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id ▲ | name | description | createdAt | updatedAt | datasetId | additionalInfo | link | dataPublishedBy |
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21921 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of countries with systems to track and make public allocations for gender equality and women's empowerment (%) \n \n Variable code: SG_GEN_EQPWN \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-0c-01.pdf \n \n Detailed sources: Data are derived from country reporting on 13 binary questions on questionnaire, collected through the Global Partneship for Effective Development Cooperation", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of countries with systems to track and make public allocations for gender equality and women's empowerment (%) Variable code: SG_GEN_EQPWN Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-0c-01.pdf Detailed sources: Data are derived from country reporting on 13 binary questions on questionnaire, collected through the Global Partneship for Effective Development Cooperation | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21920 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of individuals who own a mobile telephone, by sex (%) \n \n Variable code: IT_MOB_OWN \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-0b-01.pdf \n \n Detailed sources: NSIA Ministry of Post, Telecommunications, Technologies and Digital State Statistical Committee of the Republic of Azerbaijan State Statistical Committee Information and E-Government Authority Telecommunications Regulatory Authority (TRA) Bangladesh Bureau of Statistics Bangladesh Bureau of Statistics(BBS) The Statistical Committee of the Republic of Armenia Brazilian Internet Steering Committee Brazilian Institute of Geography and Statistics NIC.br Telecommunications Regulatory Commission Authority for Info-communications Technology Industry of Brunei Darussalam Central Statistical Organization Institut de Statistiques et d'tudes Economiques National Statistical Committee of the Republic of Belarus (Belstat) \u041d\u0430\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043a\u043e\u043c\u0438\u0442\u0435\u0442 \u0420\u0435\u0441\u043f\u0443\u0431\u043b\u0438\u043a\u0438 \u0411\u0435\u043b\u0430\u0440\u0443\u0441\u044c National Institute of Statistics Institut National de la Statistique Instituto Nacional de Estat\u00edstica INSTITUTO NACIONAL DE ESTATISTICA Subsecretar\u00eda de Telecomunicaciones National Communications Commission National Bureau of Statistics of China Departamento Administrativo Nacional de Estadistica (DANE) MICS 2018 Instituto Nacional de Estadisticas y Censos Oficina Nacional de Estadisticas e Informacion Oficina Nacional de Estadisticas e Informacion Statistical Service of Cyprus Czech Statistical Office Statistics Denmark Oficina Nacional de Estadistica National Bureau of Statistics Instituto Nacional de Estadistica y Censos Direccion General de Estadistica y Censos Ministry of Communications and Information Technology Statistics Finland INSEE Direction de la Statistique et des Etudes D\u00e9mographiques National Statistics Office of Georgia National Statistics Office of Georgia - Geostat Palestinian Central Bureau of Statistics MICS 2019 Central Statistical Office Institut Haitien de Statistique et d'nformatique Census and Statistics Department BPS-Statistics Indonesia BADAN PUSAT STATISTIK (STATISTICS INDONESIA) Statistical Centre of Iran (SCI) Communications and Media Commission Central Statistics Office Central Bureau of Statistics Istat/ Italian National Institute of Statistics ARTCI Statistical Institute of Jamaica Ministry of Internal Affairs and Communications Committee on Statistics, Ministry of National Economy of the Republic of Kazakhstan Ministry of National Economy of the Republic of Kazakhstan\nCommittee on Statistics KENYA NATIONAL BUREAU OF STATISTICS Kenya National Bureau of Statistics Ministry of Science, ICT and Future Planning Ministry of Science and ICT Ministriy of Sceience and ICT(MSIT) Communication and Information Technology Regulatory Authority MICS 2017 LCA Statistics Lithuania ITU Statistics and Census Service Department of Statistics Department of Statistics, Malaysia Statistics Mauritius Instituto Nacional de Estad\u00edstica y Geograf\u00eda (INEGI) National Statistical Office of Mongolia Agence Nationale de R\u00e9glementation des T\u00e9l\u00e9communications Direction de la Statistique INSTITTO NACIONAL DE ESTATISTICA, INE Information Technology Authority (ITA) Ministry of Transport, Communications and Information Technology Statistics Netherlands Minist\u00e8re des Postes, des T\u00e9l\u00e9communications et de l'Economie Num\u00e9rique National Bureau of Statistics (NBS) Statistics Norway Pakistan Bureau of Statistics Instituto Nacional de Estadistica e Informatica Instituto Nacional de Estad\u00edstica e Inform\u00e1tica - INEI Office of the National Statistician, Philippine Statistics Authority Ministry of Transport and Communications Federal State Statistics Service of the Russian Federation Federal State Statistics Service (Rosstat) Statistical Office Communications & IT Commission Communications andI nformation Technology Commision Statistical Office of the Republic of Serbia Infocomm Media Development Authority Statistical Office of the Republic of Slovenia Statistical Office of the Republic of Slovenia Statistics South Africa Instituto Nacional de Estadistica National Statistical Office Institut national de la statistique et des \u00e9tudes \u00e9conomiques et d\u00e9mographiques Telecommunications Regulatory Authority Federal Competitiveness and Statistics Authorithy Telecommunication Regulatory Authority State Statistics Service of Ukraine National Bureau of Statistics\r\n National Bureau of Statistics\r\n\r\nNational Bureau of Statistics\r\n National Bureau of Statistics\r\n\r\n I.N.E State Committee of the Republic of Uzbekistan on Statistics ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of individuals who own a mobile telephone, by sex (%) Variable code: IT_MOB_OWN Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-0b-01.pdf Detailed sources: NSIA Ministry of Post, Telecommunications, Technologies and Digital State Statistical Committee of the Republic of Azerbaijan State Statistical Committee Information and E-Government Authority Telecommunications Regulatory Authority (TRA) Bangladesh Bureau of Statistics Bangladesh Bureau of Statistics(BBS) The Statistical Committee of the Republic of Armenia Brazilian Internet Steering Committee Brazilian Institute of Geography and Statistics NIC.br Telecommunications Regulatory Commission Authority for Info-communications Technology Industry of Brunei Darussalam Central Statistical Organization Institut de Statistiques et d'tudes Economiques National Statistical Committee of the Republic of Belarus (Belstat) Национальный статистический комитет Республики Беларусь National Institute of Statistics Institut National de la Statistique Instituto Nacional de Estatística INSTITUTO NACIONAL DE ESTATISTICA Subsecretaría de Telecomunicaciones National Communications Commission National Bureau of Statistics of China Departamento Administrativo Nacional de Estadistica (DANE) MICS 2018 Instituto Nacional de Estadisticas y Censos Oficina Nacional de Estadisticas e Informacion Oficina Nacional de Estadisticas e Informacion Statistical Service of Cyprus Czech Statistical Office Statistics Denmark Oficina Nacional de Estadistica National Bureau of Statistics Instituto Nacional de Estadistica y Censos Direccion General de Estadistica y Censos Ministry of Communications and Information Technology Statistics Finland INSEE Direction de la Statistique et des Etudes Démographiques National Statistics Office of Georgia National Statistics Office of Georgia - Geostat Palestinian Central Bureau of Statistics MICS 2019 Central Statistical Office Institut Haitien de Statistique et d'nformatique Census and Stat… | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21919 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Degree to which the legal framework (including customary law) guarantees women\u2019s equal rights to land ownership and/or control (1=No evidence to 6=Highest levels of guarantees) \n \n Variable code: SG_LGL_LNDFEMOD \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-0a-02.pdf \n \n Detailed sources: State Committee for Family, Women and Children Affairs Instituto Nacional de Reforma Agraria (INRA) - UDAPE - Agency for Statistics of BiH (BHAS) - Environmnet, Energy, Regional Statistics Department Ministry of Agriculture, Livestock and Irrigation (MoALI)\t- Department of Agricultural Land Management and Statistics and Department of Planning -; Ministry of Natural Resources and Environmental Conservation - Forest Department-; Union Attorney General\u2019s Office - Legislative Vetting and Advising Department-; Ministry of Planning, Finance and Industry - Agriculture, Livestock and Fishery Section/ Central Statistical Organization- State Committee on Property of the Republic of Belarus Ministerio de Agricultura y Desarrollo Rural (MADR)\r\nMinisterio de Vivienda, Ciudad y Territorio (MVCT)\r\nUnidad de Planificaci\u00f3n Rural Agropecuaria (UPRA)\r\nDepartamento Administrativo Nacional de Estad\u00edstica (DANE) Instituto Nacional de las Mujeres Office of Attorney General and Ministry of Justice (OAGMoJ) Secretar\u00eda de Planificaci\u00f3n y Programaci\u00f3n de la Presidencia -SEGEPLAN- DEPARTMENT FOR STATISTICAL PRODUCTION Ministry of Finance / The Department of Land and Survey Ministry of Public Service and Gender -Gender Mainstreaming Department- Ministry of Gender, Children and Social Protection -Department of Policy and Planning Minist\u00e8re de l\u2019Economie et des Finances; Minist\u00e8re de l\u2019Am\u00e9nagement du Territoire et des Travaux Publics; Minist\u00e8re de la Population, de la Protection Sociale et de la Promotion de la Femme; Minist\u00e8re de la Justice Ministry of Lands, Ministry of Lands Minist\u00e8re de l'Agriculture (CPS/SDR) Ministry of Sustainable Development and Tourism and Minijust PGR PROCURADURIA GENERAL DE LA REPUBLICA (PGR)- INTENDENCIA DE LA PROPIEDAD (IP)\u00a0 Minist\u00e8re de la Promotion de la Femme et de l'Enfant Ministry of Human Rights Ministerio de la Mujer Ministerio de la Mujer y Poblaciones Vulnerables Ministerio da Agricultura, Florestas e Desenvovimento Rural (MAFDR) Ministry of Administrative Development, Labour and Social Affairs\r\nMinistry of Justice Ministry of Gender and Family Promotion REPUBLIC GEODETIC AUTHORITY Reporting institution: The Statistical Office of the Slovak Republic and the Ministry of Labour, Social Affairs and Family of the Slovak republic General Statistics Office of Viet Nam (GSO), Agriculture, Forestry and Fishery Statistics Department Ministry of Lands, Agriculture, Water and Rural Resettlement -Legal Department- SUB- DIRECTORATE OF LAND MANAGEMENT \r\nDIVISION OF LEGAL AFFAIRS Ministry of Enterprise and Innovation Federal Office for Agriculture Institut National de la Statistique\r\net des Etudes Economiques et D\u00e9mographiques (INSEED) Ministry of Labor and Social Policy in coordination with other institutions Instituto Nacional de Colonizaci\u00f3n State Committee for Land Resources, Geodesy, Cartography and State Cadastre", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Degree to which the legal framework (including customary law) guarantees women’s equal rights to land ownership and/or control (1=No evidence to 6=Highest levels of guarantees) Variable code: SG_LGL_LNDFEMOD Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-0a-02.pdf Detailed sources: State Committee for Family, Women and Children Affairs Instituto Nacional de Reforma Agraria (INRA) - UDAPE - Agency for Statistics of BiH (BHAS) - Environmnet, Energy, Regional Statistics Department Ministry of Agriculture, Livestock and Irrigation (MoALI) - Department of Agricultural Land Management and Statistics and Department of Planning -; Ministry of Natural Resources and Environmental Conservation - Forest Department-; Union Attorney General’s Office - Legislative Vetting and Advising Department-; Ministry of Planning, Finance and Industry - Agriculture, Livestock and Fishery Section/ Central Statistical Organization- State Committee on Property of the Republic of Belarus Ministerio de Agricultura y Desarrollo Rural (MADR) Ministerio de Vivienda, Ciudad y Territorio (MVCT) Unidad de Planificación Rural Agropecuaria (UPRA) Departamento Administrativo Nacional de Estadística (DANE) Instituto Nacional de las Mujeres Office of Attorney General and Ministry of Justice (OAGMoJ) Secretaría de Planificación y Programación de la Presidencia -SEGEPLAN- DEPARTMENT FOR STATISTICAL PRODUCTION Ministry of Finance / The Department of Land and Survey Ministry of Public Service and Gender -Gender Mainstreaming Department- Ministry of Gender, Children and Social Protection -Department of Policy and Planning Ministère de l’Economie et des Finances; Ministère de l’Aménagement du Territoire et des Travaux Publics; Ministère de la Population, de la Protection Sociale et de la Promotion de la Femme; Ministère de la Justice Ministry of Lands, Ministry of Lands Ministère de l'Agriculture (CPS/SDR) Ministry of Sustainable Development and Tourism and Minijust PGR PROCURADURIA GENERAL DE… | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21918 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Share of women among owners or rights-bearers of agricultural land, by type of tenure (%) \n \n Variable code: SP_GNP_WNOWNS \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-0a-01.pdf \n \n Detailed sources: Demographic and Health Survey Household Socio-Economic Survey Enqu\u00eate Harmonis\u00e9e sur les conditions de vie des m\u00e9nages (WAEMU) Ethiopian Rural Socio-economic Survey India Human Development Survey Enqu\u00eate Multisectorielle Continue Integrated Household Panel Survey Fourth Integrated Household Survey Fifth Integrated Household Survey National Survey on Household and Living Conditions General Household Survey Panel-Wave 2 General Household Survey Panel-Wave 3 General Household Survey Panel- Wave 4 Encuesta Nacional Agropecuaria Annual Agricultural Survey National Panel Survey ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Share of women among owners or rights-bearers of agricultural land, by type of tenure (%) Variable code: SP_GNP_WNOWNS Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-0a-01.pdf Detailed sources: Demographic and Health Survey Household Socio-Economic Survey Enquête Harmonisée sur les conditions de vie des ménages (WAEMU) Ethiopian Rural Socio-economic Survey India Human Development Survey Enquête Multisectorielle Continue Integrated Household Panel Survey Fourth Integrated Household Survey Fifth Integrated Household Survey National Survey on Household and Living Conditions General Household Survey Panel-Wave 2 General Household Survey Panel-Wave 3 General Household Survey Panel- Wave 4 Encuesta Nacional Agropecuaria Annual Agricultural Survey National Panel Survey | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21917 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of people with ownership or secure rights over agricultural land (out of total agricultural population), by sex (%) \n \n Variable code: SP_LGL_LNDAGSEC \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-0a-01.pdf \n \n Detailed sources: Demographic and Health Survey Household Socio-Economic Survey Enqu\u00eate Harmonis\u00e9e sur les conditions de vie des m\u00e9nages (WAEMU) Ethiopian Rural Socio-economic Survey India Human Development Survey Integrated Household Panel Survey Fourth Integrated Household Survey Fifth Integrated Household Survey National Survey on Household and Living Conditions General Household Survey Panel General Household Survey Panel-Wave 2 General Household Survey Panel-Wave 3 General Household Survey Panel- Wave 4 Encuesta Nacional Agropecuaria Annual Agricultural Survey National Panel Survey Enqu\u00eate Multisectorielle Continue ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of people with ownership or secure rights over agricultural land (out of total agricultural population), by sex (%) Variable code: SP_LGL_LNDAGSEC Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-0a-01.pdf Detailed sources: Demographic and Health Survey Household Socio-Economic Survey Enquête Harmonisée sur les conditions de vie des ménages (WAEMU) Ethiopian Rural Socio-economic Survey India Human Development Survey Integrated Household Panel Survey Fourth Integrated Household Survey Fifth Integrated Household Survey National Survey on Household and Living Conditions General Household Survey Panel General Household Survey Panel-Wave 2 General Household Survey Panel-Wave 3 General Household Survey Panel- Wave 4 Encuesta Nacional Agropecuaria Annual Agricultural Survey National Panel Survey Enquête Multisectorielle Continue | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21916 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.4) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 4: HIV and HPV (%) \n \n Variable code: SH_LGR_ACSRHES4 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.4) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 4: HIV and HPV (%) Variable code: SH_LGR_ACSRHES4 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21915 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.3) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 3: Sexuality Education (%) \n \n Variable code: SH_LGR_ACSRHES3 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.3) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 3: Sexuality Education (%) Variable code: SH_LGR_ACSRHES3 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21914 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.2) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 2: Contraceptive and Family Planning (%) \n \n Variable code: SH_LGR_ACSRHES2 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.2) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 2: Contraceptive and Family Planning (%) Variable code: SH_LGR_ACSRHES2 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21913 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.1) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 1: Maternity Care (%) \n \n Variable code: SH_LGR_ACSRHES1 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.1) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 1: Maternity Care (%) Variable code: SH_LGR_ACSRHES1 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21912 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.3.C.9) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 9: Sexuality Education Curriculum Topics (%) \n \n Variable code: SH_LGR_ACSRHEC9 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.3.C.9) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 9: Sexuality Education Curriculum Topics (%) Variable code: SH_LGR_ACSRHEC9 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21911 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.3.C.8) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 8: Sexuality Education Curriculum Laws (%) \n \n Variable code: SH_LGR_ACSRHEC8 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.3.C.8) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 8: Sexuality Education Curriculum Laws (%) Variable code: SH_LGR_ACSRHEC8 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21910 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.2.C.7) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 7: Emergency Contraception (%) \n \n Variable code: SH_LGR_ACSRHEC7 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.2.C.7) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 7: Emergency Contraception (%) Variable code: SH_LGR_ACSRHEC7 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21909 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.2.C.6) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 6: Contraceptive Consent (%) \n \n Variable code: SH_LGR_ACSRHEC6 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.2.C.6) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 6: Contraceptive Consent (%) Variable code: SH_LGR_ACSRHEC6 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21908 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.2.C.5) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 5: Contraceptive Services (%) \n \n Variable code: SH_LGR_ACSRHEC5 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.2.C.5) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 5: Contraceptive Services (%) Variable code: SH_LGR_ACSRHEC5 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21907 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.1.C.4) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 4: Post-Abortion Care (%) \n \n Variable code: SH_LGR_ACSRHEC4 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.1.C.4) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 4: Post-Abortion Care (%) Variable code: SH_LGR_ACSRHEC4 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21906 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.1.C.3) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 3: Abortion \n \n Variable code: SH_LGR_ACSRHEC3 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.1.C.3) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 3: Abortion Variable code: SH_LGR_ACSRHEC3 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21905 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.1.C.2) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 2: Life Saving Commodities (%) \n \n Variable code: SH_LGR_ACSRHEC2 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.1.C.2) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 2: Life Saving Commodities (%) Variable code: SH_LGR_ACSRHEC2 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21904 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.4.C.13) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 13: HPV Vaccine (%) \n \n Variable code: SH_LGR_ACSRHEC13 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.4.C.13) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 13: HPV Vaccine (%) Variable code: SH_LGR_ACSRHEC13 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21903 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.4.C.12) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 12: HIV Confidentiality (%) \n \n Variable code: SH_LGR_ACSRHEC12 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.4.C.12) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 12: HIV Confidentiality (%) Variable code: SH_LGR_ACSRHEC12 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21902 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.4.C.11) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 11: HIV Treatment and Care Services (%) \n \n Variable code: SH_LGR_ACSRHEC11 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.4.C.11) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 11: HIV Treatment and Care Services (%) Variable code: SH_LGR_ACSRHEC11 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21901 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.4.C.10) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 10: HIV Counselling and Test Services \n \n Variable code: SH_LGR_ACSRHEC10 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.4.C.10) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 10: HIV Counselling and Test Services Variable code: SH_LGR_ACSRHEC10 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21900 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: (S.1.C.1) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 1: Maternity Care (%) \n \n Variable code: SH_LGR_ACSRHEC1 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: (S.1.C.1) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 1: Maternity Care (%) Variable code: SH_LGR_ACSRHEC1 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21899 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education (%) \n \n Variable code: SH_LGR_ACSRHE \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf \n \n Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education (%) Variable code: SH_LGR_ACSRHE Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-02.pdf Detailed sources: United Nations Population Fund, global databases, 2020. Based on official responses to the United Nations 12th Inquiry among Governments on Population and Development. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21898 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of women who make their own informed decisions regarding reproductive health care (% of women aged 15-49 years) \n \n Variable code: SH_FPL_INFMRH \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-01.pdf \n \n Detailed sources: UNFPA Global Database, 2021. DHS 2008-2009. UNFPA Global Database, 2021. DHS 2017-2018. UNFPA Global Database, 2021. DHS 2015-2016. UNFPA Global Database, 2021. DHS 2010. UNFPA Global Database, 2021. DHS 2016-2017. UNFPA Global Database, 2021. DHS 2014. UNFPA Global Database, 2021. DHS 2011. UNFPA Global Database, 2021. DHS 2018. UNFPA Global Database, 2021. DHS 2014-2015. UNFPA Global Database, 2021. DHS 2012. UNFPA Global Database, 2021. DHS 2011-2012. UNFPA Global Database, 2021. DHS 2007. UNFPA Global Database, 2021. DHS 2013-2014. UNFPA Global Database, 2021. DHS 2006. UNFPA Global Database, 2021. ENSANUT 2018. UNFPA Global Database, 2021. DHS 2016. UNFPA Global Database, 2021. MICS 2018. UNFPA Global Database, 2021. DHS 2013. UNFPA Global Database, 2021. DHS 2008. UNFPA Global Database, 2021. DHS 2009. UNFPA Global Database, 2021. DHS 2012-2013. UNFPA Global Database, 2021. Mongolia Social Indicator Sample Survey (MICS) 2018. UNFPA Global Database, 2021. Generations and Gender Survey 2020. UNFPA Global Database, 2021. DHS 2006-2007. UNFPA Global Database, 2021. ENASSER 2014. UNFPA Global Database, 2021. DHS 2016-2018. UNFPA Global Database, 2021. DHS 2017. UNFPA Global Database, 2021. DHS Continuous 2015. UNFPA Global Database, 2021. DHS Continuous 2016. UNFPA Global Database, 2021. DHS Continuous 2017. UNFPA Global Database, 2021. MICS 2019. UNFPA Global Database, 2021. DHS 2019. UNFPA Global Database, 2021. DHS 2005-2006. UNFPA Global Database, 2021. DHS 2010-2011. UNFPA Global Database, 2021. DHS 2015. UNFPA Global Database, 2021. MICS 2018-2019. UNFPA Global Database, 2021.