Data for Good at Meta

Member since 13 March 2019
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  • 1600+ Downloads
    Time Period of the Dataset [?]: May 20, 2019-August 09, 2022 ... More
    Modified [?]: 9 August 2022
    Dataset Added on HDX [?]: 18 April 2019
    This dataset updates: Never
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Benin: (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).
  • 600+ Downloads
    Time Period of the Dataset [?]: December 01, 2020-July 13, 2023 ... More
    Modified [?]: 13 July 2023
    Dataset Added on HDX [?]: 13 July 2023
    This dataset updates: As needed
    The data measures the frequency of long ties in different geographic locations of the US and Mexico. Long ties, the edges in the connectivity network without any mutual contact, have been shown to play an important role in access to economic opportunities. Clustering coefficient is yet another related measure that captures the level of structural diversity in a network. Both these measures are provided at two different levels: zip codes and counties (or municipalities in Mexico). The data is described in more detail in the accompanying paper “Long ties, disruptive life events and economic prosperity.”
  • 400+ Downloads
    Time Period of the Dataset [?]: March 01, 2020-May 15, 2023 ... More
    Modified [?]: 15 May 2023
    Dataset Added on HDX [?]: 15 May 2023
    This dataset updates: As needed
    Business Activity Trends During COVID-19 uses the rate that businesses post on Facebook compared to pre-crisis levels to measure how crisis events are affecting different economic sectors each day. Learn more details here: https://dataforgood.facebook.com/dfg/tools/business-activity-trends and https://dataforgood.facebook.com/dfg/resources/business-activity-trends-methodology-paper
  • 600+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-April 06, 2023 ... More
    Modified [?]: 6 April 2023
    Dataset Added on HDX [?]: 6 April 2023
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in the Pitcairn Islands: (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).
  • 600+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-March 14, 2023 ... More
    Modified [?]: 14 March 2023
    Dataset Added on HDX [?]: 14 March 2023
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Nauru: (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
    Time Period of the Dataset [?]: April 01, 2022-October 20, 2022 ... More
    Modified [?]: 20 October 2022
    Dataset Added on HDX [?]: 3 October 2022
    This dataset updates: As needed
    Gallup, Meta and a group of academic advisors collaborated to design and conduct the Social Connections Survey, which offers a first look at how social connections vary across diverse geographic regions. The survey was administered through face-to-face or phone interviews with people aged 15 and older in seven countries. The data provides an in-depth look at the extent to which people feel connected, socially supported and lonely in different parts of the world. The data also sheds new light on the characteristics of people’s social connections, the ways people interact with others, the groups with whom they have frequent contact, and how they connect with others to get support when they need it. Please see the State of Social Connections Study on the Data for Good website for more information and a report with key findings. Aggregate country-level data for each item in the survey is publicly available below. Controlled access microdata is available for request through the Data for Good Program at Meta.
  • 23000+ Downloads
    Time Period of the Dataset [?]: August 01, 2022-August 01, 2022 ... More
    Modified [?]: 1 August 2022
    Dataset Added on HDX [?]: 1 July 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
  • 1600+ Downloads
    Time Period of the Dataset [?]: July 04, 2021-March 15, 2023 ... More
    Modified [?]: 15 March 2023
    Dataset Added on HDX [?]: 15 December 2021
    This dataset updates: Every six months
    Commuting zones are geographic areas where people live and work and are useful for understanding local economies, as well as how they differ from traditional boundaries. Learn more here: https://dataforgood.facebook.com/dfg/tools/commuting-zones
  • 800+ Downloads
    Time Period of the Dataset [?]: August 06, 2021-August 06, 2021 ... More
    Modified [?]: 6 August 2021
    Dataset Added on HDX [?]: 6 August 2021
    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 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).
  • 28000+ Downloads
    Time Period of the Dataset [?]: April 01, 2021-February 17, 2023 ... More
    Modified [?]: 17 February 2023
    Dataset Added on HDX [?]: 8 April 2021
    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/
  • 1600+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-October 23, 2020 ... More
    Modified [?]: 23 October 2020
    Dataset Added on HDX [?]: 7 October 2020
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Turkey: (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).
