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Methods: Multiple regression models; Source: Technical Report \"Size Estimates of Population at Risk of HIV Infection in Indonesia 2020\" Ministry of Health","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":1910327,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"KGZ","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2022,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"13 000","NumericValue":13000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Multiplier capture-recapture census and wisdom of the crowd;","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2022","TimeDimensionBegin":"2022-01-01T00:00:00+01:00","TimeDimensionEnd":"2022-12-31T00:00:00+01:00"},{"Id":9050655,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"MEX","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2019,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"240 000","NumericValue":240000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Literature review and population growth; Source: \u2022SEGOB/CONAPO. SS.DGIS. Estimaciones a partir de la muestra de la Encuesta Intercensal 2015 y de las Proyecciones de la Poblaci\u00f3n de los municipios de\u00a0M\u00e9xico 2016-2030 CONAPO. En: http://sinba08.salud.gob.mx/cubos/cubo_Poblacion_2019.htm (consulta abril 2020).\u2022Tracey L. Konstant Jerushah Rangasami Maria J. Stacey J16 Michelle L. Stewart y Coceka Nogoduka. Estimating the Number of Sex Workers in South Africa: Rapid Population Size Estimation. AIDS Behav (2015) 19:S3\u2013S15. \u2022Maria Stacey Tracey Konstant Jerushah Rangasami Michelle Stewar Gerbrand Mans. Estimating the size of the sex worker population in South Africa 2013. Sanac Southafrica 2013.\u2022Vandepitte R Lyerla G Dallabetta F Crabbe\u00b4 M Alary A Buve. Estimates of the number of female sex workers in different regions of the world. Sex Transm Infect 2006;82(Suppl III):iii18\u2013iii25. doi: 10.1136/sti.2006.02008. \u2022Fondation Scelles Charpenel Y. (under the direction of) 4rd Global Report. Prostitution: Exploitation Persecution Repression. Paris Ed. Economica 2016. Disponible en: http://www.fondationscelles.org/fr/ . consultado Marzo 2017.\u2022Lagunes Gait\u00e1n J. Informe M\u00e9xico 2018. Ciudad de M\u00e9xico 2017.\u2022Lubin G. There Are 42 Million Prostitutes In The World And Here's Where They Live. Dispoible en: http://www.businessinsider.com/there-are-42-million-prostitutes-in-the-world-and-heres-where-they-live-2012-1. Consultado 25 de Febrero 2016.","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":165038,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"NPL","TimeDimType":"YEAR","ParentLocationCode":"SEAR","ParentLocation":"South-East Asia","Dim1Type":null,"Dim1":null,"TimeDim":2023,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"85 500","NumericValue":85500.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Mapping and population growth;","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2023","TimeDimensionBegin":"2023-01-01T00:00:00+01:00","TimeDimensionEnd":"2023-12-31T00:00:00+01:00"},{"Id":95163,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"BTN","TimeDimType":"YEAR","ParentLocationCode":"SEAR","ParentLocation":"South-East Asia","Dim1Type":null,"Dim1":null,"TimeDim":2019,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"600","NumericValue":600.000000000,"Low":null,"High":null,"Comments":"Region: National; Methods: Literature review Desk review of program data Delphi Method Stakeholder Mapping Primary and Secondary Key Informant Mapping Mapping with Census and Enumeration Reverse Tracking Correction Service Multiplier Unique Object Multiplier Event Multiplier Wisdom of the Crowd Method Capture-Recapture Method Multiple Sample Capture-Recapture and Sequential Sampling Method; Source: Key Population size estimation study 2020","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":7353832,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"GNB","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2017,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"7900","NumericValue":7900.000000000,"Low":null,"High":null,"Comments":"Region: Bissor\u00e3 Bafat\u00e1 Gab\u00fa e SAB; Method: Social event wisdom of the crowds capture-recapture unique object multiplier and service multiplier; Source: Estudo Biol\u00f3gico e S\u00f3cio Comportamental e estimativa do tamanho nas popula\u00e7\u00f5es mais expostas ao risco de infe\u00e7\u00e3o pelo VIH na Rep\u00fablica da Guin\u00e9-Bissau","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2017","TimeDimensionBegin":"2017-01-01T00:00:00+01:00","TimeDimensionEnd":"2017-12-31T00:00:00+01:00"},{"Id":3757080,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"IDN","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2023,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"271 800","NumericValue":271800.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Service multiplier program data and extrapolation; Source: PSER report 2023","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2023","TimeDimensionBegin":"2023-01-01T00:00:00+01:00","TimeDimensionEnd":"2023-12-31T00:00:00+01:00"},{"Id":6433855,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"SLV","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2014,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"20 400","NumericValue":20400.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Spectrum estimate","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2014","TimeDimensionBegin":"2014-01-01T00:00:00+01:00","TimeDimensionEnd":"2014-12-31T00:00:00+01:00"},{"Id":2964041,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"MEX","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2018,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"241 000","NumericValue":241000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: % of the population; Source: CONAPO/Proyecciones de la Poblaci\u00f3n de M\u00e9xico 1990-2030. (http://pda.gob.mx/cubos/) (consulta julio 2016).; Tracey L. Konstant Jerushah Rangasami Maria J. Stacey J16 Michelle L. Stewart y Coceka Nogoduka. Estimating the Number of Sex Workers in South Africa: Rapid Population Size Estimation. AIDS Behav (2015) 19:S3\u2013S15.; Maria Stacey Tracey Konstant Jerushah Rangasami Michelle Stewar Gerbrand Mans. Estimating the size of the sex worker population in South Africa 2013. Sanac Southafrica 2013.; Vandepitte R Lyerla G Dallabetta F Crabbe\u00b4 M Alary A Buve. Estimates of the number of female sex workers in different regions of the world. Sex Transm Infect 2006;82(Suppl III):iii18\u2013iii25. doi: 10.1136/sti.2006.02008.; Fondation Scelles Charpenel Y. (under the direction of) 4rd Global Report. Prostitution: Exploitation Persecution Repression. Paris Ed. Economica 2016. Disponible en: http://www.fondationscelles.org/fr/ . consultado Marzo 2017.; Lagunes Gait\u00e1n J. Informe M\u00e9xico 2018. Ciudad de M\u00e9xico 2017.; Lubin G. There Are 42 Million Prostitutes In The World And Here's Where They Live. Dispoible en: http://www.businessinsider.com/there-are-42-million-prostitutes-in-the-world-and-heres-where-they-live-2012-1. Consultado 25 de Febrero 2016.","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2018","TimeDimensionBegin":"2018-01-01T00:00:00+01:00","TimeDimensionEnd":"2018-12-31T00:00:00+01:00"},{"Id":7975944,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"IND","TimeDimType":"YEAR","ParentLocationCode":"SEAR","ParentLocation":"South-East Asia","Dim1Type":null,"Dim1":null,"TimeDim":2022,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"995 500","NumericValue":995500.000000000,"Low":null,"High":null,"Comments":"Region: 654 districts; Methods: Programmatic Mapping; Source: PROGRAMMATIC MAPPING AND POPULATION SIZE ESTIMATION (p-MPSE) OF HIGH-RISK GROUPS","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2022","TimeDimensionBegin":"2022-01-01T00:00:00+01:00","TimeDimensionEnd":"2022-12-31T00:00:00+01:00"},{"Id":1808828,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"MHL","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2016,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"300","NumericValue":300.000000000,"Low":null,"High":null,"Comments":"Region: Majuro Atoll; 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Willie B. Weikum et al (2018) Kauntim mi tu: Multi-Site Summary Report from the Key Population Integrated Bio-Behavioural Survey Papua New Guinea. Papua New Guinea Institute of Medical Research and Kirby Institute UNSW Sydney: Goroka Papua New Guinea.","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":1188299,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"PAN","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2022,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"8711","NumericValue":8711.000000000,"Low":null,"High":null,"Comments":"Region: Panam\u00e1 Centro  Bocas del Toro Cocl\u00e9  Chiriqu\u00ed Los Santos Guna Yala y  Comarca Ng\u00e4be-Bugl\u00e9.; Methods: Capture-recapture and extrapolation; Source: Estimaci\u00f3n del tama\u00f1o de la poblaci\u00f3n de hombres que tienen sexo con hombres (HSH) mujeres trans (Trans) y trabajadoras sexuales (TS) de 18 a\u00f1os y m\u00e1s caracterizaci\u00f3n de esta poblaci\u00f3n uso de servicios de salud uso de cond\u00f3n discriminaci\u00f3n y violencia en la Rep\u00fablica de Panam\u00e1 para el a\u00f1o 2018","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2022","TimeDimensionBegin":"2022-01-01T00:00:00+01:00","TimeDimensionEnd":"2022-12-31T00:00:00+01:00"},{"Id":9353772,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"MKD","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2011,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"3600","NumericValue":3600.000000000,"Low":null,"High":null,"Comments":"Region: Skopje; 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Hagen; Method: Unique object multiplier; Source: Integrated IBBS Survey 2017","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2017","TimeDimensionBegin":"2017-01-01T00:00:00+01:00","TimeDimensionEnd":"2017-12-31T00:00:00+01:00"},{"Id":3574378,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"TUN","TimeDimType":"YEAR","ParentLocationCode":"EMR","ParentLocation":"Eastern Mediterranean","Dim1Type":null,"Dim1":null,"TimeDim":2011,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"25 000","NumericValue":25000.000000000,"Low":null,"High":null,"Comments":"Region: 5 sites; Method: Mapping; Source: Cartographie des sites de travailleuses de sexe par les ONG et estimation de l'\u00e9tude MoT","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2011","TimeDimensionBegin":"2011-01-01T00:00:00+01:00","TimeDimensionEnd":"2011-12-31T00:00:00+01:00"},{"Id":2546494,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"SSD","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2013,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"5000","NumericValue":5000.000000000,"Low":null,"High":null,"Comments":"Region: Central Equatorial and Western Equatorial","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2013","TimeDimensionBegin":"2013-01-01T00:00:00+01:00","TimeDimensionEnd":"2013-12-31T00:00:00+01:00"},{"Id":4418221,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"NIC","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2020,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"14 800","NumericValue":14800.000000000,"Low":null,"High":null,"Comments":"Region: National; 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Methods: Capture-recapture and extrapolation; Source: Estimaci\u00f3n del tama\u00f1o de la poblaci\u00f3n de hombres que tienen sexo con hombres (HSH) mujeres trans (Trans) y trabajadoras sexuales (TS) de 18 a\u00f1os y m\u00e1s caracterizaci\u00f3n de esta poblaci\u00f3n uso de servicios de salud uso de cond\u00f3n discriminaci\u00f3n y violencia en la Rep\u00fablica de Panam\u00e1 para el a\u00f1o 2018","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2021","TimeDimensionBegin":"2021-01-01T00:00:00+01:00","TimeDimensionEnd":"2021-12-31T00:00:00+01:00"},{"Id":2058925,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"CMR","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2015,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"112 600","NumericValue":112600.000000000,"Low":null,"High":null,"Comments":"Region: National","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2015","TimeDimensionBegin":"2015-01-01T00:00:00+01:00","TimeDimensionEnd":"2015-12-31T00:00:00+01:00"},{"Id":2376128,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"PER","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2023,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"69 600","NumericValue":69600.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Unknown ; Source: Spectrum - EPP","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2023","TimeDimensionBegin":"2023-01-01T00:00:00+01:00","TimeDimensionEnd":"2023-12-31T00:00:00+01:00"},{"Id":4165871,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"BEN","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2012,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"12 800","NumericValue":12800.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Mapping","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2012","TimeDimensionBegin":"2012-01-01T00:00:00+01:00","TimeDimensionEnd":"2012-12-31T00:00:00+01:00"},{"Id":4026203,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"ZMB","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2016,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"18 000","NumericValue":18000.000000000,"Low":null,"High":null,"Comments":"Region: Lusaka Ndola Kapiri Mposhi Livingstone solwezi  KitweMongu Mansa & Chipata; Method: Mapping and enumeration; Source: Formative assessment of HIV risk and size estimation using census and enumeration methods among key populations most at risk of HIV in Zambia","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2016","TimeDimensionBegin":"2016-01-01T00:00:00+01:00","TimeDimensionEnd":"2016-12-31T00:00:00+01:00"},{"Id":2668307,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"HTI","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2015,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"112 000","NumericValue":112000.000000000,"Low":null,"High":null,"Comments":"Region: Ouest Sud Artibonite and Nord-est; Method: Unique object and multiplier","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2015","TimeDimensionBegin":"2015-01-01T00:00:00+01:00","TimeDimensionEnd":"2015-12-31T00:00:00+01:00"},{"Id":9780497,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"LKA","TimeDimType":"YEAR","ParentLocationCode":"SEAR","ParentLocation":"South-East Asia","Dim1Type":null,"Dim1":null,"TimeDim":2013,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"14 100","NumericValue":14100.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Mapping","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2013","TimeDimensionBegin":"2013-01-01T00:00:00+01:00","TimeDimensionEnd":"2013-12-31T00:00:00+01:00"},{"Id":3448892,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"NER","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2020,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"54 000","NumericValue":54000.000000000,"Low":null,"High":null,"Comments":"Region: National; Source: Rapport Estimation EPP 2020","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2020","TimeDimensionBegin":"2020-01-01T00:00:00+01:00","TimeDimensionEnd":"2020-12-31T00:00:00+01:00"},{"Id":4337184,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"CAF","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2019,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"3900","NumericValue":3900.000000000,"Low":null,"High":null,"Comments":"Region: Capitale (Bangui) pr\u00e9fectures (Berberati ; Bouar) sous-pr\u00e9fetures (Boali ; Carnot); Method: Wisdom of the masses unique object multiplier and capture-recapture; Source: Enqu\u00eate  sur la cartographie l'estimation de la taille des professionnelles de sexe  et des hommes ayant des rapports sexuels avec d'autres hommes \u00e0 Bangui Boali Bouar Carnot et Berberati en