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  • 9000+ Downloads
    Updated 29 June 2020 | Dataset date: January 01, 2000-December 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. A description of the modelling methods used for age and sex structures can be found in Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here. Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020. The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646
  • 415000+ Downloads
    Updated Live | Dataset date: January 22, 2020-October 02, 2022
    This dataset updates: Live
    Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv
  • 32000+ Downloads
    Updated 24 December 2021 | Dataset date: February 09, 2018-October 03, 2022
    This dataset updates: Every year
    Philippines administrative levels: (0) Country (1) Region (Filipino: rehiyon) (2) Provinces (Filipino: lalawigan, probinsiya) and independent cities (Filipino: lungsod, siyudad/ciudad, dakbayan, lakanbalen) (3) Municipalities (Filipino: bayan, balen, bungto, banwa, ili) and component cities (Filipino: lungsod, siyudad/ciudad, dakbayan, dakbanwa, lakanbalen) The original datasets were derived from the boundaries of the Barangays as observed at the end of April 2016 as per the Philippine Geographic Standard Code (PSGC) dataset. It has been generated on the basis of the layer created by the Philippine Statistics Authority (PSA) in the context of the 2015 population census. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. OCHA acknowledges PSA and the National Mapping and Resource Information Authority (NAMRIA) as the sources. LMB is the source of official administrative boundaries of the Philippines. In the absence of available official administrative boundary, the IMTWG have agreed to clean and use the PSA administrative boundaries which are used to facilitate data collection of surveys and censuses. The dataset can only be considered as indicative boundaries and not official. For administrative level 4 (Barangay) please contact the contributor (OCHA Philippines) via the 'Contact the contributor' button near the top of this page. These shapefiles are suitable for database or ArcGIS joins to the Philippines - Subnational Population Statistics.
  • 40000+ Downloads
    Updated 27 January 2022 | Dataset date: August 17, 2017-October 03, 2022
    This dataset updates: Every year
    Thailand administrative level 0 (country), 1 (province), 2 (district), and 3 (sub-district, tambon) boundaries Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. The administrative level 0 and 1 shapefiles and geodatabase features are suitable for database or GIS linkage to the Thailand - Subnational Population Statistics tables. 6 November 2019 update: Table with feature areas added
  • 19000+ Downloads
    Updated 21 September 2022 | Dataset date: September 02, 2022-October 03, 2022
    This dataset updates: Every year
    Pakistan administrative level 0-3 boundaries and gazetteer UPDATED 2022_09_14 Vetting and configuration by Information Technology Outreach Services (ITOS) with funding from USAID. Note: these boundaries and P-codes are not compatible with the Pakistan COD-PS. Special lines layer 'admLevel' encoding: admLevel 0: Normal international boundary. admLevel 1: Normal administrative level 1 boundary, excluding those coded '86'. admLevel 2: Administrative level 2 boundary. admLevel 3: Administrative level 3 boundary. admLevel 86: Special boundary between administrative level 1 features "Khyber Pakhtunkhwa" [PK5] and "Punjab" [PK6] to west and "Gilgit Baltistan" [PK3] and "Azad Kashmir" [PK1] to east. This boundary may need to be symbolized differently in some mapping contexts. admLevel 87: Line of control. admLevel 99: Shoreline.
  • 14000+ Downloads
    Updated 1 August 2022 | Dataset date: August 01, 2022-August 01, 2022
    This dataset updates: As needed
    These datasets provide measures of Social Capital for counties, ZIP codes, high schools, and colleges in the United States based on data from Facebook. The Social Capital Atlas dataset is the result of a collaboration between Meta, Opportunity Insights, and researchers from Harvard, New York University, and Stanford. We use methods from the differential privacy literature to add noise to these aggregate statistics to protect privacy while maintaining a high level of statistical reliability. See the accompanying README.pdf and papers published in Nature for more details on data construction, methods, and results. We construct three measures of social capital: Connectedness - The extent to which people with different characteristics are friends with each other. This includes our main economic connectedness measure. Cohesiveness - The degree to which friendship