United Nation SDG Indicators Global Database (UNSDG): Difference between revisions
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!Definition | !Definition | ||
!Ext Source Def | !Ext Source Def | ||
!Years | |||
!Last IFs Update | |||
!Name in Source | !Name in Source | ||
! | !Code in Source | ||
|- | |- | ||
|AidDonEdScholar | |AidDonEdScholar | ||
|Gross disbursements of total ODA from all donors for scholarships | |Gross disbursements of total ODA from all donors for scholarships | ||
|SDG 4.b.1 Volume of official development assistance flows for scholarships by sector and type of study | |SDG 4.b.1 Volume of official development assistance flows for scholarships by sector and type of study | ||
|2006-2023 | |||
|2026/03/11 | |||
|Total official flows for scholarships, by recipient | |Total official flows for scholarships, by recipient | ||
| | |DC_TOF_SCHIPSL | ||
|- | |||
|AidHealthcareGross | |||
|Gross disbursements of total ODA from all donors to medical research and basic health sectors | |||
|SDG 3.b.2 Total gross official development assistance to medical research and basic health sectors | |||
|2000-2023 | |||
|2026/03/11 | |||
|Total gross official disbursements for medical research and basic heath sectors, by recipient | |||
|DC_TOF_HLTHL | |||
|- | |||
|AidHealthcareNet | |||
|Net disbursements of total ODA from all donors to medical research and basic health sectors | |||
|SDG 3.b.2 Total net official development assistance to medical research and basic health sectors | |||
|2010-2023 | |||
|2026/03/11 | |||
|Total net official disbursements for medical research and basic heath sectors, by recipient | |||
|DC_TOF_HLTHNT | |||
|- | |||
|AidTotFlowsAgSector | |||
|Total official flows (official development assistance plus other official flows) to the agriculture sector | |||
|SDG 2.a.2 Total official flows (official development assistance plus other official flows) to the agriculture sector | |||
|2000-2023 | |||
|2026/03/11 | |||
|Total official flows to the agriculture sector | |||
|DC_TOF_AGRL | |||
|- | |||
|AidTotalInfrastructure | |||
|Aid received for Infrastructure, total (energy, ICT, water and sanitation and roads) | |||
|SDG 9.a.1 - Total official international support (official development assistance plus other official flows) to infrastructure | |||
|2000-2023 | |||
|2026/03/11 | |||
|Total official flows for infrastructure, by recipient | |||
|DC_TOF_INFRAL | |||
|- | |||
|AidWaterSanitation | |||
|Amount of water and sanitation-related official development assistance that is part of a governmen tcoordinated spending plan | |||
|SDG 6.a.1 Amount of water- and sanitation- related official development assistance that is part of a government-coordinated spending plan | |||
|2000-2023 | |||
|2026/03/11 | |||
|Total official flows for water supply and sanitation, by recipient | |||
|DC_TOF_WASHL | |||
|- | |- | ||
|AidforTradeCommitDonor | |AidforTradeCommitDonor | ||
|The gross commitments of total Official Development Assistance (ODA) from all donors for aid for trade | |The gross commitments of total Official Development Assistance (ODA) from all donors for aid for trade | ||
|SDG 8.a.1 - Aid for Trade commitments and disbursements | |SDG 8.a.1 - Aid for Trade commitments and disbursements | ||
|2006-2023 | |||
|2026/03/11 | |||
|Total official flows commitments for Aid for Trade, by donor | |Total official flows commitments for Aid for Trade, by donor | ||
| | |DC_TOF_TRDCMDL | ||
|- | |- | ||
|AidforTradeCommitRecipient | |AidforTradeCommitRecipient | ||
|The gross commitments of total Official Development Assistance (ODA) from all recipients for aid for trade | |The gross commitments of total Official Development Assistance (ODA) from all recipients for aid for trade | ||
|SDG 8.a.1 - Aid for Trade commitments and disbursements | |SDG 8.a.1 - Aid for Trade commitments and disbursements | ||
|2006-2023 | |||
|2026/03/11 | |||
|Total official flows commitments for Aid for Trade, by recipient | |Total official flows commitments for Aid for Trade, by recipient | ||
| | |DC_TOF_TRDDBML | ||
|- | |- | ||
|AidforTradeDisburseDonor | |AidforTradeDisburseDonor | ||
|The gross disbursements of total Official Development Assistance (ODA) from all donors for aid for trade | |The gross disbursements of total Official Development Assistance (ODA) from all donors for aid for trade | ||
|SDG 8.a.1 - Aid for Trade commitments and disbursements | |SDG 8.a.1 - Aid for Trade commitments and disbursements | ||
|2006-2023 | |||
|2026/03/11 | |||
|Total official flows disbursed for Aid for Trade, by donor | |Total official flows disbursed for Aid for Trade, by donor | ||
| | |DC_TOF_TRDDBMDL | ||
|- | |- | ||
|AidforTradeDisburseRecipient | |AidforTradeDisburseRecipient | ||
|The gross disbursements of total Official Development Assistance (ODA) from all recipients for aid for trade | |The gross disbursements of total Official Development Assistance (ODA) from all recipients for aid for trade | ||
|SDG 8.a.1 - Aid for Trade commitments and disbursements | |SDG 8.a.1 - Aid for Trade commitments and disbursements | ||
|2006-2023 | |||
|2026/03/11 | |||
|Total official flows disbursed for Aid for Trade, by recipient | |Total official flows disbursed for Aid for Trade, by recipient | ||
| | |DC_TOF_TRDCML | ||
|- | |- | ||
|AidtoDevelopingCountriesUSD | |AidtoDevelopingCountriesUSD | ||
|Dollar value of financial and technical assistance (including through North-South, South-South and triangular cooperation) committed to developing countries | |Dollar value of financial and technical assistance (including through North-South, South-South and triangular cooperation) committed to developing countries | ||
|SDG 17.9.1 Dollar value of financial and technical assistance (including through North-South, South-South and triangular cooperation) committed to developing countries | |SDG 17.9.1 Dollar value of financial and technical assistance (including through North-South, South-South and triangular cooperation) committed to developing countries | ||
|2000-2023 | |||
|2026/03/11 | |||
|Dollar value of financial and technical assistance committed to developing countries | |Dollar value of financial and technical assistance committed to developing countries | ||
| | |DC_FTA_TOTAL | ||
|- | |- | ||
| | |BankATMTotl | ||
| | |The number of automated teller machines (ATMs) per 100,000 adults | ||
|SDG | |SDG 8.10.1 - (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adults | ||
|2004-2023 | |||
|2026/03/11 | |||
|Number of automated teller machines (ATMs) per 100,000 adults | |||
|FB_ATM_TOTL | |||
|- | |||
| | |||
| | |||
| | |||
|- | |- | ||
|BankActAdult% | |BankActAdult% | ||
|The percentage of adults (ages 15+) who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months | |The percentage of adults (ages 15+) who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months | ||
|SDG 8.10.2 - Proportion of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service provider | |SDG 8.10.2 - Proportion of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service provider | ||
|2011-2022 | |||
|2026/03/11 | |||
|Number of commerical bank branches per 100,000 adults | |Number of commerical bank branches per 100,000 adults | ||
| | |FB_BNK_ACCSS | ||
|- | |- | ||
|BankBranchTotl | |BankBranchTotl | ||
|The number of commerical bank branches per 100,000 adults | |The number of commerical bank branches per 100,000 adults | ||
|SDG 8.10.1 - (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adults | |SDG 8.10.1 - (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adults | ||
|2004-2023 | |||
|2026/03/11 | |||
|Number of commerical bank branches per 100,000 adults | |Number of commerical bank branches per 100,000 adults | ||
| | |FB_CBK_BRCH | ||
|- | |- | ||
|BirthsRegisteredUnder5% | |BirthsRegisteredUnder5% | ||
|Proportion of children under 5 years of age whose births have been registered with a civil authority | |Proportion of children under 5 years of age whose births have been registered with a civil authority | ||
|SDG 16.9.1 Proportion of children under 5 years of age whose births have been registered with a civil authority, by age | |SDG 16.9.1 Proportion of children under 5 years of age whose births have been registered with a civil authority, by age | ||
|2006-2024 | |||
|2026/03/11 | |||
|Proportion of children under 5 years of age whose births have been registered with a civil authority | |Proportion of children under 5 years of age whose births have been registered with a civil authority | ||
| | |SG_REG_BRTH | ||
|- | |- | ||
|ComplianceParisPrinc | |ComplianceParisPrinc | ||
|The compliance of existing national human rights institutions with the Principlesrelating to the Status of National Institutions | |The compliance of existing national human rights institutions with the Principlesrelating to the Status of National Institutions | ||
| | |SDG 16.a.1: Existence of independent national human rights institutions in compliance with theParis Principles | ||
|2000-2024 | |||
|2026/03/11 | |||
|Existence ofindependent national human rights institutions in compliance with theParis Principles | |Existence ofindependent national human rights institutions in compliance with theParis Principles | ||
| | |SG_NHR_IMPL | ||
|- | |- | ||
|EdPrePriOrgLearnFemale% | |EdPrePriOrgLearnFemale% | ||
|Percentage of female pre-primary children who participate in one or more organized learning programme, including programmes which offer a combination of education and care | |Percentage of female pre-primary children who participate in one or more organized learning programme, including programmes which offer a combination of education and care | ||
|SDG 4.2.2 Participation rate in organized learning (one year before the official primary entry age), by sex | |SDG 4.2.2 Participation rate in organized learning (one year before the official primary entry age), by sex | ||
|2000-2025 | |||
|2026/03/11 | |||
|Participation rate in organized learning (one year before the official primary entry age) [Female] | |Participation rate in organized learning (one year before the official primary entry age) [Female] | ||
| | |SE_PRE_PARTN | ||
|- | |- | ||
|EdPrePriOrgLearnMale% | |EdPrePriOrgLearnMale% | ||
|Percentage of male pre-primary children who participate in one or more organized learning programme, including programmes which offer a combination of education and care | |Percentage of male pre-primary children who participate in one or more organized learning programme, including programmes which offer a combination of education and care | ||
|SDG 4.2.2 Participation rate in organized learning (one year before the official primary entry age), by sex | |SDG 4.2.2 Participation rate in organized learning (one year before the official primary entry age), by sex | ||
|2000-2025 | |||
|2026/03/11 | |||
|Participation rate in organized learning (one year before the official primary entry age) [Male] | |Participation rate in organized learning (one year before the official primary entry age) [Male] | ||
| | |SE_PRE_PARTN | ||
|- | |- | ||
|EdPrePriOrgLearnTotal% | |EdPrePriOrgLearnTotal% | ||
|Percentage of all pre-primary children who participate in one or more organized learning programme, including programmes which offer a combination of education and care | |Percentage of all pre-primary children who participate in one or more organized learning programme, including programmes which offer a combination of education and care | ||
|SDG 4.2.2 Participation rate in organized learning (one year before the official primary entry age), by sex | |SDG 4.2.2 Participation rate in organized learning (one year before the official primary entry age), by sex | ||
|2000-2025 | |||
|2026/03/11 | |||
|Participation rate in organized learning (one year before the official primary entry age) [Total] | |Participation rate in organized learning (one year before the official primary entry age) [Total] | ||
| | |SE_PRE_PARTN | ||
|- | |- | ||
|EdPrePriTeachTrainFemale% | |EdPrePriTeachTrainFemale% | ||
|Percentage of female pre-primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | |Percentage of female pre-primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | ||
|SDG 4.c. | |SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | ||
|2000-2025 | |||
|2026/03/11 | |||
|Proportion of teachers in pre-primary education with training [Female] | |Proportion of teachers in pre-primary education with training [Female] | ||
| | |SE_TRA_GRDL | ||
|- | |- | ||
|EdPrePriTeachTrainMale% | |EdPrePriTeachTrainMale% | ||
|Percentage of male pre-primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | |Percentage of male pre-primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | ||
|SDG 4.c. | |SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | ||
|2000-2025 | |||
|2026/03/11 | |||
|Proportion of teachers in pre-primary education with training [Male] | |Proportion of teachers in pre-primary education with training [Male] | ||
| | |SE_TRA_GRDL | ||
|- | |- | ||
|EdPrePriTeachTrainTotal% | |EdPrePriTeachTrainTotal% | ||
|Percentage of all pre-primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | |Percentage of all pre-primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | ||
|SDG 4.c. | |SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | ||
|2000-2025 | |||
|2026/03/11 | |||
|Proportion of teachers in pre-primary education with training [Both Sexes] | |Proportion of teachers in pre-primary education with training [Both Sexes] | ||
| | |SE_TRA_GRDL | ||
|- | |- | ||
|EdPriTeachTrainFemale% | |EdPriTeachTrainFemale% | ||
|Percentage of female primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | |Percentage of female primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | ||
|SDG 4.c. | |SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | ||
|2000-2025 | |||
|2026/03/11 | |||
|Proportion of teachers in primary education with training [Female] | |Proportion of teachers in primary education with training [Female] | ||
| | |SE_TRA_GRDL | ||
|- | |- | ||
|EdPriTeachTrainMale% | |EdPriTeachTrainMale% | ||
|Percentage of male primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | |Percentage of male primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | ||
|SDG 4.c. | |SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | ||
|2000-2025 | |||
|2026/03/11 | |||
|Proportion of teachers in primary education with training [Male] | |Proportion of teachers in primary education with training [Male] | ||
| | |SE_TRA_GRDL | ||
|- | |- | ||
|EdPriTeachTrainTotal% | |EdPriTeachTrainTotal% | ||
|Percentage of all primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | |Percentage of all primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | ||
|SDG 4.c. | |SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | ||
|2000-2025 | |||
|2026/03/11 | |||
|Proportion of teachers in primary education with training [Both Sexes] | |Proportion of teachers in primary education with training [Both Sexes] | ||
| | |SE_TRA_GRDL | ||
|- | |- | ||
|EdSecLowerTeachTrainFemale% | |EdSecLowerTeachTrainFemale% | ||
|Percentage of female lower secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | |Percentage of female lower secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | ||
|SDG 4.c. | |SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | ||
|2000-2025 | |||
|2026/03/11 | |||
|Proportion of teachers in lower secondary education with training [Female] | |Proportion of teachers in lower secondary education with training [Female] | ||
| | |SE_TRA_GRDL | ||
|- | |- | ||
|EdSecLowerTeachTrainMale% | |EdSecLowerTeachTrainMale% | ||
|Percentage of male lower secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | |Percentage of male lower secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | ||