R\u00e9publique Centrafricaine en 2019","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":8951868,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"NGA","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2019,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"874 000","NumericValue":874000.000000000,"Low":null,"High":null,"Comments":"Region: National; Methods: Programmatic mapping for 10 states Multiple source capture recapture for 7 states and weighted average % adult population and population growth for the rest of states; Source: Key Population size estimation","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":10003485,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"SSD","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2022,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"45 000","NumericValue":45000.000000000,"Low":null,"High":null,"Comments":"Region: National; Methods: Unknown; Source: KP workbook","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2022","TimeDimensionBegin":"2022-01-01T00:00:00+01:00","TimeDimensionEnd":"2022-12-31T00:00:00+01:00"},{"Id":1735262,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"NLD","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2011,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"25 000","NumericValue":25000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Surveys and registries","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2011","TimeDimensionBegin":"2011-01-01T00:00:00+01:00","TimeDimensionEnd":"2011-12-31T00:00:00+01:00"},{"Id":1836933,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"TLS","TimeDimType":"YEAR","ParentLocationCode":"SEAR","ParentLocation":"South-East Asia","Dim1Type":null,"Dim1":null,"TimeDim":2023,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"5600","NumericValue":5600.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Mapping size estimated and triangulation;","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2023","TimeDimensionBegin":"2023-01-01T00:00:00+01:00","TimeDimensionEnd":"2023-12-31T00:00:00+01:00"},{"Id":8853915,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"BWA","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2012,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"4200","NumericValue":4200.000000000,"Low":null,"High":null,"Comments":"Region: Kasane Gaborone and Francistown; Method: TLS","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2012","TimeDimensionBegin":"2012-01-01T00:00:00+01:00","TimeDimensionEnd":"2012-12-31T00:00:00+01:00"},{"Id":2928699,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"NZL","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2022,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"3750","NumericValue":3750.000000000,"Low":null,"High":null,"Comments":"Region: National; Methods: Unknown; Source: NZPC: Aotearoa New Zealand Sex Workers Collective (NGO)","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2022","TimeDimensionBegin":"2022-01-01T00:00:00+01:00","TimeDimensionEnd":"2022-12-31T00:00:00+01:00"},{"Id":650258,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"AGO","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2017,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"54 000","NumericValue":54000.000000000,"Low":null,"High":null,"Comments":"Region: 5 provinces; Method: PLACE; Source: PLACE","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2017","TimeDimensionBegin":"2017-01-01T00:00:00+01:00","TimeDimensionEnd":"2017-12-31T00:00:00+01:00"},{"Id":6544530,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"ZAF","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2018,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"24 000","NumericValue":24000.000000000,"Low":null,"High":null,"Comments":"Region: Johannesburg Metro Cape Town Metro Durban Metro; Method: The methods included in the current population size exercise were: (i) the unique object event and service multipliers (ii) successive sampling PSE (SS-PSE) and (iii) a synthesis of the methods using the Anchored Multiplier.  The Anchored Multiplier is a novel Bayesian approach which synthesizes the PSE produced by multipliers coupled to a prior estimate to arrive at a single consensus estimate and a 95% credible interval; Source: Behavioral Surveillance Survey (Respondent driven sampling in 3 Metropolitan cities - Johannesburg Durban and Cape Town)","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2018","TimeDimensionBegin":"2018-01-01T00:00:00+01:00","TimeDimensionEnd":"2018-12-31T00:00:00+01:00"},{"Id":2110035,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"TJK","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2011,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"12 500","NumericValue":12500.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Capture-recapture and Delphi","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2011","TimeDimensionBegin":"2011-01-01T00:00:00+01:00","TimeDimensionEnd":"2011-12-31T00:00:00+01:00"},{"Id":3855012,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"PHL","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2019,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"210 000","NumericValue":210000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Mapping Program multiplier Extrapolation and projection; Source: Projected based on the 2015 Size Estimation","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":8518073,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"LAO","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2016,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"13 400","NumericValue":13400.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: % of female adult population","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2016","TimeDimensionBegin":"2016-01-01T00:00:00+01:00","TimeDimensionEnd":"2016-12-31T00:00:00+01:00"},{"Id":8530780,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"COL","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2012,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"7200","NumericValue":7200.000000000,"Low":null,"High":null,"Comments":"Region: Bogot\u00e1 Medell\u00edn Barranquilla Cali Bucaramanga; Method: Census","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2012","TimeDimensionBegin":"2012-01-01T00:00:00+01:00","TimeDimensionEnd":"2012-12-31T00:00:00+01:00"},{"Id":6468484,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"MAR","TimeDimType":"YEAR","ParentLocationCode":"EMR","ParentLocation":"Eastern Mediterranean","Dim1Type":null,"Dim1":null,"TimeDim":2016,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"75 000","NumericValue":75000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Modified Delphi service multiplier unique object multiplier SSPSE capture-recapture and mapping","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2016","TimeDimensionBegin":"2016-01-01T00:00:00+01:00","TimeDimensionEnd":"2016-12-31T00:00:00+01:00"},{"Id":7858147,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"MDA","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2017,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"21 300","NumericValue":21300.