networks are clustered into cliques and whether friendships tend to be supported by mutual friends. This includes our clustering and support ratio measures. Civic Engagement - Indices of trust or participation in civic organizations. This includes our volunteering rate measure. A visualization of this data is available here: www.socialcapital.org Research publications for the Social Capital Atlas dataset are available here: Social Capital I: Measurement and Associations with Economic Mobility Social Capital II: Determinants of Economic Connectedness Any researcher using the data should reference/cite the following papers: Chetty, Raj, Matthew O. Jackson, Theresa Kuchler, Johannes Stroebel, Nathaniel Hendren, Robert Fluegge, Sara Gong, Federico Gonzalez, Armelle Grondin, Matthew Jacob, Drew Johnston, Martin Koenen, Eduardo Laguna-Muggenberg, Florian Mudekereza, Tom Rutter, Nicolaj Thor, Wilbur Townsend, Ruby Zhang, Mike Bailey, Pablo Barber ́a, Monica Bhole, and Nils Wernerfelt (2022a). “Social Capital I: Measurement and Associations with Economic Mobility.” Nature 608 (7921): 108-121, 2022. Download Citation here: https://citation-needed.springer.com/v2/references/10.1038/s41586-022-04996-4?format=refman&flavour=citation Chetty, Raj, Matthew O. Jackson, Theresa Kuchler, Johannes Stroebel, Nathaniel Hendren, Robert Fluegge, Sara Gong, Federico Gonzalez, Armelle Grondin, Matthew Jacob, Drew Johnston, Martin Koenen, Eduardo Laguna-Muggenberg, Florian Mudekereza, Tom Rutter, Nicolaj Thor, Wilbur Townsend, Ruby Zhang, Mike Bailey, Pablo Barber ́a, Monica Bhole, and Nils Wernerfelt (2022b). “Social Capital II: Determinants of Economic Connectedness.” Nature 608 (7921): 122-134, 2022. Download Citation here: https://citation-needed.springer.com/v2/references/10.1038/s41586-022-04997-3?format=refman&flavour=citation
  • 19000+ Downloads
    Updated Live | Dataset date: January 08, 2020-October 02, 2022
    This dataset updates: Live
    Coronavirus COVID-19 daily new and cumulative cases and deaths by country.
  • 9100+ Downloads
    Updated 12 November 2020 | Dataset date: December 27, 2018-October 03, 2022
    This dataset updates: Every year
    South Africa administrative levels 0 (country), 1 (province), 2 (district), and 3 (local municipality) boundaries polygon and line shapefiles, EMF files, and geodatabase, and gazetteer. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. These shapefiles are suitable for database or GIS linkage to the South Africa - Subnational Population Statistics CSV tables.
  • 13000+ Downloads
    Updated 16 December 2021 | Dataset date: October 13, 2020-October 03, 2022
    This dataset updates: Every year
    These boundaries are suitable for database or GIS linkage to the Ethiopia - Subnational Population Statistics tables using the ADM0, ADM1, ADM2, and ADM3_PCODE fields. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. NOTE these resources reflect the creation of the 'South West Ethiopia' region on 23 November 2021. EMF files are currently unavailable. See caveats for minor issues.
  • 12000+ Downloads
    Updated 16 December 2021 | Dataset date: March 02, 2020-October 03, 2022
    This dataset updates: Every day
    This dataset contains the number of confirmed cases, recoveries and deaths by province due to the Coronavirus pandemic in Indonesia.
  • 20000+ Downloads
    Updated 15 December 2021 | Dataset date: October 13, 2021-October 13, 2021
    This dataset updates: As needed
    We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook. Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.fb.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259). Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.
  • 3500+ Downloads
    Updated 13 September 2022 | Dataset date: January 18, 2022-October 03, 2022
    This dataset updates: Every year
    Ukraine administrative level 0-4 boundaries. See caveats. The administrative level 0 and 1 layers are suitable for database or GIS linkage to the Ukraine - Subnational Population Statistics tables.
  • 1000+ Downloads
    Updated 16 March 2022 | Dataset date: March 02, 2022-October 03, 2022
    This dataset updates: Every day
    Information is compiled from a variety of sources. While every effort has been made to ensure that all statistical information is verified, figures on some arrivals represent an estimate. Triangulation of information and sources is performed on a continuous basis. Therefore, amendments in figures may occur, including retroactively.
  • 10000+ Downloads
    Updated 15 March 2022 | Dataset date: January 01, 2022-December 31, 2022
    This dataset updates: Every year
    Türkiye - Administrative Boundaries (Levels 0, 1, 2 Included Admin 1 and 2 central points.