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of women who make their own informed decisions regarding reproductive health care (% of women aged 15-49 years) Variable code: SH_FPL_INFMRH Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-01.pdf Detailed sources: UNFPA Global Database, 2021. DHS 2008-2009. UNFPA Global Database, 2021. DHS 2017-2018. UNFPA Global Database, 2021. DHS 2015-2016. UNFPA Global Database, 2021. DHS 2010. UNFPA Global Database, 2021. DHS 2016-2017. UNFPA Global Database, 2021. DHS 2014. UNFPA Global Database, 2021. DHS 2011. UNFPA Global Database, 2021. DHS 2018. UNFPA Global Database, 2021. DHS 2014-2015. UNFPA Global Database, 2021. DHS 2012. UNFPA Global Database, 2021. DHS 2011-2012. UNFPA Global Database, 2021. DHS 2007. UNFPA Global Database, 2021. DHS 2013-2014. UNFPA Global Database, 2021. DHS 2006. UNFPA Global Database, 2021. ENSANUT 2018. UNFPA Global Database, 2021. DHS 2016. UNFPA Global Database, 2021. MICS 2018. UNFPA Global Database, 2021. DHS 2013. UNFPA Global Database, 2021. DHS 2008. UNFPA Global Database, 2021. DHS 2009. UNFPA Global Database, 2021. DHS 2012-2013. UNFPA Global Database, 2021. Mongolia Social Indicator Sample Survey (MICS) 2018. UNFPA Global Database, 2021. Generations and Gender Survey 2020. UNFPA Global Database, 2021. DHS 2006-2007. UNFPA Global Database, 2021. ENASSER 2014. UNFPA Global Database, 2021. DHS 2016-2018. UNFPA Global Database, 2021. DHS 2017. UNFPA Global Database, 2021. DHS Continuous 2015. UNFPA Global Database, 2021. DHS Continuous 2016. UNFPA Global Database, 2021. DHS Continuous 2017. UNFPA Global Database, 2021. MICS 2019. UNFPA Global Database, 2021. DHS 2019. UNFPA Global Database, 2021. DHS 2005-2006. UNFPA Global Database, 2021. DHS 2010-2011. UNFPA Global Database, 2021. DHS 2015. UNFPA Global Database, 2021. MICS 2018-2019. UNFPA Global Database, 2021. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21897 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of women who make their own informed decisions regarding contraceptive use (% of women aged 15-49 years) \n \n Variable code: SH_FPL_INFMCU \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-01.pdf \n \n Detailed sources: UNFPA Global Database, 2021. DHS 2008-2009. UNFPA Global Database, 2021. DHS 2017-2018. UNFPA Global Database, 2021. DHS 2015-2016. UNFPA Global Database, 2021. DHS 2010. UNFPA Global Database, 2021. DHS 2016-2017. UNFPA Global Database, 2021. DHS 2014. UNFPA Global Database, 2021. DHS 2011. UNFPA Global Database, 2021. DHS 2018. UNFPA Global Database, 2021. DHS 2014-2015. UNFPA Global Database, 2021. DHS 2012. UNFPA Global Database, 2021. DHS 2011-2012. UNFPA Global Database, 2021. DHS 2007. UNFPA Global Database, 2021. DHS 2013-2014. UNFPA Global Database, 2021. DHS 2006. UNFPA Global Database, 2021. ENSANUT 2018. UNFPA Global Database, 2021. DHS 2016. UNFPA Global Database, 2021. MICS 2018. UNFPA Global Database, 2021. DHS 2013. UNFPA Global Database, 2021. DHS 2008. UNFPA Global Database, 2021. DHS 2009. UNFPA Global Database, 2021. DHS 2012-2013. UNFPA Global Database, 2021. Mongolia Social Indicator Sample Survey (MICS) 2018. UNFPA Global Database, 2021. Generations and Gender Survey 2020. UNFPA Global Database, 2021. DHS 2006-2007. UNFPA Global Database, 2021. ENASSER 2014. UNFPA Global Database, 2021. DHS 2016-2018. UNFPA Global Database, 2021. DHS 2017. UNFPA Global Database, 2021. DHS Continuous 2015. UNFPA Global Database, 2021. DHS Continuous 2016. UNFPA Global Database, 2021. DHS Continuous 2017. UNFPA Global Database, 2021. MICS 2019. UNFPA Global Database, 2021. DHS 2019. UNFPA Global Database, 2021. DHS 2005-2006. UNFPA Global Database, 2021. DHS 2010-2011. UNFPA Global Database, 2021. DHS 2015. UNFPA Global Database, 2021. MICS 2018-2019. UNFPA Global Database, 2021.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of women who make their own informed decisions regarding contraceptive use (% of women aged 15-49 years) Variable code: SH_FPL_INFMCU Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-01.pdf Detailed sources: UNFPA Global Database, 2021. DHS 2008-2009. UNFPA Global Database, 2021. DHS 2017-2018. UNFPA Global Database, 2021. DHS 2015-2016. UNFPA Global Database, 2021. DHS 2010. UNFPA Global Database, 2021. DHS 2016-2017. UNFPA Global Database, 2021. DHS 2014. UNFPA Global Database, 2021. DHS 2011. UNFPA Global Database, 2021. DHS 2018. UNFPA Global Database, 2021. DHS 2014-2015. UNFPA Global Database, 2021. DHS 2012. UNFPA Global Database, 2021. DHS 2011-2012. UNFPA Global Database, 2021. DHS 2007. UNFPA Global Database, 2021. DHS 2013-2014. UNFPA Global Database, 2021. DHS 2006. UNFPA Global Database, 2021. ENSANUT 2018. UNFPA Global Database, 2021. DHS 2016. UNFPA Global Database, 2021. MICS 2018. UNFPA Global Database, 2021. DHS 2013. UNFPA Global Database, 2021. DHS 2008. UNFPA Global Database, 2021. DHS 2009. UNFPA Global Database, 2021. DHS 2012-2013. UNFPA Global Database, 2021. Mongolia Social Indicator Sample Survey (MICS) 2018. UNFPA Global Database, 2021. Generations and Gender Survey 2020. UNFPA Global Database, 2021. DHS 2006-2007. UNFPA Global Database, 2021. ENASSER 2014. UNFPA Global Database, 2021. DHS 2016-2018. UNFPA Global Database, 2021. DHS 2017. UNFPA Global Database, 2021. DHS Continuous 2015. UNFPA Global Database, 2021. DHS Continuous 2016. UNFPA Global Database, 2021. DHS Continuous 2017. UNFPA Global Database, 2021. MICS 2019. UNFPA Global Database, 2021. DHS 2019. UNFPA Global Database, 2021. DHS 2005-2006. UNFPA Global Database, 2021. DHS 2010-2011. UNFPA Global Database, 2021. DHS 2015. UNFPA Global Database, 2021. MICS 2018-2019. UNFPA Global Database, 2021. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21896 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of women who make their own informed decisions regarding sexual relations (% of women aged 15-49 years) \n \n Variable code: SH_FPL_INFMSR \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-01.pdf \n \n Detailed sources: UNFPA Global Database, 2021. DHS 2008-2009. UNFPA Global Database, 2021. DHS 2017-2018. UNFPA Global Database, 2021. DHS 2015-2016. UNFPA Global Database, 2021. DHS 2010. UNFPA Global Database, 2021. DHS 2016-2017. UNFPA Global Database, 2021. DHS 2014. UNFPA Global Database, 2021. DHS 2011. UNFPA Global Database, 2021. DHS 2018. UNFPA Global Database, 2021. DHS 2014-2015. UNFPA Global Database, 2021. DHS 2012. UNFPA Global Database, 2021. DHS 2011-2012. UNFPA Global Database, 2021. DHS 2007. UNFPA Global Database, 2021. DHS 2013-2014. UNFPA Global Database, 2021. DHS 2006. UNFPA Global Database, 2021. ENSANUT 2018. UNFPA Global Database, 2021. DHS 2016. UNFPA Global Database, 2021. MICS 2018. UNFPA Global Database, 2021. DHS 2013. UNFPA Global Database, 2021. DHS 2008. UNFPA Global Database, 2021. DHS 2009. UNFPA Global Database, 2021. DHS 2012-2013. UNFPA Global Database, 2021. Mongolia Social Indicator Sample Survey (MICS) 2018. UNFPA Global Database, 2021. Generations and Gender Survey 2020. UNFPA Global Database, 2021. DHS 2006-2007. UNFPA Global Database, 2021. ENASSER 2014. UNFPA Global Database, 2021. DHS 2016-2018. UNFPA Global Database, 2021. DHS 2017. UNFPA Global Database, 2021. DHS Continuous 2015. UNFPA Global Database, 2021. DHS Continuous 2016. UNFPA Global Database, 2021. DHS Continuous 2017. UNFPA Global Database, 2021. MICS 2019. UNFPA Global Database, 2021. DHS 2019. UNFPA Global Database, 2021. DHS 2005-2006. UNFPA Global Database, 2021. DHS 2010-2011. UNFPA Global Database, 2021. DHS 2015. UNFPA Global Database, 2021. MICS 2018-2019. UNFPA Global Database, 2021.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of women who make their own informed decisions regarding sexual relations (% of women aged 15-49 years) Variable code: SH_FPL_INFMSR Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-01.pdf Detailed sources: UNFPA Global Database, 2021. DHS 2008-2009. UNFPA Global Database, 2021. DHS 2017-2018. UNFPA Global Database, 2021. DHS 2015-2016. UNFPA Global Database, 2021. DHS 2010. UNFPA Global Database, 2021. DHS 2016-2017. UNFPA Global Database, 2021. DHS 2014. UNFPA Global Database, 2021. DHS 2011. UNFPA Global Database, 2021. DHS 2018. UNFPA Global Database, 2021. DHS 2014-2015. UNFPA Global Database, 2021. DHS 2012. UNFPA Global Database, 2021. DHS 2011-2012. UNFPA Global Database, 2021. DHS 2007. UNFPA Global Database, 2021. DHS 2013-2014. UNFPA Global Database, 2021. DHS 2006. UNFPA Global Database, 2021. ENSANUT 2018. UNFPA Global Database, 2021. DHS 2016. UNFPA Global Database, 2021. MICS 2018. UNFPA Global Database, 2021. DHS 2013. UNFPA Global Database, 2021. DHS 2008. UNFPA Global Database, 2021. DHS 2009. UNFPA Global Database, 2021. DHS 2012-2013. UNFPA Global Database, 2021. Mongolia Social Indicator Sample Survey (MICS) 2018. UNFPA Global Database, 2021. Generations and Gender Survey 2020. UNFPA Global Database, 2021. DHS 2006-2007. UNFPA Global Database, 2021. ENASSER 2014. UNFPA Global Database, 2021. DHS 2016-2018. UNFPA Global Database, 2021. DHS 2017. UNFPA Global Database, 2021. DHS Continuous 2015. UNFPA Global Database, 2021. DHS Continuous 2016. UNFPA Global Database, 2021. DHS Continuous 2017. UNFPA Global Database, 2021. MICS 2019. UNFPA Global Database, 2021. DHS 2019. UNFPA Global Database, 2021. DHS 2005-2006. UNFPA Global Database, 2021. DHS 2010-2011. UNFPA Global Database, 2021. DHS 2015. UNFPA Global Database, 2021. MICS 2018-2019. UNFPA Global Database, 2021. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21895 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of women who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women aged 15-49 years) \n \n Variable code: SH_FPL_INFM \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-01.pdf \n \n Detailed sources: UNFPA Global Database, 2021. DHS 2008-2009. UNFPA Global Database, 2021. DHS 2017-2018. UNFPA Global Database, 2021. DHS 2015-2016. UNFPA Global Database, 2021. DHS 2010. UNFPA Global Database, 2021. DHS 2016-2017. UNFPA Global Database, 2021. DHS 2014. UNFPA Global Database, 2021. DHS 2011. UNFPA Global Database, 2021. DHS 2018. UNFPA Global Database, 2021. DHS 2014-2015. UNFPA Global Database, 2021. DHS 2012. UNFPA Global Database, 2021. DHS 2011-2012. UNFPA Global Database, 2021. DHS 2007. UNFPA Global Database, 2021. DHS 2013-2014. UNFPA Global Database, 2021. DHS 2006. UNFPA Global Database, 2021. ENSANUT 2018. UNFPA Global Database, 2021. DHS 2016. UNFPA Global Database, 2021. MICS 2018. UNFPA Global Database, 2021. DHS 2013. UNFPA Global Database, 2021. DHS 2008. UNFPA Global Database, 2021. DHS 2009. UNFPA Global Database, 2021. DHS 2012-2013. UNFPA Global Database, 2021. Mongolia Social Indicator Sample Survey (MICS) 2018. UNFPA Global Database, 2021. Generations and Gender Survey 2020. UNFPA Global Database, 2021. DHS 2006-2007. UNFPA Global Database, 2021. ENASSER 2014. UNFPA Global Database, 2021. DHS 2016-2018. UNFPA Global Database, 2021. DHS 2017. UNFPA Global Database, 2021. DHS Continuous 2015. UNFPA Global Database, 2021. DHS Continuous 2016. UNFPA Global Database, 2021. DHS Continuous 2017. UNFPA Global Database, 2021. MICS 2019. UNFPA Global Database, 2021. DHS 2019. UNFPA Global Database, 2021. DHS 2005-2006. UNFPA Global Database, 2021. DHS 2010-2011. UNFPA Global Database, 2021. DHS 2015. UNFPA Global Database, 2021. MICS 2018-2019. UNFPA Global Database, 2021.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of women who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women aged 15-49 years) Variable code: SH_FPL_INFM Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-06-01.pdf Detailed sources: UNFPA Global Database, 2021. DHS 2008-2009. UNFPA Global Database, 2021. DHS 2017-2018. UNFPA Global Database, 2021. DHS 2015-2016. UNFPA Global Database, 2021. DHS 2010. UNFPA Global Database, 2021. DHS 2016-2017. UNFPA Global Database, 2021. DHS 2014. UNFPA Global Database, 2021. DHS 2011. UNFPA Global Database, 2021. DHS 2018. UNFPA Global Database, 2021. DHS 2014-2015. UNFPA Global Database, 2021. DHS 2012. UNFPA Global Database, 2021. DHS 2011-2012. UNFPA Global Database, 2021. DHS 2007. UNFPA Global Database, 2021. DHS 2013-2014. UNFPA Global Database, 2021. DHS 2006. UNFPA Global Database, 2021. ENSANUT 2018. UNFPA Global Database, 2021. DHS 2016. UNFPA Global Database, 2021. MICS 2018. UNFPA Global Database, 2021. DHS 2013. UNFPA Global Database, 2021. DHS 2008. UNFPA Global Database, 2021. DHS 2009. UNFPA Global Database, 2021. DHS 2012-2013. UNFPA Global Database, 2021. Mongolia Social Indicator Sample Survey (MICS) 2018. UNFPA Global Database, 2021. Generations and Gender Survey 2020. UNFPA Global Database, 2021. DHS 2006-2007. UNFPA Global Database, 2021. ENASSER 2014. UNFPA Global Database, 2021. DHS 2016-2018. UNFPA Global Database, 2021. DHS 2017. UNFPA Global Database, 2021. DHS Continuous 2015. UNFPA Global Database, 2021. DHS Continuous 2016. UNFPA Global Database, 2021. DHS Continuous 2017. UNFPA Global Database, 2021. MICS 2019. UNFPA Global Database, 2021. DHS 2019. UNFPA Global Database, 2021. DHS 2005-2006. UNFPA Global Database, 2021. DHS 2010-2011. UNFPA Global Database, 2021. DHS 2015. UNFPA Global Database, 2021. MICS 2018-2019. UNFPA Global Database, 2021. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21894 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of elected seats held by women in deliberative bodies of local government (%) \n \n Variable code: SG_GEN_LOCGELS \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01b.pdf \n \n Detailed sources: UN Women Compiled by UN Women Compiled by UNECE Statistical Division and UN Women Compiled by UNECA African Centre for Statistics and UN Women Compiled by ECLAC Division for Gender Affairs and UN Women Compiled by UN Women in collaboration with ESCAP Statistics Division Compiled by ESCWA Statistics Division and UN Women Compiled by UN Women ", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of elected seats held by women in deliberative bodies of local government (%) Variable code: SG_GEN_LOCGELS Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01b.pdf Detailed sources: UN Women Compiled by UN Women Compiled by UNECE Statistical Division and UN Women Compiled by UNECA African Centre for Statistics and UN Women Compiled by ECLAC Division for Gender Affairs and UN Women Compiled by UN Women in collaboration with ESCAP Statistics Division Compiled by ESCWA Statistics Division and UN Women Compiled by UN Women | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21893 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of seats held by women in national parliaments (% of total number of seats) \n \n Variable code: SG_GEN_PARL \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01b.pdf \n \n Detailed sources: Inter-Parliamentary Union (IPU), the database on Women in National Parliament, accessed February 1 of given year for annual data. Inter-Parliamentary Union (IPU), the database on Women in National Parliament, accessed January 1 of given year for annual data. Inter-Parliamentary Union (IPU), Parline Database", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of seats held by women in national parliaments (% of total number of seats) Variable code: SG_GEN_PARL Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01b.pdf Detailed sources: Inter-Parliamentary Union (IPU), the database on Women in National Parliament, accessed February 1 of given year for annual data. Inter-Parliamentary Union (IPU), the database on Women in National Parliament, accessed January 1 of given year for annual data. Inter-Parliamentary Union (IPU), Parline Database | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21892 | Inter-Parliamentary Union via United Nations Global SDG Database | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Current number of seats in national parliaments (number) \n \n Variable code: SG_GEN_PARLNT \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01b.pdf \n \n Detailed sources: Inter-Parliamentary Union (IPU), Parline Database", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Inter-Parliamentary Union via United Nations Global SDG Database" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Current number of seats in national parliaments (number) Variable code: SG_GEN_PARLNT Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01b.pdf Detailed sources: Inter-Parliamentary Union (IPU), Parline Database | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21891 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Number of seats held by women in national parliaments (number) \n \n Variable code: SG_GEN_PARLN \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01b.pdf \n \n Detailed sources: Inter-Parliamentary Union (IPU), the database on Women in National Parliament, accessed February 1 of given year for annual data. Inter-Parliamentary Union (IPU), the database on Women in National Parliament, accessed Jan 1 of given year for annual data. Inter-Parliamentary Union (IPU), Parline Database", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Number of seats held by women in national parliaments (number) Variable code: SG_GEN_PARLN Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-01b.pdf Detailed sources: Inter-Parliamentary Union (IPU), the database on Women in National Parliament, accessed February 1 of given year for annual data. Inter-Parliamentary Union (IPU), the database on Women in National Parliament, accessed Jan 1 of given year for annual data. Inter-Parliamentary Union (IPU), Parline Database | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21890 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of women in senior and middle management positions (%) \n \n Variable code: IC_GEN_MGTN \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-02.pdf \n \n Detailed sources: HIES - Living Conditions Survey LFS - Labour Force Survey PC - Population Census LFS - Permanent Household Survey (Urban) LFS - EU Labour Force Survey HIES - Household Survey LFS - Continuous Employment Survey HS - Botswana Core Welfare Indicators (Poverty) Survey HS - Multi-Topic Household Survey HS - National Household Sample Survey HS - Continuous National Household Sample Survey HIES - Household Income and Expenditure Survey HIES - Household Socio-Economic Survey HS - National Survey on Socio-Economic Conditions LFS - Survey 1-2-3, Employment, informal sector and household's living conditions LFS - National Labour Force Survey LFS - Continuous National Labour Force Survey LFS - National Survey on Employment, Unemployment and Underemployment HS - Multi-purpose Household Survey LFS - National Labor Force Survey LFS - Employment, Unemployment Survey HIES - Living Standards Survey LFS - Monthly Employment and Income Survey HS - Continous Multi-Purpose Household Survey HS - National Sample Survey LFS - Periodic Labour Force Survey LFS - Regional Integrated Survey on Employment and the Informal Sector LFS - National Survey on Employment and the Informal Sector LFS - Continuous Multi-Purpose Household Survey LFS - National Occupation and Employment Survey HIES - Household Budget Survey PC - National Population and Housing Census HIES - National Household Survey on Measuring Living Conditions LFS - Continous Household Survey HS - General Household Survey LFS - Labour Market Survey LFS - Quarterly Labour Force Survey HIES - Survey on Living Conditions LFS - National Population and Employment Survey LFS - Labour Force Sample Survey LFS - Current Population Survey", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of women in senior and middle management positions (%) Variable code: IC_GEN_MGTN Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-02.pdf Detailed sources: HIES - Living Conditions Survey LFS - Labour Force Survey PC - Population Census LFS - Permanent Household Survey (Urban) LFS - EU Labour Force Survey HIES - Household Survey LFS - Continuous Employment Survey HS - Botswana Core Welfare Indicators (Poverty) Survey HS - Multi-Topic Household Survey HS - National Household Sample Survey HS - Continuous National Household Sample Survey HIES - Household Income and Expenditure Survey HIES - Household Socio-Economic Survey HS - National Survey on Socio-Economic Conditions LFS - Survey 1-2-3, Employment, informal sector and household's living conditions LFS - National Labour Force Survey LFS - Continuous National Labour Force Survey LFS - National Survey on Employment, Unemployment and Underemployment HS - Multi-purpose Household Survey LFS - National Labor Force Survey LFS - Employment, Unemployment Survey HIES - Living Standards Survey LFS - Monthly Employment and Income Survey HS - Continous Multi-Purpose Household Survey HS - National Sample Survey LFS - Periodic Labour Force Survey LFS - Regional Integrated Survey on Employment and the Informal Sector LFS - National Survey on Employment and the Informal Sector LFS - Continuous Multi-Purpose Household Survey LFS - National Occupation and Employment Survey HIES - Household Budget Survey PC - National Population and Housing Census HIES - National Household Survey on Measuring Living Conditions LFS - Continous Household Survey HS - General Household Survey LFS - Labour Market Survey LFS - Quarterly Labour Force Survey HIES - Survey on Living Conditions LFS - National Population and Employment Survey LFS - Labour Force Sample Survey LFS - Current Population Survey | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21889 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of women in managerial positions (%) \n \n Variable code: IC_GEN_MGTL \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-02.pdf \n \n Detailed sources: ILO modelled estimates, November 2020, available in ILOSTAT (https://ilostat.ilo.org/). For the specific sources by country and the estimation methodology refer to ILOSTAT directly. HIES - Living Conditions Survey LFS - Labour Force Survey LFS - Household Employment Survey LFS - Employment Survey PC - Population Census LFS - Permanent Household Survey (Urban) LFS - EU Labour Force Survey LFS - Labour Force & Household Survey LFS - Household Labour Force Survey HIES - Households' Integrated Living Conditions Survey LFS - Labour Force Survey Report LFS - Continuous Employment Survey HIES - Household Survey HS - Botswana Core Welfare Indicators (Poverty) Survey HS - Multi-Topic Household Survey HS - National Household Sample Survey HS - Continuous National Household Sample Survey HIES - Household Income and Expenditure Survey HIES - Living Standards Survey HIES - Household Socio-Economic Survey HS - Household Survey LFS - Continuous Multi-Objective Survey Employment and Labor Market Statistics HS - National Survey on Socio-Economic Conditions PC - Census of Population and Housing LFS - National Employment Survey HS - Integrated Household Survey LFS - National Survey on Employment and the Informal Sector LFS - Survey 1-2-3, Employment, informal sector and household's living conditions HS - National Household Survey HS - Household Survey of Multiple Purposes LFS - National Labour Force Survey LFS - Continuous National Labour Force Survey LFS - National Survey on Employment, Unemployment and Underemployment HS - Multi-purpose Household Survey LFS - National Labor Force Survey LFS - Employment, Unemployment Survey HS - Djiboutian Household Survey LFS - Monthly Employment and Income Survey HIES - Living Conditions National Survey HS - Continous Multi-Purpose Household Survey HS - National Sample Survey LFS - Periodic Labour Force Survey LFS - National Survey on the Employment Situation LFS - Regional Integrated Survey on Employment and the Informal Sector LFS - Sample Survey of Employment LFS - Employment and Unemployment Survey HIES - Household Budget Survey LFS - Economically Active Population Survey LFS - Labour Force Sample Survey LFS - Integrated Labour Force Survey HS - Periodic Household Survey PC - Population and Housing Census LFS - Continous Household Employment Survey LFS - Continuous Multi-Purpose Household Survey LFS - National Occupation and Employment Survey PC - National Population and Housing Census HIES - National Household Survey on Measuring Living Conditions LFS - Continous Household Survey HS - General Household Survey LFS - Labour Market Survey HS - Continous Household Survey HS - Continuous Permanent Household Survey LFS - Permanent Employment Survey (Urban) LFS - Labor Force Sample Survey PC - Qatar Population and Housing Census LFS - Quarterly Labour Force Survey LFS - Continuous Household Sample Survey HIES - Survey on Living Conditions HIES - Living Standard Survey HIES - Questionnaire on Indicators of Well-being LFS - Continuous Sample Survey of the Population LFS - National Population and Employment Survey HIES - National Household Survey LFS - Current Population Survey LFS - Household Sample Survey", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of women in managerial positions (%) Variable code: IC_GEN_MGTL Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-05-02.pdf Detailed sources: ILO modelled estimates, November 2020, available in ILOSTAT (https://ilostat.ilo.org/). For the specific sources by country and the estimation methodology refer to ILOSTAT directly. HIES - Living Conditions Survey LFS - Labour Force Survey LFS - Household Employment Survey LFS - Employment Survey PC - Population Census LFS - Permanent Household Survey (Urban) LFS - EU Labour Force Survey LFS - Labour Force & Household Survey LFS - Household Labour Force Survey HIES - Households' Integrated Living Conditions Survey LFS - Labour Force Survey Report LFS - Continuous Employment Survey HIES - Household Survey HS - Botswana Core Welfare Indicators (Poverty) Survey HS - Multi-Topic Household Survey HS - National Household Sample Survey HS - Continuous National Household Sample Survey HIES - Household Income and Expenditure Survey HIES - Living Standards Survey HIES - Household Socio-Economic Survey HS - Household Survey LFS - Continuous Multi-Objective Survey Employment and Labor Market Statistics HS - National Survey on Socio-Economic Conditions PC - Census of Population and Housing LFS - National Employment Survey HS - Integrated Household Survey LFS - National Survey on Employment and the Informal Sector LFS - Survey 1-2-3, Employment, informal sector and household's living conditions HS - National Household Survey HS - Household Survey of Multiple Purposes LFS - National Labour Force Survey LFS - Continuous National Labour Force Survey LFS - National Survey on Employment, Unemployment and Underemployment HS - Multi-purpose Household Survey LFS - National Labor Force Survey LFS - Employment, Unemployment Survey HS - Djiboutian Household Survey LFS - Monthly Employment and Income Survey HIES - Living Conditions National Survey HS - Continous Multi-Purpose Household Survey HS - National Sample Survey LFS - P… | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21888 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%) \n \n Variable code: SL_DOM_TSPD \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-04-01.pdf \n \n Detailed sources: Calculated by UNSD based on available country data from the Albanian time use survey (ATUS) 2010-2011 to apply ICATUS. Calculated by UNSD based on available country data from the National Survey on time use of Algerians \u2013 ENET 2012 to apply ICATUS. Calculated by UNSD based on available country data from the Time Use Survey of the population in the Republic of Azerbaijan to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Annual Household Survey 2005 to apply ICATUS. Calculated by UNSD based on available country data from the Time-use and Volunteer Activities Survey to apply ICATUS. Data provided by the Economic Commission for Latin America and the Caribbean (ECLAC), on the basis of special tabulations from time-use survey. Australian Bureau of Statistics based on 2006 Time Use Survey Statistics Austria based on Time Use Survey 2008/09 National Statistical Service Republic of Armenia based on Armenian Time Use Pilot Survey National Statistical Service Republic of Armenia based on Time Use Sample Survey in the Republic of Armenia Calculated by UNSD based on available country data from the The Belgian Time Use Survey 1999 to apply ICATUS. Calculated by UNSD based on available country data from the Survey 2005 on the use of time in Belgium to apply ICATUS. Federal Planning Bureau Belgium based on BTUS2013 based on Harmonised European Belgian Time Use Survey Calculated by UNSD based on available country data from the Harmonised European Belgian Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Pilot Time use survey to apply ICATUS. Calculated by UNSD based on available country data from the 2015 Gross National Happiness Survey to apply ICATUS. Calculated by UNSD based on available country data from the Pilot Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the 2009-2010 Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Belarus to apply ICATUS. Calculated by UNSD based on available country data from the Module in Cambodia Socio-Economic Survey 2003-04 (CSES 2003-04) to apply ICATUS. INS, Cameroun based on Fourth Cameroon Household Survey ECAM 4 Statistics Canada based on General Social Survey 2005 - Cycle 19- Time Use Survey Statistics Canada based on General Social Survey 2010 - Cycle 24- Time Use Statistics Canada based on General Social Survey 2015-2016 - Cycle 29 - Time Use Instituto Nacional de Estad\u00edsticas Chile based on Time Use Survey 2007 Instituto Nacional de Estad\u00edsticas Chile based on Time Use Survey 2015 Calculated by UNSD based on available country data from the Time Use Survey in China to apply ICATUS. Calculated by UNSD based on available country data from the 2018 National Time Use Survey to apply ICATUS. DANE based on National Time Use Survey INEC based on National time use survey 2017 Calculated by UNSD based on available country data from the Survey on the time use and use of free time (5 municipalities) to apply ICATUS. Calculated by UNSD based on available country data from the The Time Budget Survey (TBO) to apply ICATUS. Calculated by UNSD based on available country data from the Danish Time-Use and Consumption Survey to apply ICATUS. Calculated by UNSD based on available country data from the Ethiopian Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Time use at different stages of life to apply ICATUS. Fiji Bureau of Statistics based on Employment and Unemployment Survey 2015-16 Statistics Finland\u00a0 based on Time Use Survey Institut National de la Statistique et des Etudes Economiques (INSEE) based on Survey on the use of time 2009-2010 / EDT Palestinian Central Bureau of Statistics (PCBS) based on Time Use Survey 1999-2000 Palestinian Central Bureau of Statistics (PCBS) based on Time Use Survey 2012/2013 Federal Statistical Office\u00a0 based on Time Use Survey in Germany Calculated by UNSD based on available country data from the Ghana Time Use Survey to apply ICATUS. Hellenic Statistical Authority (ELSTAT) based on Time use survey Calculated by UNSD based on available country data from the Thematic Household Survey (Time use) to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey to apply ICATUS. Hungarian Central Statistical Office based on Time use survey Calculated by UNSD based on available country data from the Time Use Survey in Urban Areas to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Iraq as Module of Iraq Household Socio-Economic Survey - HSES to apply ICATUS. Calculated by UNSD based on available country data from the The Irish National Time-Use Survey 2005 to apply ICATUS. Italian National Institute of Statistics (Istat) based on National Time Use Survey Ministry of Internal Affairs and Communications (MIC) based on Survey on Time Use and Leisure Activities Ministry of Internal Affairs and Communications (MIC) based on 2011 Survey on Time Use and Leisure Activities Ministry of Internal Affairs and Communications (MIC) based on 2016 Survey on Time Use and Leisure Activities Calculated by UNSD based on available country data from the Time use survey in Kazakhstan to apply ICATUS. Calculated by UNSD based on available country data from the The time use budget of population to apply ICATUS. The Agency of the Republic of Kazakhstan on Statistics based on The time use budget of population Statistics Korea based on Time Use Survey Calculated by UNSD based on available country data from the Time Budget Survey to apply ICATUS. Calculated by UNSD based on available country data from the Lao Expenditure and consumption survey to apply ICATUS. Calculated by UNSD based on available country data from the Lao expenditure and consumption survey 2012/13 to apply ICATUS. Lao Statistics Bureau based on Labor force survey in Lao PDR- 2017 Calculated by UNSD based on available country data from the Household Budget Survey (HBS) to apply ICATUS. Calculated by UNSD based on available country data from the HETUS to apply ICATUS. Liberia Institute of Statistics and Geo-Information Services (LISGIS) based on Labour Force Survey 2010 Statistics Lithuania based on Time Use Survey Calculated by UNSD based on available country data from the Time use of Luxembourg residents to apply ICATUS. Calculated by UNSD based on available country data from the Module on the use of time to apply ICATUS. Calculated by UNSD based on available country data from the 2nd Malawi Integrated household survey (IHS2) to apply ICATUS. Calculated by UNSD based on available country data from the Unpaid work survey to apply ICATUS. Calculated by UNSD based on available country data from the Malian Survey on Time Use to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey 2002 (pilot) to apply ICATUS. Calculated by UNSD based on available country data from the The Continuous Multi-Purpose Household Survey (CMPHS) to apply ICATUS. INEGI based on National time use survey 2002 (Module in ENIGH) INEGI based on National time use survey 2009 INEGI based on National time use survey 2014 INEGI based on National time use survey 2019 National Statistical Office based on Time Use Survey (pilot) National Statistical Office based on Time Use Survey 2007 National Statistical Office based on Time use survey 2011 National Statistical Office based on Time use survey 2015 National Statistical Office based on Time use survey 2019 National Bureau of Statistics, Republic of Moldova based on Time use survey Calculated by UNSD based on available country data from the National Survey on time use in Morocco to apply ICATUS. National Center for Statistics and Information (NCSI) based on Overall Monitoring of Annual National Indicators Survey National Center for Statistics and Information (NCSI) based on Time Use Survey Calculated by UNSD based on available country data from the Dutch Time Use Survey (TBO) to apply ICATUS. Calculated by UNSD based on available country data from the Dutch Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Dutch Time Use Survey (TBO) 2011 to apply ICATUS. Statistics Norway based on Time Use Survey Pakistan Bureau of Statistics based on Time Use Survey Direccion General de Estadistica, Encuestas y Censos (DGEEC) based on Time use survey 2016 Instituto Nacional de Estad\u00edstica e Inform\u00e1tica based on National Survey of Time Use 2010 Statistics Poland based on Time Use Survey Statistics Portugal based on National Survey on Time Use by Men and Women INSSE based on National Time Use Study INSSE based on Time Use of the Romanians - 2012 Calculated by UNSD based on available country data from the 2014 Time-use survey to apply ICATUS. Statistical Office of the Republic of Serbia based on Time Use Survey in Serbia Statistical Office of the Republic of Slovenia based on Time Use Survey Calculated by UNSD based on available country data from the Time Use Survey 2000 to apply ICATUS. Calculated by UNSD based on available country data from the Time Use Survey 2010 to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey 2002-2003 to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey 2009-2010 to apply ICATUS. Statistics Sweden based on The Swedish Time-Use Survey 2000 Statistics Sweden based on The Swedish Time Use Survey 2010/11 Federal\u00a0Statistical Office\u00a0FSO based on Swiss Labour Force Survey - Unpaid Work Module Calculated by UNSD based on available country data from the Time Budget of Women and Men in Tunisia to apply ICATUS. Turkish Statistical Institute (TurkStat) based on Turkey - Time Use Survey 2006 Turkish Statistical Institute (TurkStat) based on Turkey - Time Use Survey 2014-15 Uganda Bureau of Statistics based on time use survey Calculated by UNSD based on available country data from the Time use survey, 2014/2015 to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Egypt to apply ICATUS. Office for National Statistics based on United Kingdom Time Use Survey, 2000 Office for National Statistics based on United Kingdom Time Use Survey, 2014-2015 Calculated by UNSD based on available country data from the Integrated Labour Force Survey - Time Use Survey Module to apply ICATUS. US Bureau of Labor Statistics based on American Time Use Survey 2003 US Bureau of Labor Statistics based on American Time Use Survey 2004 US Bureau of Labor Statistics based on American Time Use Survey 2005 US Bureau of Labor Statistics based on American Time Use Survey 2006 US Bureau of Labor Statistics based on American Time Use Survey 2007 US Bureau of Labor Statistics based on American Time Use Survey 2008 US Bureau of Labor Statistics based on American Time Use Survey 2009 US Bureau of Labor Statistics based on American Time Use Survey 2010 US Bureau of Labor Statistics based on American Time Use Survey 2011 US Bureau of Labor Statistics based on American Time Use Survey 2012 US Bureau of Labor Statistics based on American Time Use Survey 2013 US Bureau of Labor Statistics based on American Time Use Survey 2014 US Bureau of Labor Statistics based on American Time Use Survey 2015 US Bureau of Labor Statistics based on American Time Use Survey 2016 US Bureau of Labor Statistics based on American Time Use Survey 2017 US Bureau of Labor Statistics based on American Time Use Survey 2018 Calculated by UNSD based on available country data from the Survey on the use of time and unpaid work 2007 to apply ICATUS.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%) Variable code: SL_DOM_TSPD Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-04-01.pdf Detailed sources: Calculated by UNSD based on available country data from the Albanian time use survey (ATUS) 2010-2011 to apply ICATUS. Calculated by UNSD based on available country data from the National Survey on time use of Algerians – ENET 2012 to apply ICATUS. Calculated by UNSD based on available country data from the Time Use Survey of the population in the Republic of Azerbaijan to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Annual Household Survey 2005 to apply ICATUS. Calculated by UNSD based on available country data from the Time-use and Volunteer Activities Survey to apply ICATUS. Data provided by the Economic Commission for Latin America and the Caribbean (ECLAC), on the basis of special tabulations from time-use survey. Australian Bureau of Statistics based on 2006 Time Use Survey Statistics Austria based on Time Use Survey 2008/09 National Statistical Service Republic of Armenia based on Armenian Time Use Pilot Survey National Statistical Service Republic of Armenia based on Time Use Sample Survey in the Republic of Armenia Calculated by UNSD based on available country data from the The Belgian Time Use Survey 1999 to apply ICATUS. Calculated by UNSD based on available country data from the Survey 2005 on the use of time in Belgium to apply ICATUS. Federal Planning Bureau Belgium based on BTUS2013 based on Harmonised European Belgian Time Use Survey Calculated by UNSD based on available country data from the Harmonised European Belgian Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Pilot Time use survey to apply ICATUS. Calculated by UNSD based on available country data from the 2015 Gross National Happiness Survey to apply ICATUS. Calculated by UNSD based on avai… | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21887 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of time spent on unpaid domestic chores, by sex, age and location (%) \n \n Variable code: SL_DOM_TSPDDC \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-04-01.pdf \n \n Detailed sources: Calculated by UNSD based on available country data from the Albanian time use survey (ATUS) 2010-2011 to apply ICATUS. Calculated by UNSD based on available country data from the National Survey on time use of Algerians \u2013 ENET 2012 to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Annual Household Survey 2005 to apply ICATUS. Calculated by UNSD based on available country data from the Time-use and Volunteer Activities Survey to apply ICATUS. Data provided by the Economic Commission for Latin America and the Caribbean (ECLAC), on the basis of special tabulations from time-use survey. Australian Bureau of Statistics based on 2006 Time Use Survey Statistics Austria based on Time Use Survey 2008/09 National Statistical Service Republic of Armenia based on Armenian Time Use Pilot Survey National Statistical Service Republic of Armenia based on Time Use Sample Survey in the Republic of Armenia Calculated by UNSD based on available country data from the The Belgian Time Use Survey 1999 to apply ICATUS. Calculated by UNSD based on available country data from the Survey 2005 on the use of time in Belgium to apply ICATUS. Calculated by UNSD based on available country data from the Harmonised European Belgian Time Use Survey to apply ICATUS. Federal Planning Bureau Belgium based on BTUS2013 based on Harmonised European Belgian Time Use Survey Calculated by UNSD based on available country data from the Pilot Time use survey to apply ICATUS. Calculated by UNSD based on available country data from the 2015 Gross National Happiness Survey to apply ICATUS. Calculated by UNSD based on available country data from the Pilot Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the 2009-2010 Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Belarus to apply ICATUS. INS, Cameroun based on Fourth Cameroon Household Survey ECAM 4 Statistics Canada based on General Social Survey 2005 - Cycle 19- Time Use Survey Statistics Canada based on General Social Survey 2010 - Cycle 24- Time Use Statistics Canada based on General Social Survey 2015-2016 - Cycle 29 - Time Use Instituto Nacional de Estad\u00edsticas Chile based on Time Use Survey 2007 Instituto Nacional de Estad\u00edsticas Chile based on Time Use Survey 2015 Calculated by UNSD based on available country data from the Time Use Survey in China to apply ICATUS. Calculated by UNSD based on available country data from the 2018 National Time Use Survey to apply ICATUS. DANE based on National Time Use Survey INEC based on National time use survey 2017 Calculated by UNSD based on available country data from the Danish Time-Use and Consumption Survey to apply ICATUS. Calculated by UNSD based on available country data from the Ethiopian Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Time use at different stages of life to apply ICATUS. Fiji Bureau of Statistics based on Employment and Unemployment Survey 2015-16 Statistics Finland\u00a0 based on Time Use Survey Institut National de la Statistique et des Etudes Economiques (INSEE) based on Survey on the use of time 2009-2010 / EDT Palestinian Central Bureau of Statistics (PCBS) based on Time Use Survey 1999-2000 Palestinian Central Bureau of Statistics (PCBS) based on Time Use Survey 2012/2013 Federal Statistical Office\u00a0 based on Time Use Survey in Germany Calculated by UNSD based on available country data from the Ghana Time Use Survey to apply ICATUS. Hellenic Statistical Authority (ELSTAT) based on Time use survey Calculated by UNSD based on available country data from the Thematic Household Survey (Time use) to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey to apply ICATUS. Hungarian Central Statistical Office based on Time use survey Calculated by UNSD based on available country data from the Time Use Survey in Urban Areas to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Iraq as Module of Iraq Household Socio-Economic Survey - HSES to apply ICATUS. Calculated by UNSD based on available country data from the The Irish National Time-Use Survey 2005 to apply ICATUS. Italian National Institute of Statistics (Istat) based on National Time Use Survey Ministry of Internal Affairs and Communications (MIC) based on Survey on Time Use and Leisure Activities Ministry of Internal Affairs and Communications (MIC) based on 2011 Survey on Time Use and Leisure Activities Ministry of Internal Affairs and Communications (MIC) based on 2016 Survey on Time Use and Leisure Activities Calculated by UNSD based on available country data from the Time use survey in Kazakhstan to apply ICATUS. Calculated by UNSD based on available country data from the The time use budget of population to apply ICATUS. The Agency of the Republic of Kazakhstan on Statistics based on The time use budget of population Statistics Korea based on Time Use Survey Calculated by UNSD based on available country data from the Time Budget Survey to apply ICATUS. Calculated by UNSD based on available country data from the Lao Expenditure and consumption survey to apply ICATUS. Calculated by UNSD based on available country data from the Lao expenditure and consumption survey 2012/13 to apply ICATUS. Lao Statistics Bureau based on Labor force survey in Lao PDR- 2017 Calculated by UNSD based on available country data from the HETUS to apply ICATUS. Liberia Institute of Statistics and Geo-Information Services (LISGIS) based on Labour Force Survey 2010 Statistics Lithuania based on Time Use Survey Calculated by UNSD based on available country data from the Time use of Luxembourg residents to apply ICATUS. Calculated by UNSD based on available country data from the Unpaid work survey to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey 2002 (pilot) to apply ICATUS. Calculated by UNSD based on available country data from the The Continuous Multi-Purpose Household Survey (CMPHS) to apply ICATUS. INEGI based on National time use survey 2002 (Module in ENIGH) INEGI based on National time use survey 2009 INEGI based on National time use survey 2014 INEGI based on National time use survey 2019 National Statistical Office based on Time Use Survey (pilot) National Statistical Office based on Time Use Survey 2007 National Statistical Office based on Time use survey 2011 National Statistical Office based on Time use survey 2015 National Statistical Office based on Time use survey 2019 National Bureau of Statistics, Republic of Moldova based on Time use survey National Center for Statistics and Information (NCSI) based on Overall Monitoring of Annual National Indicators Survey National Center for Statistics and Information (NCSI) based on Time Use Survey Calculated by UNSD based on available country data from the Dutch Time Use Survey (TBO) to apply ICATUS. Calculated by UNSD based on available country data from the Dutch Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Dutch Time Use Survey (TBO) 2011 to apply ICATUS. Statistics Norway based on Time Use Survey Pakistan Bureau of Statistics based on Time Use Survey Direccion General de Estadistica, Encuestas y Censos (DGEEC) based on Time use survey 2016 Instituto Nacional de Estad\u00edstica e Inform\u00e1tica based on National Survey of Time Use 2010 Statistics Poland based on Time Use Survey Statistics Portugal based on National Survey on Time Use by Men and Women INSSE based on National Time Use Study INSSE based on Time Use of the Romanians - 2012 Calculated by UNSD based on available country data from the 2014 Time-use survey to apply ICATUS. Statistical Office of the Republic of Serbia based on Time Use Survey in Serbia Statistical Office of the Republic of Slovenia based on Time Use Survey Calculated by UNSD based on available country data from the Time Use Survey 2000 to apply ICATUS. Calculated by UNSD based on available country data from the Time Use Survey 2010 to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey 2002-2003 to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey 2009-2010 to apply ICATUS. Statistics Sweden based on The Swedish Time-Use Survey 2000 Statistics Sweden based on The Swedish Time Use Survey 2010/11 Federal\u00a0Statistical Office\u00a0FSO based on Swiss Labour Force Survey - Unpaid Work Module Calculated by UNSD based on available country data from the Time Budget of Women and Men in Tunisia to apply ICATUS. Turkish Statistical Institute (TurkStat) based on Turkey - Time Use Survey 2006 Turkish Statistical Institute (TurkStat) based on Turkey - Time Use Survey 2014-15 Uganda Bureau of Statistics based on time use survey Calculated by UNSD based on available country data from the Time use survey, 2014/2015 to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Egypt to apply ICATUS. Office for National Statistics based on United Kingdom Time Use Survey, 2000 Office for National Statistics based on United Kingdom Time Use Survey, 2014-2015 Calculated by UNSD based on available country data from the Integrated Labour Force Survey - Time Use Survey Module to apply ICATUS. US Bureau of Labor Statistics based on American Time Use Survey 2003 US Bureau of Labor Statistics based on American Time Use Survey 2004 US Bureau of Labor Statistics based on American Time Use Survey 2005 US Bureau of Labor Statistics based on American Time Use Survey 2006 US Bureau of Labor Statistics based on American Time Use Survey 2007 US Bureau of Labor Statistics based on American Time Use Survey 2008 US Bureau of Labor Statistics based on American Time Use Survey 2009 US Bureau of Labor Statistics based on American Time Use Survey 2010 US Bureau of Labor Statistics based on American Time Use Survey 2011 US Bureau of Labor Statistics based on American Time Use Survey 2012 US Bureau of Labor Statistics based on American Time Use Survey 2013 US Bureau of Labor Statistics based on American Time Use Survey 2014 US Bureau of Labor Statistics based on American Time Use Survey 2015 US Bureau of Labor Statistics based on American Time Use Survey 2016 US Bureau of Labor Statistics based on American Time Use Survey 2017 US Bureau of Labor Statistics based on American Time Use Survey 2018 Calculated by UNSD based on available country data from the Survey on the use of time and unpaid work 2007 to apply ICATUS.