100+ datasets found
  1. Share of people in the U.S. with disabilities from 2008 to 2022

    • statista.com
    Updated Nov 19, 2024
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    John Elflein (2024). Share of people in the U.S. with disabilities from 2008 to 2022 [Dataset]. https://www.statista.com/topics/4380/disability-in-the-us/
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    Dataset updated
    Nov 19, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    John Elflein
    Area covered
    United States
    Description

    In 2022, it was estimated that almost 20 percent of the population of the U.S. had some form of disability, such as a vision disability, hearing disability, or cognitive disability. This statistic presents the percentage of people in the U.S. who had a disability from 2008 to 2022.

  2. U.S. median earnings for people with and without disabilities from 2008 to...

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). U.S. median earnings for people with and without disabilities from 2008 to 2023 [Dataset]. https://www.statista.com/statistics/978989/disability-annual-earnings-us/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, the median salary for people with a disability was considerably lower throughout the years under consideration. In 2023, the median salary for people with a disability was ****** U.S. dollars. Conversely, the median salary for people without a disability in the same year was ****** U.S. dollars. This statistic presents the median annual salary of people with and without disabilities in the U.S. from 2008 to 2023.

  3. Share of people in the U.S. with a disability as of 2023, by state

    • statista.com
    • ai-chatbox.pro
    Updated Apr 11, 2025
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    Statista (2025). Share of people in the U.S. with a disability as of 2023, by state [Dataset]. https://www.statista.com/statistics/794278/disabled-population-us-by-state/
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    Dataset updated
    Apr 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the U.S. states with the highest share of the population that had a disability were West Virginia, Arkansas, and Kentucky. At that time, around 19.7 percent of the population of West Virginia had some form of disability. The states with the lowest rates of disability were New Jersey, Utah, and Minnesota. Disability in the United States A disability is any condition, either physical or mental, that impairs one’s ability to do certain activities. Some examples of disabilities are those that affect one’s vision, hearing, movement, or learning. It is estimated that around 14 percent of the population in the United States suffers from some form of disability. The prevalence of disability increases with age, with 46 percent of those aged 75 years and older with a disability, compared to just six percent of those aged 5 to 15 years. Vision impairment One common form of disability comes from vision impairment. In 2023, around 3.6 percent of the population of West Virginia had a vision disability, meaning they were blind or had serious difficulty seeing even when wearing glasses. The leading causes of visual disability are age-related and include diseases such as cataracts, glaucoma, and age-related macular degeneration. This is clear when viewing the prevalence of vision disability by age. It is estimated that 8.3 percent of those aged 75 years and older in the United States have a vision disability, compared to 4.3 percent of those aged 65 to 74 and only 0.9 percent of those aged 5 to 15 years.

  4. F

    Population - With a Disability, 16 Years and over

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). Population - With a Disability, 16 Years and over [Dataset]. https://fred.stlouisfed.org/series/LNU00074597
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Population - With a Disability, 16 Years and over (LNU00074597) from Jun 2008 to Jun 2025 about disability, civilian, 16 years +, population, and USA.

  5. Share of people with a disability in the U.S. as of 2023, by age

    • statista.com
    Updated Jun 5, 2025
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    Statista (2025). Share of people with a disability in the U.S. as of 2023, by age [Dataset]. https://www.statista.com/statistics/793952/disability-in-the-us-by-age/
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    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    The prevalence of disabilities in the United States shows a clear correlation with age, with nearly half of Americans aged 75 and older experiencing some form of disability. This stark contrast to younger age groups highlights the increasing challenges faced by the elderly population in maintaining their independence and quality of life. Disability rates across age groups According to 2023 data, only 0.7 percent of children under 5 years old have a disability, compared to 6.3 percent of those aged 5 to 15. The percentage rises steadily with age, reaching 11.2 percent for adults between 21 and 64 years old. A significant jump occurs in the 65 to 74 age group, where 23.9 percent have a disability. The most dramatic increase is seen in those 75 and older, with 45.3 percent experiencing some form of disability. These figures underscore the importance of accessible services and support systems for older Americans. The Individuals with Disabilities Education Act (IDEA) The prevalence of disabilities among younger Americans has significant implications for the education system. The Individuals with Disabilities Education Act (IDEA) is a law in the United States that guarantees the right to a free appropriate education for children with disabilities. In the 2021/22 academic year, 7.26 million disabled individuals aged 3 to 21 were covered by the Individuals with Disabilities Education Act (IDEA). This number includes approximately 25,000 children with traumatic brain injuries and 434,000 with intellectual disabilities.