  • 4000+ Downloads
    Updated 2 October 2022 | Dataset date: January 15, 2000-March 15, 2022
    This dataset updates: Every week
    This dataset contains Food Prices data for Philippines, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 18000+ Downloads
    Updated 22 April 2020 | Dataset date: February 23, 2017-October 03, 2022
    This dataset updates: As needed
    The dataset represents the Common Operational Data (COD) for administrative boundaries of Nigeria. Each administrative unit contains the p-code and name. Admin COD datasets (Admin 0 – 2) for Nigeria are endorsed by the Office of the Surveyor General of the Federal Republic of Nigeria (OSGOF) and the IMWG Feb 2017. See metadata for description of methodology for admin level 3 and the cleaning and processing performed by ITOS. Levels 0 - 3 are polygonal administrative units, Level 3 only covers Adamawa, Borno and Yobe States and are for operational purposes only. A senatorial district shapefile is also included. Senatorial districts respect administrative level 1 (state) but are not reflected in the gazetteer, geodatabase, or live services. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. The administrative level 0-2 and senatorial district boundaries are suitable for database or GIS linkage to the Nigeria - Subnational Population Statistics tables. A topojson generalized version of administrative level 3 is also provided. REVISION HISTORY 14 February 2020: Topojson generalized administrative level 3 resource added
  • 19000+ Downloads
    Updated 11 February 2022 | Dataset date: April 01, 2021-October 03, 2022
    This dataset updates: As needed
    The Relative Wealth Index predicts the relative standard of living within countries using de-identified connectivity data, satellite imagery and other nontraditional data sources. The data is provided for 93 low and middle-income countries at 2.4km resolution. Please cite / attribute any use of this dataset using the following: Microestimates of wealth for all low- and middle-income countries Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock Proceedings of the National Academy of Sciences Jan 2022, 119 (3) e2113658119; DOI: 10.1073/pnas.2113658119 More details are available here: https://dataforgood.fb.com/tools/relative-wealth-index/ Research publication for the Relative Wealth Index is available here: https://www.pnas.org/content/119/3/e2113658119 Press coverage of the release of the Relative Wealth Index here: https://www.fastcompany.com/90625436/these-new-poverty-maps-could-reshape-how-we-deliver-humanitarian-aid An interactive map of the Relative Wealth Index is available here: http://beta.povertymaps.net/
  • 14000+ Downloads
    Updated 15 September 2022 | Dataset date: January 01, 1961-December 31, 2019
    This dataset updates: Every month
    Contains data from World Health Organization's data portal covering the following categories: Mortality and global health estimates, Sustainable development goals, Millennium Development Goals (MDGs), Health systems, Malaria, Tuberculosis, Child health, Infectious diseases, Neglected Tropical Diseases, World Health Statistics, Health financing, Tobacco, Substance use and mental health, Injuries and violence, HIV/AIDS and other STIs, Public health and environment, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, Health inequality monitor, Health Equity Monitor, Child malnutrition, TOBACCO, Neglected tropical diseases, International Health Regulations (2005) monitoring framework, 0, Insecticide resistance, Oral health, Universal Health Coverage, Global Observatory for eHealth (GOe), RSUD: GOVERNANCE, POLICY AND FINANCING : PREVENTION, RSUD: GOVERNANCE, POLICY AND FINANCING: TREATMENT, RSUD: GOVERNANCE, POLICY AND FINANCING: FINANCING, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT SECTORS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT CAPACITY AND TREATMENT COVERAGE, RSUD: SERVICE ORGANIZATION AND DELIVERY: PHARMACOLOGICAL TREATMENT, RSUD: SERVICE ORGANIZATION AND DELIVERY: SCREENING AND BRIEF INTERVENTIONS, RSUD: SERVICE ORGANIZATION AND DELIVERY: PREVENTION PROGRAMS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: SPECIAL PROGRAMMES AND SERVICES, RSUD: HUMAN RESOURCES, RSUD: INFORMATION SYSTEMS, RSUD: YOUTH, FINANCIAL PROTECTION, AMR GLASS, Noncommunicable diseases and mental health, Health workforce, AMR GASP, ICD, SEXUAL AND REPRODUCTIVE HEALTH, Immunization, NLIS For links to individual indicator metadata, see resource descriptions.