|SDG 4.c. | |SDG 4.c.1 Proportion of teachers who have received at least the minimum organized teacher training for teaching (e.g. pedagogical training) pre-service or in-service for teaching at the relevant level in a given country | ||
|2000-2025 | |||
|2026/03/11 | |||
|Proportion of teachers in lower secondary education with training [Male] | |Proportion of teachers in lower secondary education with training [Male] | ||
| | |SE_TRA_GRDL | ||
|- | |- | ||
|EdSecLowerTeachTrainTotal% | |EdSecLowerTeachTrainTotal% | ||
|Percentage of all lower secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | |Percentage of all lower secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | ||
|SDG 4.c. | |SDG 4.c.1 Proportion of teachers who have received at least the minimum organized teacher training for teaching (e.g. pedagogical training) pre-service or in-service for teaching at the relevant level in a given country | ||
|2000-2025 | |||
|2026/03/11 | |||
|Proportion of teachers in lower secondary education with training [Both Sexes] | |Proportion of teachers in lower secondary education with training [Both Sexes] | ||
| | |SE_TRA_GRDL | ||
|- | |- | ||
|EdSecUpperTeachTrainFemale% | |EdSecUpperTeachTrainFemale% | ||
|Percentage of female upper secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | |Percentage of female upper secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | ||
|SDG 4.c. | |SDG 4.c.1 Proportion of teachers who have received at least the minimum organized teacher training for teaching (e.g. pedagogical training) pre-service or in-service for teaching at the relevant level in a given country | ||
|2000-2025 | |||
|2026/03/11 | |||
|Proportion of teachers in upper secondary with training [Female] | |Proportion of teachers in upper secondary with training [Female] | ||
| | |SE_TRA_GRDL | ||
|- | |- | ||
|EdSecUpperTeachTrainMale% | |EdSecUpperTeachTrainMale% | ||
|Percentage of male upper secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | |Percentage of male upper secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | ||
|SDG 4.c. | |SDG 4.c.1 Proportion of teachers who have received at least the minimum organized teacher training for teaching (e.g. pedagogical training) pre-service or in-service for teaching at the relevant level in a given country | ||
|2000-2025 | |||
|2026/03/11 | |||
|Proportion of teachers in upper secondary with training [Male] | |Proportion of teachers in upper secondary with training [Male] | ||
| | |SE_TRA_GRDL | ||
|- | |- | ||
|EdSecUpperTeachTrainTotal% | |EdSecUpperTeachTrainTotal% | ||
|Percentage of all upper secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | |Percentage of all upper secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | ||
|SDG 4.c. | |SDG 4.c.1 Proportion of teachers who have received at least the minimum organized teacher training for teaching (e.g. pedagogical training) pre-service or in-service for teaching at the relevant level in a given country | ||
|2000-2025 | |||
|2026/03/11 | |||
|Proportion of teachers in upper secondary with training [Both Sexes] | |Proportion of teachers in upper secondary with training [Both Sexes] | ||
| | |SE_TRA_GRDL | ||
|- | |- | ||
|EnvBiodiversityAssistanceDonor | |EnvBiodiversityAssistanceDonor | ||
|Total official development assistance for biodiversity, by donor | |Total official development assistance for biodiversity, by donor | ||
|SDG 15.a.1 Official development assistance and public expenditure on conservation and sustainable use of biodiversity and ecosystems | |SDG 15.a.1 Official development assistance and public expenditure on conservation and sustainable use of biodiversity and ecosystems | ||
|2002-2023 | |||
|2026/03/11 | |||
|Total official development assistance for biodiversity, by donor | |Total official development assistance for biodiversity, by donor | ||
| | |DC_ODA_BDVDL | ||
|- | |- | ||
|EnvBiodiversityAssistanceRecipient | |EnvBiodiversityAssistanceRecipient | ||
|Total official development assistance for biodiversity, by recipient | |Total official development assistance for biodiversity, by recipient | ||
|SDG 15.a.1 Official development assistance and public expenditure on conservation and sustainable use of biodiversity and ecosystems | |SDG 15.a.1 Official development assistance and public expenditure on conservation and sustainable use of biodiversity and ecosystems | ||
|2002-2023 | |||
|2026/03/11 | |||
|Total official development assistance for biodiversity, by donor | |Total official development assistance for biodiversity, by donor | ||
| | |DC_ODA_BDVL | ||
|- | |- | ||
|EnvFuelClean% | |EnvFuelClean% | ||
|Percentage of population with primary reliance on clean fuels and technology | |Percentage of population with primary reliance on clean fuels and technology | ||
|SDG 7.1.2 Proportion of population with primary reliance on clean fuels and technology | |SDG 7.1.2 Proportion of population with primary reliance on clean fuels and technology | ||
|2000-2023 | |||
|2026/03/11 | |||
|Proportion of population with primary reliance on clean fuels and technology | |Proportion of population with primary reliance on clean fuels and technology | ||
| | |EG_EGY_CLEAN | ||
|- | |- | ||
|EnvOrgCountryParticBasel% | |EnvOrgCountryParticBasel% | ||
|Compliance with the Basel Convention on hazardous waste and other chemicals | |Compliance with the Basel Convention on hazardous waste and other chemicals | ||
|SDG 12.4.1 Number of parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement" | |SDG 12.4.1 Number of parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement" | ||
| | | | ||
| | |2026/03/11 | ||
| | |||
| | |||
|- | |- | ||
|EnvOrgCountryParticMontreal% | |EnvOrgCountryParticMontreal% | ||
|Compliance with the Montreal Protocol on hazardous waste and other chemicals | |Compliance with the Montreal Protocol on hazardous waste and other chemicals | ||
|SDG 12.4.1 Number of parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement" | |SDG 12.4.1 Number of parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement" | ||
| | | | ||
| | |2026/03/11 | ||
| | |||
| | |||
|- | |- | ||
|EnvOrgCountryParticRotterdam% | |EnvOrgCountryParticRotterdam% | ||
|Compliance with the Rotterdam Convention on hazardous waste and other chemicals | |Compliance with the Rotterdam Convention on hazardous waste and other chemicals | ||
|SDG 12.4.1 Number of parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement" | |SDG 12.4.1 Number of parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement" | ||
|2015-2025 | |||
|2026/03/11 | |||
|Compliance with the Rotterdam Convention on hazardous waste and other chemicals | |Compliance with the Rotterdam Convention on hazardous waste and other chemicals | ||
| | |SG_HAZ_CMRROTDAM | ||
|- | |- | ||
|EnvOrgCountryParticStockholm% | |EnvOrgCountryParticStockholm% | ||
|Compliance with the Stockholm Convention on hazardous waste and other chemicals | |Compliance with the Stockholm Convention on hazardous waste and other chemicals | ||
|SDG 12.4.1 Number of parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement" | |SDG 12.4.1 Number of parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement" | ||
|2015-2025 | |||
|2026/03/11 | |||
|Compliance with the Stockholm Convention on hazardous waste and other chemicals | |Compliance with the Stockholm Convention on hazardous waste and other chemicals | ||
| | |SG_HAZ_CMRSTHOLM | ||
|- | |- | ||
|GDPEmpPersGrowthRate% | |GDPEmpPersGrowthRate% | ||
|Annual growth rate of real GDP per employed person conveys the annual percentage change in real Gross Domestic Product per employed person. | |Annual growth rate of real GDP per employed person conveys the annual percentage change in real Gross Domestic Product per employed person. | ||
|SDG 8.2.1 Annual growth rate of real GDP per employed person | |SDG 8.2.1 Annual growth rate of real GDP per employed person | ||
|2000-2024 | |||
|2026/03/11 | |||
|Annual growth rate of real GDP per employed person | |Annual growth rate of real GDP per employed person | ||
| | |SL_EMP_PCAP | ||
|- | |- | ||
|HealthConAlcohol | |HealthConAlcohol | ||
|Harmful use of alcohol, defined according to the national context as alcohol per capita consumption (aged 15 years and older) within a calendar year in litres of pure alcohol | |Harmful use of alcohol, defined according to the national context as alcohol per capita consumption (aged 15 years and older) within a calendar year in litres of pure alcohol | ||
|SDG 3.5.2 Harmful use of alcohol, defined according to the national context as alcohol per capita consumption (aged 15 years and older) within a calendar year in litres of pure alcohol | |SDG 3.5.2 Harmful use of alcohol, defined according to the national context as alcohol per capita consumption (aged 15 years and older) within a calendar year in litres of pure alcohol | ||
|2000-2022 | |||
|2026/03/11 | |||
|Harmful use of alcohol, defined as alcohol per capita consumption in litres of pure alcohol | |Harmful use of alcohol, defined as alcohol per capita consumption in litres of pure alcohol | ||
| | |SH_ALC_CONSPT | ||
|- | |- | ||
|HealthFGMFemale15to49% | |HealthFGMFemale15to49% | ||
|The proportion of girls and women aged 15-49 years who have undergone female genital mutilation/cutting | |The proportion of girls and women aged 15-49 years who have undergone female genital mutilation/cutting | ||
|SDG 5.3.1 Proportion of women aged 20-24 years who were married or in a union before age 15 and before age 18 | |SDG 5.3.1 Proportion of women aged 20-24 years who were married or in a union before age 15 and before age 18 | ||
|2004-2023 | |||
|2026/03/11 | |||
|Proportion of girls who have undergone FGM/C [15 to 49] | |Proportion of girls who have undergone FGM/C [15 to 49] | ||
| | |SH_STA_FGMS | ||
|- | |- | ||
|HealthGBVFemale15to49% | |HealthGBVFemale15to49% | ||
|Percentage of ever-partnered women and girls aged 15-49 years who have experienced physical, sexual or psychological violence by a current or former intimate partner, in the previous 12 months | |Percentage of ever-partnered women and girls aged 15-49 years who have experienced physical, sexual or psychological violence by a current or former intimate partner, in the previous 12 months | ||
|SDG 5.2.1 Proportion of ever-partnered women and girls aged 15 years and older subjected to physical, sexual or psychological violence by a current or former intimate partner in the previous 12 months, by form of violence and by age | |SDG 5.2.1 Proportion of ever-partnered women and girls aged 15 years and older subjected to physical, sexual or psychological violence by a current or former intimate partner in the previous 12 months, by form of violence and by age | ||
|2018-2018 | |||
|2026/03/11 | |||
|Proportion of women and girls subjected to violence by a partner in the last 12 months [15 to 49] | |Proportion of women and girls subjected to violence by a partner in the last 12 months [15 to 49] | ||
| | |VC_VAW_MARR | ||
|- | |- | ||
|HealthMortAirPollutionAmbi | |HealthMortAirPollutionAmbi | ||
|Crude death rate attributed to ambient air pollution | |Crude death rate attributed to ambient air pollution | ||
|SDG 3.9.1 Mortality rate attributed to ambient air pollution | |SDG 3.9.1 Mortality rate attributed to ambient air pollution | ||
|2019-2019 | |||
|2026/03/11 | |||
|Crude death rate attributed to ambient air pollution | |Crude death rate attributed to ambient air pollution | ||
| | |SH_AAP_ASMORT | ||
|- | |- | ||
|HealthMortAirPollutionHouse | |HealthMortAirPollutionHouse | ||
|Crude death rate attributed to household air pollution | |Crude death rate attributed to household air pollution | ||
|SDG 3.9.1 Mortality rate attributed to household and pollution | |SDG 3.9.1 Mortality rate attributed to household and pollution | ||
|2019-2019 | |||
|2026/03/11 | |||
|Crude death rate attributed to household air pollution | |Crude death rate attributed to household air pollution | ||
| | |SH_HAP_ASMORT | ||
|- | |- | ||
|HealthOccInjuriesFatFemale | |HealthOccInjuriesFatFemale | ||
|The frequency rates of fatal occupational injuries among female employees | |The frequency rates of fatal occupational injuries among female employees | ||
|SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrat status | |SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrat status | ||
|2000-2023 | |||
|2026/03/11 | |||
|Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status" | |Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status" | ||
| | |SL_EMP_FTLINJUR | ||
|- | |- | ||
|HealthOccInjuriesFatMale | |HealthOccInjuriesFatMale | ||
|The frequency rates of fatal occupational injuries among male employees | |The frequency rates of fatal occupational injuries among male employees | ||
|SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | |SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | ||
|2000-2023 | |||
|2026/03/11 | |||
|Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | |Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | ||
| | |SL_EMP_FTLINJUR | ||
|- | |- | ||
|HealthOccInjuriesFatTotal | |HealthOccInjuriesFatTotal | ||
|The frequency rates of fatal occupational injuries among | |The frequency rates of non-fatal occupational injuries among female employees | ||
|SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migran status | |SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migran status | ||
|2000-2023 | |||
|2026/03/11 | |||
|Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status" | |Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status" | ||
| | |SL_EMP_INJUR | ||
|- | |- | ||
|HealthOccInjuriesNonFatFemale | |HealthOccInjuriesNonFatFemale | ||
|The frequency rates of | |The frequency rates of fatal occupational injuries among total employees | ||
|SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | |SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | ||
|2000-2023 | |||
|2026/03/11 | |||
|Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | |Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | ||
| | |SL_EMP_INJUR | ||
|- | |- | ||
|HealthOccInjuriesNonFatMale | |HealthOccInjuriesNonFatMale | ||
|The frequency rates of non-fatal occupational injuries among | |The frequency rates of non-fatal occupational injuries among total employees | ||
|SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | |SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | ||
|2000-2023 | |||
|2026/03/11 | |||
|Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | |Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | ||
| | |SL_EMP_INJUR | ||
|- | |- | ||
|HealthOccInjuriesNonFatTotal | |HealthOccInjuriesNonFatTotal | ||
|The frequency rates of non-fatal occupational injuries among | |The frequency rates of non-fatal occupational injuries among female employees | ||
|SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | |SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | ||
|2000-2023 | |||
|2026/03/11 | |||
|Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | |Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | ||
| | |SL_EMP_FTLINJUR | ||
|- | |- | ||
|HealthWrkrDensDentistry | |HealthWrkrDensDentistry | ||
|Number of dentists, dental technician/assistants and related occupation personnel per 1,000 population | |Number of dentists, dental technician/assistants and related occupation personnel per 1,000 population | ||
|SDG 3.c.1 Health worker density and distribution | |SDG 3.c.1 Health worker density and distribution | ||
|2000-2023 | |||
|2026/03/11 | |||
|Health worker density of dentistry personnel per 1,000 population | |Health worker density of dentistry personnel per 1,000 population | ||