  6. Employment rate among U.S. adults with disabilities from 2008 to 2022

    • statista.com
    Updated Nov 19, 2024
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    John Elflein (2024). Employment rate among U.S. adults with disabilities from 2008 to 2022 [Dataset]. https://www.statista.com/topics/4380/disability-in-the-us/
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    Dataset updated
    Nov 19, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    John Elflein
    Description

    In 2022, only around 45 percent of people with a disability were employed, compared to 78.9 percent of those without a disability. This statistic presents the percentage of U.S. adults with a disability who were employed from 2008 to 2022.

  7. H

    Disability Statistics Center

    • data.niaid.nih.gov
    Updated Feb 2, 2011
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    (2011). Disability Statistics Center [Dataset]. http://doi.org/10.7910/DVN/1LHI3O
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    Dataset updated
    Feb 2, 2011
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Users can access data pertaining to individuals with disabilities. Topics include but are not limited to: people with disabilities’ access to employment, technology, healthcare, and community based services. Background The Disability Statistics Center is based at the Institute for Health and Aging at the University of California, San Francisco (UCSF). The Disability Statistics Center generates reports ranging from employment opportunities, Medicaid home and community-based services, mobility device use, computer and internet use, wheelchair use, vocational rehabilitation, education, medical expenditures, and functional limitations among people with disabilities. User functiona lity Data is presented in report or abstract form and can be downloaded in PDF or HTML formats by clicking on the publications link. All reports and abstracts use United States data. Additional data sources are listed under “Finding Disability Data” and include data from the United States as well as international data. Data Notes The data sources are clearly referenced for each article. The most recent publications are from 2003. There is no indication on the site when the data will be updated.

  8. F

    Unemployment Rate - With a Disability, 16 Years and over

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). Unemployment Rate - With a Disability, 16 Years and over [Dataset]. https://fred.stlouisfed.org/series/LNU04074597
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Unemployment Rate - With a Disability, 16 Years and over (LNU04074597) from Jun 2008 to Jun 2025 about disability, 16 years +, household survey, unemployment, rate, and USA.

  9. Share of people in the U.S. with disabilities from 2008 to 2023

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Share of people in the U.S. with disabilities from 2008 to 2023 [Dataset]. https://www.statista.com/statistics/792697/disability-in-the-us-population-share/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, it was estimated that around 14 percent of the population of the U.S. had some form of disability, such as a vision disability, hearing disability, or cognitive disability. This statistic presents the percentage of people in the U.S. who had a disability from 2008 to 2023.

  10. F

    Employment-Population Ratio - With a Disability, 16 Years and over

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
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    (2025). Employment-Population Ratio - With a Disability, 16 Years and over [Dataset]. https://fred.stlouisfed.org/series/LNU02374597
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    jsonAvailable download formats
    Dataset updated
    Jun 6, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employment-Population Ratio - With a Disability, 16 Years and over (LNU02374597) from Jun 2008 to May 2025 about disability, employment-population ratio, 16 years +, household survey, employment, population, and USA.

  11. F

    Employed - With a Disability, 16 Years and over

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). Employed - With a Disability, 16 Years and over [Dataset]. https://fred.stlouisfed.org/series/LNU02074597
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employed - With a Disability, 16 Years and over (LNU02074597) from Jun 2008 to Jun 2025 about disability, 16 years +, household survey, employment, and USA.

  12. F

    Labor Force Participation Rate - With a Disability, 16 to 64 Years, Men

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). Labor Force Participation Rate - With a Disability, 16 to 64 Years, Men [Dataset]. https://fred.stlouisfed.org/series/LNU01376955
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Labor Force Participation Rate - With a Disability, 16 to 64 Years, Men (LNU01376955) from Jun 2008 to Jun 2025 about 16 to 64 years, disability, males, participation, civilian, labor force, labor, household survey, rate, and USA.

