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  • 900+ Downloads
    Updated 24 February 2021 | Dataset date: December 19, 2018-February 28, 2021
    This dataset updates: Every year
    Namibia administrative level 0 (country), 1 (region) and 2 (constituency) 2011 population statistics and gazetteer REFERENCE YEAR: 2011 The CSV files are suitable for database or GIS linkage to the Namibia administrative level 0-2 boundaries shapefiles.
  • 1800+ Downloads
    Updated 24 February 2021 | Dataset date: July 23, 2020-February 28, 2021
    This dataset updates: Every year
    Venezuela administrative level 0 (country); 1 (state / estado; Capital District / Distrito Capital; and the Federal Dependencies / Dependencias Federales); 2 (municpality / municipio), and 3 (parish / parroquia) population statistics and gazeteer REFERENCE YEAR: 2011 These population statistics tables are suitable for database or GIS linkage to the Venezuela (Bolivarian Republic of) - Subnational Administrative Boundaries.
  • 3700+ Downloads
    Updated 23 February 2021 | Dataset date: February 22, 2021-December 31, 2021
    This dataset updates: Every year
    Yemen Population estimates for 2021 The data contains population estimates for 2021. The projections are based on 2004 Census data. The population figures are dis-aggregated by governorate and district levels, both containing p-codes. The data is further dis-aggregated by sex and age groups. The data approved for use by the Humanitarian Country Team and used in Humanitarian Needs Overview (HNO) for Yemen in 2021. These tables are suitable for database or GIS linkage to the Yemen - Administrative Boundaries boundaries. Intersectoral People in Need 2021 For the 2021 Humanitarian Needs Overview, Yemen applied the enhanced HPC approach and the corresponding IASC Joint Inter-sector Analysis Framework (JIAF) global guidance. More details in the methodology of the HNO 2021 in the below link. https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf Cluster People in Need 2021 The data file contains people in need for 2021 per cluster. The data approved for use by the Humanitarian Country Team and it’s based on the Humanitarian Needs Overview for 2021 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. The full Humanitarian Needs Overview available in the below link: https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf
  • 100+ Downloads
    Updated 20 February 2021 | Dataset date: June 01, 2020-February 28, 2021
    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
  • 2900+ Downloads
    Updated 16 February 2021 | Dataset date: September 10, 2019-February 28, 2021
    This dataset updates: As needed
    Statistiques des populations : population désagrégée par âge et sexe pour toutes les zones de santé du pays.
  • 6000+ Downloads
    Updated 16 February 2021 | 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.
  • 300+ Downloads
    Updated 9 February 2021 | Dataset date: May 07, 2019-February 28, 2021
    This dataset updates: Every year
    Turks and Caicos administrative level 0 (country) and 1 (district) population statistics REFERENCE YEAR: 2019 The CSV tables are suitable for database or GIS linkage to the Turks and Caicos Islands administrative level 0 (nation) and 1 (district) boundaries boundaries.
  • Updated 27 January 2021 | Dataset date: November 16, 2020-February 28, 2021
    This dataset updates: As needed
    These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development (OPP1182408). Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation. Oliver Pannell (WorldPop) supported the generation of inputs for the application of the Random Forest (RF)-based dasymetric mapping approach developed by Stevens et al. (2015). The disaggregation was done by Maksym Bondarenko (WorldPop), using the Random Forests population modelling R scripts (Bondarenko et al., 2020), with oversight from Alessandro Sorichetta (WorldPop). Doug Leasure (WorldPop) prepared the mastergrid, tiles, and SQLite database. The sections-level administrative boundaries were provided by Jolynn Schmidt and Eniko Kelly-Voicu (CIESIN). The whole WorldPop group and GRID3 partners are acknowledged for overall project support. This dataset is jointly owned between University of Southampton and Statistics Sierra Leone. These data may be distributed using a Creative Commons Attribution 4.0 International (CC BY 4.0) license. For further details, please, read SLE_population_v1_0_README.pd Recommended citation WorldPop and Statistics Sierra Leone. 2020. Census disaggregated gridded population estimates for Sierra Leone (2015), version 1.0. University of Southampton. doi:10.5258/SOTON/WP00668
  • 10+ Downloads
    Updated 27 January 2021 | Dataset date: September 16, 2020-February 28, 2021
    This dataset updates: As needed
    This data release includes gridded population estimates (~100 m grid cells) with national coverage for Nigeria, along with estimates of the number of people belonging to individual age-sex groups. These population estimates represent the time period 2016 to 2017 corresponding to when the household surveys were conducted. Populations were mapped into areas where residential settlements were detected based on satellite imagery mostly from 2014. The data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom's Department for International Development (OPP1182408). Project partners included the United Nations Population Fund, Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation. Statistical modellingwas led by Doug Leasure and Chris Jochem with oversight from Andy Tatem. In-country implementation was led by Tracy Adole. Oak Ridge National Laboratories (ORNL), eHealth Africa, and the Bill and Melinda Gates Foundation collected microcensus data and produced the settlement map used as inputs for this work. The whole WorldPop group and GRID3 partners are acknowledged for overall project support. RELEASE CONTENT NGA_population_v1_2_gridded.zip NGA_population_v1_2_admin.zip NGA_population_v1_2_sql.sql NGA_population_v1_2_mastergrid.tif NGA_population_v1_2_tiles.zip NGA_population_v1_2_agesex.zip NGA_population_v1_2_methods.zip LICENSE These data (1-6) may be redistributed using a Creative Commons Attribution Share-Alike 4.0 License. The methods documentation (7) may be redistributed using a Creative Commons Attribution 4.0 License. Recommended citations WorldPop. 2019. Bottom-up gridded population estimates for Nigeria, version 1.2. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00655 WorldPop. 2020. Bottom-up gridded population estimates for individual age-sex groups in Nigeria, version 1.2.1. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00661 Leasure DR, Jochem WC, Weber EM, Seaman V, Tatem AJ. 2020. National population mapping from sparse survey data: A hierarchical Bayesian modeling framework to account for uncertainty. Proceedings of the National Academy of Sciences. doi:10.1073/pnas.1913050117 For further details, please, read NGA_population_v1_2_README.pdf
