of a will;The answer is “Yes” where the law recognizes the same rights to surviving spouses, once his or her spouse is deceased;The answer is “No” where there are gender-based differences on inheritance.",Equal inheritance rights to property,between male and female spouses,
Economy,SDEIRWBL,Do sons and daughters have equal inheritance rights to property?,Yes/No,"World Bank, Women Business and the Law","This question examines whether there are gender-based differences in the rules of intestate succession (that is, in the absence of a will) for property from parents to children;The answer is “Yes” where the law recognizes children as heirs without any restrictions based on gender with regard to property;The answer is “No” where there are gender-based differences between children recognized as heirs, on inheritance for property.",Equal inheritance rights to property,between sons and daughters,
Economy,MUEORWBL,Do unmarried men and unmarried women have equal ownership rights to property? (Female),Yes/No,"World Bank, Women Business and the Law","This question is designed to determine whether there are gender-based differences over property for unmarried men and unmarried women. Ownership rights as used here include the ability to manage, control, administer, access, encumber, receive, dispose of and transfer property;The answer is “Yes” when no specific legal restriction is applied to single women or men, based on gender, with regard to property;The answer is “No” when legal restrictions are applied to single women or men, based on gender, with regard to property.",Equal ownership rights to property,between married men and unmarried women,female
Economy,EORUNWBL,Do unmarried men and unmarried women have equal ownership rights to property? (Male),Yes/No,"World Bank, Women Business and the Law","This question is designed to determine whether there are gender-based differences over property for unmarried men and unmarried women. Ownership rights as used here include the ability to manage, control, administer, access, encumber, receive, dispose of and transfer property;The answer is “Yes” when no specific legal restriction is applied to single women or men, based on gender, with regard to property;The answer is “No” when legal restrictions are applied to single women or men, based on gender, with regard to property.",Equal ownership rights to property,between unmarried men and unmarried women,male
Economy,EGEEPWBL,Must employers give employees an equivalent position when they return from maternity leave?,Yes/No,"World Bank, Women Business and the Law",Must employers give employees an equivalent position when they return from maternity leave?,Paid parental leave,equivalent position guaranteed upon return,female
Leadership,COTBOVRE,Binary indicator demonstrating whether compulsory to be on the voters register,Yes/No,"ACE, The Electoral Knowledge Network",Binary indicator. Countries receive a 'yes' if it is compulsory to be on the voters register.,Compulsory to be on the voters register,,
Leadership,CBGOVFEM,"Central bank governor, female",Yes/No,Center for Asia-Pacific Women in Politics,"Female national bank governors. A country receives a 'yes' for every year that it had a female national bank governor, even if it is the same female for all years. National bank presidents are not included.",Central bank governor,,female
Leadership,NATNQUOT,"National (Single or lower house of parliament) legislated quotas for women in public office, quota level",Yes/No,The Quota Project,National (single or lower house of parliament) legislated quotas for women in public office.,Legislated quotas for women in public office,national,
Leadership,SNLLQWPO,Sub-national level legislated quotas for women in public office,Yes/No,The Quota Project,Sub-national level legislated quotas for women in public office,Legislated quotas for women in public office,sub-national,
Leadership,VPOLPQFW,Voluntary political party quotas for women,Yes/No,The Quota Project,Voluntary political party quotas for women,Voluntary political party quotas for women,,
Leadership,YRWOTRSE,Year women obtained the right to stand for election,Year of occurrence,"UN Women, Progress of the World’s Women 2011",The latest year women obtained the right to stand for election,Year women obtained election/voting rights,to stand for election,
Leadership,YRWORTVO,Year women obtained the right to vote,Year of occurrence,"UN Women, Progress of the World’s Women 2011",Year women obtained the right to vote,Year women obtained election/voting rights,to vote,
Leadership,CHJUSWOM,Binary indicator demonstrating whether Chief Justice is a woman,Yes/No,"World Bank, Women Business and the Law",Binary indicator. Countries receive a 'yes' if the chief justice is a woman.,Chief Justice is a woman,,
Security,TRFKNGRP,Trafficking in persons (TIP) country classification,Score,U.S. Department of State,"TIER 1: Countries whose governments fully comply with the Trafficking Victims Protection Act’s (TVPA) minimum standards. TIER 2: Countries whose governments do not fully comply with the TVPA’s minimum standards, but are making significant efforts to bring themselves into compliance with those standards. TIER 2 WATCHLIST: Countries whose governments do not fully comply with the TVPA’s minimum standards, but are making significant efforts to bring themselves into compliance with those standards AND: a) The absolute number of victims of severe forms of trafficking is very significant or is significantly increasing; b) There is a failure to provide evidence of increasing efforts to combat severe forms of trafficking in persons from the previous year; or c) The determination that a country is making significant efforts to bring itself into compliance with minimum standards was based on commitments by the country to take additional future steps over the next year. TIER 3: Countries whose governments do not fully comply with the minimum standards and are not making significant efforts to do so.",Trafficking in persons (TIP) country classification,,
Leadership,DDVLIEAB,"Domestic violence legislation includes emotional abuse, yes/no.",Yes/No,"World Bank, Women Business and the Law",The presence of legislation that includes emotional abuse as domestic violence.,Domestic violence legislation includes emotional abuse,,
Security,ITLTADVL,"Legislation exists that specifically addresses domestic violence, yes/no.",Yes/No,"World Bank, Women Business and the Law",There is legislation that specifically addresses domestic violence.,Legislation exists that specifically addresses...,domestic violence,
Security,ISTLGASH,"Legislation exists that specifically addresses sexual harassment, yes/no.",Yes/No,"World Bank, Women Business and the Law",There is legislation that specifically addresses sexual harassment.,Legislation exists that specifically addresses...,sexual harassment,
Communication,ENFCONSF,Freedom of the Press (FOTP) status by Freedom House,"Free (F 0-30), Partly Free (PF 31-60), Not Free (NF 61-100)",Freedom House,"The index assesses the degree of print, broadcast, and internet freedom in every country in the world, analyzing the events of each calendar year. It provides numerical rankings and scores (as well as categorisations of each country's media as ""Free,"" ""Partly Free,"" or ""Not Free."")",Freedom of the Press,status,
Security,FEMNSENV,Female minister of environment,Yes/No,"The Environment and Gender Index, International Union for the Conservation of Nature",Yes/no if the current minister of environment is female,Female minister of environment,,