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: NSUM and extrapolation","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2017","TimeDimensionBegin":"2017-01-01T00:00:00+01:00","TimeDimensionEnd":"2017-12-31T00:00:00+01:00"},{"Id":1431426,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"KHM","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2019,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"55 000","NumericValue":55000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Triangulation and consensus; Source: Based on IBBS 2019 and data triangulation with national  prevention database that used UIC","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":2052980,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"COL","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2023,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"336 700","NumericValue":336700.000000000,"Low":null,"High":null,"Comments":"Region: National; 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Method: Capture-recapture and others;","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2023","TimeDimensionBegin":"2023-01-01T00:00:00+01:00","TimeDimensionEnd":"2023-12-31T00:00:00+01:00"},{"Id":6557430,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"GTM","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2022,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"86 824","NumericValue":86824.000000000,"Low":null,"High":null,"Comments":"Region: National; Methods: Projected from the census and enumeration results from 2010; Source: Projected from the Estimaci\u00f3n del tama\u00f1o de poblaciones en mayor riesgo y vulnerabilidad al VIH: hombres que tienen sexo con hombres y trabajadoras sexuales en seis ciudades de Guatemala using the XII Censo Nacional de Poblaci\u00f3n y VII de Vivienda","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2022","TimeDimensionBegin":"2022-01-01T00:00:00+01:00","TimeDimensionEnd":"2022-12-31T00:00:00+01:00"},{"Id":10167605,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"BGR","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2011,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"10 000","NumericValue":10000.000000000,"Low":null,"High":null,"Comments":"Region: Expert opinion","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2011","TimeDimensionBegin":"2011-01-01T00:00:00+01:00","TimeDimensionEnd":"2011-12-31T00:00:00+01:00"},{"Id":7547451,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"GRC","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2014,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"900","NumericValue":900.000000000,"Low":null,"High":null,"Comments":"Region: National ; Source: Survey \"Sex work and Human trafficking of women in Greek\" conducted by  NGO Praksis  & CMT  Prooptiki  Funded by the General Secretariat for Gender Equality (GSGE)","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2014","TimeDimensionBegin":"2014-01-01T00:00:00+01:00","TimeDimensionEnd":"2014-12-31T00:00:00+01:00"},{"Id":5111411,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"PRY","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2020,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"9000","NumericValue":9000.000000000,"Low":null,"High":null,"Comments":"Region: \u00c1rea Metropolitana (Asuncion y Central) Amambay Caaguazu and Alto Parana; Methods: M\u00e9todo de captura-recaptura (CR) con modelos de regresi\u00f3n log-lineales","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2020","TimeDimensionBegin":"2020-01-01T00:00:00+01:00","TimeDimensionEnd":"2020-12-31T00:00:00+01:00"},{"Id":2478307,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"SGP","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2019,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"4900","NumericValue":4900.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Wisdom of the crowds; Source: Online survey","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":5504586,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"BLR","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2019,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"20 000","NumericValue":20000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Unknown; Source: \u041e\u0442\u0447\u0435\u0442  \"\u0421\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u043d\u0438\u0435 \u044d\u043f\u0438\u0434\u0435\u043c\u0438\u0438 \u0412\u0418\u0427 \u0438 \u0441\u043e\u043a\u0440\u0430\u0449\u0435\u043d\u0438\u0435 \u0437\u0430\u0431\u043e\u043b\u0435\u0432\u0430\u0435\u043c\u043e\u0441\u0442\u0438 \u0438 \u0441\u043c\u0435\u0440\u0442\u043d\u043e\u0441\u0442\u0438 \u043e\u0442 \u0412\u0418\u0427 \u0432 \u0411\u0435\u043b\u0430\u0440\u0443\u0441\u0438\"  \u0437\u0430 2019 \u0433\u043e\u0434","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":6360735,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"PHL","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2022,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"231 400","NumericValue":231400.000000000,"Low":null,"High":null,"Comments":"Region: National; Methods: Mapping Program multiplier Extrapolation and projection; Source: Projected based on the 2015 Size Estimation","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2022","TimeDimensionBegin":"2022-01-01T00:00:00+01:00","TimeDimensionEnd":"2022-12-31T00:00:00+01:00"},{"Id":9806325,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"AFG","TimeDimType":"YEAR","ParentLocationCode":"EMR","ParentLocation":"Eastern Mediterranean","Dim1Type":null,"Dim1":null,"TimeDim":2012,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"4900","NumericValue":4900.000000000,"Low":null,"High":null,"Comments":"Region: Two cities; Method: Multiplier","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2012","TimeDimensionBegin":"2012-01-01T00:00:00+01:00","TimeDimensionEnd":"2012-12-31T00:00:00+01:00"},{"Id":428436,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"AFG","TimeDimType":"YEAR","ParentLocationCode":"EMR","ParentLocation":"Eastern Mediterranean","Dim1Type":null,"Dim1":null,"TimeDim":2014,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"6000","NumericValue":6000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Extrapolation; Source: NACP Afghanistan","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2014","TimeDimensionBegin":"2014-01-01T00:00:00+01:00","TimeDimensionEnd":"2014-12-31T00:00:00+01:00"},{"Id":1735674,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"COG","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2017,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"9700","NumericValue":9700.000000000,"Low":null,"High":null,"Comments":"Region: 5 cities (Pointe-Noire Ouesso Pokola and Dolisie); Method: Programmatic mapping; Source: RAPPORT DE LA CARTOGRAPHIE PROGRAMMATIQUE ET ESTIMATION DE LA TAILLE DES POPULATIONS CLES LES PLUS EXPOSEES AUX RISQUES DU VIH/SIDA","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2017","TimeDimensionBegin":"2017-01-01T00:00:00+01:00","TimeDimensionEnd":"2017-12-31T00:00:00+01:00"},{"Id":6659348,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"SEN","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2018,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"22 000","NumericValue":22000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Capture-recapture and extrapolation; Source: Extrapolation des r\u00e9sultats d'estimation de la taille au niveau de Dakar en 2012 (Rapport Size Estimation)","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2018","TimeDimensionBegin":"2018-01-01T00:00:00+01:00","TimeDimensionEnd":"2018-12-31T00:00:00+01:00"},{"Id":5434803,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"AFG","TimeDimType":"YEAR","ParentLocationCode":"EMR","ParentLocation":"Eastern Mediterranean","Dim1Type":null,"Dim1":null,"TimeDim":2015,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"12 500","NumericValue":12500.000000000,"Low":null,"High":null,"Comments":"Region: Kabul Herat Mazar i Sharif; Method: Extrapolation; Source: 2012 IBBS results extrapolated to 2015","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2015","TimeDimensionBegin":"2015-01-01T00:00:00+01:00","TimeDimensionEnd":"2015-12-31T00:00:00+01:00"},{"Id":7598502,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"COD","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2018,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"350 300","NumericValue":350300.