United Nation SDG Indicators Global Database (UNSDG)

From Pardee Wiki
Revision as of 19:01, 11 March 2026 by Norah.Shamin (talk | contribs) (Tables In IFs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

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" 2015-2025 2026/03/11 Compliance with the Basel Convention on hazardous waste and other chemicals SG_HAZ_CMRBASEL
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" 2015-2025 2026/03/11 Compliance with the Montreal Protocol on hazardous waste and other chemicals SG_HAZ_CMRMNTRL
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

Data Pulling Instructions

  1. Navigate to https://unstats.un.org/sdgs/dataportal
  2. Click the search bar and look up each indicator listed in Name in Source

OR

  1. Navigate to https://unstats.un.org/sdgs/dataportal/database
  2. Select the SDG indicators found in Ext Source Def
  3. Select Countries or areas and select all of them
  4. Select all years in Period
  5. Download

OR

  1. For a bulk download go to navigate https://unstats.un.org/sdgs/indicators/database/archive

Data Notes

You can use this Github repo to pull this data.