| | |SH_MED_DEN | ||
|- | |- | ||
|HealthWrkrDensNurseMW | |HealthWrkrDensNurseMW | ||
|Number of nursing and midwifery personnel per 1,000 population | |Number of nursing and midwifery personnel per 1,000 population | ||
|SDG 3.c.1 Health worker density and distribution | |SDG 3.c.1 Health worker density and distribution | ||
|2000-2023 | |||
|2026/03/11 | |||
|Health worker density of nursing and midwifery personnel per 1,000 population | |Health worker density of nursing and midwifery personnel per 1,000 population | ||
| | |SH_MED_DEN | ||
|- | |- | ||
|HealthWrkrDensPharma | |HealthWrkrDensPharma | ||
|Number of pharmacists, pharmaceutical technicians/assistants and related occupation personnel per 1,000 population | |Number of pharmacists, pharmaceutical technicians/assistants and related occupation personnel per 1,000 population | ||
|SDG 3.c.1 Health worker density and distribution | |SDG 3.c.1 Health worker density and distribution | ||
|2000-2023 | |||
|2026/03/11 | |||
|Health worker density of pharmaceutrical personnel per 1,000 population | |Health worker density of pharmaceutrical personnel per 1,000 population | ||
| | |SH_MED_DEN | ||
|- | |- | ||
|HealthWrkrDensPhysician | |HealthWrkrDensPhysician | ||
|Number of physicians, including generalists and specialist medical practitioners per 1,000 population | |Number of physicians, including generalists and specialist medical practitioners per 1,000 population | ||
|SDG 3.c.1 Health worker density and distribution | |SDG 3.c.1 Health worker density and distribution | ||
|2000-2023 | |||
|2026/03/11 | |||
|Health worker density of physicians per 1,000 population | |Health worker density of physicians per 1,000 population | ||
| | |SH_MED_DEN | ||
|- | |- | ||
| | |HealthcareTropDiseaseIntervention | ||
| | |Number of people requiring interventions against neglected tropical diseases | ||
|SDG | |SDG 3.3.5 Number of people requiring interventions against neglected tropical diseases | ||
| | |2010-2023 | ||
| | |2026/03/11 | ||
|Number of people requiring interventions against neglected tropical diseases | |||
|SH_TRP_INTVN | |||
|- | |- | ||
|ICTTelephoneMobileCov2g% | |ICTTelephoneMobileCov2g% | ||
|Proportion of population covered by a mobile network, by technology | |Proportion of population covered by a mobile network, by technology | ||
|SDG 9.c.1 Proportion of population covered by a mobile network, by technology | |SDG 9.c.1 Proportion of population covered by a mobile network, by technology | ||
|2000-2023 | |||
|2026/03/11 | |||
|Proportion of population covered by a mobile network, 2g | |Proportion of population covered by a mobile network, 2g | ||
| | |IT_MOB_2GNTWK | ||
|- | |- | ||
|ICTTelephoneMobileCov3g% | |ICTTelephoneMobileCov3g% | ||
|Proportion of population covered by a mobile network, 3g | |Proportion of population covered by a mobile network, 3g | ||
|SDG 9.c.1 Proportion of population covered by a mobile network, by technology | |SDG 9.c.1 Proportion of population covered by a mobile network, by technology | ||
|2007-2023 | |||
|2026/03/11 | |||
|Proportion of population covered by a mobile network, 3g | |Proportion of population covered by a mobile network, 3g | ||
| | |IT_MOB_3GNTWK | ||
|- | |- | ||
|ICTTelephoneMobileCov4g% | |ICTTelephoneMobileCov4g% | ||
|Proportion of population covered by a mobile network, 4g | |Proportion of population covered by a mobile network, 4g | ||
|SDG 9.c.1 Proportion of population covered by a mobile network, by technology | |SDG 9.c.1 Proportion of population covered by a mobile network, by technology | ||
|2012-2023 | |||
|2026/03/11 | |||
|Proportion of population covered by a mobile network, 4g | |Proportion of population covered by a mobile network, 4g | ||
| | |IT_MOB_4GNTWK | ||
|- | |- | ||
|ICTTelephoneMobileOwnFemale% | |ICTTelephoneMobileOwnFemale% | ||
|The proportion of females who own a mobile telephone | |The proportion of females who own a mobile telephone | ||
|SDG 5.b.1 Proportion of individuals who own a mobile telephone, by sex | |SDG 5.b.1 Proportion of individuals who own a mobile telephone, by sex | ||
|2013-2024 | |||
|2026/03/11 | |||
|Proportion of individuals who own a mobile telephone [Female] | |Proportion of individuals who own a mobile telephone [Female] | ||
| | |IT_MOB_OWN | ||
|- | |- | ||
|ICTTelephoneMobileOwnMale% | |ICTTelephoneMobileOwnMale% | ||
|The proportion of males who own a mobile telephone | |The proportion of males who own a mobile telephone | ||
|SDG 5.b.1 Proportion of individuals who own a mobile telephone, by sex | |SDG 5.b.1 Proportion of individuals who own a mobile telephone, by sex | ||
|2013-2024 | |||
|2026/03/11 | |||
|Proportion of individuals who own a mobile telephone [Male] | |Proportion of individuals who own a mobile telephone [Male] | ||
| | |IT_MOB_OWN | ||
|- | |- | ||
|ICTTelephoneMobileOwnTotal% | |ICTTelephoneMobileOwnTotal% | ||
|The proportion of individuals who own a mobile telephone | |The proportion of individuals who own a mobile telephone | ||
|SDG 5.b.1 Proportion of individuals who own a mobile telephone, by sex | |SDG 5.b.1 Proportion of individuals who own a mobile telephone, by sex | ||
|2013-2024 | |||
|2026/03/11 | |||
|Proportion of individuals who own a mobile telephone [Both sexes] | |Proportion of individuals who own a mobile telephone [Both sexes] | ||
| | |IT_MOB_OWN | ||
|- | |- | ||
|IncBelow1D90c%Working15+Female | |IncBelow1D90c%Working15+Female | ||
|Percentage of females 15 and older living on less than $1.90 a day at 2011 international prices | |Percentage of females 15 and older living on less than $1.90 a day at 2011 international prices | ||
|SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | |SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | ||
|2000-2019 | |||
|2026/03/11 | |||
|Proportion of employed population below the poverty line of US$1.90 per day [15 and over Female] | |Proportion of employed population below the poverty line of US$1.90 per day [15 and over Female] | ||
| | |SI_POV_EMP1 | ||
|- | |- | ||
|IncBelow1D90c%Working15+Male | |IncBelow1D90c%Working15+Male | ||
|Percentage of males 15 and older living on less than $1.90 a day at 2011 international prices | |Percentage of males 15 and older living on less than $1.90 a day at 2011 international prices | ||
|SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | |SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | ||
|2000-2019 | |||
|2026/03/11 | |||
|Proportion of employed population below the poverty line of US$1.90 per day [15 and over Male] | |Proportion of employed population below the poverty line of US$1.90 per day [15 and over Male] | ||
| | |SI_POV_EMP1 | ||
|- | |- | ||
|IncBelow1D90c%Working15+Total | |IncBelow1D90c%Working15+Total | ||
|Percentage of people 15 and older living on less than $1.90 a day at 2011 international prices | |Percentage of people 15 and older living on less than $1.90 a day at 2011 international prices | ||
|SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | |SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | ||
|2000-2022 | |||
|2026/03/11 | |||
|Proportion of employed population below the poverty line of US$1.90 per day [15 and over Total] | |Proportion of employed population below the poverty line of US$1.90 per day [15 and over Total] | ||
| | |SI_POV_EMP1 | ||
|- | |- | ||
|IncBelow1D90c%Working15to24Female | |IncBelow1D90c%Working15to24Female | ||
|Percentage of female 15 to 24 year olds living on less than $1.90 a day at 2011 international prices | |Percentage of female 15 to 24 year olds living on less than $1.90 a day at 2011 international prices | ||
|SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | |SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | ||
|2000-2019 | |||
|2026/03/11 | |||
|Proportion of employed population below the poverty line of US$1.90 per day [15 to 24 Female] | |Proportion of employed population below the poverty line of US$1.90 per day [15 to 24 Female] | ||
| | |SI_POV_EMP1 | ||
|- | |- | ||
|IncBelow1D90c%Working15to24Male | |IncBelow1D90c%Working15to24Male | ||
|Percentage of male 15 to 24 year olds living on less than $1.90 a day at 2011 international prices | |Percentage of male 15 to 24 year olds living on less than $1.90 a day at 2011 international prices | ||
|SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | |SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | ||
|2000-2019 | |||
|2026/03/11 | |||
|Proportion of employed population below the poverty line of US$1.90 per day [15 to 24 Male] | |Proportion of employed population below the poverty line of US$1.90 per day [15 to 24 Male] | ||
| | |SI_POV_EMP1 | ||
|- | |- | ||
|IncBelow1D90c%Working15to24Total | |IncBelow1D90c%Working15to24Total | ||
|Percentage of all 15 to 24 year olds living on less than $1.90 a day at 2011 international prices | |Percentage of all 15 to 24 year olds living on less than $1.90 a day at 2011 international prices | ||
|SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | |SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | ||
|2000-2019 | |||
|2026/03/11 | |||
|Proportion of employed population below the poverty line of US$1.90 per day [15 to 24 Total] | |Proportion of employed population below the poverty line of US$1.90 per day [15 to 24 Total] | ||
| | |SI_POV_EMP1 | ||
|- | |- | ||
|IncBelow1D90c%Working25+Female | |IncBelow1D90c%Working25+Female | ||
|Percentage of females 25 and older living on less than $1.90 a day at 2011 international prices | |Percentage of females 25 and older living on less than $1.90 a day at 2011 international prices | ||
|SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | |SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | ||
|2000-2019 | |||
|2026/03/11 | |||
|Proportion of employed population below the poverty line of US$1.90 per day [25 and over Female] | |Proportion of employed population below the poverty line of US$1.90 per day [25 and over Female] | ||
| | |SI_POV_EMP1 | ||
|- | |- | ||
|IncBelow1D90c%Working25+Male | |IncBelow1D90c%Working25+Male | ||
|Percentage of males 25 and older living on less than $1.90 a day at 2011 international prices | |Percentage of males 25 and older living on less than $1.90 a day at 2011 international prices | ||
|SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | |SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | ||
|2000-2019 | |||
|2026/03/11 | |||
|Proportion of employed population below the poverty line of US$1.90 per day [25 and over Male] | |Proportion of employed population below the poverty line of US$1.90 per day [25 and over Male] | ||
| | |SI_POV_EMP1 | ||
|- | |- | ||
|IncBelow1D90c%Working25+Total | |IncBelow1D90c%Working25+Total | ||
|Percentage of people 25 and older living on less than $1.90 a day at 2011 international prices | |Percentage of people 25 and older living on less than $1.90 a day at 2011 international prices | ||
|SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | |SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | ||
|2000-2019 | |||
|2026/03/11 | |||
|Proportion of employed population below the poverty line of US$1.90 per day [25 and over Total] | |Proportion of employed population below the poverty line of US$1.90 per day [25 and over Total] | ||
| | |SI_POV_EMP1 | ||
|- | |- | ||
|IncNatlPovertyTotal | |IncNatlPovertyTotal | ||
|Proportion of population living below the national poverty line, by sex and age; Total | |Proportion of population living below the national poverty line, by sex and age; Total | ||
|SDG 1.2.1 Proportion of total population living below the national poverty line, by sex and age | |SDG 1.2.1 Proportion of total population living below the national poverty line, by sex and age | ||
|2000-2024 | |||
|2026/03/11 | |||
|Proportion of total population living below the national poverty line | |Proportion of total population living below the national poverty line | ||
| | |SI_POV_NAHC | ||
|- | |- | ||
|IncNatlPovertyUrban | |IncNatlPovertyUrban | ||
|Proportion of population living below the national poverty line, by sex and age; Urban | |Proportion of population living below the national poverty line, by sex and age; Urban | ||
|SDG 1.2.1 Proportion of urban population living below the national poverty line, by sex and age | |SDG 1.2.1 Proportion of urban population living below the national poverty line, by sex and age | ||
|2016-2023 | |||
|2026/03/11 | |||
|Proportion of urban population living below the national poverty line | |Proportion of urban population living below the national poverty line | ||
| | |SI_POV_NAHC | ||
|- | |- | ||
|IncomepercapitaGrowthLo40% | |IncomepercapitaGrowthLo40% | ||
|Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population | |Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population | ||
|SDG 10.1.1 Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population and the total population | |SDG 10.1.1 Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population and the total population | ||
|2010-2024 | |||
|2026/03/11 | |||
|Growth rates of household expenditure or income per capita among the bottom 40 per cent of pop | |Growth rates of household expenditure or income per capita among the bottom 40 per cent of pop | ||
| | |SI_HEI_TOTL | ||
|- | |- | ||
|IncomepercapitaGrowthTotal% | |IncomepercapitaGrowthTotal% | ||
|Total growth rates of household expenditure or income per capita | |Total growth rates of household expenditure or income per capita | ||
|SDG 10.1.1 Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population and the total population | |SDG 10.1.1 Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population and the total population | ||
|2010-2024 | |||
|2026/03/11 | |||
|Growth rates of household expenditure or income per capita among the bottom 40 per cent of pop | |Growth rates of household expenditure or income per capita among the bottom 40 per cent of pop | ||
| | |SI_HEI_TOTL | ||
|- | |||
|LaborChild% | |||
|The number of children aged 5-17 years who are reported to have been engaged in child labour in the past week divided by the total number of children aged 5-17 in the population | |||
|SDG 8.7.1 - Proportion and number of children aged 5-17 years engaged in child labour, by sex and age | |||
|2010-2023 | |||
|2026/03/11 | |||
|Proportion of children aged 5-17 years engaged in labour (both sexes or no breakdown by sex) | |||
|SL_TLF_CHLDEA | |||
|- | |||
|LaborChildFemale% | |||
|The number of female children aged 5-17 years who are reported to have been engaged in child labour in the past week divided by the total number of children aged 5-17 in the population | |||
|SDG 8.7.1 - Proportion and number of children aged 5-17 years engaged in child labour, by sex and age | |||
|2010-2023 | |||
|2026/03/11 | |||
|Proportion of children aged 5-17 years engaged in labour (Female) | |||
|SL_TLF_CHLDEA | |||
|- | |||
|LaborChildMale% | |||
|The number of male children aged 5-17 years who are reported to have been engaged in child labour in the past week divided by the total number of children aged 5-17 in the population | |||
|SDG 8.7.1 - Proportion and number of children aged 5-17 years engaged in child labour, by sex and age | |||
|2010-2023 | |||
|2026/03/11 | |||
|Proportion of children aged 5-17 years engaged in labour (Male) | |||
|SL_TLF_CHLDEA | |||
|- | |||
|LaborUnemployedFemale15AndOver% | |||
|Percentage of the female labor force that is 15 years old and over and unemployed | |||
|SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | |||
|2000-2024 | |||
|2026/03/11 | |||
|Unemployment rate [Female - 15 years old and over] | |||
|SL_TLF_UEM | |||
|- | |||
|LaborUnemployedFemale15to24% | |||
|Percentage of the female labor force that is 15 to 24 years old and unemployed | |||
|SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | |||
|2000-2024 | |||
|2026/03/11 | |||
|Unemployment rate [Female - 15 to 24] | |||
|SL_TLF_UEM | |||
|- | |||
|LaborUnemployedFemale25AndOver% | |||
|Percentage of the female labor force that is 25 years old and over and unemployed | |||
|SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | |||
|2000-2024 | |||
|2026/03/11 | |||
|Unemployment rate [Female - 25 years old and over] | |||
|SL_TLF_UEM | |||
|- | |||
|LaborUnemployedMale15AndOver% | |||
|Percentage of the male labor force that is 15 years old and over and unemployed | |||
|SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | |||
|2000-2024 | |||
|2026/03/11 | |||
|Unemployment rate [Male - 15 years old and over] | |||
|SL_TLF_UEM | |||
|- | |||
|LaborUnemployedMale15to24% | |||
|Percentage of the male labor force that is 15 to 24 years old and unemployed | |||
|SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | |||
|2000-2024 | |||
|2026/03/11 | |||
|Unemployment rate [Male - 15 to 24] | |||
|SL_TLF_UEM | |||
|- | |||
|LaborUnemployedMale25AndOver% | |||
|Percentage of the male labor force that is over 25 years old and unemployed | |||
|SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | |||
|2000-2024 | |||
|2026/03/11 | |||
|Unemployment rate [Male - 25 years old and over] | |||
|SL_TLF_UEM | |||
|- | |||
|LaborUnemployedTotal15AndOver% | |||
|Percentage of the total labor force that is 15 years old and over and unemployed | |||
|SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | |||
|2000-2024 | |||
|2026/03/11 | |||
|Unemployment rate [Both sexes - 15 years old and over] | |||
|SL_TLF_UEM | |||
|- | |||
|LaborUnemployedTotal15to24% | |||
|Percentage of the total labor force that is 15 to 24 years old and unemployed | |||
|SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | |||
|2000-2024 | |||
|2026/03/11 | |||
|Unemployment rate [Both sexes - 15 to 24] | |||
|SL_TLF_UEM | |||
|- | |||
|LaborUnemployedTotal25AndOver% | |||
|Percentage of the total labor force that is 25 years old and over and unemployed | |||
|SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | |||
|2000-2024 | |||
|2026/03/11 | |||
|Unemployment rate [Both sexes - 25 years old and over] | |||
|SL_TLF_UEM | |||
|- | |||
|LaborUnpdCareFemale% | |||
|Average time women spend on household provision of care services (e.g. childcare and care of sick, elderly, or disabled household members) | |||
|SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | |||
|2000-2024 | |||
|2026/03/11 | |||
|Proportion of time spent on unpaid care work [Female] | |||
|SL_DOM_TSPDCW | |||
|- | |||
|LaborUnpdCareMale% | |||
|Average time men spend on household provision of care services (e.g. childcare and care of sick, elderly, or disabled household members) | |||
|SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | |||
|2000-2024 | |||
|2026/03/11 | |||
|Proportion of time spent on unpaid care work [Male] | |||
|SL_DOM_TSPDCW | |||
|- | |||
|LaborUnpdDomCareFemale% | |||
|Average time women spend on provision of services for household consumption (e.g. food preparation, dishwashing, cleaning, childcare, and care of sick or elderly household members) | |||
|SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | |||
|2000-2024 | |||
|2026/03/11 | |||
|Proportion of time spent on unpaid domestic and care work [Female] | |||
|SL_DOM_TSPD | |||
|- | |||
|LaborUnpdDomCareMale% | |||
|Average time men spend on provision of services for household consumption (e.g. food preparation, dishwashing, cleaning, childcare, and care of sick or elderly household members) | |||
|SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | |||
|2000-2024 | |||
|2026/03/11 | |||
|Proportion of time spent on unpaid domestic and care work [Male] | |||
|SL_DOM_TSPD | |||
|- | |||
|LaborUnpdDomFemale% | |||
|Average time women spend on provision of non-care-related services for household consumption (e.g. food preparation, dishwashing, cleaning, and shopping) | |||
|SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | |||
|2000-2024 | |||
|2026/03/11 | |||
|Proportion of time spent on unpaid domestic chores [Female] | |||
|SL_DOM_TSPDDC | |||
|- | |||
|LaborUnpdDomMale% | |||
|Average time men spend on provision of non-care-related services for household consumption (e.g. food preparation, dishwashing, cleaning, and shopping) | |||
|SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | |||
|2000-2024 | |||
|2026/03/11 | |||
|Proportion of time spent on unpaid domestic chores [Male] | |||
|SL_DOM_TSPDDC | |||
|- | |||
|LaborYouthInactive% | |||
|Proportion of youth not in education, employment or training (NEET), as a percentage of the total youth population | |||
|SDG 8.6.1 Proportion of youth (aged 15-24 years) not in education, employment or training | |||
|2000-2024 | |||
|2026/03/11 | |||
|Proportion of youth (aged 15-24 years) not in education, employment or training | |||
|SL_TLF_NEET | |||
|- | |||
|LaborYouthInactiveFemale% | |||
|Proportion of young females not in education, employment or training (NEET), as a percentage of the total youth population | |||
|SDG 8.6.1 Proportion of youth (aged 15-24 years) not in education, employment or training | |||
|2000-2024 | |||
|2026/03/11 | |||
|Proportion of youth (aged 15-24 years) not in education, employment or training | |||
|SL_TLF_NEET | |||
|- | |||
|LaborYouthInactiveMale% | |||
|Proportion of young males not in education, employment or training (NEET), as a percentage of the total youth population | |||
|SDG 8.6.1 Proportion of youth (aged 15-24 years) not in education, employment or training | |||
|2000-2024 | |||
|2026/03/11 | |||
|Proportion of youth (aged 15-24 years) not in education, employment or training | |||
|SL_TLF_NEET | |||
|- | |||
|PopFoodInsecFemale%FIES | |||
|Proportion of the female population that has experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | |||
|SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | |||
|2015-2023 | |||
|2026/03/11 | |||
|Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Female] | |||
|AG_PRD_FIESMS | |||
|- | |||
|PopFoodInsecMale%FIES | |||
|Proportion of the male population that has experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | |||
|SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | |||
|2015-2023 | |||
|2026/03/11 | |||
|Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Male] | |||
|AG_PRD_FIESMS | |||
|- | |||
|PopFoodInsecSevFemale%FIES | |||
|Proportion of the female population that has experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | |||
|SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | |||
|2015-2023 | |||
|2026/03/11 | |||
|Estimated prevalence of severe food insecurity in the population [Total Percent Female] | |||
|AG_PRD_FIESS | |||
|- | |||
|PopFoodInsecSevMale%FIES | |||
|Proportion of the male population that has experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | |||
|SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | |||
|2015-2023 | |||
|2026/03/11 | |||
|Estimated prevalence of severe food insecurity in the population [Total Percent Male] | |||
|AG_PRD_FIESS | |||
|- | |- | ||
| | |PopFoodInsecSevTotalFIES | ||
| | |Number of people who have experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | ||
|SDG | |SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | ||
| | |2015-2023 | ||
| | |2026/03/11 | ||
|Estimated number of population in severe food insecurity [Total Number] | |||
|AG_PRD_FIESSN | |||
|- | |- | ||
| | |PopFoodInsecTotal%FIES | ||
|Proportion of | |Proportion of the population that has experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | ||
|SDG | |SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | ||
| | |2015-2023 | ||
| | |2026/03/11 | ||
|Estimated prevalence of moderate or severe food insecurity in the population [Total Percent] | |||
|AG_PRD_FIESMS | |||
|- | |- | ||
| | |PopFoodInsecTotalFIES | ||
| | |Number of people who have experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | ||
|SDG | |SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | ||
| | |2015-2023 | ||
| | |2026/03/11 | ||
|Estimated number of population in moderate or severe food insecurity [Total Number] | |||
|AG_PRD_FIESMSN | |||
|- | |- | ||
| | |PopMarried15Fem20to24% | ||
|Proportion of | |Proportion of women aged 20-24 years who were married or in a union before age 15 | ||
|SDG | |SDG 5.3.2 Proportion of girls and women aged 15-49 years who have undergone female genital mutilation/cutting, by age | ||
|Proportion of | |2006-2024 | ||
| | |2026/03/11 | ||
|Proportion of women aged 20-24 years who were married by age 15 | |||
|SP_DYN_MRBF15 | |||
|- | |- | ||
| | |PopMarried18Fem20to24% | ||
|Proportion of | |Proportion of women aged 20-24 years who were married or in a union before age 18 | ||
|SDG | |SDG 5.3.2 Proportion of girls and women aged 15-49 years who have undergone female genital mutilation/cutting, by age | ||
|Proportion of | |2006-2024 | ||
| | |2026/03/11 | ||
|Proportion of women aged 20-24 years who were married by age 18 | |||
|SP_DYN_MRBF18 | |||
|- | |- | ||
| | |PopPrisonersUnsentenced% | ||
| | |Unsentenced detainees as a proportion of overall prison population | ||
|SDG | |SDG 16.3.2 Unsentenced detainees as a proportion of overall prison population | ||
| | |2001-2024 | ||
| | |2026/03/11 | ||
|Unsentenced detainees as a proportion of overall prison population | |||
|VC_PRS_UNSNT | |||
|- | |- | ||
| | |TransRoadFreight | ||
| | |The sum of the freight volumes reported for the air carriers in terms of metric tonnes of cargo respectively | ||
|SDG | |SDG 9.1.2 - Passenger and freight volumes, by mode of transport | ||
| | |2017-2022 | ||
| | |2026/03/11 | ||
|Freight volume (tonne kilometres), by road transport | |||
|IS_RDP_FRGVOL | |||
|- | |- | ||
| | |TransRoadPassengers | ||
| | |The sum of the passenger reported for the air carriers in terms of number of people respectively | ||
|SDG | |SDG 9.1.2 - Passenger and freight volumes, by mode of transport | ||
| | |2017-2022 | ||
| | |2026/03/11 | ||
|Passenger volume (passenger kilometres), by road transport | |||
|IS_RDP_PFVOL | |||
|- | |- | ||
| | |UniHealthCoverageIndex | ||
| | |Coverage of essential health services (Index) | ||
|SDG | |SDG 3.8.1 Coverage of essential health services | ||
| | |2000-2023 | ||
| | |2026/03/11 | ||
|Universal health coverage (UHC) service coverage index | |||
|SH_ACS_UNHC_25 | |||
|- | |- | ||
| | |UrbanPopulationSlums% | ||
| | |The proportion of urban population living in slums, informal settlements or inadequate housing as measured by proportion of urban population living in slums. | ||
|SDG | |SDG 11.1.1 Proportion of urban population living in slums, informal settlements or inadequate housing | ||
|Proportion of | |1999-2024 | ||
| | |2026/03/11 | ||
|Proportion of urban population living in slums, informal settlements or inadequate housing | |||
|EN_LND_SLUM | |||
|- | |- | ||
| | |WomManagerialSenMidUN% | ||
| | |The proportion of females in the total number of persons employed in senior and middle mangement positions | ||
|SDG | |SDG 5.5.2 Proportion of women in managerial positions | ||
|Proportion of | |2000-2024 | ||
| | |2026/03/11 | ||
|Proportion of women in senior and middle managment positions | |||
|IC_GEN_MGTN | |||
|- | |- | ||
| | |WomManagerialUN% | ||
| | |The proportion of females in the total number of persons employed in managerial positions | ||
|SDG | |SDG 5.5.2 Proportion of women in managerial positions | ||
|Proportion of | |2000-2024 | ||
| | |2026/03/11 | ||
|Proportion of women in managerial positions | |||
|IC_GEN_MGTL | |||
|- | |- | ||
| | |WomRepHealthDecision15to49% | ||
|Proportion of | |Proportion of women aged 15-49 years (married or in union) who make their own decisions on sexual relations, use of contraception, and reproductive healthcare | ||
|SDG | |SDG 5.6.1 Proportion of women aged 15-49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care | ||
| | |2006-2024 | ||
| | |2026/03/11 | ||
|Women who make their own informed decisions about sexual and reproductive matters [15 to 49] | |||
|SH_FPL_INFM | |||
|- | |- | ||
|IODvlpngCountryVotingFSB% | |IODvlpngCountryVotingFSB% | ||
| Line 688: | Line 914: | ||
|Proportion of voting rights of developing countries in the Financial Stability Board | |Proportion of voting rights of developing countries in the Financial Stability Board | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|IODvlpngCountryVotingIADB% | |IODvlpngCountryVotingIADB% | ||
| Line 694: | Line 922: | ||
|Proportion of voting rights of developing countries in the Inter-American Development Bank | |Proportion of voting rights of developing countries in the Inter-American Development Bank | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|IODvlpngCountryVotingIBRD% | |IODvlpngCountryVotingIBRD% | ||
| Line 700: | Line 930: | ||
|Voting rights of developing countries in the International Bank for Reconstruction and Development | |Voting rights of developing countries in the International Bank for Reconstruction and Development | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|IODvlpngCountryVotingIFC% | |IODvlpngCountryVotingIFC% | ||
| Line 706: | Line 938: | ||
|Proportion of voting rights of developing countries in the International Finance Corporation | |Proportion of voting rights of developing countries in the International Finance Corporation | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|IODvlpngCountryVotingIMF% | |IODvlpngCountryVotingIMF% | ||
| Line 712: | Line 946: | ||
|Proportion of voting rights of developing countries in the International Monetary Fund | |Proportion of voting rights of developing countries in the International Monetary Fund | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|IODvlpngCountryVotingUNEcoSoc% | |IODvlpngCountryVotingUNEcoSoc% | ||
| Line 718: | Line 954: | ||
|Proportion of voting rights of developing countries in the UN Economic and Social Council | |Proportion of voting rights of developing countries in the UN Economic and Social Council | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|IODvlpngCountryVotingUNGA% | |IODvlpngCountryVotingUNGA% | ||
| Line 724: | Line 962: | ||
|Proportion of voting rights of developing countries in the UN General Assembly | |Proportion of voting rights of developing countries in the UN General Assembly | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|IODvlpngCountryVotingUNSC% | |IODvlpngCountryVotingUNSC% | ||
| Line 730: | Line 970: | ||
|Proportion of voting rights of developing countries in the United Nations Security Council | |Proportion of voting rights of developing countries in the United Nations Security Council | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|IODvlpngCountryVotingWTO% | |IODvlpngCountryVotingWTO% | ||
| Line 736: | Line 978: | ||
|Proportion of voting rights of developing countries in the World Trade Organization | |Proportion of voting rights of developing countries in the World Trade Organization | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborChild% | |LaborChild% | ||
| Line 742: | Line 986: | ||
|Proportion of children aged 5-17 years engaged in labour (both sexes or no breakdown by sex) | |Proportion of children aged 5-17 years engaged in labour (both sexes or no breakdown by sex) | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborChildFemale% | |LaborChildFemale% | ||
| Line 748: | Line 994: | ||
|Proportion of children aged 5-17 years engaged in labour (Female) | |Proportion of children aged 5-17 years engaged in labour (Female) | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborChildMale% | |LaborChildMale% | ||
| Line 754: | Line 1,002: | ||