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Unique object and social event multiplier and RDS and extrapolation; Source: Rapport de l'enqu\u00eate sur la Cartographie programmatique et Estimation de taille des populations cl\u00e9s expos\u00e9es au risque du VIH/Sida et des IST dans 12 Provinces de la RDC","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2018","TimeDimensionBegin":"2018-01-01T00:00:00+01:00","TimeDimensionEnd":"2018-12-31T00:00:00+01:00"},{"Id":6576707,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"ETH","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2013,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"19 300","NumericValue":19300.000000000,"Low":null,"High":null,"Comments":"Region: Major cities in all regions (Addis Ababa Adama Asosa Bahi Dar Dire Dawa Gambella Harar Jigjiga Mekelle and Semera-Iogia); Method: Capture-recapture and unique object multiplier","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2013","TimeDimensionBegin":"2013-01-01T00:00:00+01:00","TimeDimensionEnd":"2013-12-31T00:00:00+01:00"},{"Id":4971953,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"PHL","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2021,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"229 400","NumericValue":229400.000000000,"Low":null,"High":null,"Comments":"Region: National; Methods: Mapping Program multiplier Extrapolation and projection; Source: Projected based on the 2015 Size Estimation","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2021","TimeDimensionBegin":"2021-01-01T00:00:00+01:00","TimeDimensionEnd":"2021-12-31T00:00:00+01:00"},{"Id":2795873,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"CIV","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2022,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"66 617","NumericValue":66617.000000000,"Low":null,"High":null,"Comments":"Region: National; Methods: Unknown; Source: KP workbook","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2022","TimeDimensionBegin":"2022-01-01T00:00:00+01:00","TimeDimensionEnd":"2022-12-31T00:00:00+01:00"},{"Id":758503,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"MMR","TimeDimType":"YEAR","ParentLocationCode":"SEAR","ParentLocation":"South-East Asia","Dim1Type":null,"Dim1":null,"TimeDim":2015,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"66 000","NumericValue":66000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Unique object multiplier; service multiplier;  successive sampling size estimation (SS-PSE); Wisdom of Crowds; key informants and NGOs' best guess","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2015","TimeDimensionBegin":"2015-01-01T00:00:00+01:00","TimeDimensionEnd":"2015-12-31T00:00:00+01:00"},{"Id":181118,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"NER","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2017,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"47 600","NumericValue":47600.000000000,"Low":null,"High":null,"Comments":"Region: National","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2017","TimeDimensionBegin":"2017-01-01T00:00:00+01:00","TimeDimensionEnd":"2017-12-31T00:00:00+01:00"},{"Id":3684155,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"SWZ","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2020,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"7000","NumericValue":7000.000000000,"Low":null,"High":null,"Comments":"Region: Mbabane Pigg's Peak Manzini Siteki and Nhlangano; Methods: SS-PSE; Source: BSS 2020","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2020","TimeDimensionBegin":"2020-01-01T00:00:00+01:00","TimeDimensionEnd":"2020-12-31T00:00:00+01:00"},{"Id":5403233,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"GUY","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2014,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"3800","NumericValue":3800.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Programmatic mapping estimate","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2014","TimeDimensionBegin":"2014-01-01T00:00:00+01:00","TimeDimensionEnd":"2014-12-31T00:00:00+01:00"},{"Id":676163,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"ESP","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2011,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"70 300","NumericValue":70300.000000000,"Low":null,"High":null,"Comments":"Region: National ; Source: Encuesta Nacional de Salud Sexual 2009. Ministerio de Sanidad y Pol\u00edtica social en colaboraci\u00f3n con el Centro de Investigaciones Sociol\u00f3gicas","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2011","TimeDimensionBegin":"2011-01-01T00:00:00+01:00","TimeDimensionEnd":"2011-12-31T00:00:00+01:00"},{"Id":5752381,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"MDA","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2020,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"15 800","NumericValue":15800.000000000,"Low":null,"High":null,"Comments":"Region: National; Methods: Multiplier method capture-recapture method successive sampling methods and consensus; Source: Estimating the size of people who inject drugs female sex workers and men who have sex with men in the Republic of Moldova 2020 (http://sdmc.md/wp-content/uploads/2021/01/National_size_estimation_RM_report_22_01_2021-ENGL.pdf)","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2020","TimeDimensionBegin":"2020-01-01T00:00:00+01:00","TimeDimensionEnd":"2020-12-31T00:00:00+01:00"},{"Id":2091507,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"TJK","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2022,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"18 444","NumericValue":18444.000000000,"Low":null,"High":null,"Comments":"Region: National; Methods: Multiplier; Source: \u041e\u0446\u0435\u043d\u043a\u0430 \u0447\u0438\u0441\u043b\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u0440\u0430\u0431\u043e\u0442\u043d\u0438\u043a\u043e\u0432 \u0441\u0435\u043a\u0441\u0430 \u0432 \u0440\u0430\u043c\u043a\u0430\u0445 \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0433\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0433\u043e \u0431\u0438\u043e\u043f\u043e\u0432\u0435\u0434\u0435\u043d\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u0432 2022 \u0433\u043e\u0434\u0443.","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2022","TimeDimensionBegin":"2022-01-01T00:00:00+01:00","TimeDimensionEnd":"2022-12-31T00:00:00+01:00"},{"Id":7979283,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"PRY","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2017,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"5200","NumericValue":5200.000000000,"Low":null,"High":null,"Comments":"Region: Subnational; Method: Capture-recapture and log-lineal models","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2017","TimeDimensionBegin":"2017-01-01T00:00:00+01:00","TimeDimensionEnd":"2017-12-31T00:00:00+01:00"},{"Id":5422320,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"CMR","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2018,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"70 500","NumericValue":70500.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Programmatic mapping; Source: Rapport  cartographie programmatique et estimation de taille des travailleuses de sexe des hommes ayant des rapports sexuels avec des hommes les usagers de drogue et les adolescent(e)s et jeunes vuln\u00e9rables au VIH au Cameroun","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2018","TimeDimensionBegin":"2018-01-01T00:00:00+01:00","TimeDimensionEnd":"2018-12-31T00:00:00+01:00"},{"Id":6341951,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"BWA","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2017,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"6700","NumericValue":6700.000000000,"Low":null,"High":null,"Comments":"Region: 12 health districts (Boteti Chobe Greater Francistown. Greater Gaborone Kgalagadi North Kweneng West Ngamiland OkavangoPalapyeSelebi-Phikwe Serowe and Tutume; Method: Mapping; Source: Mapping & Size Estimation of Select Key Populations in Botswana (2017)","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2017","TimeDimensionBegin":"2017-01-01T00:00:00+01:00","TimeDimensionEnd":"2017-12-31T00:00:00+01:00"},{"Id":9556087,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"AZE","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2011,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"25 100","NumericValue":25100.000000000,"Low":null,"High":null,"Comments":"Region: Baku Sumgayit Ganja Masally Bilasuvar Zakatala and Kazakh; Method: Capture-recapture; Source: \u0418\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u0412\u0418\u0427\u2013\u0438\u043d\u0444\u0435\u043a\u0446\u0438\u0438 \u0438 \u0444\u0430\u043a\u0442\u043e\u0440\u043e\u0432 \u0440\u0438\u0441\u043a\u0430 \u0437\u0430\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u0432 \u043f\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0438 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0443\u044f\u0437\u0432\u0438\u043c\u044b\u0445 \u0433\u0440\u0443\u043f\u043f \u043d\u0430\u0441\u0435\u043b\u0435\u043d\u0438\u044f","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2011","TimeDimensionBegin":"2011-01-01T00:00:00+01:00","TimeDimensionEnd":"2011-12-31T00:00:00+01:00"},{"Id":9762274,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"RWA","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2018,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"13 700","NumericValue":13700.