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of time spent on unpaid domestic chores, by sex, age and location (%) Variable code: SL_DOM_TSPDDC Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-04-01.pdf Detailed sources: Calculated by UNSD based on available country data from the Albanian time use survey (ATUS) 2010-2011 to apply ICATUS. Calculated by UNSD based on available country data from the National Survey on time use of Algerians – ENET 2012 to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Annual Household Survey 2005 to apply ICATUS. Calculated by UNSD based on available country data from the Time-use and Volunteer Activities Survey to apply ICATUS. Data provided by the Economic Commission for Latin America and the Caribbean (ECLAC), on the basis of special tabulations from time-use survey. Australian Bureau of Statistics based on 2006 Time Use Survey Statistics Austria based on Time Use Survey 2008/09 National Statistical Service Republic of Armenia based on Armenian Time Use Pilot Survey National Statistical Service Republic of Armenia based on Time Use Sample Survey in the Republic of Armenia Calculated by UNSD based on available country data from the The Belgian Time Use Survey 1999 to apply ICATUS. Calculated by UNSD based on available country data from the Survey 2005 on the use of time in Belgium to apply ICATUS. Calculated by UNSD based on available country data from the Harmonised European Belgian Time Use Survey to apply ICATUS. Federal Planning Bureau Belgium based on BTUS2013 based on Harmonised European Belgian Time Use Survey Calculated by UNSD based on available country data from the Pilot Time use survey to apply ICATUS. Calculated by UNSD based on available country data from the 2015 Gross National Happiness Survey to apply ICATUS. Calculated by UNSD based on available country data from the Pilot Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Time Use Survey to apply I… | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21886 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of time spent on unpaid care work, by sex, age and location (%) \n \n Variable code: SL_DOM_TSPDCW \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-04-01.pdf \n \n Detailed sources: Calculated by UNSD based on available country data from the Albanian time use survey (ATUS) 2010-2011 to apply ICATUS. Calculated by UNSD based on available country data from the National Survey on time use of Algerians \u2013 ENET 2012 to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Annual Household Survey 2005 to apply ICATUS. Calculated by UNSD based on available country data from the Time-use and Volunteer Activities Survey to apply ICATUS. Data provided by the Economic Commission for Latin America and the Caribbean (ECLAC), on the basis of special tabulations from time-use survey. Australian Bureau of Statistics based on 2006 Time Use Survey Statistics Austria based on Time Use Survey 2008/09 National Statistical Service Republic of Armenia based on Armenian Time Use Pilot Survey National Statistical Service Republic of Armenia based on Time Use Sample Survey in the Republic of Armenia Calculated by UNSD based on available country data from the The Belgian Time Use Survey 1999 to apply ICATUS. Calculated by UNSD based on available country data from the Survey 2005 on the use of time in Belgium to apply ICATUS. Calculated by UNSD based on available country data from the Harmonised European Belgian Time Use Survey to apply ICATUS. Federal Planning Bureau Belgium based on BTUS2013 based on Harmonised European Belgian Time Use Survey Calculated by UNSD based on available country data from the Pilot Time use survey to apply ICATUS. Calculated by UNSD based on available country data from the 2015 Gross National Happiness Survey to apply ICATUS. Calculated by UNSD based on available country data from the Pilot Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the 2009-2010 Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Belarus to apply ICATUS. INS, Cameroun based on Fourth Cameroon Household Survey ECAM 4 Statistics Canada based on General Social Survey 2005 - Cycle 19- Time Use Survey Statistics Canada based on General Social Survey 2010 - Cycle 24- Time Use Statistics Canada based on General Social Survey 2015-2016 - Cycle 29 - Time Use Instituto Nacional de Estad\u00edsticas Chile based on Time Use Survey 2007 Instituto Nacional de Estad\u00edsticas Chile based on Time Use Survey 2015 Calculated by UNSD based on available country data from the Time Use Survey in China to apply ICATUS. Calculated by UNSD based on available country data from the 2018 National Time Use Survey to apply ICATUS. DANE based on National Time Use Survey INEC based on National time use survey 2017 Calculated by UNSD based on available country data from the Danish Time-Use and Consumption Survey to apply ICATUS. Calculated by UNSD based on available country data from the Ethiopian Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Time use at different stages of life to apply ICATUS. Fiji Bureau of Statistics based on Employment and Unemployment Survey 2015-16 Statistics Finland\u00a0 based on Time Use Survey Institut National de la Statistique et des Etudes Economiques (INSEE) based on Survey on the use of time 2009-2010 / EDT Palestinian Central Bureau of Statistics (PCBS) based on Time Use Survey 1999-2000 Palestinian Central Bureau of Statistics (PCBS) based on Time Use Survey 2012/2013 Federal Statistical Office\u00a0 based on Time Use Survey in Germany Calculated by UNSD based on available country data from the Ghana Time Use Survey to apply ICATUS. Hellenic Statistical Authority (ELSTAT) based on Time use survey Calculated by UNSD based on available country data from the Thematic Household Survey (Time use) to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey to apply ICATUS. Hungarian Central Statistical Office based on Time use survey Calculated by UNSD based on available country data from the Time Use Survey in Urban Areas to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Iraq as Module of Iraq Household Socio-Economic Survey - HSES to apply ICATUS. Calculated by UNSD based on available country data from the The Irish National Time-Use Survey 2005 to apply ICATUS. Italian National Institute of Statistics (Istat) based on National Time Use Survey Ministry of Internal Affairs and Communications (MIC) based on Survey on Time Use and Leisure Activities Ministry of Internal Affairs and Communications (MIC) based on 2011 Survey on Time Use and Leisure Activities Ministry of Internal Affairs and Communications (MIC) based on 2016 Survey on Time Use and Leisure Activities Calculated by UNSD based on available country data from the Time use survey in Kazakhstan to apply ICATUS. Calculated by UNSD based on available country data from the The time use budget of population to apply ICATUS. The Agency of the Republic of Kazakhstan on Statistics based on The time use budget of population Statistics Korea based on Time Use Survey Calculated by UNSD based on available country data from the Time Budget Survey to apply ICATUS. Calculated by UNSD based on available country data from the Lao Expenditure and consumption survey to apply ICATUS. Calculated by UNSD based on available country data from the Lao expenditure and consumption survey 2012/13 to apply ICATUS. Lao Statistics Bureau based on Labor force survey in Lao PDR- 2017 Calculated by UNSD based on available country data from the HETUS to apply ICATUS. Liberia Institute of Statistics and Geo-Information Services (LISGIS) based on Labour Force Survey 2010 Statistics Lithuania based on Time Use Survey Calculated by UNSD based on available country data from the Time use of Luxembourg residents to apply ICATUS. Calculated by UNSD based on available country data from the Unpaid work survey to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey 2002 (pilot) to apply ICATUS. Calculated by UNSD based on available country data from the The Continuous Multi-Purpose Household Survey (CMPHS) to apply ICATUS. INEGI based on National time use survey 2002 (Module in ENIGH) INEGI based on National time use survey 2009 INEGI based on National time use survey 2014 INEGI based on National time use survey 2019 National Statistical Office based on Time Use Survey (pilot) National Statistical Office based on Time Use Survey 2007 National Statistical Office based on Time use survey 2011 National Statistical Office based on Time use survey 2015 National Statistical Office based on Time use survey 2019 National Bureau of Statistics, Republic of Moldova based on Time use survey National Center for Statistics and Information (NCSI) based on Overall Monitoring of Annual National Indicators Survey National Center for Statistics and Information (NCSI) based on Time Use Survey Calculated by UNSD based on available country data from the Dutch Time Use Survey (TBO) to apply ICATUS. Calculated by UNSD based on available country data from the Dutch Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Dutch Time Use Survey (TBO) 2011 to apply ICATUS. Statistics Norway based on Time Use Survey Pakistan Bureau of Statistics based on Time Use Survey Direccion General de Estadistica, Encuestas y Censos (DGEEC) based on Time use survey 2016 Instituto Nacional de Estad\u00edstica e Inform\u00e1tica based on National Survey of Time Use 2010 Statistics Poland based on Time Use Survey Statistics Portugal based on National Survey on Time Use by Men and Women INSSE based on National Time Use Study INSSE based on Time Use of the Romanians - 2012 Calculated by UNSD based on available country data from the 2014 Time-use survey to apply ICATUS. Statistical Office of the Republic of Serbia based on Time Use Survey in Serbia Statistical Office of the Republic of Slovenia based on Time Use Survey Calculated by UNSD based on available country data from the Time Use Survey 2000 to apply ICATUS. Calculated by UNSD based on available country data from the Time Use Survey 2010 to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey 2002-2003 to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey 2009-2010 to apply ICATUS. Statistics Sweden based on The Swedish Time-Use Survey 2000 Statistics Sweden based on The Swedish Time Use Survey 2010/11 Federal\u00a0Statistical Office\u00a0FSO based on Swiss Labour Force Survey - Unpaid Work Module Calculated by UNSD based on available country data from the Time Budget of Women and Men in Tunisia to apply ICATUS. Turkish Statistical Institute (TurkStat) based on Turkey - Time Use Survey 2006 Turkish Statistical Institute (TurkStat) based on Turkey - Time Use Survey 2014-15 Uganda Bureau of Statistics based on time use survey Calculated by UNSD based on available country data from the Time use survey, 2014/2015 to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Egypt to apply ICATUS. Office for National Statistics based on United Kingdom Time Use Survey, 2000 Office for National Statistics based on United Kingdom Time Use Survey, 2014-2015 Calculated by UNSD based on available country data from the Integrated Labour Force Survey - Time Use Survey Module to apply ICATUS. US Bureau of Labor Statistics based on American Time Use Survey 2003 US Bureau of Labor Statistics based on American Time Use Survey 2004 US Bureau of Labor Statistics based on American Time Use Survey 2005 US Bureau of Labor Statistics based on American Time Use Survey 2006 US Bureau of Labor Statistics based on American Time Use Survey 2007 US Bureau of Labor Statistics based on American Time Use Survey 2008 US Bureau of Labor Statistics based on American Time Use Survey 2009 US Bureau of Labor Statistics based on American Time Use Survey 2010 US Bureau of Labor Statistics based on American Time Use Survey 2011 US Bureau of Labor Statistics based on American Time Use Survey 2012 US Bureau of Labor Statistics based on American Time Use Survey 2013 US Bureau of Labor Statistics based on American Time Use Survey 2014 US Bureau of Labor Statistics based on American Time Use Survey 2015 US Bureau of Labor Statistics based on American Time Use Survey 2016 US Bureau of Labor Statistics based on American Time Use Survey 2017 US Bureau of Labor Statistics based on American Time Use Survey 2018 Calculated by UNSD based on available country data from the Survey on the use of time and unpaid work 2007 to apply ICATUS.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of time spent on unpaid care work, by sex, age and location (%) Variable code: SL_DOM_TSPDCW Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-04-01.pdf Detailed sources: Calculated by UNSD based on available country data from the Albanian time use survey (ATUS) 2010-2011 to apply ICATUS. Calculated by UNSD based on available country data from the National Survey on time use of Algerians – ENET 2012 to apply ICATUS. Calculated by UNSD based on available country data from the Time use survey in Annual Household Survey 2005 to apply ICATUS. Calculated by UNSD based on available country data from the Time-use and Volunteer Activities Survey to apply ICATUS. Data provided by the Economic Commission for Latin America and the Caribbean (ECLAC), on the basis of special tabulations from time-use survey. Australian Bureau of Statistics based on 2006 Time Use Survey Statistics Austria based on Time Use Survey 2008/09 National Statistical Service Republic of Armenia based on Armenian Time Use Pilot Survey National Statistical Service Republic of Armenia based on Time Use Sample Survey in the Republic of Armenia Calculated by UNSD based on available country data from the The Belgian Time Use Survey 1999 to apply ICATUS. Calculated by UNSD based on available country data from the Survey 2005 on the use of time in Belgium to apply ICATUS. Calculated by UNSD based on available country data from the Harmonised European Belgian Time Use Survey to apply ICATUS. Federal Planning Bureau Belgium based on BTUS2013 based on Harmonised European Belgian Time Use Survey Calculated by UNSD based on available country data from the Pilot Time use survey to apply ICATUS. Calculated by UNSD based on available country data from the 2015 Gross National Happiness Survey to apply ICATUS. Calculated by UNSD based on available country data from the Pilot Time Use Survey to apply ICATUS. Calculated by UNSD based on available country data from the Time Use Survey to apply ICATUS.… | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21885 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of women aged 20-24 years who were married or in a union before age 15 (%) \n \n Variable code: SP_DYN_MRBF15 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-03-01.pdf \n \n Detailed sources: DHS, MICS and other national surveys ALCS DHS MICS DHS PNDS (recalculated) ENSANUT ENS/MICS Population and Health Survey PAPFAM NFHS MIDHS Baseline Survey ENADID ENPSF AIS ENDESA ENDES Singapore Department of Statistics Health and Demographic Survey SHHS", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of women aged 20-24 years who were married or in a union before age 15 (%) Variable code: SP_DYN_MRBF15 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-03-01.pdf Detailed sources: DHS, MICS and other national surveys ALCS DHS MICS DHS PNDS (recalculated) ENSANUT ENS/MICS Population and Health Survey PAPFAM NFHS MIDHS Baseline Survey ENADID ENPSF AIS ENDESA ENDES Singapore Department of Statistics Health and Demographic Survey SHHS | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21884 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of girls and women aged 15-49 years who have undergone female genital mutilation/cutting, by age (%) \n \n Variable code: SH_STA_FGMS \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-03-02.pdf \n \n Detailed sources: DHS, MICS and other national surveys DHS MICS Population and Health Survey PAPFAM DHS Health and Demographic Survey Health Issues Survey (DHS)", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of girls and women aged 15-49 years who have undergone female genital mutilation/cutting, by age (%) Variable code: SH_STA_FGMS Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-03-02.pdf Detailed sources: DHS, MICS and other national surveys DHS MICS Population and Health Survey PAPFAM DHS Health and Demographic Survey Health Issues Survey (DHS) | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21883 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of women aged 20-24 years who were married or in a union before age 18 (%) \n \n Variable code: SP_DYN_MRBF18 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-03-01.pdf \n \n Detailed sources: DHS, MICS and other national surveys ALCS DHS MICS DHS PNDS (recalculated) ENSANUT ENS/MICS Population and Health Survey Statistics Finland PAPFAM NFHS MIDHS Baseline Survey Statistics Lithuania ENADID ENPSF AIS ENDESA ENDES Singapore Department of Statistics Health and Demographic Survey SHHS Office for National Statistics", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of women aged 20-24 years who were married or in a union before age 18 (%) Variable code: SP_DYN_MRBF18 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-03-01.pdf Detailed sources: DHS, MICS and other national surveys ALCS DHS MICS DHS PNDS (recalculated) ENSANUT ENS/MICS Population and Health Survey Statistics Finland PAPFAM NFHS MIDHS Baseline Survey Statistics Lithuania ENADID ENPSF AIS ENDESA ENDES Singapore Department of Statistics Health and Demographic Survey SHHS Office for National Statistics | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21882 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months, by age (%) \n \n Variable code: VC_VAW_MARR \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-02-01.pdf \n \n Detailed sources: All Surveys and studies that are population-based, representative at the national or sub-national level, conducted between 2000 and 2018 and measured IPV using act-specific questions.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months, by age (%) Variable code: VC_VAW_MARR Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-02-01.pdf Detailed sources: All Surveys and studies that are population-based, representative at the national or sub-national level, conducted between 2000 and 2018 and measured IPV using act-specific questions. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21881 | UN Women | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 4: marriage and family \n \n Variable code: SG_LGL_GENEQMAR \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-01-01.pdf \n \n Detailed sources: UN Women", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Women" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 4: marriage and family Variable code: SG_LGL_GENEQMAR Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-01-01.pdf Detailed sources: UN Women | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21880 | UN Women | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 3: employment and economic benefits \n \n Variable code: SG_LGL_GENEQEMP \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-01-01.pdf \n \n Detailed sources: UN Women", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Women" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 3: employment and economic benefits Variable code: SG_LGL_GENEQEMP Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-01-01.pdf Detailed sources: UN Women | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21879 | UN Women | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 2: violence against women \n \n Variable code: SG_LGL_GENEQVAW \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-01-01.pdf \n \n Detailed sources: UN Women", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Women" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 2: violence against women Variable code: SG_LGL_GENEQVAW Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-01-01.pdf Detailed sources: UN Women | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21878 | UN Women | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 1: overarching legal frameworks and public life \n \n Variable code: SG_LGL_GENEQLFP \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-01-01.pdf \n \n Detailed sources: UN Women", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Women" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 1: overarching legal frameworks and public life Variable code: SG_LGL_GENEQLFP Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-05-01-01.pdf Detailed sources: UN Women | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21877 | Organisation for Economic Co-operation and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Total official development assistance (gross disbursement) for technical cooperation (millions of 2019 United States dollars) \n \n Variable code: DC_FTA_TOTAL \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-09-01.pdf \n \n Detailed sources: The Organisation for Economic Co-operation and Development (OECD).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Organisation for Economic Co-operation and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Total official development assistance (gross disbursement) for technical cooperation (millions of 2019 United States dollars) Variable code: DC_FTA_TOTAL Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-09-01.pdf Detailed sources: The Organisation for Economic Co-operation and Development (OECD). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21876 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Internet users per 100 inhabitants \n \n Variable code: IT_USE_ii99 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-08-01.pdf \n \n Detailed sources: ITU estimates. ITU estimate. Ministry of Communications. Ministry of Communications & Information Technology ITU estimate. Albanian Telecom Enterprise. Ministry of Transport and Telecommunications. Minister for Innovation and ICT ITU Estimate. INSTAT (Institute of Statistics) Data based on the World Telecommunication/ICT Indicators Database, 2020, International Telecommunication Union (ITU) Autorit\u00e9 de R\u00e9gulation de la Poste et des T\u00e9lecommunications (ARPT). Autorit\u00e9 de R\u00e9gulation de la Poste et des T\u00e9l\u00e9communications Ministry of Post, Telecommunications, Technologies and Digital Servei de Telecomunicacions d'Andorra (STA). Andorra Telecom Servei de Telecomunicacions d'Andorra Servei d'studis - Ministeri de Finances Instituto Nacional de Estat\u00edstica. Cable and Wireless (W.I.) Ltd. (C&W). A.P.U.A. Telephones. Digicel. Statistics Division, Census. State Statistical Committee State Statistical Committee of Azerbaijan Republic State Statistical Committee of the Republic of Azerbaijan SECOM. Comisi\u00f3n Nacional de Comunicaciones ITU estimate based on INDEC's survey. Instituto Nacional de Estadistica y Censos NATIONAL INSTITUTE OF STATISTICS AND CENSUS (INDEC) ABS Household Use of Information Technology Survey. Australian Bureau of Statistics. Australian Bureau of Statistics. Australian Bureau of Statistics Austria Internet Monitor. Eurostat. Statistik Austria. ITU Statistik Austria BAHAMAS TELECOMMUNICATIONS COMPANY LTD. Bahamas Telecommunications Company Ltd. Telecommunications Regulatory Authority (TRA) Information and E-Government Authority Bangladesh Bureau of Statistics Bangladesh Bureau of Statistics(BBS) Ministry of Transport and Communications National Statistical Service The Statistical Committee of the Republic of Armenia Statistical Committee of RA Cable and Wireless (Barbados) Limited. Ministry of Energy and Public Utilities. National Council for Science and Technology (NCST). Institut belge des services postaux et des t\u00e9l\u00e9communications (IBPT). Institut belge des services postaux et des t\u00e9l\u00e9communications Belgian Institute for Postal Services and Telecommunications Eurostat Direction G\u00e9n\u00e9rale Statistique - Statistics Belgium Statistics Belgium (Statbel) Bermuda Government Department of Statistics. Bermuda Government Department of Statistics. Bhutan InfoComm and Media Authority Ministry of Information & Communications ITU estimate. SITTEL. ITU estimate. Superintendencia de Telecomunicaciones. Instituto Nacional de Estad\u00edstica Statistic National Institute Public Enterprise PTT Bosnia and Herzegovina (PTT BIH). Communications Regulatory Agency B & H. Communication Regulatory Agency Agency for Statistics of Bosnia and Herzegovina Botswana Telecommunication Corporation. Botswana Telecommunications Authority (BTA). BOTSWANA TELECOMMUNICATIONS AUTHORITY Estimate from BOTSWANA TELECOMMUNICATIONS AUTHORITY Botswana Telecommunications Authority Central Statistics Office. IBGE. ITU estimate based on Brazilian Internet Steering Committee. Brazilian Internet Steering Committee. NIC.br Brazilian Internet Steering Committee Brazilian Institute of Geography and Statistics Belize Telecommunications Ltd (BTL). Staistical Institute of Belize Telecommunications Regulatory Commission Jabatan Telekom Brunei (JTB). Ministry of Communications. AiTi. Authority for Info-communications Technology Industry of Brunei Darussalam (AITI) Authority for Info-communications Technology Industry of Brunei Darussalam Bulgarian Telecommunications Company Ltd. Communications Regulation Commission. Communications Regulation Commission National Statistical Institute Ministry of Communications, Posts and Telegraphs. Ministry of Communications, Posts and Telegraphs Central Statistical Organization Agence de R\u00e9gulation et de Contr\u00f4le des T\u00e9l\u00e9communications (ARCT) Institut de Statistiques et d'tudes Economiques Beltelecom. National Statistical Committee. National Statistical Committee of the Republic of Belarus (Belstat) National Statistical Committee of the Republic of Belarus \u041d\u0430\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043a\u043e\u043c\u0438\u0442\u0435\u0442 \u0420\u0435\u0441\u043f\u0443\u0431\u043b\u0438\u043a\u0438 \u0411\u0435\u043b\u0430\u0440\u0443\u0441\u044c Ministry of Post and Telecommunications (MPTC). MINISTRY OF POSTS & TELECOMMUNICATIONS OF CAMBODIA (MPTC) Ministry of Posts and Telecommunications National Institute of Statistics ITU estimate based on National Institute of Statistics Agence de R\u00e9gulation des Statistiques Institut National de la Statistique Statistics Canada. CIUS. Cabo Verde Telecom. Instituto das Comunica\u00e7\u00f5es e das Tecnologias de Informa\u00e7\u00e3o. Instituto Nacional de Estat\u00edstica INSTITUTO NACIONAL DE ESTATISTICA Information and Communications Technology Authority ITU estimate confirmed by the Information and Communications Technology Authority Soci\u00e9t\u00e9 Centrafricaine des