|Proportion of children aged 5-17 years engaged in labour (Male) | |Proportion of children aged 5-17 years engaged in labour (Male) | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborNumChild | |LaborNumChild | ||
| Line 760: | Line 1,010: | ||
|Number of children aged 5-17 years engaged in labour (both sexes or no breakdown by sex) | |Number of children aged 5-17 years engaged in labour (both sexes or no breakdown by sex) | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborNumFemale | |LaborNumFemale | ||
| Line 766: | Line 1,018: | ||
|Number of children aged 5-17 years engaged in labour (Female) | |Number of children aged 5-17 years engaged in labour (Female) | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborNumMale | |LaborNumMale | ||
| Line 772: | Line 1,026: | ||
|Number of children aged 5-17 years engaged in labour (Male) | |Number of children aged 5-17 years engaged in labour (Male) | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnemployedFemale15AndOver% | |LaborUnemployedFemale15AndOver% | ||
| Line 778: | Line 1,034: | ||
|Unemployment rate [Female - 15 years old and over] | |Unemployment rate [Female - 15 years old and over] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnemployedFemale15to24% | |LaborUnemployedFemale15to24% | ||
| Line 784: | Line 1,042: | ||
|Unemployment rate [Female - 15 to 24] | |Unemployment rate [Female - 15 to 24] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnemployedFemale25AndOver% | |LaborUnemployedFemale25AndOver% | ||
| Line 790: | Line 1,050: | ||
|Unemployment rate [Female - 25 years old and over] | |Unemployment rate [Female - 25 years old and over] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnemployedMale15AndOver% | |LaborUnemployedMale15AndOver% | ||
| Line 796: | Line 1,058: | ||
|Unemployment rate [Male - 15 years old and over] | |Unemployment rate [Male - 15 years old and over] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnemployedMale15to24% | |LaborUnemployedMale15to24% | ||
| Line 802: | Line 1,066: | ||
|Unemployment rate [Male - 15 to 24] | |Unemployment rate [Male - 15 to 24] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnemployedMale25AndOver% | |LaborUnemployedMale25AndOver% | ||
| Line 808: | Line 1,074: | ||
|Unemployment rate [Male - 25 years old and over] | |Unemployment rate [Male - 25 years old and over] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnemployedTotal15AndOver% | |LaborUnemployedTotal15AndOver% | ||
| Line 814: | Line 1,082: | ||
|Unemployment rate [Both sexes - 15 years old and over] | |Unemployment rate [Both sexes - 15 years old and over] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnemployedTotal15to24% | |LaborUnemployedTotal15to24% | ||
| Line 820: | Line 1,090: | ||
|Unemployment rate [Both sexes - 15 to 24] | |Unemployment rate [Both sexes - 15 to 24] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnemployedTotal25AndOver% | |LaborUnemployedTotal25AndOver% | ||
| Line 826: | Line 1,098: | ||
|Unemployment rate [Both sexes - 25 years old and over] | |Unemployment rate [Both sexes - 25 years old and over] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnpdCareFemale% | |LaborUnpdCareFemale% | ||
| Line 832: | Line 1,106: | ||
|Proportion of time spent on unpaid care work [Female] | |Proportion of time spent on unpaid care work [Female] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnpdCareMale% | |LaborUnpdCareMale% | ||
| Line 838: | Line 1,114: | ||
|Proportion of time spent on unpaid care work [Male] | |Proportion of time spent on unpaid care work [Male] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnpdDomCareFemale% | |LaborUnpdDomCareFemale% | ||
| Line 844: | Line 1,122: | ||
|Proportion of time spent on unpaid domestic and care work [Female] | |Proportion of time spent on unpaid domestic and care work [Female] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnpdDomCareMale% | |LaborUnpdDomCareMale% | ||
| Line 850: | Line 1,130: | ||
|Proportion of time spent on unpaid domestic and care work [Male] | |Proportion of time spent on unpaid domestic and care work [Male] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnpdDomFemale% | |LaborUnpdDomFemale% | ||
| Line 856: | Line 1,138: | ||
|Proportion of time spent on unpaid domestic chores [Female] | |Proportion of time spent on unpaid domestic chores [Female] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborUnpdDomMale% | |LaborUnpdDomMale% | ||
| Line 862: | Line 1,146: | ||
|Proportion of time spent on unpaid domestic chores [Male] | |Proportion of time spent on unpaid domestic chores [Male] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborYouthInactive% | |LaborYouthInactive% | ||
| Line 868: | Line 1,154: | ||
|Proportion of youth (aged 15-24 years) not in education, employment or training | |Proportion of youth (aged 15-24 years) not in education, employment or training | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborYouthInactiveFemale% | |LaborYouthInactiveFemale% | ||
| Line 874: | Line 1,162: | ||
|Proportion of youth (aged 15-24 years) not in education, employment or training | |Proportion of youth (aged 15-24 years) not in education, employment or training | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|LaborYouthInactiveMale% | |LaborYouthInactiveMale% | ||
| Line 880: | Line 1,170: | ||
|Proportion of youth (aged 15-24 years) not in education, employment or training | |Proportion of youth (aged 15-24 years) not in education, employment or training | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|ManufacturingPropEmploy% | |ManufacturingPropEmploy% | ||
| Line 886: | Line 1,178: | ||
|Manufacturing value added share in GDP at constant 2010 United States dollars | |Manufacturing value added share in GDP at constant 2010 United States dollars | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecFemale%FIES | |PopFoodInsecFemale%FIES | ||
| Line 892: | Line 1,186: | ||
|Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Female] | |Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Female] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecMale%FIES | |PopFoodInsecMale%FIES | ||
| Line 898: | Line 1,194: | ||
|Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Male] | |Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Male] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecRural%FIES | |PopFoodInsecRural%FIES | ||
| Line 904: | Line 1,202: | ||
|Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Rural] | |Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Rural] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecSevFemale%FIES | |PopFoodInsecSevFemale%FIES | ||
| Line 910: | Line 1,210: | ||
|Estimated prevalence of severe food insecurity in the population [Total Percent Female] | |Estimated prevalence of severe food insecurity in the population [Total Percent Female] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecSevFemaleFIES | |PopFoodInsecSevFemaleFIES | ||
| Line 916: | Line 1,218: | ||
|Estimated number of population in severe food insecurity [Total Number Female] | |Estimated number of population in severe food insecurity [Total Number Female] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecSevMale%FIES | |PopFoodInsecSevMale%FIES | ||
| Line 922: | Line 1,226: | ||
|Estimated prevalence of severe food insecurity in the population [Total Percent Male] | |Estimated prevalence of severe food insecurity in the population [Total Percent Male] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecSevMaleFIES | |PopFoodInsecSevMaleFIES | ||
| Line 928: | Line 1,234: | ||
|Estimated number of population in severe food insecurity [Total Number Male] | |Estimated number of population in severe food insecurity [Total Number Male] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecSevRural%FIES | |PopFoodInsecSevRural%FIES | ||
| Line 934: | Line 1,242: | ||
|Estimated prevalence of severe food insecurity in the population [Total Percent Rural] | |Estimated prevalence of severe food insecurity in the population [Total Percent Rural] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecSevRuralFIES | |PopFoodInsecSevRuralFIES | ||
| Line 940: | Line 1,250: | ||
|Estimated number of population in severe food insecurity [Total Number Rural] | |Estimated number of population in severe food insecurity [Total Number Rural] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecSevTotal%FIES | |PopFoodInsecSevTotal%FIES | ||
| Line 946: | Line 1,258: | ||
|Estimated prevalence of severe food insecurity in the population [Total Percent] | |Estimated prevalence of severe food insecurity in the population [Total Percent] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecSevTotalFIES | |PopFoodInsecSevTotalFIES | ||
| Line 952: | Line 1,266: | ||
|Estimated number of population in severe food insecurity [Total Number] | |Estimated number of population in severe food insecurity [Total Number] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecSevUrban%FIES | |PopFoodInsecSevUrban%FIES | ||
| Line 958: | Line 1,274: | ||
|Estimated prevalence of severe food insecurity in the population [Total Percent Urban] | |Estimated prevalence of severe food insecurity in the population [Total Percent Urban] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecSevUrbanFIES | |PopFoodInsecSevUrbanFIES | ||
| Line 964: | Line 1,282: | ||
|Estimated number of population in severe food insecurity [Total Number Urban] | |Estimated number of population in severe food insecurity [Total Number Urban] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecTotal%FIES | |PopFoodInsecTotal%FIES | ||
| Line 970: | Line 1,290: | ||
|Estimated prevalence of moderate or severe food insecurity in the population [Total Percent] | |Estimated prevalence of moderate or severe food insecurity in the population [Total Percent] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecTotalFIES | |PopFoodInsecTotalFIES | ||
| Line 976: | Line 1,298: | ||
|Estimated number of population in moderate or severe food insecurity [Total Number] | |Estimated number of population in moderate or severe food insecurity [Total Number] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopFoodInsecUrban%FIES | |PopFoodInsecUrban%FIES | ||
| Line 982: | Line 1,306: | ||
|Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Urban] | |Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Urban] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopHHFoodInsecSevTotalFIES | |PopHHFoodInsecSevTotalFIES | ||
| Line 988: | Line 1,314: | ||
|Estimated number living in HHs where one+ adult experienced severe food insecurity [Total Number] | |Estimated number living in HHs where one+ adult experienced severe food insecurity [Total Number] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopHHFoodInsecTotalFIES | |PopHHFoodInsecTotalFIES | ||
| Line 994: | Line 1,322: | ||
|Estimated number living in households where one+ adult experienced food insecurity [Total Number] | |Estimated number living in households where one+ adult experienced food insecurity [Total Number] | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopMarried15Fem20to24% | |PopMarried15Fem20to24% | ||
| Line 1,000: | Line 1,330: | ||
|Proportion of women aged 20-24 years who were married by age 15 | |Proportion of women aged 20-24 years who were married by age 15 | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopMarried18Fem20to24% | |PopMarried18Fem20to24% | ||
| Line 1,006: | Line 1,338: | ||
|Proportion of women aged 20-24 years who were married by age 18 | |Proportion of women aged 20-24 years who were married by age 18 | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopPrisonersUnsentenced% | |PopPrisonersUnsentenced% | ||
| Line 1,012: | Line 1,346: | ||
|Unsentenced detainees as a proportion of overall prison population | |Unsentenced detainees as a proportion of overall prison population | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|PopUrbanPopulationSlums | |PopUrbanPopulationSlums | ||
| Line 1,018: | Line 1,354: | ||
|Proportion of urban population living in slums, informal settlements or inadequate housing | |Proportion of urban population living in slums, informal settlements or inadequate housing | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|SanitationClearProcRural | |SanitationClearProcRural | ||
| Line 1,024: | Line 1,362: | ||
|Countries with clear procedures for participation in planning programs in sanitation | |Countries with clear procedures for participation in planning programs in sanitation | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|SanitationClearProcUrban | |SanitationClearProcUrban | ||
| Line 1,030: | Line 1,370: | ||
|Countries with clear procedures for participation in planning programs in sanitation | |Countries with clear procedures for participation in planning programs in sanitation | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|SanitationParticRural | |SanitationParticRural | ||
| Line 1,036: | Line 1,378: | ||
|The level of rural users/communities participating in planning programs in sanitation | |The level of rural users/communities participating in planning programs in sanitation | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|SanitationParticUrban | |SanitationParticUrban | ||
| Line 1,042: | Line 1,386: | ||
|The level of urban users/communities participating in planning programs in sanitation | |The level of urban users/communities participating in planning programs in sanitation | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|TransMailVolbyAir | |TransMailVolbyAir | ||
| Line 1,048: | Line 1,394: | ||
|Mail volume (tonne kilometres), by air transport | |Mail volume (tonne kilometres), by air transport | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|TransRoadFreight | |TransRoadFreight | ||
| Line 1,054: | Line 1,402: | ||
|Freight volume (tonne kilometres), by road transport | |Freight volume (tonne kilometres), by road transport | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|TransRoadPassengers | |TransRoadPassengers | ||
| Line 1,060: | Line 1,410: | ||
|Passenger volume (passenger kilometres), by road transport | |Passenger volume (passenger kilometres), by road transport | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|UniHealthCoverageIndex | |UniHealthCoverageIndex | ||
| Line 1,066: | Line 1,418: | ||
|Universal health coverage (UHC) service coverage index | |Universal health coverage (UHC) service coverage index | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|UrbanPopulationSlums% | |UrbanPopulationSlums% | ||
| Line 1,072: | Line 1,426: | ||
|Proportion of urban population living in slums, informal settlements or inadequate housing | |Proportion of urban population living in slums, informal settlements or inadequate housing | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|WomManagerialSenMidUN% | |WomManagerialSenMidUN% | ||
| Line 1,078: | Line 1,434: | ||
|Proportion of women in senior and middle managment positions | |Proportion of women in senior and middle managment positions | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|WomManagerialUN% | |WomManagerialUN% | ||
| Line 1,084: | Line 1,442: | ||
|Proportion of women in managerial positions | |Proportion of women in managerial positions | ||
|0 | |0 | ||
| | |||
| | |||
|- | |- | ||
|WomRepHealthDecision15to49% | |WomRepHealthDecision15to49% | ||
| Line 1,090: | Line 1,450: | ||
|Women who make their own informed decisions about sexual and reproductive matters [15 to 49] | |Women who make their own informed decisions about sexual and reproductive matters [15 to 49] | ||
|0 | |0 | ||
| | |||
| | |||
|} | |} | ||
Revision as of 18:54, 11 March 2026
Summary
SDG Global Database gives you access to data on more than 210 SDG indicators for countries, areas or regions across the globe.