  • Updated 27 January 2021 | Dataset date: June 12, 2020-February 28, 2021
    This dataset updates: As needed
    These data were produced by the WorldPop Research Group at the University of Southampton. This work is part of the GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) project funded by the Bill and Melinda Gates Foundation (BMGF) and the United Kingdom Foreign, Commonwealth & Development Office (OPP1182425). Project partners include WorldPop at the University of Southampton, the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation. The modelling work was led by Gianluca Boo and Edith Darin with the support from Douglas R. Leasure and Claire A. Dooley. Coordination was provided by Heather R. Chamberlain and oversight by Andrew J. Tatem and Attila N. Lazar. The support of the whole WorldPop Research Group is acknowledged. The UCLA-DRC Health Research and Training Program, the Kinshasa School of Public Health (KSPH), and the Bureau Central du Recensement (BCR) coordinated and conducted the two microcensus rounds. The Oak Ridge National Laboratory contributed to the first round of microcensus. We acknowledge the contribution of the many individuals within these institutions. Recommended citation: Boo G, Darin E, Leasure DR, Dooley CA, Chamberlain HR, Lazar AN, Tatem AJ. 2020. Modelled gridded population estimates for the Kinshasa, Kongo-Central, Kwango, Kwilu, and Mai-Ndombe provinces in the Democratic Republic of the Congo, version 2.0. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00669
  • Updated 27 January 2021 | Dataset date: January 11, 2021-February 28, 2021
    This dataset updates: As needed
    These data were produced by the WorldPop Research Group at the University of Southampton. This work is part of the GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) project funded by the Bill and Melinda Gates Foundation (BMGF) and the United Kingdom Foreign, Commonwealth & Development Office (OPP1182425). Project partners include WorldPop at the University of Southampton, the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation. The Burkina Faso Institut National de la Statistique et de la Démographie supported, facilitated this work, reviewed the results and provided the census database. The modelling work, geospatial data processing, and stakeholder engagement was led by Edith Darin. Support for the statistical modelling was provided by Gianluca Boo, Claire A. Dooley, Douglas R. Leasure and Chris W. Jochem. Support for the engagement work and review of the methods was offered by Mathias Kuépié. Oversight was done by Andrew J. Tatem and Attila N. Lazar. Recommended citation: WorldPop and Institut National de la Statistique et de la Démographie du Burkina Faso. 2021. Census based gridded population estimates for Burkina Faso (2019), version 1.0. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00687
  • 5000+ Downloads
    Updated 27 January 2021 | Dataset date: September 01, 2015-September 01, 2015
    This dataset updates: Never
    This datasets contains a collection of pre-disaster indicators for the Philippines.
  • 1100+ Downloads
    Updated 21 January 2021 | Dataset date: June 03, 2019-June 03, 2019
    This dataset updates: As needed
    Pakistan administrative level 0 (country), 1 (province, federal capital territory, autonomous and disputed territory, or group of federally administered tribal areas), 2 (district), and 3 (tehsil) 2017 population statistics These tables are suitable for database or GIS linkage to the Pakistan administrative level 0, 1, 2, and 3 boundary polygons, lines, and central places boundaries.
  • 60+ Downloads
    Updated 20 January 2021 | Dataset date: January 01, 2021-February 28, 2021
    This dataset updates: Every year
    Dataset contains Sudan baseline data -population,IDPs,Refugees,GAM,IPC- and the overall number of people in need(PIN ) and by sector down to admin 2 level.
  • 800+ Downloads
    Updated 15 January 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 Angola: (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).
  • 400+ Downloads
    Updated 12 January 2021 | Dataset date: January 01, 2011-June 30, 2020
    This dataset updates: Every six months
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across almost 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
  • 200+ Downloads
    Updated 12 January 2021 | Dataset date: January 01, 2011-June 30, 2020
    This dataset updates: Every six months
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across almost 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
  • 200+ Downloads
    Updated 12 January 2021 | Dataset date: January 01, 2011-June 30, 2020
    This dataset updates: Every six months
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across almost 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
  • 500+ Downloads
    Updated 12 January 2021 | Dataset date: January 01, 2011-June 30, 2020
    This dataset updates: Every six months
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across almost 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
  • 200+ Downloads
    Updated 12 January 2021 | Dataset date: January 01, 2011-June 30, 2020
    This dataset updates: Every six months
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across almost 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
  • 200+ Downloads
    Updated 12 January 2021 | Dataset date: January 01, 2011-June 30, 2020
    This dataset updates: Every six months
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across almost 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
  • 200+ Downloads
    Updated 12 January 2021 | Dataset date: January 01, 2011-June 30, 2020
    This dataset updates: Every six months
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across almost 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
  • 100+ Downloads
    Updated 12 January 2021 | Dataset date: January 01, 2009-June 30, 2020
    This dataset updates: Every six months
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across almost 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
  • 200+ Downloads
    Updated 12 January 2021 | Dataset date: January 01, 2011-June 30, 2020
    This dataset updates: Every six months
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across almost 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
  • 100+ Downloads
    Updated 12 January 2021 | Dataset date: January 01, 2011-June 30, 2020
    This dataset updates: Every six months
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across almost 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).