♿👫 Population with disabilities

Number of people with disabilities in the United States based on the U.S. Census Bureaus American Community Survey (ACS). This page describes how disability is defined and collected in the ACS: https://www.census.gov/topics/health/disability/guidance/data-collection-acs.html

Layer Details

  • Categories: Demography | Social, Healthcare
  • Unit: ppl
  • Data type: univariate
Values analysis:
  • Average: 0.24
  • Maximum: 53.5
  • Minimum: 0
  • Standard Deviation: 0.27
  • Sources

    • © United States Census Bureau. 2019 5-Year American Community Survey (ACS). https://www.census.gov/en.html
    • © Kontur https://kontur.io/
    • Facebook Connectivity Lab and Center for International Earth Science Information Network – CIESIN – Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. https://dataforgood.fb.com/tools/population-density-maps/
    • Dataset: Schiavina M.,Freire S.,Carioli A.,MacManus K. (2023): GHS-POP R2023A – GHS population grid multitemporal (1975-2030).European Commission,Joint Research Centre (JRC) PID: http://data.europa.eu/89h/2ff68a52-5b5b-4a22-8f40-c41da8332cfe,doi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE Concept & Methodology: Freire S.,MacManus K.,Pesaresi M.,Doxsey-Whitfield E.,Mills J. (2016) Development of new open and free multi-temporal global population grids at 250 m resolution. Geospatial Data in a Changing World.,Association of Geographic Information Laboratories in Europe (AGILE),AGILE 2016
    • Copernicus Global Land Service: Land Cover 100 m: Marcel Buchhorn,Bruno Smets,Luc Bertels,Bert De Roo,MyroslavaLesiv,Nandin – Erdene Tsendbazar,… Steffen Fritz. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (Version V3.0.1) Data set. Zenodo. http://doi.org/10.5281/zenodo.3939050
    • Microsoft Buildings: Australia,Canada,Tanzania,Uganda,USA: This data is licensed by Microsoft under the Open Data Commons Open Database License (ODbL).
    • NZ Building Outlines data sourced from the LINZ Data Service – https://data.linz.govt.nz/
    • Geoalert Urban Mapping: Chechnya,Moscow region,Tyva,Tashkent,Bukhara,Samarkand,Navoi,Chirchiq – https://github.com/Geoalert/urban-mapping
    • © OpenStreetMap contributors https://www.openstreetmap.org/copyright

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