Tables In IFs
| Variable | Definition | Ext Source Def | Years | Last IFs Update | Name in Source | Code in Source |
|---|---|---|---|---|---|---|
| AidDonEdScholar | Gross disbursements of total ODA from all donors for scholarships | SDG 4.b.1 Volume of official development assistance flows for scholarships by sector and type of study | 2006-2023 | 2026/03/11 | Total official flows for scholarships, by recipient | DC_TOF_SCHIPSL |
| AidHealthcareGross | Gross disbursements of total ODA from all donors to medical research and basic health sectors | SDG 3.b.2 Total gross official development assistance to medical research and basic health sectors | 2000-2023 | 2026/03/11 | Total gross official disbursements for medical research and basic heath sectors, by recipient | DC_TOF_HLTHL |
| AidHealthcareNet | Net disbursements of total ODA from all donors to medical research and basic health sectors | SDG 3.b.2 Total net official development assistance to medical research and basic health sectors | 2010-2023 | 2026/03/11 | Total net official disbursements for medical research and basic heath sectors, by recipient | DC_TOF_HLTHNT |
| AidTotFlowsAgSector | Total official flows (official development assistance plus other official flows) to the agriculture sector | SDG 2.a.2 Total official flows (official development assistance plus other official flows) to the agriculture sector | 2000-2023 | 2026/03/11 | Total official flows to the agriculture sector | DC_TOF_AGRL |
| AidTotalInfrastructure | Aid received for Infrastructure, total (energy, ICT, water and sanitation and roads) | SDG 9.a.1 - Total official international support (official development assistance plus other official flows) to infrastructure | 2000-2023 | 2026/03/11 | Total official flows for infrastructure, by recipient | DC_TOF_INFRAL |
| AidWaterSanitation | Amount of water and sanitation-related official development assistance that is part of a governmen tcoordinated spending plan | SDG 6.a.1 Amount of water- and sanitation- related official development assistance that is part of a government-coordinated spending plan | 2000-2023 | 2026/03/11 | Total official flows for water supply and sanitation, by recipient | DC_TOF_WASHL |
| AidforTradeCommitDonor | The gross commitments of total Official Development Assistance (ODA) from all donors for aid for trade | SDG 8.a.1 - Aid for Trade commitments and disbursements | 2006-2023 | 2026/03/11 | Total official flows commitments for Aid for Trade, by donor | DC_TOF_TRDCMDL |
| AidforTradeCommitRecipient | The gross commitments of total Official Development Assistance (ODA) from all recipients for aid for trade | SDG 8.a.1 - Aid for Trade commitments and disbursements | 2006-2023 | 2026/03/11 | Total official flows commitments for Aid for Trade, by recipient | DC_TOF_TRDDBML |
| AidforTradeDisburseDonor | The gross disbursements of total Official Development Assistance (ODA) from all donors for aid for trade | SDG 8.a.1 - Aid for Trade commitments and disbursements | 2006-2023 | 2026/03/11 | Total official flows disbursed for Aid for Trade, by donor | DC_TOF_TRDDBMDL |
| AidforTradeDisburseRecipient | The gross disbursements of total Official Development Assistance (ODA) from all recipients for aid for trade | SDG 8.a.1 - Aid for Trade commitments and disbursements | 2006-2023 | 2026/03/11 | Total official flows disbursed for Aid for Trade, by recipient | DC_TOF_TRDCML |
| AidtoDevelopingCountriesUSD | Dollar value of financial and technical assistance (including through North-South, South-South and triangular cooperation) committed to developing countries | SDG 17.9.1 Dollar value of financial and technical assistance (including through North-South, South-South and triangular cooperation) committed to developing countries | 2000-2023 | 2026/03/11 | Dollar value of financial and technical assistance committed to developing countries | DC_FTA_TOTAL |
| BankATMTotl | The number of automated teller machines (ATMs) per 100,000 adults | SDG 8.10.1 - (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adults | 2004-2023 | 2026/03/11 | Number of automated teller machines (ATMs) per 100,000 adults | FB_ATM_TOTL |
| BankActAdult% | The percentage of adults (ages 15+) who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months | SDG 8.10.2 - Proportion of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service provider | 2011-2022 | 2026/03/11 | Number of commerical bank branches per 100,000 adults | FB_BNK_ACCSS |
| BankBranchTotl | The number of commerical bank branches per 100,000 adults | SDG 8.10.1 - (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adults | 2004-2023 | 2026/03/11 | Number of commerical bank branches per 100,000 adults | FB_CBK_BRCH |
| BirthsRegisteredUnder5% | Proportion of children under 5 years of age whose births have been registered with a civil authority | SDG 16.9.1 Proportion of children under 5 years of age whose births have been registered with a civil authority, by age | 2006-2024 | 2026/03/11 | Proportion of children under 5 years of age whose births have been registered with a civil authority | SG_REG_BRTH |
| ComplianceParisPrinc | The compliance of existing national human rights institutions with the Principlesrelating to the Status of National Institutions | SDG 16.a.1: Existence of independent national human rights institutions in compliance with theParis Principles | 2000-2024 | 2026/03/11 | Existence ofindependent national human rights institutions in compliance with theParis Principles | SG_NHR_IMPL |
| EdPrePriOrgLearnFemale% | Percentage of female pre-primary children who participate in one or more organized learning programme, including programmes which offer a combination of education and care | SDG 4.2.2 Participation rate in organized learning (one year before the official primary entry age), by sex | 2000-2025 | 2026/03/11 | Participation rate in organized learning (one year before the official primary entry age) [Female] | SE_PRE_PARTN |
| EdPrePriOrgLearnMale% | Percentage of male pre-primary children who participate in one or more organized learning programme, including programmes which offer a combination of education and care | SDG 4.2.2 Participation rate in organized learning (one year before the official primary entry age), by sex | 2000-2025 | 2026/03/11 | Participation rate in organized learning (one year before the official primary entry age) [Male] | SE_PRE_PARTN |
| EdPrePriOrgLearnTotal% | Percentage of all pre-primary children who participate in one or more organized learning programme, including programmes which offer a combination of education and care | SDG 4.2.2 Participation rate in organized learning (one year before the official primary entry age), by sex | 2000-2025 | 2026/03/11 | Participation rate in organized learning (one year before the official primary entry age) [Total] | SE_PRE_PARTN |
| EdPrePriTeachTrainFemale% | Percentage of female pre-primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | 2000-2025 | 2026/03/11 | Proportion of teachers in pre-primary education with training [Female] | SE_TRA_GRDL |
| EdPrePriTeachTrainMale% | Percentage of male pre-primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | 2000-2025 | 2026/03/11 | Proportion of teachers in pre-primary education with training [Male] | SE_TRA_GRDL |
| EdPrePriTeachTrainTotal% | Percentage of all pre-primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | 2000-2025 | 2026/03/11 | Proportion of teachers in pre-primary education with training [Both Sexes] | SE_TRA_GRDL |
| EdPriTeachTrainFemale% | Percentage of female primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | 2000-2025 | 2026/03/11 | Proportion of teachers in primary education with training [Female] | SE_TRA_GRDL |
| EdPriTeachTrainMale% | Percentage of male primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | 2000-2025 | 2026/03/11 | Proportion of teachers in primary education with training [Male] | SE_TRA_GRDL |
| EdPriTeachTrainTotal% | Percentage of all primary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | 2000-2025 | 2026/03/11 | Proportion of teachers in primary education with training [Both Sexes] | SE_TRA_GRDL |
| EdSecLowerTeachTrainFemale% | Percentage of female lower secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | SDG 4.c.1 Proportion of teachers who have at least the minimum organized teacher training for teaching at the relevant level in a given country | 2000-2025 | 2026/03/11 | Proportion of teachers in lower secondary education with training [Female] | SE_TRA_GRDL |
| EdSecLowerTeachTrainMale% | Percentage of male lower secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | SDG 4.c.1 Proportion of teachers who have received at least the minimum organized teacher training for teaching (e.g. pedagogical training) pre-service or in-service for teaching at the relevant level in a given country | 2000-2025 | 2026/03/11 | Proportion of teachers in lower secondary education with training [Male] | SE_TRA_GRDL |
| EdSecLowerTeachTrainTotal% | Percentage of all lower secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | SDG 4.c.1 Proportion of teachers who have received at least the minimum organized teacher training for teaching (e.g. pedagogical training) pre-service or in-service for teaching at the relevant level in a given country | 2000-2025 | 2026/03/11 | Proportion of teachers in lower secondary education with training [Both Sexes] | SE_TRA_GRDL |
| EdSecUpperTeachTrainFemale% | Percentage of female upper secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | SDG 4.c.1 Proportion of teachers who have received at least the minimum organized teacher training for teaching (e.g. pedagogical training) pre-service or in-service for teaching at the relevant level in a given country | 2000-2025 | 2026/03/11 | Proportion of teachers in upper secondary with training [Female] | SE_TRA_GRDL |
| EdSecUpperTeachTrainMale% | Percentage of male upper secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | SDG 4.c.1 Proportion of teachers who have received at least the minimum organized teacher training for teaching (e.g. pedagogical training) pre-service or in-service for teaching at the relevant level in a given country | 2000-2025 | 2026/03/11 | Proportion of teachers in upper secondary with training [Male] | SE_TRA_GRDL |
| EdSecUpperTeachTrainTotal% | Percentage of all upper secondary teachers who have received at least the minimum organized pedagogical training required by the country to teach at that level | SDG 4.c.1 Proportion of teachers who have received at least the minimum organized teacher training for teaching (e.g. pedagogical training) pre-service or in-service for teaching at the relevant level in a given country | 2000-2025 | 2026/03/11 | Proportion of teachers in upper secondary with training [Both Sexes] | SE_TRA_GRDL |
| EnvBiodiversityAssistanceDonor | Total official development assistance for biodiversity, by donor | SDG 15.a.1 Official development assistance and public expenditure on conservation and sustainable use of biodiversity and ecosystems | 2002-2023 | 2026/03/11 | Total official development assistance for biodiversity, by donor | DC_ODA_BDVDL |
| EnvBiodiversityAssistanceRecipient | Total official development assistance for biodiversity, by recipient | SDG 15.a.1 Official development assistance and public expenditure on conservation and sustainable use of biodiversity and ecosystems | 2002-2023 | 2026/03/11 | Total official development assistance for biodiversity, by donor | DC_ODA_BDVL |
| EnvFuelClean% | Percentage of population with primary reliance on clean fuels and technology | SDG 7.1.2 Proportion of population with primary reliance on clean fuels and technology | 2000-2023 | 2026/03/11 | Proportion of population with primary reliance on clean fuels and technology | EG_EGY_CLEAN |
| EnvOrgCountryParticBasel% | Compliance with the Basel Convention on hazardous waste and other chemicals | SDG 12.4.1 Number of parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement" | 2026/03/11 | |||
| EnvOrgCountryParticMontreal% | Compliance with the Montreal Protocol on hazardous waste and other chemicals | SDG 12.4.1 Number of parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement" | 2026/03/11 | |||
| EnvOrgCountryParticRotterdam% | Compliance with the Rotterdam Convention on hazardous waste and other chemicals | SDG 12.4.1 Number of parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement" | 2015-2025 | 2026/03/11 | Compliance with the Rotterdam Convention on hazardous waste and other chemicals | SG_HAZ_CMRROTDAM |
| EnvOrgCountryParticStockholm% | Compliance with the Stockholm Convention on hazardous waste and other chemicals | SDG 12.4.1 Number of parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement" | 2015-2025 | 2026/03/11 | Compliance with the Stockholm Convention on hazardous waste and other chemicals | SG_HAZ_CMRSTHOLM |
| GDPEmpPersGrowthRate% | Annual growth rate of real GDP per employed person conveys the annual percentage change in real Gross Domestic Product per employed person. | SDG 8.2.1 Annual growth rate of real GDP per employed person | 2000-2024 | 2026/03/11 | Annual growth rate of real GDP per employed person | SL_EMP_PCAP |
| HealthConAlcohol | Harmful use of alcohol, defined according to the national context as alcohol per capita consumption (aged 15 years and older) within a calendar year in litres of pure alcohol | SDG 3.5.2 Harmful use of alcohol, defined according to the national context as alcohol per capita consumption (aged 15 years and older) within a calendar year in litres of pure alcohol | 2000-2022 | 2026/03/11 | Harmful use of alcohol, defined as alcohol per capita consumption in litres of pure alcohol | SH_ALC_CONSPT |
| HealthFGMFemale15to49% | The proportion of girls and women aged 15-49 years who have undergone female genital mutilation/cutting | SDG 5.3.1 Proportion of women aged 20-24 years who were married or in a union before age 15 and before age 18 | 2004-2023 | 2026/03/11 | Proportion of girls who have undergone FGM/C [15 to 49] | SH_STA_FGMS |
| HealthGBVFemale15to49% | Percentage of ever-partnered women and girls aged 15-49 years who have experienced physical, sexual or psychological violence by a current or former intimate partner, in the previous 12 months | SDG 5.2.1 Proportion of ever-partnered women and girls aged 15 years and older subjected to physical, sexual or psychological violence by a current or former intimate partner in the previous 12 months, by form of violence and by age | 2018-2018 | 2026/03/11 | Proportion of women and girls subjected to violence by a partner in the last 12 months [15 to 49] | VC_VAW_MARR |
| HealthMortAirPollutionAmbi | Crude death rate attributed to ambient air pollution | SDG 3.9.1 Mortality rate attributed to ambient air pollution | 2019-2019 | 2026/03/11 | Crude death rate attributed to ambient air pollution | SH_AAP_ASMORT |
| HealthMortAirPollutionHouse | Crude death rate attributed to household air pollution | SDG 3.9.1 Mortality rate attributed to household and pollution | 2019-2019 | 2026/03/11 | Crude death rate attributed to household air pollution | SH_HAP_ASMORT |
| HealthOccInjuriesFatFemale | The frequency rates of fatal occupational injuries among female employees | SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrat status | 2000-2023 | 2026/03/11 | Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status" | SL_EMP_FTLINJUR |
| HealthOccInjuriesFatMale | The frequency rates of fatal occupational injuries among male employees | SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | 2000-2023 | 2026/03/11 | Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | SL_EMP_FTLINJUR |
| HealthOccInjuriesFatTotal | The frequency rates of non-fatal occupational injuries among female employees | SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migran status | 2000-2023 | 2026/03/11 | Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status" | SL_EMP_INJUR |
| HealthOccInjuriesNonFatFemale | The frequency rates of fatal occupational injuries among total employees | SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | 2000-2023 | 2026/03/11 | Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | SL_EMP_INJUR |
| HealthOccInjuriesNonFatMale | The frequency rates of non-fatal occupational injuries among total employees | SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | 2000-2023 | 2026/03/11 | Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | SL_EMP_INJUR |
| HealthOccInjuriesNonFatTotal | The frequency rates of non-fatal occupational injuries among female employees | SDG 8.8.1 Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | 2000-2023 | 2026/03/11 | Frequency rates of fatal and non- fatal occupational injuries, by sex and migrant status | SL_EMP_FTLINJUR |
| HealthWrkrDensDentistry | Number of dentists, dental technician/assistants and related occupation personnel per 1,000 population | SDG 3.c.1 Health worker density and distribution | 2000-2023 | 2026/03/11 | Health worker density of dentistry personnel per 1,000 population | SH_MED_DEN |
| HealthWrkrDensNurseMW | Number of nursing and midwifery personnel per 1,000 population | SDG 3.c.1 Health worker density and distribution | 2000-2023 | 2026/03/11 | Health worker density of nursing and midwifery personnel per 1,000 population | SH_MED_DEN |
| HealthWrkrDensPharma | Number of pharmacists, pharmaceutical technicians/assistants and related occupation personnel per 1,000 population | SDG 3.c.1 Health worker density and distribution | 2000-2023 | 2026/03/11 | Health worker density of pharmaceutrical personnel per 1,000 population | SH_MED_DEN |
| HealthWrkrDensPhysician | Number of physicians, including generalists and specialist medical practitioners per 1,000 population | SDG 3.c.1 Health worker density and distribution | 2000-2023 | 2026/03/11 | Health worker density of physicians per 1,000 population | SH_MED_DEN |
| HealthcareTropDiseaseIntervention | Number of people requiring interventions against neglected tropical diseases | SDG 3.3.5 Number of people requiring interventions against neglected tropical diseases | 2010-2023 | 2026/03/11 | Number of people requiring interventions against neglected tropical diseases | SH_TRP_INTVN |