  • 4700+ Downloads
    Time Period of the Dataset [?]: September 21, 2020-January 14, 2022 ... More
    Modified [?]: 14 January 2022
    Dataset Added on HDX [?]: 22 September 2020
    This dataset updates: As needed
    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
  • 55000+ Downloads
    Time Period of the Dataset [?]: March 01, 2020-May 24, 2022 ... More
    Modified [?]: 24 May 2022
    Confirmed [?]: 31 May 2022
    Dataset Added on HDX [?]: 26 May 2020
    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/
  • 1000+ Downloads
    Time Period of the Dataset [?]: September 19, 2019-September 27, 2019 ... More
    Modified [?]: 27 September 2019
    Dataset Added on HDX [?]: 21 September 2019
    This dataset updates: As needed
    These high-resolution maps estimate not only the number of people living within 30-meter grid tiles, but also provide insights on demographics at unprecedentedly high resolutions. These maps aren’t built using Facebook data and instead rely on combining the power of machine vision AI with satellite imagery and census information.
  • 1300+ Downloads
    Time Period of the Dataset [?]: June 19, 2019-April 29, 2021 ... More
    Modified [?]: 29 April 2021
    Dataset Added on HDX [?]: 19 June 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in American Samoa: (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).
  • 700+ Downloads
    Time Period of the Dataset [?]: June 10, 2019-June 11, 2019 ... More
    Modified [?]: 11 June 2019
    Dataset Added on HDX [?]: 10 June 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Saint Kitts and Nevis: (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).
  • 1100+ Downloads
    Time Period of the Dataset [?]: May 20, 2019-November 15, 2022 ... More
    Modified [?]: 15 November 2022
    Dataset Added on HDX [?]: 18 April 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Tunisia: (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
    Time Period of the Dataset [?]: May 20, 2019-August 09, 2022 ... More
    Modified [?]: 9 August 2022
    Dataset Added on HDX [?]: 18 April 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Cameroon: (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).
  • 1200+ Downloads
    Time Period of the Dataset [?]: May 20, 2019-July 22, 2022 ... More
    Modified [?]: 22 July 2022
    Dataset Added on HDX [?]: 18 April 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Burundi: (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).
  • 3900+ Downloads
    Time Period of the Dataset [?]: October 01, 2018-April 08, 2019 ... More
    Modified [?]: 8 April 2019
    Dataset Added on HDX [?]: 8 April 2019
    This dataset updates: As needed
    This zip file contains 28 cloud optimized tiff files that cover the continent of Africa. Each of the 28 files represents a region or area - these are not divided by country. Notes: The country-by-country files that were previously hosted here have been moved into separate datasets. You can find all of them here. South Sudan, Sudan, Somalia and Ethiopia are intentionally omitted from this dataset. However, a country-level dataset for Ethiopia can be found here. These 28 tiff files represent 2015 population estimates. However, please note that many of the country-level files include 2020 population estimates including: Angola, Benin, Botswana, Burundi, Cameroon, Cabo Verde, Cote d'Ivoire, Djibouti, Eritrea, Eswatini, The Gambia, Ghana, Lesotho, Liberia, Mozambique, Namibia, Sao Tome & Principe, Sierra Leone, South Africa, Togo, Zambia, and Zimbabwe.
  • 2600+ Downloads
    Time Period of the Dataset [?]: January 24, 2019-March 19, 2019 ... More
    Modified [?]: 19 March 2019
    Dataset Added on HDX [?]: 15 March 2019
    This dataset updates: Never
    Facebook has produced a model to help map global medium voltage (MV) grid infrastructure, i.e. the distribution lines which connect high-voltage transmission infrastructure to consumer-serving low-voltage distribution. The data found here are model outputs for six select African countries: Malawi, Nigeria, Uganda, DRC, Cote D’Ivoire, and Zambia. The grid maps are produced using a new methodology that employs various publicly-available datasets (night time satellite imagery, roads, political boundaries, etc) to predict the location of existing MV grid infrastructure. The model documentation and code are also available , so data scientists and planners globally can replicate the model to expand model coverage to other countries where this data is not already available. You can find the model code and documentation here: https://github.com/facebookresearch/many-to-many-dijkstra Note: current model accuracy is approximately 70% when compared to existing ground-truthed data. Accuracy can be further improved by integrating other locally-relevant information into the model and running it again. Resolution: geotiff is provided at Bing Tile Level 20