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Datasets [210] | Archived Datasets[0] [?]
  • Updated 7 December 2021 | Dataset date: October 01, 2018-October 01, 2018
    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.
    1600+ Downloads
    This dataset updates: As needed
  • Updated 6 December 2021 | Dataset date: March 01, 2020-December 07, 2021
    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/
    34000+ Downloads
    This dataset updates: Every day
  • Updated 6 December 2021 | Dataset date: October 15, 2020-December 07, 2021
    This bucket contains FAIR COVID-19 US county level forecast data
    2600+ Downloads
    This dataset updates: Every week
  • Updated 4 December 2021 | Dataset date: May 01, 2020-May 01, 2020
    This dataset contains two APIs with daily COVID-19 Trends and Impact Survey data. The University of Maryland API is for accessing global survey data and CMU API is for accessing US survey data.
    900+ Downloads
    This dataset updates: As needed
  • Updated 25 November 2021 | Dataset date: May 20, 2019-May 20, 2019
    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).
    2000+ Downloads
    This dataset updates: As needed
  • Updated 23 November 2021 | Dataset date: May 20, 2019-May 20, 2019
    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.
    3200+ Downloads
    This dataset updates: As needed
  • Updated 23 November 2021 | Dataset date: May 20, 2019-May 20, 2019
    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.
    2000+ Downloads
    This dataset updates: As needed
  • Updated 18 November 2021 | Dataset date: September 21, 2020-September 21, 2020
    This data contains aggregated weighted statistics at the regional level by gender for the 2020 Survey on Gender Equality At Home as well as the country and regional level for the 2021 wave. The Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. Researchers and nonprofits interested in access to survey microdata can apply at: https://dataforgood.facebook.com/dfg/tools/survey-on-gender-equality-at-home
    2200+ Downloads
    This dataset updates: Every year
  • Updated 9 November 2021 | Dataset date: September 01, 2016-April 01, 2018
    More than 200 million businesses use Facebook. Facebook partners with various academic and international organizations to survey these businesses throughout the year to learn about their perspectives, challenges and opportunities. With more businesses leveraging online tools each day, these surveys provide a lens into a new mobilized and digital economy. The Future of Business Survey (FoBS) is a collaboration between Facebook, the OECD and the World Bank to provide timely insights on the perceptions, challenges, and outlook of online Small and Medium Enterprises or Businesses (SMEs/SMBs). The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. The Future of Business Survey was first launched as a monthly survey in 17 countries in February 2016 and expanded to 42 countries in 2018. In 2019, the Future of Business survey increased coverage to 97 countries and moved to a bi-annual cadence. In 2020, the Future of Business Survey shifted to do additional monthly waves with questions focused on business challenges related to COVID-19. Facebook also shares information from other SMB surveys, such as those that feed into the Global State of Small Business Reports, which are fielded to active Facebook Page Administrators and the general population of Facebook users. These surveys are conducted in approximately 30 countries across the globe and are also conducted on a roughly bi-annual basis. Survey questions for all surveys cover a range of topics depending on the survey wave such as business characteristics, challenges, financials and strategy in addition to custom modules related to regulation, gender inequity, access to finance, digital technologies, reduction in revenues, business closures, reduction of employees and challenges/needs of the business. Aggregated country level data is available to the public here for each wave and controlled access microdata is available to Data for Good partners. To request access to survey microdata or to see published Facebook reports, please visit: futureofbusinesssurvey.org Update for data users 10/4/21: Aggregate data in files [gsosb_2021julyaugust_data_aggregate_weighted.csv] and [gsosb_2021february_data_aggregate_weighted.csv] have been updated to provide weighted results and to correct an error found in those two files. These files were discovered to present results for large businesses rather than small and medium businesses and have been updated to provide the information for the latter group. Downloads of these two files that took place between April 1 and September 30 2021 were affected and analysis using downloads from this period may need to be amended. No analyses or reports published by Facebook were affected. Over the course of the next month, we are transitioning all small business survey datasets to have survey weights applied. Please contact dataforgood@fb.com for any questions or if you need access to unweighted data for your work.
    9600+ Downloads
    This dataset updates: As needed
  • Updated 28 October 2021 | Dataset date: May 20, 2019-May 20, 2019
    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).
    1500+ Downloads
    This dataset updates: As needed
  • Updated 27 October 2021 | Dataset date: May 20, 2019-May 20, 2019
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Uganda: (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).
    2200+ Downloads
    This dataset updates: As needed
  • Updated 25 October 2021 | Dataset date: June 19, 2019-June 19, 2019
    VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Bangladesh : (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).
    2700+ Downloads
    This dataset updates: As needed
  • Updated 22 October 2021 | Dataset date: June 10, 2019-June 10, 2019
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Colombia: (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).
    2000+ Downloads
    This dataset updates: As needed
  • Updated 21 October 2021 | Dataset date: June 19, 2019-June 19, 2019
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Papua New Guinea: (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).
    1300+ Downloads
    This dataset updates: As needed
  • Updated 19 October 2021 | Dataset date: October 13, 2021-October 13, 2021
    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.
    15000+ Downloads
    This dataset updates: As needed
  • Updated 13 October 2021 | Dataset date: June 19, 2019-June 19, 2019
    VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Indonesia: (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).
    3400+ Downloads
    This dataset updates: As needed
  • Updated 12 October 2021 | Dataset date: May 20, 2019-May 20, 2019
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Zambia: (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).
    1600+ Downloads
    This dataset updates: As needed
  • Updated 12 October 2021 | Dataset date: May 20, 2019-May 20, 2019
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Madagascar: (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).
    1600+ Downloads
    This dataset updates: As needed
  • Updated 31 August 2021 | Dataset date: March 24, 2021-March 24, 2021
    Facebook and Columbia University - CIESIN provide the High Resolution Settlement Layer as the world's most accurate population datasets. More info can be found here: https://dataforgood.fb.com/tools/population-density-maps/ These maps are the distribution of human population spanning Pakistan and India. Each of the 13 TIFF files is a 10 x 10 degree tile (the lower latitude coordinate and longitude coordinates are in the file name). A VRT file is also included.
    1000+ Downloads
    This dataset updates: As needed
  • Updated 25 August 2021 | Dataset date: May 20, 2019-May 20, 2019
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Namibia: (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).
    1400+ Downloads
    This dataset updates: As needed
  • Updated 7 August 2021 | Dataset date: May 20, 2019-May 20, 2019
    V1.5 The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Malawi: (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).
    800+ Downloads
    This dataset updates: As needed
  • Updated 7 August 2021 | Dataset date: May 20, 2019-May 20, 2019
    V1.5 The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Kenya: (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).
    1600+ Downloads
    This dataset updates: As needed
  • Updated 6 August 2021 | Dataset date: August 06, 2021-December 07, 2021
    VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Norway: (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).
    100+ Downloads
    This dataset updates: As needed
  • Updated 6 August 2021 | Dataset date: August 06, 2021-December 07, 2021
    VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Denmark: (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).
    100+ Downloads
    This dataset updates: As needed
  • Updated 4 August 2021 | Dataset date: August 01, 2020-December 07, 2021
    The COVID-19 preventative health survey is designed to help policymakers and health researchers better monitor and understand people’s knowledge, attitudes and practices about COVID-19 to improve communications and their response to the pandemic.
    300+ Downloads
    This dataset updates: As needed