| ICTTelephoneMobileCov2g% | Proportion of population covered by a mobile network, by technology | SDG 9.c.1 Proportion of population covered by a mobile network, by technology | 2000-2023 | 2026/03/11 | Proportion of population covered by a mobile network, 2g | IT_MOB_2GNTWK |
| ICTTelephoneMobileCov3g% | Proportion of population covered by a mobile network, 3g | SDG 9.c.1 Proportion of population covered by a mobile network, by technology | 2007-2023 | 2026/03/11 | Proportion of population covered by a mobile network, 3g | IT_MOB_3GNTWK |
| ICTTelephoneMobileCov4g% | Proportion of population covered by a mobile network, 4g | SDG 9.c.1 Proportion of population covered by a mobile network, by technology | 2012-2023 | 2026/03/11 | Proportion of population covered by a mobile network, 4g | IT_MOB_4GNTWK |
| ICTTelephoneMobileOwnFemale% | The proportion of females who own a mobile telephone | SDG 5.b.1 Proportion of individuals who own a mobile telephone, by sex | 2013-2024 | 2026/03/11 | Proportion of individuals who own a mobile telephone [Female] | IT_MOB_OWN |
| ICTTelephoneMobileOwnMale% | The proportion of males who own a mobile telephone | SDG 5.b.1 Proportion of individuals who own a mobile telephone, by sex | 2013-2024 | 2026/03/11 | Proportion of individuals who own a mobile telephone [Male] | IT_MOB_OWN |
| ICTTelephoneMobileOwnTotal% | The proportion of individuals who own a mobile telephone | SDG 5.b.1 Proportion of individuals who own a mobile telephone, by sex | 2013-2024 | 2026/03/11 | Proportion of individuals who own a mobile telephone [Both sexes] | IT_MOB_OWN |
| IncBelow1D90c%Working15+Female | Percentage of females 15 and older living on less than $1.90 a day at 2011 international prices | SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | 2000-2019 | 2026/03/11 | Proportion of employed population below the poverty line of US$1.90 per day [15 and over Female] | SI_POV_EMP1 |
| IncBelow1D90c%Working15+Male | Percentage of males 15 and older living on less than $1.90 a day at 2011 international prices | SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | 2000-2019 | 2026/03/11 | Proportion of employed population below the poverty line of US$1.90 per day [15 and over Male] | SI_POV_EMP1 |
| IncBelow1D90c%Working15+Total | Percentage of people 15 and older living on less than $1.90 a day at 2011 international prices | SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | 2000-2022 | 2026/03/11 | Proportion of employed population below the poverty line of US$1.90 per day [15 and over Total] | SI_POV_EMP1 |
| IncBelow1D90c%Working15to24Female | Percentage of female 15 to 24 year olds living on less than $1.90 a day at 2011 international prices | SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | 2000-2019 | 2026/03/11 | Proportion of employed population below the poverty line of US$1.90 per day [15 to 24 Female] | SI_POV_EMP1 |
| IncBelow1D90c%Working15to24Male | Percentage of male 15 to 24 year olds living on less than $1.90 a day at 2011 international prices | SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | 2000-2019 | 2026/03/11 | Proportion of employed population below the poverty line of US$1.90 per day [15 to 24 Male] | SI_POV_EMP1 |
| IncBelow1D90c%Working15to24Total | Percentage of all 15 to 24 year olds living on less than $1.90 a day at 2011 international prices | SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | 2000-2019 | 2026/03/11 | Proportion of employed population below the poverty line of US$1.90 per day [15 to 24 Total] | SI_POV_EMP1 |
| IncBelow1D90c%Working25+Female | Percentage of females 25 and older living on less than $1.90 a day at 2011 international prices | SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | 2000-2019 | 2026/03/11 | Proportion of employed population below the poverty line of US$1.90 per day [25 and over Female] | SI_POV_EMP1 |
| IncBelow1D90c%Working25+Male | Percentage of males 25 and older living on less than $1.90 a day at 2011 international prices | SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | 2000-2019 | 2026/03/11 | Proportion of employed population below the poverty line of US$1.90 per day [25 and over Male] | SI_POV_EMP1 |
| IncBelow1D90c%Working25+Total | Percentage of people 25 and older living on less than $1.90 a day at 2011 international prices | SDG 1.1.1 Proportion of population below the international poverty line, by sex, age, employment status and geographical location (urban/rural) | 2000-2019 | 2026/03/11 | Proportion of employed population below the poverty line of US$1.90 per day [25 and over Total] | SI_POV_EMP1 |
| IncNatlPovertyTotal | Proportion of population living below the national poverty line, by sex and age; Total | SDG 1.2.1 Proportion of total population living below the national poverty line, by sex and age | 2000-2024 | 2026/03/11 | Proportion of total population living below the national poverty line | SI_POV_NAHC |
| IncNatlPovertyUrban | Proportion of population living below the national poverty line, by sex and age; Urban | SDG 1.2.1 Proportion of urban population living below the national poverty line, by sex and age | 2016-2023 | 2026/03/11 | Proportion of urban population living below the national poverty line | SI_POV_NAHC |
| IncomepercapitaGrowthLo40% | Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population | SDG 10.1.1 Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population and the total population | 2010-2024 | 2026/03/11 | Growth rates of household expenditure or income per capita among the bottom 40 per cent of pop | SI_HEI_TOTL |
| IncomepercapitaGrowthTotal% | Total growth rates of household expenditure or income per capita | SDG 10.1.1 Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population and the total population | 2010-2024 | 2026/03/11 | Growth rates of household expenditure or income per capita among the bottom 40 per cent of pop | SI_HEI_TOTL |
| LaborChild% | The number of children aged 5-17 years who are reported to have been engaged in child labour in the past week divided by the total number of children aged 5-17 in the population | SDG 8.7.1 - Proportion and number of children aged 5-17 years engaged in child labour, by sex and age | 2010-2023 | 2026/03/11 | Proportion of children aged 5-17 years engaged in labour (both sexes or no breakdown by sex) | SL_TLF_CHLDEA |
| LaborChildFemale% | The number of female children aged 5-17 years who are reported to have been engaged in child labour in the past week divided by the total number of children aged 5-17 in the population | SDG 8.7.1 - Proportion and number of children aged 5-17 years engaged in child labour, by sex and age | 2010-2023 | 2026/03/11 | Proportion of children aged 5-17 years engaged in labour (Female) | SL_TLF_CHLDEA |
| LaborChildMale% | The number of male children aged 5-17 years who are reported to have been engaged in child labour in the past week divided by the total number of children aged 5-17 in the population | SDG 8.7.1 - Proportion and number of children aged 5-17 years engaged in child labour, by sex and age | 2010-2023 | 2026/03/11 | Proportion of children aged 5-17 years engaged in labour (Male) | SL_TLF_CHLDEA |
| LaborUnemployedFemale15AndOver% | Percentage of the female labor force that is 15 years old and over and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | 2000-2024 | 2026/03/11 | Unemployment rate [Female - 15 years old and over] | SL_TLF_UEM |
| LaborUnemployedFemale15to24% | Percentage of the female labor force that is 15 to 24 years old and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | 2000-2024 | 2026/03/11 | Unemployment rate [Female - 15 to 24] | SL_TLF_UEM |
| LaborUnemployedFemale25AndOver% | Percentage of the female labor force that is 25 years old and over and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | 2000-2024 | 2026/03/11 | Unemployment rate [Female - 25 years old and over] | SL_TLF_UEM |
| LaborUnemployedMale15AndOver% | Percentage of the male labor force that is 15 years old and over and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | 2000-2024 | 2026/03/11 | Unemployment rate [Male - 15 years old and over] | SL_TLF_UEM |
| LaborUnemployedMale15to24% | Percentage of the male labor force that is 15 to 24 years old and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | 2000-2024 | 2026/03/11 | Unemployment rate [Male - 15 to 24] | SL_TLF_UEM |
| LaborUnemployedMale25AndOver% | Percentage of the male labor force that is over 25 years old and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | 2000-2024 | 2026/03/11 | Unemployment rate [Male - 25 years old and over] | SL_TLF_UEM |
| LaborUnemployedTotal15AndOver% | Percentage of the total labor force that is 15 years old and over and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | 2000-2024 | 2026/03/11 | Unemployment rate [Both sexes - 15 years old and over] | SL_TLF_UEM |
| LaborUnemployedTotal15to24% | Percentage of the total labor force that is 15 to 24 years old and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | 2000-2024 | 2026/03/11 | Unemployment rate [Both sexes - 15 to 24] | SL_TLF_UEM |
| LaborUnemployedTotal25AndOver% | Percentage of the total labor force that is 25 years old and over and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | 2000-2024 | 2026/03/11 | Unemployment rate [Both sexes - 25 years old and over] | SL_TLF_UEM |
| LaborUnpdCareFemale% | Average time women spend on household provision of care services (e.g. childcare and care of sick, elderly, or disabled household members) | SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | 2000-2024 | 2026/03/11 | Proportion of time spent on unpaid care work [Female] | SL_DOM_TSPDCW |
| LaborUnpdCareMale% | Average time men spend on household provision of care services (e.g. childcare and care of sick, elderly, or disabled household members) | SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | 2000-2024 | 2026/03/11 | Proportion of time spent on unpaid care work [Male] | SL_DOM_TSPDCW |
| LaborUnpdDomCareFemale% | Average time women spend on provision of services for household consumption (e.g. food preparation, dishwashing, cleaning, childcare, and care of sick or elderly household members) | SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | 2000-2024 | 2026/03/11 | Proportion of time spent on unpaid domestic and care work [Female] | SL_DOM_TSPD |
| LaborUnpdDomCareMale% | Average time men spend on provision of services for household consumption (e.g. food preparation, dishwashing, cleaning, childcare, and care of sick or elderly household members) | SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | 2000-2024 | 2026/03/11 | Proportion of time spent on unpaid domestic and care work [Male] | SL_DOM_TSPD |
| LaborUnpdDomFemale% | Average time women spend on provision of non-care-related services for household consumption (e.g. food preparation, dishwashing, cleaning, and shopping) | SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | 2000-2024 | 2026/03/11 | Proportion of time spent on unpaid domestic chores [Female] | SL_DOM_TSPDDC |
| LaborUnpdDomMale% | Average time men spend on provision of non-care-related services for household consumption (e.g. food preparation, dishwashing, cleaning, and shopping) | SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | 2000-2024 | 2026/03/11 | Proportion of time spent on unpaid domestic chores [Male] | SL_DOM_TSPDDC |
| LaborYouthInactive% | Proportion of youth not in education, employment or training (NEET), as a percentage of the total youth population | SDG 8.6.1 Proportion of youth (aged 15-24 years) not in education, employment or training | 2000-2024 | 2026/03/11 | Proportion of youth (aged 15-24 years) not in education, employment or training | SL_TLF_NEET |
| LaborYouthInactiveFemale% | Proportion of young females not in education, employment or training (NEET), as a percentage of the total youth population | SDG 8.6.1 Proportion of youth (aged 15-24 years) not in education, employment or training | 2000-2024 | 2026/03/11 | Proportion of youth (aged 15-24 years) not in education, employment or training | SL_TLF_NEET |
| LaborYouthInactiveMale% | Proportion of young males not in education, employment or training (NEET), as a percentage of the total youth population | SDG 8.6.1 Proportion of youth (aged 15-24 years) not in education, employment or training | 2000-2024 | 2026/03/11 | Proportion of youth (aged 15-24 years) not in education, employment or training | SL_TLF_NEET |
| PopFoodInsecFemale%FIES | Proportion of the female population that has experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | 2015-2023 | 2026/03/11 | Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Female] | AG_PRD_FIESMS |
| PopFoodInsecMale%FIES | Proportion of the male population that has experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | 2015-2023 | 2026/03/11 | Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Male] | AG_PRD_FIESMS |
| PopFoodInsecSevFemale%FIES | Proportion of the female population that has experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | 2015-2023 | 2026/03/11 | Estimated prevalence of severe food insecurity in the population [Total Percent Female] | AG_PRD_FIESS |
| PopFoodInsecSevMale%FIES | Proportion of the male population that has experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | 2015-2023 | 2026/03/11 | Estimated prevalence of severe food insecurity in the population [Total Percent Male] | AG_PRD_FIESS |
| PopFoodInsecSevTotalFIES | Number of people who have experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | 2015-2023 | 2026/03/11 | Estimated number of population in severe food insecurity [Total Number] | AG_PRD_FIESSN |
| PopFoodInsecTotal%FIES | Proportion of the population that has experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | 2015-2023 | 2026/03/11 | Estimated prevalence of moderate or severe food insecurity in the population [Total Percent] | AG_PRD_FIESMS |
| PopFoodInsecTotalFIES | Number of people who have experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | 2015-2023 | 2026/03/11 | Estimated number of population in moderate or severe food insecurity [Total Number] | AG_PRD_FIESMSN |
| PopMarried15Fem20to24% | Proportion of women aged 20-24 years who were married or in a union before age 15 | SDG 5.3.2 Proportion of girls and women aged 15-49 years who have undergone female genital mutilation/cutting, by age | 2006-2024 | 2026/03/11 | Proportion of women aged 20-24 years who were married by age 15 | SP_DYN_MRBF15 |
| PopMarried18Fem20to24% | Proportion of women aged 20-24 years who were married or in a union before age 18 | SDG 5.3.2 Proportion of girls and women aged 15-49 years who have undergone female genital mutilation/cutting, by age | 2006-2024 | 2026/03/11 | Proportion of women aged 20-24 years who were married by age 18 | SP_DYN_MRBF18 |
| PopPrisonersUnsentenced% | Unsentenced detainees as a proportion of overall prison population | SDG 16.3.2 Unsentenced detainees as a proportion of overall prison population | 2001-2024 | 2026/03/11 | Unsentenced detainees as a proportion of overall prison population | VC_PRS_UNSNT |
| TransRoadFreight | The sum of the freight volumes reported for the air carriers in terms of metric tonnes of cargo respectively | SDG 9.1.2 - Passenger and freight volumes, by mode of transport | 2017-2022 | 2026/03/11 | Freight volume (tonne kilometres), by road transport | IS_RDP_FRGVOL |
| TransRoadPassengers | The sum of the passenger reported for the air carriers in terms of number of people respectively | SDG 9.1.2 - Passenger and freight volumes, by mode of transport | 2017-2022 | 2026/03/11 | Passenger volume (passenger kilometres), by road transport | IS_RDP_PFVOL |
| UniHealthCoverageIndex | Coverage of essential health services (Index) | SDG 3.8.1 Coverage of essential health services | 2000-2023 | 2026/03/11 | Universal health coverage (UHC) service coverage index | SH_ACS_UNHC_25 |
| UrbanPopulationSlums% | The proportion of urban population living in slums, informal settlements or inadequate housing as measured by proportion of urban population living in slums. | SDG 11.1.1 Proportion of urban population living in slums, informal settlements or inadequate housing | 1999-2024 | 2026/03/11 | Proportion of urban population living in slums, informal settlements or inadequate housing | EN_LND_SLUM |
| WomManagerialSenMidUN% | The proportion of females in the total number of persons employed in senior and middle mangement positions | SDG 5.5.2 Proportion of women in managerial positions | 2000-2024 | 2026/03/11 | Proportion of women in senior and middle managment positions | IC_GEN_MGTN |
| WomManagerialUN% | The proportion of females in the total number of persons employed in managerial positions | SDG 5.5.2 Proportion of women in managerial positions | 2000-2024 | 2026/03/11 | Proportion of women in managerial positions | IC_GEN_MGTL |
| WomRepHealthDecision15to49% | Proportion of women aged 15-49 years (married or in union) who make their own decisions on sexual relations, use of contraception, and reproductive healthcare | SDG 5.6.1 Proportion of women aged 15-49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care | 2006-2024 | 2026/03/11 | Women who make their own informed decisions about sexual and reproductive matters [15 to 49] | SH_FPL_INFM |
| IODvlpngCountryVotingFSB% | Proportion of voting rights of developing countries in the Financial Stability Board | SDG 10.6.1 Proportion of members and voting rights of developing countries in international organizations | Proportion of voting rights of developing countries in the Financial Stability Board | 0 | ||
| IODvlpngCountryVotingIADB% | Proportion of voting rights of developing countries in the Inter-American Development Bank | SDG 10.6.1 Proportion of members and voting rights of developing countries in international organizations | Proportion of voting rights of developing countries in the Inter-American Development Bank | 0 | ||
| IODvlpngCountryVotingIBRD% | Proportion of voting rights of developing countries in the International Bank for Reconstruction and Development | SDG 10.6.1 Proportion of members and voting rights of developing countries in international organizations | Voting rights of developing countries in the International Bank for Reconstruction and Development | 0 | ||
| IODvlpngCountryVotingIFC% | Proportion of voting rights of developing countries in the International Finance Corporation | SDG 10.6.1 Proportion of members and voting rights of developing countries in international organizations | Proportion of voting rights of developing countries in the International Finance Corporation | 0 | ||