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Capture - recapture; Source: Female sex workers population size estimation in Rwanda","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2018","TimeDimensionBegin":"2018-01-01T00:00:00+01:00","TimeDimensionEnd":"2018-12-31T00:00:00+01:00"},{"Id":2364302,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"MMR","TimeDimType":"YEAR","ParentLocationCode":"SEAR","ParentLocation":"South-East Asia","Dim1Type":null,"Dim1":null,"TimeDim":2023,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"77 500","NumericValue":77500.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Unique object multiplier service multiplier successive sampling size estimation (SS-PSE) key informants wisdom of crowds and population growth; Source: IBBS/PSE and population growth","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2023","TimeDimensionBegin":"2023-01-01T00:00:00+01:00","TimeDimensionEnd":"2023-12-31T00:00:00+01:00"},{"Id":9199984,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"KEN","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2013,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"133 700","NumericValue":133700.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Consensus and mapping","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2013","TimeDimensionBegin":"2013-01-01T00:00:00+01:00","TimeDimensionEnd":"2013-12-31T00:00:00+01:00"},{"Id":924022,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"DOM","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2015,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"97 800","NumericValue":97800.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Literature review and multiplier; Source: Plan Estrat\u00e9gico Nacional 2015-2018 basado en el estudio de Kerrigan (2004)","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2015","TimeDimensionBegin":"2015-01-01T00:00:00+01:00","TimeDimensionEnd":"2015-12-31T00:00:00+01:00"},{"Id":4141461,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"THA","TimeDimType":"YEAR","ParentLocationCode":"SEAR","ParentLocation":"South-East Asia","Dim1Type":null,"Dim1":null,"TimeDim":2022,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"80 741","NumericValue":80741.000000000,"Low":null,"High":null,"Comments":"Region: National; Methods: From % of male factory workers visiting sex workers; Source: IBBS and projection","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2022","TimeDimensionBegin":"2022-01-01T00:00:00+01:00","TimeDimensionEnd":"2022-12-31T00:00:00+01:00"},{"Id":8721548,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"SSD","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2019,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"8400","NumericValue":8400.000000000,"Low":null,"High":null,"Comments":"Region: Yambio and Wau; Method: Capture-recapture; Source: IBBS","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":6729459,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"NER","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2018,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"47 700","NumericValue":47700.000000000,"Low":null,"High":null,"Comments":"Region: National ; Source: Rapport Estimation EPP 2018","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2018","TimeDimensionBegin":"2018-01-01T00:00:00+01:00","TimeDimensionEnd":"2018-12-31T00:00:00+01:00"},{"Id":4255670,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"SYC","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2015,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"600","NumericValue":600.000000000,"Low":null,"High":null,"Comments":"Region: Main island Mahe; Method: Unique object multiplier","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2015","TimeDimensionBegin":"2015-01-01T00:00:00+01:00","TimeDimensionEnd":"2015-12-31T00:00:00+01:00"},{"Id":9543572,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"YEM","TimeDimType":"YEAR","ParentLocationCode":"EMR","ParentLocation":"Eastern Mediterranean","Dim1Type":null,"Dim1":null,"TimeDim":2011,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"54 000","NumericValue":54000.000000000,"Low":null,"High":null,"Comments":null,"Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2011","TimeDimensionBegin":"2011-01-01T00:00:00+01:00","TimeDimensionEnd":"2011-12-31T00:00:00+01:00"},{"Id":3329294,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"KHM","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2014,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"34 000","NumericValue":34000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Programmatic data; Source: Programmatic data","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2014","TimeDimensionBegin":"2014-01-01T00:00:00+01:00","TimeDimensionEnd":"2014-12-31T00:00:00+01:00"},{"Id":8797764,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"PAN","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2018,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"8300","NumericValue":8300.000000000,"Low":null,"High":null,"Comments":"Region: Azuero Bocas del Toro Chiriqu\u00ed Cocl\u00e9  Comarca Ng\u00e4be-Bugl\u00e9 Panam\u00e1 Centro Panam\u00e1 Oeste Veraguas  Panam\u00e1 Este y Panam\u00e1 Norte; Method: Capture-recapture; Source: Estimaci\u00f3n del tama\u00f1o de la poblaci\u00f3n de hombres que tienen sexo con hombres (HSH) mujeres trans (Trans) y trabajadoras sexuales (TS) de 18 a\u00f1os y m\u00e1s caracterizaci\u00f3n de esta poblaci\u00f3n uso de servicios de salud uso de cond\u00f3n discriminaci\u00f3n y violencia en la Rep\u00fablica de Panam\u00e1 para el a\u00f1o 2018","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2018","TimeDimensionBegin":"2018-01-01T00:00:00+01:00","TimeDimensionEnd":"2018-12-31T00:00:00+01:00"},{"Id":5816093,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"CIV","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2014,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"9200","NumericValue":9200.000000000,"Low":null,"High":null,"Comments":"Region: District of Abidjan; Method: Triangulation of the follow methods: unique object multiplier wisdom of the masses  capture \u2013 recapture  and multiplier; Source: IBBS","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2014","TimeDimensionBegin":"2014-01-01T00:00:00+01:00","TimeDimensionEnd":"2014-12-31T00:00:00+01:00"},{"Id":3132593,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"BFA","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2017,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"21 900","NumericValue":21900.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: PLACE","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2017","TimeDimensionBegin":"2017-01-01T00:00:00+01:00","TimeDimensionEnd":"2017-12-31T00:00:00+01:00"},{"Id":3545031,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"PHL","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2020,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"227 400","NumericValue":227400.000000000,"Low":null,"High":null,"Comments":"Region: National; Methods: Mapping Program multiplier Extrapolation and projection; Source: Projected based on the 2015 Size Estimation","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2020","TimeDimensionBegin":"2020-01-01T00:00:00+01:00","TimeDimensionEnd":"2020-12-31T00:00:00+01:00"},{"Id":733565,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"URY","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2017,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"7800","NumericValue":7800.