T\u00e9l\u00e9communications. Telecommunications Regulatory Commission of Sri Lanka. Telecommunications Regulatory Commission of Sri Lanka Department of Census and Statistics SOTEL. Office Tchadien de R\u00e9gulation des T\u00e9l\u00e9communications. Office Tchadien de R\u00e9gulation des T\u00e9l\u00e9communications OSILAC, ECLAC. Ministerio de Planificaci\u00f3n. Ministerio Desarrollo Social ITU estimate. Subsecretar\u00eda de Telecomunicaciones CNNIC. Ministry of Information Industry (MII). Ministry of Industry and Information Technology ITU Research based on CNNIC report. Directorate General of Telecommunications (DGT). National Communications Commission The National Development Council. Ministerio de Comunicaciones. Ministry of Communications' estimate. Departamento Administrativo Nacional de Estad\u00edstica-DANE. Departamento Administrativo Nacional de Estad\u00edstica - DANE Departamento Administrativo Nacional de Estadistica (DANE) Direction G\u00e9nerale de l'Administration Centrale des Postes et T\u00e9l\u00e9communications du Congo. Agence de R\u00e9gulation des Postes et des Communications Electroniques Telecom Cook Islands Ltd. Cook Islands Statistics Office Instituto Nacional de Estad\u00edstica y Censos ICE-Telecomunicaciones Instituto Nacional de Estadisticas y Censos (INEC) Instituto Nacional de Estadisticas y Censos Croatian Post and Electronic Communications Agency (HAKOM). Croatian Post and Electronic Communications Agency (HAKOM) Croatian Bureau of Statistics Ministerio de la Inform\u00e1tica y las Comunicaciones. ONE. Ministerio de la Inform\u00e1tica y las Comunicaciones Oficina Nacional de Estadisticas (ONE) Oficina Nacional de Estadisticas e Informaci\u00f3n (ONEI) Oficina Nacional de Estadisticas e Informacion Oficina Nacional de Estadisticas e Informacion ESIS. ESIS. ESIS. ESIS. ITU estimate based on Eurostat. Statistical Service of Cyprus STATISTICAL SERVICE OF CYPRUS Ministry of Economy. Czech Telecommunication Office. Ministry of Economy. Czech Telecommunication Office estimate. Czech Statistical Office. Czech Statistical Office Autorit\u00e9 Transitoire de R\u00e9gulation des Postes et T\u00e9l\u00e9communications NSO. MR&IT. National IT- and Telecom Agency NITA Statistics Denmark National Telecommunications Regulatory Commission ECTEL Instituto Dominicano de las Telecomunicaciones (INDOTEL). Instituto Dominicano de las Telecomunicaciones (INDOTEL) Oficina Nacional Estadistica. Oficina Nacional de Estadistica Secretar\u00eda Nacional de Telecomunicaciones (SENATEL) Instituto Nacional de Estadistica y Censos - INEC INSTITUTO NACIONAL DE ESTADISTICA Y CENSOS - INEC Superintendencia General de Electricidad y Telecomunicaciones. DIGESTYC Direcci\u00f3n General de Estad\u00edstica y Censos. (DIGESTYC) Direccion General de Estadistica y Censos La Soci\u00e9t\u00e9 Anonyme de T\u00e9l\u00e9communications de la R\u00e9publique de Guin\u00e9e Equatoriale Ethiopian Telecommunications Corporation (ETC). Ethiopian Telecommunication Agency. Ethiopian Telecommunication Agency Ministry of Communications and Information Technology ITU estimate Ministry of Economic Affairs and Communications. Ministry of Economic Affairs and Communications estimate. Estonian Competition Authority Statistical Office of Estonia. Statistical Office of Estonia Post and Telecom Surveillance Authority Cable & Wireless South Atlantic Ltd Cable & Wireless Telecom Fiji. Ministry of Information, Communications & Media Relations. www.toy.fi. Statistics Finland. Statistics Finland M\u00e9diam\u00e9trie. Institut National de la Statistique et des Etudes Economiques Insee Service des postes et t\u00e9l\u00e9communications Service des Postes et T\u00e9l\u00e9communications Minist\u00e9re de la Communication et de la Culture, charg\u00e9 des Postes et des T\u00e9l\u00e9communications Direction de la Statistique et des Etudes D\u00e9mographiques Office des postes et des t\u00e9l\u00e9communications (OPT). Gabon Telecom S.A. Georgian National Communications Commission (GNCC). Georgian National Communications Commission Ministry of Economy and Sustainable Development of Georgia National Statistics Office of Georgia National Statistics Office of Georgia - Geostat The Gambia Public Utilities Regulatory Authority. The Gambia Public Utilities Regulatory Authority Palestinian Central Bureau of Statistics ITU estimate based on Palestinian Central Bureau of Statistics (N)onliner-Atlas. Federal Statistical Office Ghana Telecom. Ghana Telecom estimate. National Communications Authority (NCA). National Communications Authority Ghana Statistical Service. Ghana Statistical Service GNC Networks Limited. Gibraltar Regulatory Authority NSO, 2006 Kiribati HIES Telecommunications Authority of Kiribati Hellenic Telecommunications & Post Commission (EETT). Hellenic Telecommunications & Post Commission and EL.STAT Hellenic Telecommunications & Post Commission Hellenic Statistical Authority TELE Greenland Tele Greenland A/S Cable & Wireless Grenada Ltd. trading as LIME Guam Telephone Authority. Minist\u00e8re de la Communication et des Nouvelles Technologies de l'Information. Minist\u00e8re de la Communication et des Nouvelles Technologies de l'Information National Frequency Management Unit Institut Haitien de Statistique et d'nformatique ITU based on ECLAC, OSILAC. Instituto Nacional de Estadistica de Honduras (INE) Comisi\u00f3n Nacional de Telecomunicaciones (CONATEL) Instituto Nacional de Estadistica Census and Statistics Department Census and Statistics Department. Office of the Telecommunications Authority National Communications Authority. Eurostat. Hungarian Central Statistical Office Hungarian Central Statistical Office Iceland Telecom Ltd. Post and Telecom Administration Department of Telecommunications (DOT). Ministry of Communications and Information Technology. Internet in India [I Cube] Report 2007. Department of Telecommunications, Ministry of Communications & IT DoT / TRAI. Ministry of Statistics and Programme Implementation Indonesian Internet Service Provider Association. Ministry of Communication and Information Technology Badan Pusat Statistik. BPS-Statistics Indonesia BADAN PUSAT STATISTIK (STATISTICS INDONESIA) Ministry of Information and Communications Technology. Communications Regulatory Authority (CRA). Statistical Centre of Iran (SCI) Statistical Center of Iran. Ministry of Communications Communications and Media Commission Amarach. Central Statistics Office Central Bureau of Statistics. Central Bureau of Statistics CENTRAL BUREAU OF STATISTICS IDC. Istat/ Italian National Institute of Statistics. Italian National Institute of Statistics ARTCI Cable & Wireless. Office of Utilities Regulation Statistical Institute of Jamaica Ministry of Internal Affairs and Communications (MIC). Ministry of Internal Affairs and Communications (MIC); Telecommunications Carriers Associations (TCA). Ministry of Internal Affairs and Communications. Ministry of Internal Affairs and Communications. Ministry of Internal Affairs and Communications Ministry of the Republic of Kazakhstan for Communications and Information The Agency of the Republic of Kazakhstan on Statistics Agency of the Republic of Kazakhstan on Statistics. Committee on Statistics, Ministry of National Economy of the Republic of Kazakhstan Ministry of National Economy of the Republic of Kazakhstan Committee on Statistics Telecommunications Regulatory Commission. Department of Statistics. Department of Statistics of Jordan Kenya National Bureau of Statistics National Bureau of Statistics and Communications Commission of Kenya. KENYA NATIONAL BUREAU OF STATISTICS Ministry of Posts and Telecommunications. KRNIC. NIDA. KISA. Korea Communications Commission KCC and KISA. Korea Communications Commission (KCC) Ministry of Science, ICT & Future Planning(MSIP) Ministry of Science and ICT Ministriy of Sceience and ICT(MSIT) Central Statistical Bureau Communication and Information Technology Regulatory Authority State Communication Agency under the Government of the Kyrgyz Republic National Authority of Post and Telecommunication Ministry of Posts and Telecommunications Lebanese Broadcasting International. Minist\u00e8re des T\u00e9l\u00e9communications Presidency of the Council of Ministers Telecomm Lesotho (TCL). Lesotho Telecommunications Authority (LTA). Lesotho Telecommunications Authority LCA Ministry of Transport. Ministry of Transport Central Statistical Bureau of Latvia Liberia Telecommunications Authority Ministry of Transport and Communications. Office for Communications Lithuanian Telecom. Statistics Lithuania. Statistics Lithuania Institut Luxembourgeois de R\u00e9gulation. ILRES. Eurostat and Statec. Service Central de la Statistique et des Etudes Economiques (STATEC) Estimated by DSTR. Statistics and Census Service Statisitics and Census Service Malawi Communications Regulatory Authority. Malawi Communications Regulatory Authority Malawi Communications Regulatory Authority PIKOM. Malaysian Communications and Multimedia Malaysia Malaysian Communications and Multimedia Commission Department of Statistics Department of Statistics, Malaysia Dhivehi Raajjey Ge Gulhun Private Limited (DHIRAAGU). Telecommunications Authority of Maldives (TAM). Communications Authority of Maldives Statistics Division, Department of National Planning Comit\u00e9 de R\u00e9gulation des T\u00e9l\u00e9commnications CRT Institut National de la Statistique (ex Direction Nationale de la Statistique et de l'Informatique) Malta Communications Authority. Malta Communications Authority National Statistics Office Mauritius Telecom. Information Communication Technologies Authority Statistics Mauritius COFETEL. INEGI. Comisi\u00f3n Federal de Telecomunicaciones Comisi\u00f3n Federal de Telecomunicaciones de M\u00e9xico INEGI Instituto Nacional de Estad\u00edstica y Geograf\u00eda (INEGI) Direction des Communications Electroniques ITU estimate based on survey results 2010 and previous data from Communications Regulatory Commission of Mongolia National Statistical Office of Mongolia National Regulatory Agency for Electronic Communications and Information Technology Government of Moldova E-Government Center. Ministry of Information Technologies and Communication National Bureau of Statistics of the Republic of Moldova Agency for Telecommunications and Postal Services. Statistical Office of Montenegro - MONSTAT Statistical Office of Montenegro Ministry of Communications & Works Statistics Department Agence nationale de r\u00e9glementation des t\u00e9l\u00e9communications. Agence Nationale de R\u00e9glementation des T\u00e9l\u00e9communications AGENCE NATIONALE DE REGLEMENTATION DES TELECOMMUJNICATIONS Direction de la Statistique Direction de la Statistique Direction de la Statistique Telecomunica\u00e7oes de Mo\u00e7ambique (TDM). Instituto Nacional das Comunica\u00e7\u00f5es de Mo\u00e7ambique (INCM). INCM Instituto Nacional das Comunica\u00e7\u0151es de Mo\u00e7ambique Telecommunications Regulatory Authority Telecommunication Regulatory Authority ITA. Information Technology Authority (ITA) Ministry of Transport, Communications and Information Technology Telecom Namibia. Namibian Communications Commission (NCC). Nauru Bureau of Statistics Government Ministry of Finance ITU Estimate1. Nepal Telecom. Nepal Telecommunications Authority (NTA). Nepal Telecommunications Authority KPN, Libertel. Independent Post and Telecommunications Authority (OPTA). Statistics Netherlands. Statistics Netherlands Servicio di Telecomunicacion di Aruba (SETAR). Office des Postes et des T\u00e9l\u00e9communications (OPT). Office des Postes et T\u00e9l\u00e9communications de Nouvelle-Cal\u00e9donie Vanuatu National Statistics Office. Office of the Vanuatu Telecom Regulator Statistics New Zealand. Statistics New Zealand Instituto Nacional de Informaci\u00f3n de Desarrollo Instituto Nicaraguense de Telecomunicaciones y Correos Institut National de la Statistique (INS). Minist\u00e8re des Postes, des T\u00e9l\u00e9communications et de l'Economie Num\u00e9rique Nigerian Telecommunications Plc (NITEL). Nigerian Communications Commission (NCC). NCC estimate. National Bureau of Statistics (NBS) Statistics Norway Department of Transportation, Communications and Infrastructure National Telecommunications Authority. Pakistan Bureau of Statistics Pakistan Bureau of Statistics Autoridad Nacional de los Servicios P\u00fablicos Autoridad Nacional de los Servicios P\u00fablicos (ASEP) Instituto Nacional de Estad\u00edstica y Censo Telikom PNG. National Information & Communications Technology Authority Comisi\u00f3n Nacional de Telecomunicaciones. Direcci\u00f3n General de Estad\u00edstica, Encuestas y Censos Comisi\u00f3n Nacional de Telecomunicaciones Direcci\u00f3n General de Estad\u00edstica, Encuestas y Censos (DGEEC) Direccion General de Estadistica, Encuestas y Censos Maximixe estimate. Instituto Nacional de Estad\u00edstica e Inform\u00e1tica ITU estimate based on INEI. Ministerio de Transportes y Comunicaciones INSTITUTO NACIONAL DE ESTAD\u00cdSTICA E INFORM\u00c1TICA (INEI) Instituto Nacional de Estadistica e Informatica Instituto Nacional de Estad\u00edstica e Inform\u00e1tica - INEI National Telecommunications Commission (NTC). NATIONAL TELECOMMUNICATIONS COMMISSION Office of the National Statistician. Office of the National Statistician, Philippine Statistics Authority Office of Electronic Communications. Central Statistical Office. Central Statistical Office Statistics Poland EuroBarometer. ITU estimate. UMIC. Instituto Nacional de Estatistica Statistics Portugal Instituto das Comunica\u00e7oes da Guin\u00e9-Bissau. Communication Regulatory Authority. Puerto Rico Telephone Company (PRTC). Instituto de Estad\u00edsticas de Puerto Rico Puerto Rico Institute of Statistics Instituto de Estadisticas de Puerto Rico ictQATAR Supreme Council of Information & Communication Technology Ministry Of Information & Communication Technology (ictQATAR) Rom-Telecom. National Regulatory Authority for Communications. Ministry of Telecom and Mass Communications of the Russian Federation State Statistics Committe. Federal State Statistics Service of the Russian Federation Federal State Statistics Service (Rosstat) Agence Rwandaise de R\u00e9gulation des Services d'Utilit\u00e9 Publique (RURA) ITU based on RURA report. Cable & Wireless plc. (C&W). Cable & Wireless South Atlantic Ltd. Statistics Departments in St. Kitts and Nevis Ministry of the Public Service, Information and Broadcasting. ECTEL. Cable and Wireless (W.I.) Ltd. (C&W). National Telecommunications Regulatory Commission. Statistical Office Direzione Generale Poste e Telecomunicazioni. Direzione Generale Poste e Telecomunicazioni Companhia Santomense de Telecomuni\u00e7a\u00f4es s.a.r.l. (CST). Autoridade Geral de Regula\u00e7\u00e3o Saudi Telecommunications Company. Communication and Information Technology Commission. CITC Market Studies Department. CITC Market Studies Department. CITC Communication and Information Technology Commission Communications & IT Commission Communications andI nformation Technology Commision Soci\u00e9t\u00e9 Nationale des T\u00e9l\u00e9communications du S\u00e9n\u00e9gal (SONATEL). Agence de R\u00e9gulation des T\u00e9l\u00e9communications. Statistical Office of the Republic of Serbia. Republic Agency for Electronic Communications (RATEL) Statistical Office of the Republic of Serbia Ministry of Information Technology and Communication. MInistry of National Development Infocomm Development Authority of Singapore Infocomm Development Authority of Singapore. Infocomm Media Development Authority Ministry of Transport, Posts and Telecommunications. Eurostat. Eurostat. Eurostat. Ministry of Transport, Construction and Regional Development of the Slovak Republic Statistical Office of the Slovak Republic. Statistical Office of the Slovak Republic Vietnam Post & Telecommunications Corp. (VNPT). Ministry of Posts and Telematics (MPT). Business Monitor International Report. Ministry of Information and Communications VNNIC Telecommunications, Broadcasting and Post Agency. Statistical Office of the Republic of Slovenia. Statistical Office of the Republic of Slovenia Statistical Office of the Republic of Slovenia Media Africa, Internet Solutions, W2003-2004. World Wide Worx. Independent Communications Authority of South Africa ITU estimate based on SAARF. Statistics South Africa PTC, ZISPA, ITU estimate. Zimbabwe National Statistics Agency (ZIMSTAT) red.es. Spanish Internet Users Association. Comisi\u00f3n del Mercado de las Telecomunicaciones NTC. Telecommunicatiebedrijf Suriname (TELESUR). Telecommunications Authority Suriname (TAS) Swaziland Posts and Telecommunications Corporation (STPC). Swaziland Posts and Telecommunications Corporation Swedish Institute for Transport and Communications Analysis. Swedish Post and Telecom Agency Statistics Sweden Office f\u00e9d\u00e9ral de la statistique. Swiss Federal Statistical Office Office f\u00e9d\u00e9ral de la statistique Syrian Telecommunication Establishment Tajiktelecom. RCC. Communication Service under the Government of the Republic of Tajikistan NECTEC. Ministry of Information and Communication Technology National Statistical Office National Statistical Office of Thailand Institut national de la statistique et des \u00e9tudes \u00e9conomiques et d\u00e9mographiques Prime Minister's Office. Ministry of Information and Communication Telecommunications Services of Trinidad and Tobago (TSTT). Telecommunications Authority of Trinidad and Tobago Telecommunications Authority of Trinidad and Tobago (TATT) Emirates Telecommunications Corporation (ETISALAT). ITU estimate based on TRA. Telecommunications Regulatory Authority Federal Competitiveness and Statistics Authorithy Minist\u00e8re des Technologies de la Communication Secr\u00e9tariat d'Etat des Technologies de la Communication Minist\u00e8re des Technologies de l'Information et de la Communication T\u00fcrk Telekom\u00fcnikasyon A.S. Telecommunications Authority. Turkish Statistical Institution. Information and Communication Technologies Authority (ICTA) Turkish Statistical Institute Uganda Communications Commission (UCC). Uganda Communications Commission State Department of Communications & Information Technology. Estimate. State Statistics Committee of Ukraine State Service of Special Communications and Information Protection of Ukraine State Statistics Service of Ukraine Makedonski Telekomunikacii A.D. Agency for Electronic Communications State Statistical Office Telecom Egypt estimate. MICT. Ministry of Communications and Information Technology. Ministry of Communcations and Information Technology central agency for public mobilization and statistics-capmas ONS. Office for National Statistics Cable & Wireless Guernsey. CRC based on survey. 2004 HH ICT survey. Tanzania Telecommunications Company Ltd (TTCL). TCRA ITU estimate based on RIA. National Bureau of Statistics National Bureau of Statistics Federal Communications Commission United States Census Bureau US Census Bureau Virgin Islands Telephone Corporation (Vitelco). Autorit\u00e9 de R\u00e9gulation des T\u00e9l\u00e9communications \u00c9lectroniques (ARCE) Administraci\u00f3n Nacional de Telecomunicaciones (ANTEL). Instituto Nacional de Estad\u00edstica (INE). Unidad Reguladora de Servicios de Comunicaciones Instituto Nacional de Estadistica. INE Communication and Information Agency of Uzbekistan. State Committee of the Republic of Uzbekistan on Statistics Comisi\u00f3n Nacional de Telecomunicaciones (CONATEL). Comisi\u00f3n Nacional de Telecomunicaciones CONATEL Service des Postes et Telecommunications Samoa Communications Ltd. Ministry of Telecommunications and Information Technology. Ministry of Telecommunications and Information Technology Zambia Telecommunications Company Limited (Zamtel). Communications Authority. Communications Authority ZICTA.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Internet users per 100 inhabitants Variable code: IT_USE_ii99 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-08-01.pdf Detailed sources: ITU estimates. ITU estimate. Ministry of Communications. Ministry of Communications & Information Technology ITU estimate. Albanian Telecom Enterprise. Ministry of Transport and Telecommunications. Minister for Innovation and ICT ITU Estimate. INSTAT (Institute of Statistics) Data based on the World Telecommunication/ICT Indicators Database, 2020, International Telecommunication Union (ITU) Autorité de Régulation de la Poste et des Télecommunications (ARPT). Autorité de Régulation de la Poste et des Télécommunications Ministry of Post, Telecommunications, Technologies and Digital Servei de Telecomunicacions d'Andorra (STA). Andorra Telecom Servei de Telecomunicacions d'Andorra Servei d'studis - Ministeri de Finances Instituto Nacional de Estatística. Cable and Wireless (W.I.) Ltd. (C&W). A.P.U.A. Telephones. Digicel. Statistics Division, Census. State Statistical Committee State Statistical Committee of Azerbaijan Republic State Statistical Committee of the Republic of Azerbaijan SECOM. Comisión Nacional de Comunicaciones ITU estimate based on INDEC's survey. Instituto Nacional de Estadistica y Censos NATIONAL INSTITUTE OF STATISTICS AND CENSUS (INDEC) ABS Household Use of Information Technology Survey. Australian Bureau of Statistics. Australian Bureau of Statistics. Australian Bureau of Statistics Austria Internet Monitor. Eurostat. Statistik Austria. ITU Statistik Austria BAHAMAS TELECOMMUNICATIONS COMPANY LTD. Bahamas Telecommunications Company Ltd. Telecommunications Regulatory Authority (TRA) Information and E-Government Authority Bangladesh Bureau of Statistics Bangladesh Bureau of Statistics(BBS) Ministry of Transport and Communications National Statistical Service The Statistical Committee of the Republic of Armenia Statistical Committee of RA Cable and Wireless (Barbados) Limited. Ministry of Energy an… | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21875 | International Telecommunication Union | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Fixed Internet broadband subscriptions per 100\u00a0inhabitants, by speed (per 100 inhabitants) \n \n Variable code: IT_NET_BBND \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-06-01.pdf \n \n Detailed sources: Data based on the World Telecommunication/ICT Indicators Database, 2020, International Telecommunication Union (ITU)", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "International Telecommunication Union" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Fixed Internet broadband subscriptions per 100 inhabitants, by speed (per 100 inhabitants) Variable code: IT_NET_BBND Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-06-01.pdf Detailed sources: Data based on the World Telecommunication/ICT Indicators Database, 2020, International Telecommunication Union (ITU) | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21874 | Data from multiple sources compiled by the UN | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Number of fixed Internet broadband subscriptions, by speed (number) \n \n Variable code: IT_NET_BBNDN \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-06-01.pdf \n \n Detailed sources: Ministry of Communications. ITU estimate. Afghanistan Telecommunication Regulatory Authority Ministry of Communications & Information Technology (MCIT) Afghanistan Telecom Regulatory Authority Ministry of Transport and Telecommunications. Ministry of Public Works Transport and Telcommunication. National Agency of Information Society. Minister for Innovation and ICT National Agency on Information Society Ministry of Innovation and Public Administration/National Agency for Information Society Minister of State for the Innovation and Public Administration AKEP Ministry of Infrastructure and Energy Autorit\u00e9 de R\u00e9gulation de la Poste et des T\u00e9lecommunications (ARPT). ITU estimate. Autorit\u00e9 de R\u00e9gulation de la Poste et des T\u00e9l\u00e9communications Minist\u00e8re de la Poste et des Technologies de l'Information et de la Communication ITU WTID2020 Minist\u00e8re de la Poste et des Technologies de l'Information et de la Communication Minist\u00e8re de la Poste, des T\u00e9l\u00e9communications, des Technologies et du Num\u00e9rique Minist\u00e8re de la Poste et des T\u00e9l\u00e9communications Andorra Telecom Servei de Telecomunicacions d'Andorra Andorra Telecom SAU ANGOLAN COMMUNICATIONS REGULATORY AUTHORITY Angolan Institute of Communications Telecom Divison/Ministry of Information, Broadcasting, Telecommunications, Science & Technology Telecom Divison/Ministry of Telecommunications, Science & Technology Telecoms Divison/Ministry of Information, Broadcasting, Telecommunications, & Information Technology Ministry of Information, Broadcasting, Telecommunications, and Information Technology Ministry of Information, Broadcasting, Telecommunications and Information Technology Ministry of Communications and Information Technologies. Ministry of Communications and Information Technologies of the Republic of Azerbaijan Ministry of Communications and Information Technologies Ministry of Communications and Information Technologies (MC&IT) Ministry of Communications and High Technologies (MC&HT) Ministry of Transport, Communications and High Technologies Comisi\u00f3n Nacional de Telecomunicaciones. Comisi\u00f3n Nacional de Comunicaciones Ente Nacional de Comunicaciones ACCC. ITU estimate based on ABS Household Use of Information Technology Survey. ABS. Department of Communications ABS Department of Communications and the Arts Department of Infrastructure, Transport, Regional Development and Communications Federal Ministry for Science and Transport. Austrian Regulatory Authority for Broadcasting and Telecommunications (RTR-GmbH). OECD. Regulatory Authority for Broadcasting and Telecommunications (Rundfunk und Telekom Regulierungs-GmbH; RTR-GmbH) Rundfunk und Telekom Regulierungs-GmbH Austrian Regulatory Authority for Broadcasting and Telecommunications RTR GmbH Batelco, Bahamas Telecommunications