| IODvlpngCountryVotingIMF% | Proportion of voting rights of developing countries in the International Monetary Fund | SDG 10.6.1 Proportion of members and voting rights of developing countries in international organizations | Proportion of voting rights of developing countries in the International Monetary Fund | 0 | ||
| IODvlpngCountryVotingUNEcoSoc% | Proportion of voting rights of developing countries in the UN Economic and Social Council | SDG 10.6.1 Proportion of members and voting rights of developing countries in international organizations | Proportion of voting rights of developing countries in the UN Economic and Social Council | 0 | ||
| IODvlpngCountryVotingUNGA% | Proportion of voting rights of developing countries in the United Nations General Assembly | SDG 10.6.1 Proportion of members and voting rights of developing countries in international organizations | Proportion of voting rights of developing countries in the UN General Assembly | 0 | ||
| IODvlpngCountryVotingUNSC% | Proportion of voting rights of developing countries in the United Nations Security Council | SDG 10.6.1 Proportion of members and voting rights of developing countries in international organizations | Proportion of voting rights of developing countries in the United Nations Security Council | 0 | ||
| IODvlpngCountryVotingWTO% | Proportion of voting rights of developing countries in the World Trade Organization | SDG 10.6.1 Proportion of members and voting rights of developing countries in international organizations | Proportion of voting rights of developing countries in the World Trade Organization | 0 | ||
| LaborChild% | The number of children aged 5-17 years who are reported to have been engaged in child labour in the past week divided by the total number of children aged 5-17 in the population | SDG 8.7.1 - Proportion and number of children aged 5-17 years engaged in child labour, by sex and age | Proportion of children aged 5-17 years engaged in labour (both sexes or no breakdown by sex) | 0 | ||
| LaborChildFemale% | The number of female children aged 5-17 years who are reported to have been engaged in child labour in the past week divided by the total number of children aged 5-17 in the population | SDG 8.7.1 - Proportion and number of children aged 5-17 years engaged in child labour, by sex and age | Proportion of children aged 5-17 years engaged in labour (Female) | 0 | ||
| LaborChildMale% | The number of male children aged 5-17 years who are reported to have been engaged in child labour in the past week divided by the total number of children aged 5-17 in the population | SDG 8.7.1 - Proportion and number of children aged 5-17 years engaged in child labour, by sex and age | Proportion of children aged 5-17 years engaged in labour (Male) | 0 | ||
| LaborNumChild | The number of children aged 5-17 years who are reported to have been engaged in child labour in the past week divided by the total number of children aged 5-17 in the population | SDG 8.7.1 - Proportion and number of children aged 5-17 years engaged in child labour, by sex and age | Number of children aged 5-17 years engaged in labour (both sexes or no breakdown by sex) | 0 | ||
| LaborNumFemale | The number of female children aged 5-17 years who are reported to have been engaged in child labour in the past week divided by the total number of children aged 5-17 in the population | SDG 8.7.1 - Proportion and number of children aged 5-17 years engaged in child labour, by sex and age | Number of children aged 5-17 years engaged in labour (Female) | 0 | ||
| LaborNumMale | The number of male children aged 5-17 years who are reported to have been engaged in child labour in the past week divided by the total number of children aged 5-17 in the population | SDG 8.7.1 - Proportion and number of children aged 5-17 years engaged in child labour, by sex and age | Number of children aged 5-17 years engaged in labour (Male) | 0 | ||
| LaborUnemployedFemale15AndOver% | Percentage of the female labor force that is 15 years old and over and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | Unemployment rate [Female - 15 years old and over] | 0 | ||
| LaborUnemployedFemale15to24% | Percentage of the female labor force that is 15 to 24 years old and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | Unemployment rate [Female - 15 to 24] | 0 | ||
| LaborUnemployedFemale25AndOver% | Percentage of the female labor force that is 25 years old and over and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | Unemployment rate [Female - 25 years old and over] | 0 | ||
| LaborUnemployedMale15AndOver% | Percentage of the male labor force that is 15 years old and over and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | Unemployment rate [Male - 15 years old and over] | 0 | ||
| LaborUnemployedMale15to24% | Percentage of the male labor force that is 15 to 24 years old and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | Unemployment rate [Male - 15 to 24] | 0 | ||
| LaborUnemployedMale25AndOver% | Percentage of the male labor force that is over 25 years old and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | Unemployment rate [Male - 25 years old and over] | 0 | ||
| LaborUnemployedTotal15AndOver% | Percentage of the total labor force that is 15 years old and over and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | Unemployment rate [Both sexes - 15 years old and over] | 0 | ||
| LaborUnemployedTotal15to24% | Percentage of the total labor force that is 15 to 24 years old and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | Unemployment rate [Both sexes - 15 to 24] | 0 | ||
| LaborUnemployedTotal25AndOver% | Percentage of the total labor force that is 25 years old and over and unemployed | SDG 8.5.2 Unemployment rate, by sex, age and persons with disabilities | Unemployment rate [Both sexes - 25 years old and over] | 0 | ||
| LaborUnpdCareFemale% | Average time women spend on household provision of care services (e.g. childcare and care of sick, elderly, or disabled household members) | SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | Proportion of time spent on unpaid care work [Female] | 0 | ||
| LaborUnpdCareMale% | Average time men spend on household provision of care services (e.g. childcare and care of sick, elderly, or disabled household members) | SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | Proportion of time spent on unpaid care work [Male] | 0 | ||
| LaborUnpdDomCareFemale% | Average time women spend on provision of services for household consumption (e.g. food preparation, dishwashing, cleaning, childcare, and care of sick or elderly household members) | SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | Proportion of time spent on unpaid domestic and care work [Female] | 0 | ||
| LaborUnpdDomCareMale% | Average time men spend on provision of services for household consumption (e.g. food preparation, dishwashing, cleaning, childcare, and care of sick or elderly household members) | SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | Proportion of time spent on unpaid domestic and care work [Male] | 0 | ||
| LaborUnpdDomFemale% | Average time women spend on provision of non-care-related services for household consumption (e.g. food preparation, dishwashing, cleaning, and shopping) | SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | Proportion of time spent on unpaid domestic chores [Female] | 0 | ||
| LaborUnpdDomMale% | Average time men spend on provision of non-care-related services for household consumption (e.g. food preparation, dishwashing, cleaning, and shopping) | SDG 5.4.1 Proportion of time spent on unpaid domestic and care work, by sex, age and location | Proportion of time spent on unpaid domestic chores [Male] | 0 | ||
| LaborYouthInactive% | Proportion of youth not in education, employment or training (NEET), as a percentage of the total youth population | SDG 8.6.1 Proportion of youth (aged 15-24 years) not in education, employment or training | Proportion of youth (aged 15-24 years) not in education, employment or training | 0 | ||
| LaborYouthInactiveFemale% | Proportion of young females not in education, employment or training (NEET), as a percentage of the total youth population | SDG 8.6.1 Proportion of youth (aged 15-24 years) not in education, employment or training | Proportion of youth (aged 15-24 years) not in education, employment or training | 0 | ||
| LaborYouthInactiveMale% | Proportion of young males not in education, employment or training (NEET), as a percentage of the total youth population | SDG 8.6.1 Proportion of youth (aged 15-24 years) not in education, employment or training | Proportion of youth (aged 15-24 years) not in education, employment or training | 0 | ||
| ManufacturingPropEmploy% | The share of manufacturing employment in total employment | SDG 9.2.2 - Manufacturing employment as a proportion of total employment | Manufacturing value added share in GDP at constant 2010 United States dollars | 0 | ||
| PopFoodInsecFemale%FIES | Proportion of the female population that has experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Female] | 0 | ||
| PopFoodInsecMale%FIES | Proportion of the male population that has experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Male] | 0 | ||
| PopFoodInsecRural%FIES | Proportion of the rural population that has experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Rural] | 0 | ||
| PopFoodInsecSevFemale%FIES | Proportion of the female population that has experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated prevalence of severe food insecurity in the population [Total Percent Female] | 0 | ||
| PopFoodInsecSevFemaleFIES | Number of females who have experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated number of population in severe food insecurity [Total Number Female] | 0 | ||
| PopFoodInsecSevMale%FIES | Proportion of the male population that has experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated prevalence of severe food insecurity in the population [Total Percent Male] | 0 | ||
| PopFoodInsecSevMaleFIES | Number of males who have experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated number of population in severe food insecurity [Total Number Male] | 0 | ||
| PopFoodInsecSevRural%FIES | Proportion of the rural population that has experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated prevalence of severe food insecurity in the population [Total Percent Rural] | 0 | ||
| PopFoodInsecSevRuralFIES | Number of people in rural areas who have experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated number of population in severe food insecurity [Total Number Rural] | 0 | ||
| PopFoodInsecSevTotal%FIES | Proportion of the population that has experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated prevalence of severe food insecurity in the population [Total Percent] | 0 | ||
| PopFoodInsecSevTotalFIES | Number of people who have experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated number of population in severe food insecurity [Total Number] | 0 | ||
| PopFoodInsecSevUrban%FIES | Proportion of the urban population that has experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated prevalence of severe food insecurity in the population [Total Percent Urban] | 0 | ||
| PopFoodInsecSevUrbanFIES | Number of people in urban areas who have experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated number of population in severe food insecurity [Total Number Urban] | 0 | ||
| PopFoodInsecTotal%FIES | Proportion of the population that has experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated prevalence of moderate or severe food insecurity in the population [Total Percent] | 0 | ||
| PopFoodInsecTotalFIES | Number of people who have experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated number of population in moderate or severe food insecurity [Total Number] | 0 | ||
| PopFoodInsecUrban%FIES | Proportion of the urban population that has experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated prevalence of moderate or severe food insecurity in the population [Total Percent Urban] | 0 | ||
| PopHHFoodInsecSevTotalFIES | Number of people living in households where at least one adult experienced severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated number living in HHs where one+ adult experienced severe food insecurity [Total Number] | 0 | ||
| PopHHFoodInsecTotalFIES | Number of people living in households where at least one adult experienced moderate or severe food insecurity in the last year as measured on the Food Insecurity Experience Scale | SDG 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES) | Estimated number living in households where one+ adult experienced food insecurity [Total Number] | 0 | ||
| PopMarried15Fem20to24% | Proportion of women aged 20-24 years who were married or in a union before age 15 | SDG 5.3.2 Proportion of girls and women aged 15-49 years who have undergone female genital mutilation/cutting, by age | Proportion of women aged 20-24 years who were married by age 15 | 0 | ||
| PopMarried18Fem20to24% | Proportion of women aged 20-24 years who were married or in a union before age 18 | SDG 5.3.2 Proportion of girls and women aged 15-49 years who have undergone female genital mutilation/cutting, by age | Proportion of women aged 20-24 years who were married by age 18 | 0 | ||
| PopPrisonersUnsentenced% | Unsentenced detainees as a proportion of overall prison population | SDG 16.3.2 Unsentenced detainees as a proportion of overall prison population | Unsentenced detainees as a proportion of overall prison population | 0 | ||
| PopUrbanPopulationSlums | The number of urban population living in slums, informal settlements or inadequate housing as measured by proportion of urban population living in slums. | SDG 11.1.1 Proportion of urban population living in slums, informal settlements or inadequate housing | Proportion of urban population living in slums, informal settlements or inadequate housing | 0 | ||
| SanitationClearProcRural | Countries with clearly defined procedures in law or policy for participation by service users/communities in planning program in sanitation (Rural) | SDG 6.b.1 Proportion of local administrative units with established and operational policies and procedures for participation of local communities in water and sanitation management | Countries with clear procedures for participation in planning programs in sanitation | 0 | ||
| SanitationClearProcUrban | Countries with clearly defined procedures in law or policy for participation by service users/communities in planning program in sanitation (Urban) | SDG 6.b.1 Proportion of local administrative units with established and operational policies and procedures for participation of local communities in water and sanitation management | Countries with clear procedures for participation in planning programs in sanitation | 0 | ||
| SanitationParticRural | The level of rural users/communities participating in planning programs in sanitation | SDG 6.b.1 Proportion of local administrative units with established and operational policies and procedures for participation of local communities in water and sanitation management | The level of rural users/communities participating in planning programs in sanitation | 0 | ||
| SanitationParticUrban | The level of urban users/communities participating in planning programs in sanitation | SDG 6.b.1 Proportion of local administrative units with established and operational policies and procedures for participation of local communities in water and sanitation management | The level of urban users/communities participating in planning programs in sanitation | 0 | ||
| TransMailVolbyAir | The volume of mail carried by air transport | SDG 9.1.2 - Passenger and freight volumes, by mode of transport | Mail volume (tonne kilometres), by air transport | 0 | ||
| TransRoadFreight | The sum of the freight volumes reported for the air carriers in terms of metric tonnes of cargo respectively | SDG 9.1.2 - Passenger and freight volumes, by mode of transport | Freight volume (tonne kilometres), by road transport | 0 | ||
| TransRoadPassengers | The sum of the passenger reported for the air carriers in terms of number of people respectively | SDG 9.1.2 - Passenger and freight volumes, by mode of transport | Passenger volume (passenger kilometres), by road transport | 0 | ||
| UniHealthCoverageIndex | Coverage of essential health services (Index) | SDG 3.8.1 Coverage of essential health services | Universal health coverage (UHC) service coverage index | 0 | ||
| UrbanPopulationSlums% | The proportion of urban population living in slums, informal settlements or inadequate housing as measured by proportion of urban population living in slums. | SDG 11.1.1 Proportion of urban population living in slums, informal settlements or inadequate housing | Proportion of urban population living in slums, informal settlements or inadequate housing | 0 | ||
| WomManagerialSenMidUN% | The proportion of females in the total number of persons employed in senior and middle mangement positions | SDG 5.5.2 Proportion of women in managerial positions | Proportion of women in senior and middle managment positions | 0 | ||
| WomManagerialUN% | The proportion of females in the total number of persons employed in managerial positions | SDG 5.5.2 Proportion of women in managerial positions | Proportion of women in managerial positions | 0 | ||
| WomRepHealthDecision15to49% | Proportion of women aged 15-49 years (married or in union) who make their own decisions on sexual relations, use of contraception, and reproductive healthcare | SDG 5.6.1 Proportion of women aged 15-49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care | Women who make their own informed decisions about sexual and reproductive matters [15 to 49] | 0 |
Data Pulling Instructions
- Navigate to https://unstats.un.org/sdgs/dataportal
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OR
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- Select the SDG indicators found in Ext Source Def
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- Select all years in Period
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