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: % of adult population","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2017","TimeDimensionBegin":"2017-01-01T00:00:00+01:00","TimeDimensionEnd":"2017-12-31T00:00:00+01:00"},{"Id":1381397,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"MEX","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2017,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"239 200","NumericValue":239200.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: % of adult population; Source: Fondation Schelles (2016)","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2017","TimeDimensionBegin":"2017-01-01T00:00:00+01:00","TimeDimensionEnd":"2017-12-31T00:00:00+01:00"},{"Id":5454317,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"CMR","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2013,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"38 600","NumericValue":38600.000000000,"Low":null,"High":null,"Comments":"Source: Cameroon Key Population Size Estimates research to Prevention (R2P) Cameroon","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2013","TimeDimensionBegin":"2013-01-01T00:00:00+01:00","TimeDimensionEnd":"2013-12-31T00:00:00+01:00"},{"Id":7294105,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"KHM","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2022,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"52 338","NumericValue":52338.000000000,"Low":null,"High":null,"Comments":"Region: National; 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Method: Unknown; Source: Mapping and Size Estimation of Key Populations and HIV Risk Behaviors in Bangladesh 2023","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2023","TimeDimensionBegin":"2023-01-01T00:00:00+01:00","TimeDimensionEnd":"2023-12-31T00:00:00+01:00"},{"Id":5670199,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"COL","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2011,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"237 200","NumericValue":237200.000000000,"Low":null,"High":null,"Comments":"Region: National","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2011","TimeDimensionBegin":"2011-01-01T00:00:00+01:00","TimeDimensionEnd":"2011-12-31T00:00:00+01:00"},{"Id":8074809,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"HTI","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2023,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"87 600","NumericValue":87600.000000000,"Low":null,"High":null,"Comments":"Region: Cap-Haitien / Carrefour / Cayes / Gonaives / Hinche / jacmel / Ouanaminthe / P\u00e9tiion-Ville / Saint-Marc; 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Method: PLACE; Source: 2017 Global Fund Concept Note","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2016","TimeDimensionBegin":"2016-01-01T00:00:00+01:00","TimeDimensionEnd":"2016-12-31T00:00:00+01:00"},{"Id":9337673,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"PAN","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2014,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"5200","NumericValue":5200.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Enumeration and capture-recapture; Source:  Informe \"Estimaci\u00f3n del tama\u00f1o de las poblaciones clave en Panam\u00e1\".W.M. 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Methods: Unique object multiplier service multiplier successive sampling size estimation (SS-PSE) key informants and wisdom of crowds; Source: IBBS/PSE","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":7859336,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"NIC","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2021,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"15 400","NumericValue":15400.000000000,"Low":null,"High":null,"Comments":"Region: National; Methods: Programmatic mapping and extrapolation; Source: Estudio de mapeo Program\u00e1tico and extrapolation 2021","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2021","TimeDimensionBegin":"2021-01-01T00:00:00+01:00","TimeDimensionEnd":"2021-12-31T00:00:00+01:00"},{"Id":6939309,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"UGA","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2017,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"230 000","NumericValue":230000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: PLACE; Source: Consultant Report: Size Estimation of Key Populations in Uganda","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2017","TimeDimensionBegin":"2017-01-01T00:00:00+01:00","TimeDimensionEnd":"2017-12-31T00:00:00+01:00"},{"Id":8753855,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"KGZ","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2013,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"7100","NumericValue":7100.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Expert opinion capture-recapture direct and indirect multiplier","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2013","TimeDimensionBegin":"2013-01-01T00:00:00+01:00","TimeDimensionEnd":"2013-12-31T00:00:00+01:00"},{"Id":7319988,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"THA","TimeDimType":"YEAR","ParentLocationCode":"SEAR","ParentLocation":"South-East Asia","Dim1Type":null,"Dim1":null,"TimeDim":2015,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"147 000","NumericValue":147000.000000000,"Low":null,"High":null,"Comments":"Region: National; 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Methods: % of the female population; Source: Rapport Estimation EPP 2020","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2021","TimeDimensionBegin":"2021-01-01T00:00:00+01:00","TimeDimensionEnd":"2021-12-31T00:00:00+01:00"},{"Id":5659256,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"MEX","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2016,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"236 900","NumericValue":236900.000000000,"Low":null,"High":null,"Comments":"Region: 32 sites; Method: % of adult population; Source: SG/CONAPO.Proyecciones de los Nacimientos de M\u00e9xico 1990-2030. Disponible en: http://pda.salud.gob.mx/cubos/. Consultado marzo 2017. Tracey L. Konstant Jerushah Rangasami Maria J. Stacey J16 Michelle L. Stewart y Coceka Nogoduka. Estimating the Number of Sex Workers in South Africa: Rapid Population Size Estimation. AIDS Behav (2015) 19:S3\u2013S15. Maria Stacey Tracey Konstant Jerushah Rangasami Michelle Stewar Gerbrand Mans. Estimating the size of the sex worker population in South Africa 2013. Sanac Southafrica 2013. Vandepitte R Lyerla G Dallabetta F Crabbe\u00b4 M Alary A Buve. Estimates of the number of female sex workers in different regions of the world. Sex Transm Infect 2006;82(Suppl III):iii18\u2013iii25. doi: 10.1136/sti.2006.02008. Fondation Scelles Charpenel Y. (under the direction of) 4rd Global Report. Prostitution: Exploitation Persecution Repression. Paris Ed. Economica 2016. Disponible en: http://www.fondationscelles.org/fr/ . consultado Marzo 2017. Lubin G. There Are 42 Million Prostitutes In The World And Here's Where They Live. Dispoible en: http://www.businessinsider.com/there-are-42-million-prostitutes-in-the-world-and-heres-where-they-live-2012-1. Consultado 25 de Febrero 2016.","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2016","TimeDimensionBegin":"2016-01-01T00:00:00+01:00","TimeDimensionEnd":"2016-12-31T00:00:00+01:00"},{"Id":2138100,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"ATG","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2012,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"700","NumericValue":700.000000000,"Low":null,"High":null,"Comments":"Region: St. John's","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2012","TimeDimensionBegin":"2012-01-01T00:00:00+01:00","TimeDimensionEnd":"2012-12-31T00:00:00+01:00"},{"Id":4619219,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"NAM","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2019,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"4000","NumericValue":4000.000000000,"Low":null,"High":null,"Comments":"Region: Windhoek Walvis Bay/Swakopmund and Katima-Mulilo; Methods: RDS; Source: IBSS 2019","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":3147276,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"GTM","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2019,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"83 000","NumericValue":83000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Projected from the census and enumeration results from 2010; Source: Projected from the Estimaci\u00f3n del tama\u00f1o de poblaciones en mayor riesgo y vulnerabilidad al VIH: hombres que tienen sexo con hombres y trabajadoras sexuales en seis ciudades de Guatemala using the XII Censo Nacional de Poblaci\u00f3n y VII de Vivienda","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":1567211,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"TCD","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2018,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"19 500","NumericValue":19500.000000000,"Low":null,"High":null,"Comments":"Region: 11 villes; Method: Cartographie; Source: CARTOGRAPHIE ET DENOMBREMENT DES POINTS CHAUDS DE FREQUENTATION DES POPULATIONS CLES DANS  11 VILLES DU TCHAD","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2018","TimeDimensionBegin":"2018-01-01T00:00:00+01:00","TimeDimensionEnd":"2018-12-31T00:00:00+01:00"},{"Id":2093752,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"UKR","TimeDimType":"YEAR","ParentLocationCode":"EUR","ParentLocation":"Europe","Dim1Type":null,"Dim1":null,"TimeDim":2012,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"79 800","NumericValue":79800.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Multiplier","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2012","TimeDimensionBegin":"2012-01-01T00:00:00+01:00","TimeDimensionEnd":"2012-12-31T00:00:00+01:00"},{"Id":4663897,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"NIC","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2017,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"14 800","NumericValue":14800.000000000,"Low":null,"High":null,"Comments":"Region: 7 departments; Method: Programmatic mapping","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2017","TimeDimensionBegin":"2017-01-01T00:00:00+01:00","TimeDimensionEnd":"2017-12-31T00:00:00+01:00"},{"Id":6376044,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"PAK","TimeDimType":"YEAR","ParentLocationCode":"EMR","ParentLocation":"Eastern Mediterranean","Dim1Type":null,"Dim1":null,"TimeDim":2016,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"228 800","NumericValue":228800.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Mapping and extrapolation; Source: 2016 Key Population Size Estimation","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2016","TimeDimensionBegin":"2016-01-01T00:00:00+01:00","TimeDimensionEnd":"2016-12-31T00:00:00+01:00"},{"Id":8539967,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"WSM","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2016,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"400","NumericValue":400.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Mapping; Source: UNDP and UNSW Pacific Multi-country Behavioural Mapping Study 2016","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2016","TimeDimensionBegin":"2016-01-01T00:00:00+01:00","TimeDimensionEnd":"2016-12-31T00:00:00+01:00"},{"Id":9975058,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"CAF","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2014,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"800","NumericValue":800.000000000,"Low":null,"High":null,"Comments":"Region: Bangui B\u00e9goua Boali and Bimbo ; Source: Enqu\u00eate s\u00e9ro-comportementale aupr\u00e8s des professionnelles de sexe","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2014","TimeDimensionBegin":"2014-01-01T00:00:00+01:00","TimeDimensionEnd":"2014-12-31T00:00:00+01:00"},{"Id":4314876,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"BRA","TimeDimType":"YEAR","ParentLocationCode":"AMR","ParentLocation":"Americas","Dim1Type":null,"Dim1":null,"TimeDim":2013,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"1 401 600","NumericValue":1401600.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Household survey; Source: KAP study: PCAP 2013","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2013","TimeDimensionBegin":"2013-01-01T00:00:00+01:00","TimeDimensionEnd":"2013-12-31T00:00:00+01:00"},{"Id":4911067,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"CIV","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2016,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"10 900","NumericValue":10900.000000000,"Low":null,"High":null,"Comments":"Region: Abidjan Bouake and San Pedro","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2016","TimeDimensionBegin":"2016-01-01T00:00:00+01:00","TimeDimensionEnd":"2016-12-31T00:00:00+01:00"},{"Id":7131244,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"THA","TimeDimType":"YEAR","ParentLocationCode":"SEAR","ParentLocation":"South-East Asia","Dim1Type":null,"Dim1":null,"TimeDim":2016,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"144 000","NumericValue":144000.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Mapping and enumeration","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2016","TimeDimensionBegin":"2016-01-01T00:00:00+01:00","TimeDimensionEnd":"2016-12-31T00:00:00+01:00"},{"Id":1034188,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"MNG","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2019,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"6000","NumericValue":6000.000000000,"Low":null,"High":null,"Comments":"Region: Ulaanbaatar capital city Darkhan Dornod Khuvsgul; Method: 1) unique object multiplier; 2) service multiplier; 3) capture recapture and 4) successive sampling population size estimation (SS-PSE); Source: Population size estimation of Female Sex Workers and men who have sex with men in Mongolia 2019","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2019","TimeDimensionBegin":"2019-01-01T00:00:00+01:00","TimeDimensionEnd":"2019-12-31T00:00:00+01:00"},{"Id":7550275,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"GNB","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2016,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"3200","NumericValue":3200.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: % of female adult population","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2016","TimeDimensionBegin":"2016-01-01T00:00:00+01:00","TimeDimensionEnd":"2016-12-31T00:00:00+01:00"},{"Id":9615676,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"TGO","TimeDimType":"YEAR","ParentLocationCode":"AFR","ParentLocation":"Africa","Dim1Type":null,"Dim1":null,"TimeDim":2014,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"10 300","NumericValue":10300.000000000,"Low":null,"High":null,"Comments":"Region: National; Method: Wisdom of the masses and capture-recapture","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2014","TimeDimensionBegin":"2014-01-01T00:00:00+01:00","TimeDimensionEnd":"2014-12-31T00:00:00+01:00"},{"Id":3153934,"IndicatorCode":"SW_PSE_NUM","SpatialDimType":"COUNTRY","SpatialDim":"FJI","TimeDimType":"YEAR","ParentLocationCode":"WPR","ParentLocation":"Western Pacific","Dim1Type":null,"Dim1":null,"TimeDim":2012,"Dim2Type":null,"Dim2":null,"Dim3Type":null,"Dim3":null,"DataSourceDimType":"DATASOURCE","DataSourceDim":"DATASOURCE_GAM","Value":"500","NumericValue":500.000000000,"Low":null,"High":null,"Comments":"Region: Suva Nadi Lautoka Labasa and Savsavu","Date":"2025-03-20T10:50:26.277+01:00","TimeDimensionValue":"2012","TimeDimensionBegin":"2012-01-01T00:00:00+01:00","TimeDimensionEnd":"2012-12-31T00:00:00+01:00"}]}