Corporation. Bahamas Telecommunications Company Ltd. (BTC) Bahamas Telecommunications Company Ltd. Utilities Regulation and Competition Authority Bahrain Telecommunications Company. Telecommunications Regulatory Authority (TRA). Telecommunications Regulatory Authority TRA. Telecommunications Regulatory Authority (TRA Bahrain) TRA Bahrain BTRC estimate. Bangladesh Telecommunication Regulatory Commission Ministry of Transport and Communications. Ministry of Transport and Communications Ministry of Transport and Communication of Armenia ITU estimate Ministry of Transport, Communication and Information Technologies of Armenia Ministry of Energy and Public Utilities. Ministry of Finance, Investment, Telecommunications & Energy Prime Minister's Office Division of Energy & Telecommunications Division of Energy & Telecommunications Division of Energy & Telecommunications Division of Energy & Telecommunications Ministry Of Innovation Science & Smart Technology Ministry of Innovation Science & Smart Technology Institut belge des services postaux et des t\u00e9l\u00e9communications (IBPT). IBPT Belgian Institute for Postal Services and Telecommunications Ministry of Economic Development| Department of Telecommunications Bermuda Government Dept of Telecommunications Bhutan InfoComm and Media Authority. Ministry of Information & Communications Ministry of Information and Communications Autoridad de Fiscalizaci\u00f3n y Control Social de Telecomunicaciones y Transportes Autoridad de Regulaci\u00f3n y Fiscalizaci\u00f3n de Telecomunicaciones y Transportes ATT - AUtoridad de Regulacion y Fiscalizacion de Telecomunicaciones y Transportes Public Enterprise PTT Bosnia and Herzegovina (PTT BIH). Communications Regulatory Agency B & H. Communication Regulatory Agency Communications Regulatory Agency B & H Communications Regulatory Agency Botswana Telecommunications Authority (BTA). Botswana Telecommunications Authority Botswana Communications Regulatory Authority (BOCRA) Anatel. Ag\u00eancia Nacional de Telecomunica\u00e7\u0151es National Telecommunication Agency - Anatel Belize Telemedia Limited Solomon Telekom Company Ltd. Telecommunications Commission of the Solomon Islands Telecommunications Commission Solomon Islands Telecommunications Regulatory Commission TRC AiTi. Authority for Info-communications Technology Industry of Brunei Darussalam ITU research based on AiTi website. Communications Regulation Commission. Communications Regulation Commission Ministry of Communications, Posts and Telegraphs. Ministry of Communications, Posts and Telegraphs Posts and Telecommunications Department, Ministry of communications and Information Technology Posts and Telecommunications Department, Ministry of Transport and Communications Agence de R\u00e9gulation et de Contr\u00f4le des T\u00e9l\u00e9communications. Agence de R\u00e9gulation et de Contr\u00f4le des T\u00e9l\u00e9communications AGENCE DE REGULATION ET DE CONTROLE DES TELECOMMUNICATIONS Beltelecom. Ministry of Communications and Informatization. ITU estimate based on Beltelecom data. Ministry of Communications and Informatization Ministry of Informatization and communication of the Republic of Belarus Ministry of Communications and Informatization of the Republic of Belarus Ministry of Post and Telecommunications (MPTC). Ministry of Posts and Telecommunications Telecommunication Regulator of Cambodia (TRC) Telecommunication Regulator of Cambodia Minist\u00e8re des Postes et T\u00e9l\u00e9communications. Agence de R\u00e9gulation des T\u00e9l\u00e9communications. Agence de R\u00e9gulation des T\u00e9l\u00e9communications Agence de R\u00e9gulation des T\u00e9l\u00e9communications Cameroun Statistics Canada. Canadian Radio-television Telecommunications Commission Canadian Radio-television and Telecommunications Commission Canadian Radio-television and Telecommunications Comission ITU research based on ANAC website. Agencia Nacional das Comunica\u00e7oes ANAC Ag\u00eancia Nacional das Comunica\u00e7\u00f5es - ANAC Ag\u00eancia Reguladora Multissetorial da Economia - ARME Ag\u00eancia Reguladora Multissectorial da Economia Information and Communications Technology Authority Utility Regulation and Competition Office Agence de R\u00e9gulation des T\u00e9l\u00e9communications (ART) AUTORITE DE REGULATION DES COMMUNICATIONS ELECTRONIQUES ET DE LA POSTE Autorit\u00e9 de R\u00e9gulation des Communications Electroniques et de la Poste Telecommunications Regulatory Commission of Sri Lanka. Telecommunications Regulatory Commission of Sri Lanka Office Tchadien de R\u00e9gulation des T\u00e9l\u00e9communications. Office Tchadien de R\u00e9gulation des T\u00e9l\u00e9communications Autorit\u00e9 de R\u00e9gulation des Communications \u00c9lectroniques et des Postes ARCEP Tchad ARCEP Subsecretar\u00eda de Telecomunicaciones (Subtel). Subtel Subsecretar\u00eda de Telecomunicaciones Ministry of Information Industry (MII). Ministry of Industry and Information Technology MIIT. MIIT National Communications Commission Ministerio de Tecnolog\u00edas de la Informaci\u00f3n y las Comunicaciones Ministerio de Tecnolog\u00edas de Informaci\u00f3n y las Comunicaciones Ministerio TIC Comores Telecom. Autorit\u00e9 Nationale de R\u00e9gulation des TIC ANRTIC Agence de R\u00e9gulation des Postes et des Communications Electroniques ARPTC Telecom Cook Islands Ltd. Instituto Costarricense de Electricidad (ICE). ICE-Telecomunicaciones Superintendencia de Telecomunicaciones Croatian Post and Electronic Communications Agency (HAKOM). Croatian Post and Electronic Communications Agency (HAKOM) Croatian Regulatory Authority for Network Industries HAKOM Ministerio de la Inform\u00e1tica y las Comunicaciones Ministerio de Comunicaciones Cyprus Telecommunications Authority (CYTA). Office of the Commissioner for Electronic Communications and Postal Regulation. Office of the Commissioner for Electronic Communications and Postal Regulation Office of the Commissioner for Electronic Communications and Postal Regulation Ministry of Economy. Czech Telecommunication Office. Market analysis. Estimate from Czech Telecommunication Office Czech Telecommunication Office Autorit\u00e9 Transitoire de R\u00e9gulation des Postes et T\u00e9l\u00e9communications Autorit\u00e9 Transitoire de R\u00e9gulation des Postes et T\u00e9l\u00e9communications. Autorit\u00e9 transitoire de r\u00e9gulation des postes et t\u00e9l\u00e9communications du B\u00e9nin Autorit\u00e9 de R\u00e9gulation des Communications Electroniques et de la Poste (ARCEP- B\u00e9nin) ARCEP BENIN National IT and Telecom Agency. National IT and Telecommunications Agency Denmark National IT- and Telecom Agency NITA Danish Business Authority Danish Energy Agency Center for Tele ECTEL. National Telecommunications Regulatory Commission ECTEL INDOTEL Instituto Dominicano de las Telecomunicaciones (INDOTEL) INSTITUTO DOMINICANO DE LAS TELECOMUNICACIONES SENATEL. Secretar\u00eda Nacional de Telecomunicaciones (SENATEL) Agencia de Regulaci\u00f3n y Control de las Telecomunicaciones Superintendencia General de Electricidad y Telecomunicaciones La Soci\u00e9t\u00e9 Anonyme de T\u00e9l\u00e9communications de la R\u00e9publique de Guin\u00e9e Equatoriale Orange-GETESA Ethiopian Telecommunications Corporation (ETC). Ethiopian Telecommunication Agency. Ethiopian Telecommunication Agency. Ministry of Communication and InformationTechnology. Ministry of Communications and Information Technology EriTel ITU calculation. Estonian Competition Authority. Estonian Competition Authority. Estonian Competition Auhtority. Estonian Competition Auhtority Estonian Competition Auhtority. Estonian Competition Authority Estonian Technical Regulation Authority Estonian Technical Regulatory Authority Consumer Protection and Technical Regulatory Authority Postal and Telecom Surveillance Authority. Post and Telecom Surveillance Authority Post and Telecom Authority Fjarskiftiseftirliti\u00f0 (NRA) Cable & Wireless South Atlantic Plc Cable & Wireless Sure Ministry of Public Enterprises, Communications, Civil Aviation and Tourism Ministry of Communications Finnish Communications Regulatory Authority. Finnish Communications Regulatory Authority Finnish Communications Regulatory Authority (FICORA) Finnish Transport and Communications Agency Traficom Autorit\u00e9 de R\u00e9gulation des Communications Electroniques et des Postes (ARCEP). Autorit\u00e9 de R\u00e9gulation des Communications \u00e9lectroniques et des postes Minist\u00e8re de l'Economie, des Finances et de l'Industrie. Service des Postes et T\u00e9l\u00e9communications. Service des Postes et T\u00e9l\u00e9communications Agence de R\u00e9glementation du Num\u00e9rique Direction g\u00e9n\u00e9rale de l'\u00e9conomie num\u00e9rique (DGEN) Direction G\u00e9n\u00e9rale de l'Economie Num\u00e9rique Minist\u00e8re de la Communication et de la Culture, charg\u00e9 des Postes et des T\u00e9l\u00e9communications. Minist\u00e9re de la Communication et de la Culture, charg\u00e9 des Postes et des T\u00e9l\u00e9communications Minist\u00e8re de la Communication et de la Culture, charg\u00e9 des Postes et des T\u00e9l\u00e9communications Minist\u00e8re de la Communication et de la Culture charg\u00e9 des Postes et des T\u00e9l\u00e9communications Minist\u00e8re de la Communication charg\u00e9 des Postes et des T\u00e9l\u00e9communications Gabon T\u00e9l\u00e9com Gabon T\u00e9l\u00e9com. Autorit\u00e9 de R\u00e9gulation des Communications \u00c9lectroniques et des Postes Georgian National Communications Commission (GNCC). Georgian National Communications Commission. Georgian National Communications Commission GNCC The Gambia Public Utilities Regulatory Authority. The Gambia Public Utilities Regulatory Authority Public Utilities Regulatory Authority Palestinian Central Bureau of Statistics Ministry of Telecom and IT Bundesnetzagentur (BNetzA, formerly Regulierungsbeh\u00f6rde f\u00fcr Telekommunikation und Post). Federal Network Agency Bundesnetzagentur (BNetzA) / Federal Network Agency Bundesnetzagentur f\u00fcr Elektrizit\u00e4t, Gas, Telekommunikation, Post und Eisenbahnen National Communications Authority (NCA). National Communications Authority National Communications Authority (NCA) Gibtelecom. Gibraltar Regulatory Authority Telecommunications Authority of Kiribati Ministry of Information, Communication, Transport and Tourism Development MICTTD Ministry of ICTTD Hellenic Telecommunications & Post Commission (EETT). Hellenic Telecommunications and Post Commission Hellenic Telecommunications & Post Commission TELE Greenland Tele Greenland A/S ECEL. Guam Telephone Authority. World broadband statistics. Superintendencia de Telecomunicaciones (SIT) Minist\u00e8re de la Communication et des Nouvelles Technologies de l'Information Minist\u00e8re des Postes , des T\u00e9l\u00e9communications et de l'Economie Num\u00e9rique National Frequency Management Unit Conseil National des T\u00e9l\u00e9communications CONATEL (Conseil National des T\u00e9l\u00e9communications) Comisi\u00f3n Nacional de Telecomunicaciones (CONATEL) Conatel CONATEL Office of the Telecommunications Authority (OFTA). Office of the Telecommunications Authority Office of the Communications Authority National Communications Authority. National Communications Authority, Hungary (NCAH) National Media and Infocommunications Authority Iceland Telecom Ltd. Post and Telecom Administration. Post and Telecom Administration PTA in Iceland Department of Telecommunications (DOT). Ministry of Communications and Information Technology. TRAI. TRAI Department of Telecommunications Directorate General of Posts and Telecommunications (POSTEL), PT Indosat, PT Telekom. Ministry of Communication and Information Technology Ministry of Communication and Informatics Ministry of Information and Communications Technology. Communications Regulatory Authority (CRA). Iran Information Technology Organization Iran Information Technology Organization (ITO). Information Technology Organization of Iran (ITO) Iraqi Telecommunications and Post Company Communications and Media Commission ComReg. Commission for Communications Regulation. ComReg Commission for Communications Regulation (ComReg) Commission for Communications Regulation Telecom Italia. Ministry of Communications. Ministry of Economic Development Ministry of ECONOMIC DEVELOPMENT - dep. of Communications AGCOM Agence des T\u00e9l\u00e9communications de C\u00f4te d'Ivoire. Agence des T\u00e9l\u00e9communications de C\u00f4te d'Ivoire (ATCI). Autorit\u00e9 de R\u00e9gulation des T\u00e9l\u00e9communications/TIC ARTCI Office of Utilities Regulation. Office of Utilities Regulation Ministry of Internal Affairs and Communications (MIC); Telecommunications Carriers Associations (TCA). Ministry of Internal Affairs and Communications(MIC) Ministry of Internal Affairs and Communications Ministry for Communications and Informations Ministry of the Republic of Kazakhstan for Communications and Information Ministry for Communications and Information of Republic of Kazakhstan Ministry of Transport and Communications of the Republic of Kazakhstan The Committee for Communication, informatization and information of the Ministry for Investment and Development of the Republic of Kazakhstan Ministry of Information and Communication of the Republic of Kazakhstan Ministry of Digital Development Innovation and Aerospace Ministry of digital development, innovation and aerospace industry of the Republic of Kazakhstan Telecommunications Regulatory Commission. Telecommunications Regulatory commission The Telecommunications Regulatory Commission of Jordan Communications Commission of Kenya (CCK). Communications Commission of Kenya Communications Commission of Kenya-ITU1 Communications Authority of Kenya CCK. COMMUNICATIONS AUTHORITY OF KENYA Ministry of Information and Communication. KCC. Korea Communications Commission, Rep of Korea Korea Communications Commission Ministry of Science, ICT and Future Planning Ministry of Science and ICT Communication and Information Technology Regulatory Authority CITRA National Communications Agency. State Communications Agency under the Governmet of the Kyrgyz Republic State Communications Agency under the State Committee for IT and Communications of the Kyrgyz Republic Lao Telecommunications Co., Ltd. Minist\u00e8re des communications, transports, postes et de la construction. National Authority of Post and Telecommunication. National Authority of Post and Telecommunication Ministry of Posts and Telecommunications Ministry of Post and Telecommunication Ministry of Telecommunications Telecommunications Regulatory Authority Ogero/ MOT Ministere des Telecommunications Lesotho Telecommunications Authority (LTA). Lesotho Telecommunications Authority Lesotho Communications Authority LCA LESOTHO COMMUNICATIONS AUTHORITY Ministry of Transport. Ministry of Transport Public Utilities Commission Ministry of Transport, Department of Communications Ministry of Transport of the Republic of Latvia Liberia Telecommunications Authority Liberia Telecommunications Authority General Telecom Authority. General Authority for Communications and informatics Office for Communications Office for Communications. Lithuanian Telecom. Communications Regulatory Authority. Communications Regulatory Authority of the Republic of Lithuania Communications Regulatory Authority (RRT) The Communications Regulatory Authority of the Republic of Lithuania Institut Luxembourgeois de R\u00e9gulation. Institut Luxembourgeois de R\u00e9gulation ILR Bureau of Telecommunications Regulation Office Malagasy d'Etudes et de Regulation des T\u00e9l\u00e9communications. ITU, based on number of dsl and other fixed broadband lines. Office Malagasy d'Etudes et de Regulation des T\u00e9l\u00e9communications Autorit\u00e9 de R\u00e9gulation des Technologies de Communication Malawi Communications Regulatory Authority. Malawi Communications Regulatory Authority Malawi communications regulatory authority Malaysian Communications and Multimedia Malaysia SKMM. Malaysian Communications and Multimedia Commission Communications Authority of Maldives Comit\u00e9 de R\u00e9gulation des T\u00e9l\u00e9communications. Comit\u00e9 de R\u00e9gulation des T\u00e9l\u00e9communications Autorit\u00e9 Malienne de R\u00e9gulation des T\u00e9l\u00e9communications/TIC et Postes (AMRTP) Autorit\u00e9 malienne de r\u00e9gulation des t\u00e9l\u00e9communications/TIC et Postes Autorit\u00e9 Malienne de R\u00e9gulation des T\u00e9l\u00e9communication/TIC et Postes (AMRTP) Malta Communications Authority. Malta Communications Authority Autorit\u00e9 de R\u00e9gulation. Autorit\u00e9 de R\u00e9gulation Information Communication Technologies Authority ICTA. Information and Communication Technologies Authority of Mauritius Information and Communication Technologies Authority Comisi\u00f3n Federal de Telecomunicaciones (CFT). ITU estimate based on OECD data and comments by country. Comisi\u00f3n Federal de Telecomunicaciones Comisi\u00f3n Federal de Telecomunicaciones de M\u00e9xico Instituto Federal de Telecomunicaciones de M\u00e9xico Instituto Federal de Telecomunicaciones de M\u00e9xico Instituto Federal de Telecomunicaciones de M\u00e9xico Instituto Federal de Telecomunicaciones de M\u00e9xico Instituto Federal de Telecomunicaciones Direction du Controle des Concessions et des Telecommunications. Direction des Communications Electroniques Direction du D\u00e9veloppement des Usages Num\u00e9riques Direction des Plateformes et des Ressources Num\u00e9riques Communications Regulatory Commission. Communications Regulatory Commission of Mongolia Information Technology, Post and Telecommunications Authority Information Technology, Post and Telecommunications Authority Communications Regulatory Commission of Mongolia National Regulatory Agency for Telecommunications and Informatics. National Regulatory Agency for Electronic Communications and Information Technology (ANRCETI) . National Regulatory Agency for Electronic Communications and Information Technology National Regulatory Agency for Electronic Communications and Information Technology (ANRCETI) Agency for telecommunications and postal services. Agency for Electronic Communications and Postal Services Agency for electronic communications and postal sevices Montenegro Ministry of Communications & Works Montserrat Infor-Communications Authority (MICA) Agence nationale de r\u00e9glementation des t\u00e9l\u00e9communications. Agence Nationale de R\u00e9glementation des T\u00e9l\u00e9communications ANRT Instituto Nacional das Comunica\u00e7\u00f5es de Mo\u00e7ambique (INCM). Instituto Nacional das Comunica\u00e7\u0151es de Mo\u00e7ambique ARECOM INCM Telecommunication Regulatory Authority Communications Regulatory Authority of Namibia CRAN Ministry for Transport and Telecommunications Nepal Telecommunications Authority ITU based on Nepal Telecommunications Authority ITU estimate based on December, 2012 NTA MIS. ITU Research. KPN, Libertel. Independent Post and Telecommunications Authority (OPTA). Independent Post and Telecommunication Authority Independent Post and Telecommunication Authority Independent Post and Telecommunication Authority Authority for Consumers and Markets ITU research based on ACM's website. The ACM Bureau Telecommunicatie & Post Curacao Bureau Telecommunicatie en Post Directorate of Telecommunication Affairs Aruba. Office des Postes et T\u00e9l\u00e9communications de Nouvelle-Cal\u00e9donie Office des Postes et T\u00e9l\u00e9communications Telecom Regulator. Telecommunications & Radiocommunications Regulator Office of theTelecommunications & Radiocommunications Regulator TRBR Telecommunications, Radiocommunications and Broadcasting Regulator Telecom Corporation of New Zealand Ltd. Ministry of Economic Development. ComCom. Ministry of Business, Innovation and Employment Instituto Nicaraguense de Telecomunicaciones y Correos TELCOR Telcor Institut National de la Statistique MPT-EN Nigerian Communications Commission (NCC). Nigerian Communications Commission NIGERIAN COMMUNICATIONS COMMISSION Norwegian Posts and Telecommunications Authority (NPTA). Norwegian Post and Telecommunications Authority (NPT) Norwegian Communications Authority Norwegian Communication Authority Department of Transportation, Communications and Infrastructure Division of Communications Marshall Islands National Telecommunications Authority (NTA) Palau National Communications Corporation Palau National Communications Corporation (PNCC) Pakistan Telecommunication Authority (PTA). Pakistan Telecommunication Authority Autoridad Nacional de los Servicios P\u00fablicos. Autoridad Nacional de los Servicios P\u00fablicos (ASEP) Autoridad Nacional de los Servicios P\u00fablicos National Information & Communications Technology Authority Comisi\u00f3n Nacional de Telecomunicaciones Comisi\u00f3n Nacional de Telecomunicaciones - CONATEL Ministerio de Transportes y Comunicaciones. Ministerio de Transportes y Comunicaciones National Telecommunications Commission (NTC). BMI. Point Topic. Department of Information and Communications Technology Office of Electronic Communications. Office of Electronic Communications Instituto das Comunica\u00e7\u00f5es de Portugal. Autoridade Nacional de Comunicacoes (ANACOM). ANACOM Autoridade Nacional de Comunica\u00e7\u0151es Autoridade Reguladora Nacional das TIC Autorit\u00e9 de R\u00e9gulation Nationale des TIC Autorit\u00e9 nationale de r\u00e9gulation des TICs(ARN) National Communications Authority Autoridade Nacional de Comunica\u00e7\u00f5es Puerto Rico Telephone Company (PRTC). Instituto de Estad\u00edsticas. Puerto Rico Institute of Statistics ictQATAR ITU calculation. Ministry of Transport and Commuications ANCOM National Authority for Management and Regulation in Communications of Romania Estimate from ANCOM National Authority for Management and Regulation in Communications General State Supervisory Department for Communications. Ministry of Posts and Telecommunications. Ministry for Information Technologies and Communications. TKK. Advanced Communications & Media report, apr 2009. Ministry of Telecom and Mass Communications of the Russian Federation. Ministry of Telecom and Mass Communications of the Russian Federation Ministry of Digital Development, Communications and Mass Media of the Russian Federation Ministry of Digital Development, Communictions and Mass Media of the Russian Federation Wimax and fixed. Rwanda Information Technology Authority. Rwanda Information Technology Authority. Agence Rwandaise de R\u00e9gulation des Services d'Utilit\u00e9 Publique (RURA) Rwanda Utilities Regulatory Authority (RURA) Rwanda Utilities Regulatory Authority Cable & Wireless South Atlantic Ltd. Sure South Atlantic Ltd. ITU research based on ECTEL. Public Utilities Commission. Ministry of Infrastructure, Communication & Utilities public utilities commission ITU estimate based on ECTEL. National Telecommunications Regulatory Comission. Direzione Generale Poste e Telecomunicazioni. Direzione Generale Poste e Telecomunicazioni TELECOMMUNICATION SECTOR- Department of Economy TELECOMMUNICATION SECTOR Autoridade Geral de Regula\u00e7\u00e3o AGER - Autoridade Geral de Regula\u00e7\u00e3o Saudi Telecommunications Company. CITC Market Studies Department. CITC Communication and Information Technology Commission Communications and Information Technology Commission (CITC) Agence de R\u00e9gulation des T\u00e9l\u00e9communications et des Postes. Agence de R\u00e9gulation des T\u00e9l\u00e9communications et des Postes (ARTP) Autorit\u00e9 de R\u00e9gulation des T\u00e9l\u00e9communications et des Postes (ARTP) ARTP Republic Telecommunication Agency RATEL. Republic Agency for Electronic Communications (RATEL) Regulatory Agency for Electronic Communications and Postal Services (RATEL) Regulatory Agency for Electronic Communications and Postal Services Ministry of Information Technology and Communication. MInistry of National Development Vice President's Office Department of Information Communication Technology Department of Information Communications Technology at Vice President's Office Office of the President, Department of Information Communications Technology Office of the Vice President, Department of Information Communication Technology IDA. Infocomm Development Authority of Singapore Infocomm Media Development Authority Ministry of Transport, Posts and Telecommunications. Ministry of Transport, Construction and Regional Development of the Slovak Republic Ministry of Transport and Construction of the Slovak Republic Vietnam Post & Telecommunications Corp. (VNPT). Ministry of Posts and Telematics (MPT). VNNIC. Ministry of Information and Communications. Post and Electronic Communications Agency of the Republic of Slovenia. Post and Electronic Communications Agency of the Republic of Slovenia Agency for Communication Networks and Services of the Republic of Slovenia AKOS Ministry of Information, Posts and Telecommunications National Communication Authority (NCA) Independent Communications Authority of South Africa (ICASA). ICASA based on Ovum data. Independent Communications Authority of South Africa Independent Communication Authority of South Africa Post and Telecommunications Regulatory Authority (POTRAZ). Postal and Telecommunications Regulatory Authority POTRAZ Telef\u00f3nica de Espa\u00f1a, S.A. Ministerio de Ciencia y Technolog\u00eda. Comisi\u00f3n del Mercado de las Telecomunicaciones (CMT). Comisi\u00f3n del Mercado de las Telecomunicaciones Comisi\u00f3n Nacional de los Mercados y la Competencia Ministry of Telecommunications & Postal Services National Communication Authority, NCA National Telecommunication Corporation (NTC). National Telecommunication Corporation (NTC) Telecommunication and Post Regulatory Authority Telecommunications Authority Suriname. Telecommunications Authority Suriname (TAS) Telecommunication Authority Suriname Swaziland Posts and Telecommunications Corporation Swaziland Posts and Telecommunications Corporation (STPC). Swaziland Posts and Telecommunications Corporation Swedish