  • 26000+ Downloads
    Updated 23 September 2022 | Dataset date: January 15, 2021-January 15, 2021
    This dataset updates: Every year
    Syria Administrative boundaries for levels 0 - 4, with Arabic Names, English Names, and p-codes. Geodatabase maintains Arabic names better than shapefile Note that Admin 4 is the populated places layer. Admin Level 1= Governorate = Mohafaza Admin Level 2 = District = Mantika Admin Level 3 = Sub-district= Nahya Populated places (also known as "Admin Level 4") = City or Village Dataset organization: Administrative boundary resources (shapefiles, geodatabases. and gazetteer) are separate from the populated places shapefiles resources except the live geoservices, which provide both administrative boundaries and populated places. Most Recent Changes: 15 January 2021 ITOS geoservices, shapefile, and geodatabase for populated places ("administrative level 4") added. 12 January 2021 ITOS geoservices, shapefiles, and geodatabase added. EMF files added. ITOS gazetteer added. 18-August-2020 added 327 Communities. 21-March-2019 added 14 Communities. 19-Dec-2018 Use the Neighborhood as point loaded in the same layer/ Excel file called as a humanitarian Location added 11 Communities. 01-July-2018 added 1528 Communities and some localities moved to their accurate locations 31-Jan-2018- added 91 populated places and areas, some localities moved to their accurate locations, essential change in the admin boundary in Tartous Governorate at Admin 2 and Admin 3 1-June-2017- added 24 populated places and areas 22-Feb-2017- added three populated places and fixed some typos in admin4 and neighborhoods 04-Oct-2016 - Added two populated places 20-Sept-2016 - Built-up polygonal layer was created so that for each populated place there is a corresponding built-up poplygon; Added populated places based on feedback from humanitarian partners ; Neighborhood layer now includes 11 main cities with new p-codes ; column names follow global standard; reference names are unique both in English and Arabic 12-Jan-2014 - Shape file version posted. UTF-8 has been used to enable the correct display of Arabic characters. 19-May-2013 - New features added to Admin4 ; English Names edited to be consistent in all Admin levels; locations of few communities adjusted 07-Jan-2013 - Column with Capitals of Administrative Units (1 - 3) added to Populated Places (Admin 4). No changes. 19-Dec-2012 - Minor change: erroneous Admin 1 p-code for the populated place Arab Elmalik Jerkes (p-code = C3571) corrected (from SY010 to SY10). 12-Dec-2012 - Added neighborhoods , currently Damascus only. Added "C" as leading character of pcodes at level 4 (populated places) to ensure uniqueness. The digits remain the same from earlier versions. 24-Sep-2012 - Consolidated spelling between all 4 levels for all admin levels. Pcodes added. 24-Aug-2012 - Shapefile versions added. Exported from the geodatabase version of 30-June-2011. 30-Jun-2012 - Topology cleaned, underscores removed from admin names. Languages: EN AR
  • 48000+ Downloads
    Updated 31 May 2022 | Dataset date: March 01, 2020-May 22, 2022
    This dataset updates: As needed
    NOTE: We plan to no longer update this dataset after May 22 2022. These data sets are intended to inform researchers and public health experts about how populations are responding to physical distancing measures. In particular, there are two metrics, Change in Movement and Stay Put, that provide a slightly different perspective on movement trends. Change in Movement looks at how much people are moving around and compares it with a baseline period that predates most social distancing measures, while Stay Put looks at the fraction of the population that appear to stay within a small area during an entire day. Full details, including the privacy protections in this data, are available here: https://research.fb.com/blog/2020/06/protecting-privacy-in-facebook-mobility-data-during-the-covid-19-response/
  • 200+ Downloads
    Updated 29 December 2021 | Dataset date: April 01, 2019-April 01, 2019
    This dataset updates: Every year
    Nearly 7 of 10 Somalis live in poverty, making Somalia one of the poorest countries in Sub-saharan Africa. About 69 percent of the population lived in poverty in 2017. Somalia has the sixth highest poverty rate in the region, only after the Democratic Republic of Congo, Central African Republic, Madagascar, Burundi and South Sudan. Poverty incidence is lower in other urban areas, excluding Mogadishu, compared to nomadic households, IDPs in settlements, and those in rural areas and Mogadishu. Nearly half of the population is not even able to meet the average consumption of food items, confirming the dire living standards of most Somalis.
  • 8000+ Downloads
    Updated 30 September 2021 | Dataset date: June 06, 2014-October 03, 2022
    This dataset updates: Every year
    Summary: Somalia Regional Boundaries - Polygon - SHP Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. Abstract: Somalia has 2 levels of administrative Boundaries CODs: Admin level 1 = Region; Admin Level 2 = District. There are multiple pcode formats in this shapefile (Region_AdminLevel1),REG_CODE is used by humanitarian partners in Somalia and was developed by the United National Development Programme (1998).HRpcodes are duplicates of REG_CODE and can be used to link to products derived from HR.info such as the assessment registry. Regional-boundaries_polygon is the earlier registered dataset. Instructions: Unzip
  • 4800+ Downloads
    Updated Live | Dataset date: December 16, 2020-October 01, 2022
    This dataset updates: Live
    The map and chart below show the number of COVID-19 vaccination doses administered per 100 people within a given population. Note that this does not measure the total number of people that have been vaccinated (which is usually two doses).
  • 13000+ Downloads
    Updated 22 August 2021 | Dataset date: January 01, 1990-August 15, 2021
    This dataset updates: Never
    This no longer updated dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 4700+ Downloads
    Updated 7 January 2022 | Dataset date: October 15, 2020-October 03, 2022
    This dataset updates: Every week
    This bucket contains FAIR COVID-19 US county level forecast data