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  • 6800+ Downloads
    Updated 27 January 2022 | Dataset date: August 04, 2019-August 04, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Ethiopia : (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
  • 1500+ Downloads
    Updated 25 January 2022 | Dataset date: May 20, 2019-May 20, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Algeria: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
  • 500+ Downloads
    Updated 20 January 2022 | Dataset date: July 22, 2021-January 27, 2022
    This dataset updates: Every year
    Sao Tome and Principe administrative level 0-2 sex and age disaggregated 2021 projected population statistics REFERENCE YEAR: 2021 These tables are suitable for database or GIS linkage to the Sao Tome and Principe - Subnational Administrative Boundaries.
  • 6600+ Downloads
    Updated 20 January 2022 | Dataset date: January 01, 1960-December 31, 2019
    This dataset updates: As needed
    World Bank Indicators of Interest to the COVID-19 Outbreak. This link is to a collection in the World Bank data catalog that contains datasets that may be useful for analysis, response or modelling.
  • 70+ Downloads
    Updated 17 January 2022 | Dataset date: May 27, 2020-May 27, 2020
    This dataset updates: As needed
    Indicadores del Índice de Calidad del Agua de Colombia. Alcanilidad Total Aluminio Arsénico Cadmio Calcio Cianuro libre y diasociable Cloro residual libre Cloruros Cobre Coliformes totales Color aparente Conductividad COT Cromo total Dureza total E.coli Fluoruros Fosfatos Hierro total Magnesio Manganeso Mercurio Mesófilos Niquel Nitratos Nitritos Olor Organofosforados y carbamatos ph Plomo Sabor Sulfatos Turbiedad Zinc
  • 70+ Downloads
    Updated 17 January 2022 | Dataset date: December 31, 2018-December 31, 2018
    This dataset updates: Never
    Indicadores WASH de la población extranjera en Colombia por municipio según el Censo Nacional de Población y Vivienda de 2018
  • Updated 13 January 2022 | Dataset date: July 21, 2021-January 27, 2022
    This dataset updates: As needed
    These data consist of modelled gridded population estimates produced at a spatial resolution of approximately 100m across the Haut-Katanga, Haut-Lomami, Ituri, Kasaï, Kasaï-Oriental, Lomami and Sud-Kivu provinces in the Democratic Republic of the Congo (DRC). The estimates comprise total population counts created using a Bayesian statistical model and post-hoc breakdowns in 40 age and sex groups. The main input data were derived from a dedicated microcensus survey carried out in the targeted provinces throughout March and April 2021. The microcensus was led by the Flowminder Foundation, the École de Santé Publique de Kinshasa, the WorldPop Research Group at the University of Southampton and the Bureau Central du Recensement, which is part of the Institut National de la Statistique of the DRC. Other essential input data include metrics derived from building footprints, which were automatically delineated by Ecopia.AI in 2021 using satellite imagery collected by Maxar Technologies between 2010 and 2021. The modelled population estimates represent the period of the microcensus but their consistency may be impacted by the accuracy of the building footprints, particularly in the areas where the satellite imagery used for automatic delineation was outdated. These data were produced by the WorldPop Research Group at the University of Southampton as part of the GRID3 Mapping for Health Project. This project was delivered under the leadership of the Ministry of Public Health, Hygiene and Prevention of the DRC and funded by Gavi, the Vaccine Alliance (RM 867204 20A2). The project was led by the Flowminder Foundation and the Center for International Earth Science Information Network (CIESIN) at Columbia University, in collaboration with the WorldPop Research Group at the University of Southampton and national partners including, but not limited to, the École de Santé Publique de Kinshasa and both the Bureau Central du Recensement and the Institut National de la Statistique. This work was a continuation of the GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) programme funded by the Bill and Melinda Gates Foundation (BMGF) and the United Kingdom’s Foreign, Commonwealth & Development Office (INV 009579, formerly OPP 1182425). The study was approved by the Faculty Ethics Committee of the University of Southampton (ERGO II 62716). The production of these data was led by Gianluca Boo (WorldPop](https://www.worldpop.org/) ) with support from Roland Hosner (Flowminder Foundation), Pierre Z Akilimali (École de Santé Publique de Kinshasa), Edith Darin (WorldPop), Heather R Chamberlain (WorldPop), Warren C Jochem (WorldPop), Patricia Jones (WorldPop), Roger Shulungu Runika (Institut National de la Statistique), Henri Marie Kazadi Mutombo (Bureau Central du Recensement), Attila N Lazar (WorldPop) and Andrew J Tatem (WorldPop). The authors acknowledge the support of their respective institutions in the completion of this work. Recommended citation: G Boo, R Hosner, PZ Akilimali, E Darin, HR Chamberlain, WC Jochem, P Jones, R Shulungu Runika, HM Kazadi Mutombo, AN Lazar and AJ Tatem. 2021. Modelled gridded population estimates for the HautKatanga, Haut-Lomami, Ituri, Kasaï, Kasaï-Oriental, Lomami and Sud-Kivu provinces in the Democratic Republic of the Congo (2021), version 3.0. WorldPop, University of Southampton, Flowminder Foundation, École de Santé Publique de Kinshasa, Bureau Central du Recensement and Institut National de la Statistique. doi:10.5258/SOTON/WP00720
  • 1700+ Downloads
    Updated 12 January 2022 | Dataset date: January 05, 2022-January 27, 2022
    This dataset updates: Every year
    South Sudan administrative level 0-2 2022 population estimates. REFERENCE YEAR: 2022 Dataset updated by OCHA 2020. This population statistics Common Operational Database (COD-PS) was endorsed the Government and South Sudan National Bureau of Statistics in November 2020. These tables are suitable for database or GIS link to the South Sudan - Subnational Administrative Boundaries.