Institute for Transport and Communications Analysis. Swedish Post and Telecom Agency (PTS). Swedish Post and Telecom Authority Swedish Post and Telecom Authority (PTS) OFCOM. Office F\u00e9d\u00e9ral de la Communication OFCOM Syrian Telecommunications Establishment (STE). Syrian Telecommunication Establishment Syrian Telecommunication Regulatory Authority SyTRA SYTPRA Tajiktelecom. Post and Telegraph Department (PTD). Ministry of Information and Communication Authority (MICT). ITU research based on NBTC website. Ministry of Information and Communication Technology The National Broadcasting and Telecommunications Commission Office of the National Broadcasting and Telecommunications Commission Autorit\u00e9 de r\u00e9glementation des secteurs de postes et de t\u00e9l\u00e9communications (ART&P). Autorit\u00e9 de R\u00e8glementation des secteurs de Postes et T\u00e9l\u00e9communications Autorit\u00e9 de R\u00e8glementation des secteurs de Postes et de T\u00e9l\u00e9communications Tonga Communications Corporation Ltd. Ministry of Information and Communication Ministry of Meteorology, Energy, Information, Disaster Management, Environment and Climate Change, Communication (MEIDECC) MEIDECC Telecommunications Services of Trinidad and Tobago (TSTT). Ministry of Public Administration and Information. Telecommunications Authority of Trinidad and Tobago. Telecommunications Authority of Trinidad and Tobago Telecommunications Authority of Trinidad and Tobago (TATT) Telecommunications Regulatory Authority. Telecommunications Regulatory Authority (TRA) TRA Telecommunications Regulatory Authority Minist\u00e8re des Technologies de la Communication. Minist\u00e8re des Technologies de la Communication Secr\u00e9tariat d'Etat de la Technologie / Minist\u00e8re de l'Industrie et de la Technologie Secr\u00e9tariat d'Etat des Technologies de la Communication Secr\u00e9tariat d'Etat de la Technologie / Minist\u00e8re de l'Industrie et de la Technologiev Minist\u00e8re des Technologies de l'Information et de la Communication Minist\u00e8re des Technologies de la Communication et de l'Economie Num\u00e9rique Instance Nationale des T\u00e9l\u00e9communications Instance Nationale des T\u00e9l\u00e9communications de Tunisie T\u00fcrk Telekom\u00fcnikasyon A.S. Telecommunications Authority. Information and Communication Technologies Authority. Information and Communication Technologies Authority (ICTA) Information and Communication Technologies Authority (ICTA) of Turkey Tuvalu Telecom Corporation. Uganda Communications Commission (UCC). UCC. Uganda Communications Commission State Administration of Communications State Service of Special Communications and Information Protection of Ukraine State Service of the Special Communications and Information Protection of Ukraine Agency for Electronic Communications (Agencija za elektronski komunikacii). Agency for Electronic Communications AEK MCIT. Ministry of Communications and Information Technology. Office of Communications (Ofcom). Office of Communications Ofcom TCRA. Tanzania Communications Regulatory Authority (TCRA) Federal Communications Commission (FCC). Federal Communications Commission U.S. Federal Communications Commission Virgin Islands Telephone Corporation (Vitelco). Autorit\u00e9 de R\u00e9gulation des T\u00e9l\u00e9communications \u00c9lectroniques (ARCE) Autorit\u00e9 de R\u00e9gulation des Communications \u00c9lectroniques (ARCE) Autorit\u00e9 de R\u00e9gulation des Communications \u00c9lectroniques et des Postes (ARCEP) Autorit\u00e9 de r\u00e9gulation des communications URSEC Unidad Reguladora de Servicios de Comunicaciones Unidad Reguladora de Servicios de Comunicaciones 953281 977390 Communication and Information Agency of Uzbekistan. State Committee for Communications, Informatization and Telecommunication Technologies State Committee for Communications, Informatization and Telecommunication Technologies Ministry for Development of Information Technologies and Communications of the Republic of Uzbekistan Comisi\u00f3n Nacional de Telecomunicaciones (CONATEL). Service des Postes et Telecommunications (SPT). Service des Postes et Telecommunications Office of the Regulator. Office of the Regulator Ministry of Telecommunications and Information Technology. Ministry of Telecommunications and Information Technology MTIT Information & Communication Authority. ZICTA Zambia Information & Communications Technology Authority (ZICTA) Zambia Information & Communications Technology Authority", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Data from multiple sources compiled by the UN" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Number of fixed Internet broadband subscriptions, by speed (number) Variable code: IT_NET_BBNDN Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-06-01.pdf Detailed sources: Ministry of Communications. ITU estimate. Afghanistan Telecommunication Regulatory Authority Ministry of Communications & Information Technology (MCIT) Afghanistan Telecom Regulatory Authority Ministry of Transport and Telecommunications. Ministry of Public Works Transport and Telcommunication. National Agency of Information Society. Minister for Innovation and ICT National Agency on Information Society Ministry of Innovation and Public Administration/National Agency for Information Society Minister of State for the Innovation and Public Administration AKEP Ministry of Infrastructure and Energy Autorité de Régulation de la Poste et des Télecommunications (ARPT). ITU estimate. Autorité de Régulation de la Poste et des Télécommunications Ministère de la Poste et des Technologies de l'Information et de la Communication ITU WTID2020 Ministère de la Poste et des Technologies de l'Information et de la Communication Ministère de la Poste, des Télécommunications, des Technologies et du Numérique Ministère de la Poste et des Télécommunications Andorra Telecom Servei de Telecomunicacions d'Andorra Andorra Telecom SAU ANGOLAN COMMUNICATIONS REGULATORY AUTHORITY Angolan Institute of Communications Telecom Divison/Ministry of Information, Broadcasting, Telecommunications, Science & Technology Telecom Divison/Ministry of Telecommunications, Science & Technology Telecoms Divison/Ministry of Information, Broadcasting, Telecommunications, & Information Technology Ministry of Information, Broadcasting, Telecommunications, and Information Technology Ministry of Information, Broadcasting, Telecommunications and Information Technology Ministry of Communications and Information Technologies. Ministry of Communications and Information Technologies of the Republic of Azerbaijan Ministry of Communicatio… | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21873 | UN Conference on Trade and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Number of countries with an inforce bilateral investment treaty (BIT) (Number) \n \n Variable code: SG_CPA_INFORCE_BIT \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-05-01.pdf \n \n Detailed sources: https://investmentpolicy.unctad.org/international-investment-agreements#", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Conference on Trade and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Number of countries with an inforce bilateral investment treaty (BIT) (Number) Variable code: SG_CPA_INFORCE_BIT Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-05-01.pdf Detailed sources: https://investmentpolicy.unctad.org/international-investment-agreements# | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21872 | UN Conference on Trade and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Number of countries with a signed bilateral investment treaty (BIT) (Number) \n \n Variable code: SG_CPA_SIGN_BIT \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-05-01.pdf \n \n Detailed sources: https://investmentpolicy.unctad.org/international-investment-agreements#", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Conference on Trade and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Number of countries with a signed bilateral investment treaty (BIT) (Number) Variable code: SG_CPA_SIGN_BIT Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-05-01.pdf Detailed sources: https://investmentpolicy.unctad.org/international-investment-agreements# | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21871 | International Monetary Fund (IMF) | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Debt service as a proportion of exports of goods and services (%) \n \n Variable code: DT_TDS_DECT \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-04-01.pdf \n \n Detailed sources: Debt service is the sum of principle repayments and interest actually paid in currency, goods, or services. This series differs from the standard debt to exports series. It covers only long-term public and publicly guaranteed debt and repayments (repurchases and charges) to the IMF. Exports of goods and services include primary income, but do not include workers' remittances.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "International Monetary Fund (IMF)" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Debt service as a proportion of exports of goods and services (%) Variable code: DT_TDS_DECT Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-04-01.pdf Detailed sources: Debt service is the sum of principle repayments and interest actually paid in currency, goods, or services. This series differs from the standard debt to exports series. It covers only long-term public and publicly guaranteed debt and repayments (repurchases and charges) to the IMF. Exports of goods and services include primary income, but do not include workers' remittances. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21870 | UN Conference on Trade and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Foreign direct investment (FDI) inflows (millions of US dollars) \n \n Variable code: GF_FRN_FDI \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-03-01a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-03-01b.pdf \n \n Detailed sources: UNCTAD, FDI/MNE database (www.unctad.org/fdistatistics).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Conference on Trade and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Foreign direct investment (FDI) inflows (millions of US dollars) Variable code: GF_FRN_FDI Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-03-01a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-03-01b.pdf Detailed sources: UNCTAD, FDI/MNE database (www.unctad.org/fdistatistics). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21869 | World Bank | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Volume of remittances (in United States dollars) as a proportion of total GDP (%) \n \n Variable code: BX_TRF_PWKR \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-03-02.pdf \n \n Detailed sources: World Bank staff estimates based on IMF balance of payments data, and World Bank and OECD GDP estimates.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "World Bank" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Volume of remittances (in United States dollars) as a proportion of total GDP (%) Variable code: BX_TRF_PWKR Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-03-02.pdf Detailed sources: World Bank staff estimates based on IMF balance of payments data, and World Bank and OECD GDP estimates. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21868 | Organisation for Economic Co-operation and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Official development assistance (ODA) as a percentage of OECD-DAC donors' GNI on grant equivalent basis, by donor countries (%) \n \n Variable code: DC_ODA_TOTGGE \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf \n \n Detailed sources: The Organisation for Economic Co-operation and Development (OECD).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Organisation for Economic Co-operation and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Official development assistance (ODA) as a percentage of OECD-DAC donors' GNI on grant equivalent basis, by donor countries (%) Variable code: DC_ODA_TOTGGE Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf Detailed sources: The Organisation for Economic Co-operation and Development (OECD). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21867 | Organisation for Economic Co-operation and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Official development assistance (ODA) from OECD-DAC countries on grant equivalent basis, by donor countries (millions of constant 2019 United States dollars) \n \n Variable code: DC_ODA_TOTLGE \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf \n \n Detailed sources: The Organisation for Economic Co-operation and Development (OECD).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Organisation for Economic Co-operation and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Official development assistance (ODA) from OECD-DAC countries on grant equivalent basis, by donor countries (millions of constant 2019 United States dollars) Variable code: DC_ODA_TOTLGE Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf Detailed sources: The Organisation for Economic Co-operation and Development (OECD). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21866 | Organisation for Economic Co-operation and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Net official development assistance (ODA) from OECD-DAC countries, by donor countries (millions of constant 2019 United States dollars) \n \n Variable code: DC_ODA_TOTL \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf \n \n Detailed sources: The Organisation for Economic Co-operation and Development (OECD).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Organisation for Economic Co-operation and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Net official development assistance (ODA) from OECD-DAC countries, by donor countries (millions of constant 2019 United States dollars) Variable code: DC_ODA_TOTL Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf Detailed sources: The Organisation for Economic Co-operation and Development (OECD). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21865 | Organisation for Economic Co-operation and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Net official development assistance (ODA) as a percentage of OECD-DAC donors' GNI, by donor countries (%) \n \n Variable code: DC_ODA_TOTG \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf \n \n Detailed sources: The Organisation for Economic Co-operation and Development (OECD).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Organisation for Economic Co-operation and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Net official development assistance (ODA) as a percentage of OECD-DAC donors' GNI, by donor countries (%) Variable code: DC_ODA_TOTG Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf Detailed sources: The Organisation for Economic Co-operation and Development (OECD). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21864 | Organisation for Economic Co-operation and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Net official development assistance (ODA) to landlocked developing countries as a percentage of OECD-DAC donors' GNI, by donor countries (%) \n \n Variable code: DC_ODA_LLDCG \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf \n \n Detailed sources: The Organisation for Economic Co-operation and Development (OECD).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Organisation for Economic Co-operation and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Net official development assistance (ODA) to landlocked developing countries as a percentage of OECD-DAC donors' GNI, by donor countries (%) Variable code: DC_ODA_LLDCG Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf Detailed sources: The Organisation for Economic Co-operation and Development (OECD). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21863 | Organisation for Economic Co-operation and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Net official development assistance (ODA) to LDCs from OECD-DAC countries, by donor countries (millions of constant 2019 United States dollars) \n \n Variable code: DC_ODA_LDCS \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf \n \n Detailed sources: The Organisation for Economic Co-operation and Development (OECD).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Organisation for Economic Co-operation and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Net official development assistance (ODA) to LDCs from OECD-DAC countries, by donor countries (millions of constant 2019 United States dollars) Variable code: DC_ODA_LDCS Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf Detailed sources: The Organisation for Economic Co-operation and Development (OECD). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21862 | Organisation for Economic Co-operation and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Net official development assistance (ODA) to small island states (SIDS) from OECD-DAC countries, by donor countries (millions of constant 2019 United States dollars) \n \n Variable code: DC_ODA_SIDS \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf \n \n Detailed sources: The Organisation for Economic Co-operation and Development (OECD).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Organisation for Economic Co-operation and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Net official development assistance (ODA) to small island states (SIDS) from OECD-DAC countries, by donor countries (millions of constant 2019 United States dollars) Variable code: DC_ODA_SIDS Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf Detailed sources: The Organisation for Economic Co-operation and Development (OECD). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21861 | Organisation for Economic Co-operation and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Net official development assistance (ODA) to landlocked developing countries from OECD-DAC countries, by donor countries (millions of constant 2019 United States dollars) \n \n Variable code: DC_ODA_LLDC \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf \n \n Detailed sources: The Organisation for Economic Co-operation and Development (OECD).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Organisation for Economic Co-operation and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Net official development assistance (ODA) to landlocked developing countries from OECD-DAC countries, by donor countries (millions of constant 2019 United States dollars) Variable code: DC_ODA_LLDC Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf Detailed sources: The Organisation for Economic Co-operation and Development (OECD). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21860 | Organisation for Economic Co-operation and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Net official development assistance (ODA) to LDCs as a percentage of OECD-DAC donors' GNI, by donor countries (%) \n \n Variable code: DC_ODA_LDCG \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf \n \n Detailed sources: The Organisation for Economic Co-operation and Development (OECD).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Organisation for Economic Co-operation and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Net official development assistance (ODA) to LDCs as a percentage of OECD-DAC donors' GNI, by donor countries (%) Variable code: DC_ODA_LDCG Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf Detailed sources: The Organisation for Economic Co-operation and Development (OECD). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21859 | Organisation for Economic Co-operation and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Net official development assistance (ODA) to small island states (SIDS) as a percentage of OECD-DAC donors' GNI, by donor countries (%) \n \n Variable code: DC_ODA_SIDSG \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf \n \n Detailed sources: The Organisation for Economic Co-operation and Development (OECD).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "Organisation for Economic Co-operation and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Net official development assistance (ODA) to small island states (SIDS) as a percentage of OECD-DAC donors' GNI, by donor countries (%) Variable code: DC_ODA_SIDSG Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-02-01.pdf Detailed sources: The Organisation for Economic Co-operation and Development (OECD). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21858 | UN Statistics Division | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Dollar value of all resources made available to strengthen statistical capacity in developing countries (current United States dollars) \n \n Variable code: SG_STT_CAPTY \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-01.pdf \n \n Detailed sources: 2020 Partner Report on Support to Statistics (PRESS)", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Statistics Division" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Dollar value of all resources made available to strengthen statistical capacity in developing countries (current United States dollars) Variable code: SG_STT_CAPTY Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-01.pdf Detailed sources: 2020 Partner Report on Support to Statistics (PRESS) | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21857 | UN Department of Economic and Social Affairs | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Countries with death registration data that are at least 75 percent complete (1 = YES; 0 = NO) \n \n Variable code: SG_REG_DETH75N \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02b.pdf \n \n Detailed sources: Demographic and Social Statistics Branch, United Nations Statistics Division (UNSD), Department of Economic and Social Affairs, United Nations", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Department of Economic and Social Affairs" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Countries with death registration data that are at least 75 percent complete (1 = YES; 0 = NO) Variable code: SG_REG_DETH75N Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02b.pdf Detailed sources: Demographic and Social Statistics Branch, United Nations Statistics Division (UNSD), Department of Economic and Social Affairs, United Nations | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21856 | UN Department of Economic and Social Affairs | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Countries with birth registration data that are at least 90 percent complete (1 = YES; 0 = NO) \n \n Variable code: SG_REG_BRTH90N \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02b.pdf \n \n Detailed sources: Demographic and Social Statistics Branch, United Nations Statistics Division (UNSD), Department of Economic and Social Affairs, United Nations", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Department of Economic and Social Affairs" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Countries with birth registration data that are at least 90 percent complete (1 = YES; 0 = NO) Variable code: SG_REG_BRTH90N Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02b.pdf Detailed sources: Demographic and Social Statistics Branch, United Nations Statistics Division (UNSD), Department of Economic and Social Affairs, United Nations | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21855 | UN Department of Economic and Social Affairs | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Countries that have conducted at least one population and housing census in the last 10 years (1 = YES; 0 = NO) \n \n Variable code: SG_REG_CENSUSN \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02b.pdf \n \n Detailed sources: Demographic and Social Statistics Branch, United Nations Statistics Division (UNSD), Department of Economic and Social Affairs, United Nations.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Department of Economic and Social Affairs" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Countries that have conducted at least one population and housing census in the last 10 years (1 = YES; 0 = NO) Variable code: SG_REG_CENSUSN Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02b.pdf Detailed sources: Demographic and Social Statistics Branch, United Nations Statistics Division (UNSD), Department of Economic and Social Affairs, United Nations. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21854 | UN Department of Economic and Social Affairs | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of countries that have conducted at least one population and housing census in the last 10 years (%) \n \n Variable code: SG_REG_CENSUS \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02b.pdf \n \n Detailed sources: Demographic and Social Statistics Branch, United Nations Statistics Division (UNSD), Department of Economic and Social Affairs, United Nations.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Department of Economic and Social Affairs" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of countries that have conducted at least one population and housing census in the last 10 years (%) Variable code: SG_REG_CENSUS Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02b.pdf Detailed sources: Demographic and Social Statistics Branch, United Nations Statistics Division (UNSD), Department of Economic and Social Affairs, United Nations. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21853 | UN Department of Economic and Social Affairs | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of countries with death registration data that are at least 75 percent complete (%) \n \n Variable code: SG_REG_DETH75 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02b.pdf \n \n Detailed sources: Demographic and Social Statistics Branch, United Nations Statistics Division (UNSD), Department of Economic and Social Affairs, United Nations", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Department of Economic and Social Affairs" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of countries with death registration data that are at least 75 percent complete (%) Variable code: SG_REG_DETH75 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02b.pdf Detailed sources: Demographic and Social Statistics Branch, United Nations Statistics Division (UNSD), Department of Economic and Social Affairs, United Nations | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21852 | UN Department of Economic and Social Affairs | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of countries with birth registration data that are at least 90 percent complete (%) \n \n Variable code: SG_REG_BRTH90 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02b.pdf \n \n Detailed sources: Demographic and Social Statistics Branch, United Nations Statistics Division (UNSD), Department of Economic and Social Affairs, United Nations", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Department of Economic and Social Affairs" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of countries with birth registration data that are at least 90 percent complete (%) Variable code: SG_REG_BRTH90 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02a.pdf and https://unstats.un.org/sdgs/metadata/files/Metadata-17-19-02b.pdf Detailed sources: Demographic and Social Statistics Branch, United Nations Statistics Division (UNSD), Department of Economic and Social Affairs, United Nations | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21851 | PARIS21 SDG Survey via United Nations Global SDG Database | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Countries with national statistical plans that are fully funded (1 = YES; 0 = NO) \n \n Variable code: SG_STT_NSDSFND \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-18-03.pdf \n \n Detailed sources: PARIS21 SDG Survey", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "PARIS21 SDG Survey via United Nations Global SDG Database" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Countries with national statistical plans that are fully funded (1 = YES; 0 = NO) Variable code: SG_STT_NSDSFND Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-18-03.pdf Detailed sources: PARIS21 SDG Survey | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21850 | PARIS21 SDG Survey via United Nations Global SDG Database | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Countries with national statistical plans that are under implementation (1 = YES; 0 = NO) \n \n Variable code: SG_STT_NSDSIMPL \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-18-03.pdf \n \n Detailed sources: PARIS21 SDG Survey", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "PARIS21 SDG Survey via United Nations Global SDG Database" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Countries with national statistical plans that are under implementation (1 = YES; 0 = NO) Variable code: SG_STT_NSDSIMPL Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-18-03.pdf Detailed sources: PARIS21 SDG Survey | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21849 | PARIS21 SDG Survey via United Nations Global SDG Database | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Countries with national statistical plans with funding from others (1 = YES; 0 = NO) \n \n Variable code: SG_STT_NSDSFDOTHR \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-18-03.pdf \n \n Detailed sources: PARIS21 SDG Survey", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "PARIS21 SDG Survey via United Nations Global SDG Database" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Countries with national statistical plans with funding from others (1 = YES; 0 = NO) Variable code: SG_STT_NSDSFDOTHR Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-18-03.pdf Detailed sources: PARIS21 SDG Survey | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21848 | PARIS21 SDG Survey via United Nations Global SDG Database | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Countries with national statistical plans with funding from donors (1 = YES; 0 = NO) \n \n Variable code: SG_STT_NSDSFDDNR \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-18-03.pdf \n \n Detailed sources: PARIS21 SDG Survey", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "PARIS21 SDG Survey via United Nations Global SDG Database" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Countries with national statistical plans with funding from donors (1 = YES; 0 = NO) Variable code: SG_STT_NSDSFDDNR Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-18-03.pdf Detailed sources: PARIS21 SDG Survey | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21847 | PARIS21 SDG Survey via United Nations Global SDG Database | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Countries with national statistical legislation exists that complies with the Fundamental Principles of Official Statistics (1 = YES; 0 = NO) \n \n Variable code: SG_STT_FPOS \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-18-02.pdf \n \n Detailed sources: PARIS21 SDG Survey", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "PARIS21 SDG Survey via United Nations Global SDG Database" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Countries with national statistical legislation exists that complies with the Fundamental Principles of Official Statistics (1 = YES; 0 = NO) Variable code: SG_STT_FPOS Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-18-02.pdf Detailed sources: PARIS21 SDG Survey | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21846 | PARIS21 SDG Survey via United Nations Global SDG Database | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Countries with national statistical plans with funding from Government (1 = YES; 0 = NO) \n \n Variable code: SG_STT_NSDSFDGVT \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-18-03.pdf \n \n Detailed sources: PARIS21 SDG Survey", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "PARIS21 SDG Survey via United Nations Global SDG Database" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Countries with national statistical plans with funding from Government (1 = YES; 0 = NO) Variable code: SG_STT_NSDSFDGVT Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-18-03.pdf Detailed sources: PARIS21 SDG Survey | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21845 | World Bank | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Amount of United States dollars committed to public-private partnerships for infrastructure, million USD real \n \n Variable code: GF_COM_PPPI_KD \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-17-01.pdf \n \n Detailed sources: World Bank, Private Participation in Infrastructure (PPI) Database.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "World Bank" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Amount of United States dollars committed to public-private partnerships for infrastructure, million USD real Variable code: GF_COM_PPPI_KD Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-17-01.pdf Detailed sources: World Bank, Private Participation in Infrastructure (PPI) Database. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21844 | World Bank | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Amount of United States dollars committed to public-private partnerships for infrastructure, million USD nominal \n \n Variable code: GF_COM_PPPI \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-17-01.pdf \n \n Detailed sources: World Bank, Private Participation in Infrastructure (PPI) Database.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "World Bank" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Amount of United States dollars committed to public-private partnerships for infrastructure, million USD nominal Variable code: GF_COM_PPPI Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-17-01.pdf Detailed sources: World Bank, Private Participation in Infrastructure (PPI) Database. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21843 | OECD and UN Development Programme | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Progress in multi-stakeholder development effectiveness monitoring frameworks that support the achievement of the sustainable development goals, Recipient (1 = YES; 0 = NO) \n \n Variable code: SG_PLN_MSTKSDG_R \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-16-01.pdf \n \n Detailed sources: Organisation for Economic Co-operation and Development (OECD) and United Nations Development Programme (UNDP).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "OECD and UN Development Programme" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Progress in multi-stakeholder development effectiveness monitoring frameworks that support the achievement of the sustainable development goals, Recipient (1 = YES; 0 = NO) Variable code: SG_PLN_MSTKSDG_R Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-16-01.pdf Detailed sources: Organisation for Economic Co-operation and Development (OECD) and United Nations Development Programme (UNDP). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21842 | OECD and UN Development Programme | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Progress in multi-stakeholder development effectiveness monitoring frameworks that support the achievement of the sustainable development goals, Provider (1 = YES; 0 = NO) \n \n Variable code: SG_PLN_MSTKSDG_P \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-16-01.pdf \n \n Detailed sources: Organisation for Economic Co-operation and Development (OECD) and United Nations Development Programme (UNDP).", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "OECD and UN Development Programme" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Progress in multi-stakeholder development effectiveness monitoring frameworks that support the achievement of the sustainable development goals, Provider (1 = YES; 0 = NO) Variable code: SG_PLN_MSTKSDG_P Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-16-01.pdf Detailed sources: Organisation for Economic Co-operation and Development (OECD) and United Nations Development Programme (UNDP). | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21841 | OECD and United Nations Development Programme | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Extent of use of country-owned results frameworks and planning tools by providers of development cooperation - data by provider (%) \n \n Variable code: SG_PLN_PRPOLRES \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf \n \n Detailed sources: OECD and UNDP.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "OECD and United Nations Development Programme" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Extent of use of country-owned results frameworks and planning tools by providers of development cooperation - data by provider (%) Variable code: SG_PLN_PRPOLRES Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf Detailed sources: OECD and UNDP. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21840 | OECD and United Nations Development Programme | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Extent of use of country-owned results frameworks and planning tools by providers of development cooperation - data by recipient (%) \n \n Variable code: SG_PLN_REPOLRES \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf \n \n Detailed sources: OECD and UNDP.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "OECD and United Nations Development Programme" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Extent of use of country-owned results frameworks and planning tools by providers of development cooperation - data by recipient (%) Variable code: SG_PLN_REPOLRES Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf Detailed sources: OECD and UNDP. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21839 | OECD and United Nations Development Programme | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of results indicators drawn from country-led results frameworks - data by recipient (%) \n \n Variable code: SG_PLN_RECRICTRY \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf \n \n Detailed sources: OECD and UNDP.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "OECD and United Nations Development Programme" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of results indicators drawn from country-led results frameworks - data by recipient (%) Variable code: SG_PLN_RECRICTRY Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf Detailed sources: OECD and UNDP. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21838 | OECD and United Nations Development Programme | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of results indicators drawn from country-led results frameworks - data by provider (%) \n \n Variable code: SG_PLN_PRVRICTRY \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf \n \n Detailed sources: OECD and UNDP.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "OECD and United Nations Development Programme" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of results indicators drawn from country-led results frameworks - data by provider (%) Variable code: SG_PLN_PRVRICTRY Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf Detailed sources: OECD and UNDP. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21837 | OECD and United Nations Development Programme | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of project objectives in new development interventions drawn from country-led result frameworks - data by recipient (%) \n \n Variable code: SG_PLN_RECNDI \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf \n \n Detailed sources: OECD and UNDP.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "OECD and United Nations Development Programme" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of project objectives in new development interventions drawn from country-led result frameworks - data by recipient (%) Variable code: SG_PLN_RECNDI Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf Detailed sources: OECD and UNDP. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21836 | OECD and United Nations Development Programme | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of project objectives of new development interventions drawn from country-led result frameworks - data by provider (%) \n \n Variable code: SG_PLN_PRVNDI \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf \n \n Detailed sources: OECD and UNDP.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "OECD and United Nations Development Programme" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of project objectives of new development interventions drawn from country-led result frameworks - data by provider (%) Variable code: SG_PLN_PRVNDI Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf Detailed sources: OECD and UNDP. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21835 | OECD and United Nations Development Programme | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by recipient (%) \n \n Variable code: SG_PLN_RECRIMON \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf \n \n Detailed sources: OECD and UNDP.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "OECD and United Nations Development Programme" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by recipient (%) Variable code: SG_PLN_RECRIMON Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf Detailed sources: OECD and UNDP. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21834 | OECD and United Nations Development Programme | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by provider (%) \n \n Variable code: SG_PLN_PRVRIMON \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf \n \n Detailed sources: OECD and UNDP.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "OECD and United Nations Development Programme" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by provider (%) Variable code: SG_PLN_PRVRIMON Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-15-01.pdf Detailed sources: OECD and UNDP. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21833 | UN Statistics Division | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Mechanisms in place to enhance policy coherence for sustainable development (%) \n \n Variable code: SG_CPA_SDEVP \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-14-01.pdf \n \n Detailed sources: World Environment Situation Room", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "UN Statistics Division" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Mechanisms in place to enhance policy coherence for sustainable development (%) Variable code: SG_CPA_SDEVP Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-14-01.pdf Detailed sources: World Environment Situation Room | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21832 | International Monetary Fund (IMF) and World Bank | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Gross public sector debt, Central Government, as a proportion of GDP (%) \n \n Variable code: DP_DOD_DLD2_CR_CG_Z1 \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf \n \n Detailed sources: The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "International Monetary Fund (IMF) and World Bank" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Gross public sector debt, Central Government, as a proportion of GDP (%) Variable code: DP_DOD_DLD2_CR_CG_Z1 Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf Detailed sources: The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21831 | International Monetary Fund (IMF) | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Total reserves in months of imports (ratio) \n \n Variable code: FI_RES_TOTL_MO \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf \n \n Detailed sources: International Monetary Fund, International Financial Statistics and data files.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "International Monetary Fund (IMF)" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Total reserves in months of imports (ratio) Variable code: FI_RES_TOTL_MO Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf Detailed sources: International Monetary Fund, International Financial Statistics and data files. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21830 | International Monetary Fund (IMF), World Bank and Organisation for Economic Co-operation and Development | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Tax revenue as a proportion of GDP (%) \n \n Variable code: GC_TAX_TOTL_GD_ZS \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf \n \n Detailed sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "International Monetary Fund (IMF), World Bank and Organisation for Economic Co-operation and Development" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Tax revenue as a proportion of GDP (%) Variable code: GC_TAX_TOTL_GD_ZS Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf Detailed sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21829 | International Monetary Fund (IMF) | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Portfolio investment, net (Balance of Payments, current United States dollars) \n \n Variable code: BN_KLT_PTXL_CD \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf \n \n Detailed sources: International Monetary Fund, Balance of Payments Statistics Yearbook and data files.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "International Monetary Fund (IMF)" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Portfolio investment, net (Balance of Payments, current United States dollars) Variable code: BN_KLT_PTXL_CD Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf Detailed sources: International Monetary Fund, Balance of Payments Statistics Yearbook and data files. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21828 | World Trade Organization and World Bank | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Merchandise trade as a proportion of GDP (%) \n \n Variable code: TG_VAL_TOTL_GD_ZS \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf \n \n Detailed sources: World Trade Organization, and World Bank GDP estimates.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "World Trade Organization and World Bank" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Merchandise trade as a proportion of GDP (%) Variable code: TG_VAL_TOTL_GD_ZS Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf Detailed sources: World Trade Organization, and World Bank GDP estimates. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21827 | International Monetary Fund (IMF) | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Annual inflation, consumer prices (%) \n \n Variable code: FP_CPI_TOTL_ZG \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf \n \n Detailed sources: International Monetary Fund, International Financial Statistics and data files.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "International Monetary Fund (IMF)" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Annual inflation, consumer prices (%) Variable code: FP_CPI_TOTL_ZG Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf Detailed sources: International Monetary Fund, International Financial Statistics and data files. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21826 | World Bank | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Annual growth of imports of goods and services (%) \n \n Variable code: NE_IMP_GNFS_KD_ZG \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf \n \n Detailed sources: World Bank national accounts data, and OECD National Accounts data files.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "World Bank" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Annual growth of imports of goods and services (%) Variable code: NE_IMP_GNFS_KD_ZG Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf Detailed sources: World Bank national accounts data, and OECD National Accounts data files. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21825 | World Bank | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Annual growth of households and NPISHs final consumption expenditure (%) \n \n Variable code: NE_CON_PRVT_KD_ZG \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf \n \n Detailed sources: World Bank national accounts data, and OECD National Accounts data files.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "World Bank" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Annual growth of households and NPISHs final consumption expenditure (%) Variable code: NE_CON_PRVT_KD_ZG Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf Detailed sources: World Bank national accounts data, and OECD National Accounts data files. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21824 | World Bank | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Annual growth of the gross capital formation (%) \n \n Variable code: NE_GDI_TOTL_KD_ZG \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf \n \n Detailed sources: World Bank national accounts data, and OECD National Accounts data files.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "World Bank" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Annual growth of the gross capital formation (%) Variable code: NE_GDI_TOTL_KD_ZG Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf Detailed sources: World Bank national accounts data, and OECD National Accounts data files. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21823 | World Bank | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Annual growth of the general government final consumption expenditure (%) \n \n Variable code: NE_CON_GOVT_KD_ZG \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf \n \n Detailed sources: World Bank national accounts data, and OECD National Accounts data files.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "World Bank" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Annual growth of the general government final consumption expenditure (%) Variable code: NE_CON_GOVT_KD_ZG Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf Detailed sources: World Bank national accounts data, and OECD National Accounts data files. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
21822 | World Bank | { "link": "https://unstats.un.org/sdgs/indicators/database/", "retrievedDate": "2022-02-17", "additionalInfo": "Variable description: Annual GDP growth (%) \n \n Variable code: NY_GDP_MKTP_KD_ZG \n \n Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf \n \n Detailed sources: World Bank national accounts data, and OECD National Accounts data files.", "dataPublishedBy": "United Nations Statistics Division", "dataPublisherSource": "World Bank" } |
2022-02-17 15:02:27 | 2022-02-17 15:02:27 | United Nations Sustainable Development Goals - United Nations (2022-02) 5520 | Variable description: Annual GDP growth (%) Variable code: NY_GDP_MKTP_KD_ZG Metadata available at: https://unstats.un.org/sdgs/metadata/files/Metadata-17-13-01.pdf Detailed sources: World Bank national accounts data, and OECD National Accounts data files. | https://unstats.un.org/sdgs/indicators/database/ | United Nations Statistics Division |
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CREATE TABLE "sources" ( "id" INTEGER PRIMARY KEY AUTOINCREMENT, "name" VARCHAR(512) NULL , "description" TEXT NOT NULL , "createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP , "updatedAt" DATETIME NULL , "datasetId" INTEGER NULL, additionalInfo TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.additionalInfo')) VIRTUAL, link TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.link')) VIRTUAL, dataPublishedBy TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.dataPublishedBy')) VIRTUAL, FOREIGN KEY("datasetId") REFERENCES "datasets" ("id") ON UPDATE RESTRICT ON DELETE RESTRICT ); CREATE INDEX "sources_datasetId" ON "sources" ("datasetId");