  • 1000+ Downloads
    Updated 11 January 2022 | Dataset date: June 01, 2020-January 27, 2022
    This dataset updates: Every month
    This study includes information on the population of all cities and towns outside the control of the Regime in Syria. The study is updated monthly, in that IMU enumerators of ACU track the population in all areas outside the control of the regime, along with movements of displacement and return on a permanent basis. This study also presents the total number of population and gender ratio, the total number of IDPs and the types of shelters in which they are settled, the number of newly displaced people during the last month and the types of shelters in which they are settled, the number of those who left and the reasons that forced them to leave their home towns, the number of returnees during the last month with their most critical needs. The Study presents information on the situation of the local councils in areas to which the residents returned during the past month, availability of basic services in areas of return, evaluation of these services, decision-makers and primary service providers, and sources of income for returnees. The study data can be shown at different levels through the filter bar at the top of the page; it is also possible to display the graphic figures at three levels (district - sub-district - community) through the buttons at the bottom of the figures. Maps can be shown at two levels (district - sub-district) through the two buttons at the bottom of the map. Data can be downloaded from the last page of the study. For more details, please contact us through IMU email address: imu@acu-sy.org
  • 4500+ Downloads
    Updated 5 January 2022 | Dataset date: January 05, 2022-January 27, 2022
    This dataset updates: Every year
    Ethiopia administrative level 0-3 sex and age disaggregated projected 2022 population statistics. REFERENCE YEAR: 2022 These tables are suitable for database or GIS linkage to the Ethiopia - Subnational Administrative Boundaries.
  • 700+ Downloads
    Updated 31 December 2021 | Dataset date: November 15, 2018-December 31, 2021
    This dataset updates: Every year
    Population Estimates in Yemen, 2021 and 2019.
  • Updated 30 December 2021 | Dataset date: August 31, 2021-August 31, 2021
    This data is by request only
    This dataset contains information on the total population in the Syrian Arab Republic, disaggregated by sex and age, as well as administrate levels 1 through 4.
  • 3000+ Downloads
    Updated 29 December 2021 | Dataset date: September 30, 2021-January 27, 2022
    This dataset updates: Every year
    Niger administrative level 0-3 sex disaggregated 2022 population statistics These CSV tables are suitable for database or GIS linkage to the Niger administrative level 0, 1, 2, and 3 boundary polygons.
  • 300+ Downloads
    Updated 22 December 2021 | Dataset date: August 28, 2021-August 28, 2021
    This dataset updates: Every year
    The dataset contains data on the total population in Libya aggregated by mantika (admin level 2) and baladiya (admin level 3).
  • 200+ Downloads
    Updated 16 December 2021 | Dataset date: January 01, 2021-December 31, 2022
    This dataset updates: Every year
    Ukraine estimated baseline population data (residents and IDPs) in Donetska and Luhanska oblasts used in 2022 HNO with SAAD disaggregation at adm1, GCA/NGCA and zone (distance from contact line) level. Estimation is based on 2001 census.
  • 10+ Downloads
    Updated 16 December 2021 | Dataset date: November 17, 2021-January 27, 2022
    This dataset updates: As needed
    This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100 m grid cells) with national coverage for Nigeria, along with estimates of the number of people belonging to various age-sex groups. Version 2.0 is an update to the previous version 1.2 gridded population estimates and is based on more recent and detailed settlement information and a different regional boundary definition. These model-based population estimates most likely represent the time period around 2019, corresponding to the period when the satellite imagery was processed to generate building footprints. Populations are mapped only into areas where residential settlements are predicted. These data were produced by the WorldPop Research Group at the University of Southampton in collaboration with the National Population Commission of Nigeria. This work was part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3 ) programme with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Foreign, Commonwealth & Development Office (INV 009579, formerly OPP 1182425). Project partners included the United Nations Population Fund, Center for International Earth Science Information Network (CIESIN), a center within the Columbia Climate School at Columbia University, and the Flowminder Foundation. Statistical modelling was led by Chris Jochem and Doug Leasure additional support and oversight from Attila Lazar and Andy Tatem. Chris Lloyd provided the residential building classification. The microcensus data were originally collected by eHealth Africa and Oak Ridge National Laboratory with support from the Bill and Melinda Gates Foundation. The WorldPop grou and GRID3 partners are acknowledged for their project support. RELEASE CONTENT NGA_population_v2_0_gridded.zip NGA_population_v2_0_admin.zip NGA_population_v2_0_sql.sql NGA_population_v2_0_mastergrid.tif NGA_population_v2_0_tiles.zip NGA_population_v2_0_agesex.zip LICENSE These data (1-6) may be redistributed using a Creative Commons Attribution 4.0 International (CC BY 4.0) License. Recommended citations WorldPop and National Population Commission of Nigeria. 2021. Bottom-up gridded population estimates for Nigeria, version 2.0. WorldPop, University of Southampton. doi: 10.5258/SOTON/WP00729. For further details, please, read NGA_population_v2_0_README.pdf
  • 1700+ Downloads
    Updated 14 December 2021 | Dataset date: March 28, 2018-March 28, 2018
    This dataset updates: Every year
    Gambia administrative level 0 (country), 1 (local government area) 2021 population statistics REFERENCE YEAR: 2021
  • 1600+ Downloads
    Updated 10 December 2021 | Dataset date: July 29, 2020-July 29, 2020
    This dataset updates: Every year
    Colombia administrative level 0 (country), 1 (department), 2 (municipality) 2020 projected population statistics REFERENCE YEAR: 2020 This dataset was updated on 29 July 2020 to include fully integrated sex and age disaggregated data. These tables are suitable for database or GIS linkage to the Colombia administrative level 0 - 2 boundaries.
  • 1800+ Downloads
    Updated 7 December 2021 | Dataset date: October 01, 2018-October 01, 2018
    This dataset updates: As needed
    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information. There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
  • 5300+ Downloads
    Updated 7 December 2021 | Dataset date: August 14, 2019-November 16, 2021
    This dataset updates: Every year
    The United Nations Population Fund (UNFPA) partnered with donors and UN agencies and took up the lead role to support the Somali authorities in undertaking the Population Estimation Survey (PESS) for Somalia in October 2013- March 2014. REFERENCE YEAR: 2014 UNFPA investigated replacement or projection of this dataset in 2021. Only ADM0 (national) data was available. No better alternative is currently available. PESS gathered basic critical information on the Somalis living in urban, rural and nomadic areas (interviewed at water points during the peak of the long, dry season), and in settlements for internally displaced persons. One standard questionnaire was used in selected enumeration areas or pre-identified areas. Data was collected in three main phases: cartographic field mapping, household listing in the sampled areas, and the interviewing of households using the standard questionnaire. PESS report by UNFPA had only the population estimate at regional level (Admin level 1). With the demand to get this data disaggregated to district level to enhance assessment and in particular assessments of people in food insecure by FAO-FSNAU, the district data was interpolated using FSNAU livelihood information embedded in the 2005 UNDP district level population data
  • 200+ Downloads
    Updated 3 December 2021 | Dataset date: January 01, 2015-December 31, 2030
    This dataset updates: As needed
    Population Projections by sex and age at the municipal level for this department: 2015-2030. Produced by the National Statistical Office with the support of ECLAC and UNFPA. https://www.ine.gob.gt/ine/proyecciones/
  • 2200+ Downloads
    Updated 25 November 2021 | Dataset date: May 20, 2019-May 20, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in the Democratic Republic of Congo: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
  • 5800+ Downloads
    Updated 23 November 2021 | Dataset date: May 20, 2019-May 20, 2019
    This dataset updates: As needed
    VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Nigeria: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49). There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
  • 2200+ Downloads
    Updated 23 November 2021 | Dataset date: May 20, 2019-May 20, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Ghana: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49). There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
  • 50+ Downloads
    Updated 23 November 2021 | Dataset date: November 23, 2021-January 27, 2022
    This dataset updates: As needed
    Governorate level (Admin1) population projections for the year 2021; national level (Admin0) projections for 2015 to 2030, including area, age and sex disaggregation.