  13. Health insurance coverage for people with and without disabilities from 2008...

    • statista.com
    • ai-chatbox.pro
    Updated Nov 19, 2024
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    Preeti Vankar (2024). Health insurance coverage for people with and without disabilities from 2008 to 2021 [Dataset]. https://www.statista.com/topics/4380/disability-in-the-us/
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    Dataset updated
    Nov 19, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Preeti Vankar
    Description

    According to the data, nearly 90 percent of people with disabilities had insurance coverage in 2021, an increase from under 82 percent in 2008. This statistic presents the percentage of people with and without disabilities who had insurance coverage from 2008 to 2021.

  14. V

    Virginia Disability Characteristics by Census Tract (ACS 5-Year)

    • data.virginia.gov
    csv
    Updated Jan 2, 2025
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    Office of INTERMODAL Planning and Investment (2025). Virginia Disability Characteristics by Census Tract (ACS 5-Year) [Dataset]. https://data.virginia.gov/dataset/virginia-disability-characteristics-by-census-tract-acs-5-year
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    csv(31160488)Available download formats
    Dataset updated
    Jan 2, 2025
    Dataset authored and provided by
    Office of INTERMODAL Planning and Investment
    Area covered
    Virginia
    Description

    2013-2023 Virginia Disability Characteristics by Census Tract. Contains estimates and margins of error.

    Special data considerations: Large negative values do exist (more detail below) and should be addressed prior to graphing or aggregating the data. A null value in the estimate means there is no data available for the requested geography.

    A value of -888,888,888 indicates that the estimate or margin of error is not applicable or not available.

    U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table S1810 Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)

    The United States Census Bureau's American Community Survey (ACS): -What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html) -Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html) -Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)

    Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)

    Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.

    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.

  15. F

    Not in Labor Force - With a Disability, 16 to 64 Years, Men

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). Not in Labor Force - With a Disability, 16 to 64 Years, Men [Dataset]. https://fred.stlouisfed.org/series/LNU05076955
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Not in Labor Force - With a Disability, 16 to 64 Years, Men (LNU05076955) from Jun 2008 to Jun 2025 about 16 to 64 years, disability, males, labor force, labor, household survey, and USA.

  16. O

    2017 San Diego County Demographics - Percent of the Population with a...

    • data.sandiegocounty.gov
    application/rdfxml +5
    Updated Feb 26, 2020
    + more versions
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    County of San Diego (2020). 2017 San Diego County Demographics - Percent of the Population with a Disability by Age Group [Dataset]. https://data.sandiegocounty.gov/Demographics/2017-San-Diego-County-Demographics-Percent-of-the-/nj44-amv2
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    csv, json, tsv, application/rssxml, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Feb 26, 2020
    Dataset authored and provided by
    County of San Diego
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    San Diego County
    Description

    This indicator provides number and percentage of persons with a disability (one or more) within each age group. Disability status is determined for the civilian non-institutionalized population who responded to questions regarding six types of difficulty and may vary by age. For children under 5 years old, hearing and vision difficulty are used to determine disability status. For children between the ages of 5 and 14, disability status is determined from hearing, vision, cognitive, ambulatory, and self-care difficulties. For people aged 15 years and older, they are considered to have a disability if they have difficulty with any one of the six difficulty types. *Refers to the percent of those with a disability within the specific age group.

    Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table S1810.

  17. Elderly & Disabled Services in the US

    • ibisworld.com
    Updated Jan 16, 2025
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    IBISWorld (2025). Elderly & Disabled Services in the US [Dataset]. https://www.ibisworld.com/united-states/number-of-businesses/elderly-disabled-services/1607/
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    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2002 - 2031
    Area covered
    United States
    Description

    Number of Businesses statistics on the Elderly & Disabled Services industry in the US

  18. a

    DISABILITY CHARACTERISTICS (S1810)

    • data-seattlecitygis.opendata.arcgis.com
    • data.seattle.gov
    Updated Aug 10, 2023
    + more versions
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    City of Seattle ArcGIS Online (2023). DISABILITY CHARACTERISTICS (S1810) [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/datasets/SeattleCityGIS::disability-characteristics-s1810
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    Dataset updated
    Aug 10, 2023
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Description

    Table from the American Community Survey (ACS) S1810 disability characteristics by age. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2015 shown by the corresponding census tract vintage. Also includes the most recent release annually.King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.Vintages: 2015, 2020, 2021, 2022, 2023ACS Table(s): S1810Data downloaded from: Census Bureau's Explore Census Data The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

  19. U.S. employment level of persons with a disability 2009-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 5, 2024
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    Statista (2024). U.S. employment level of persons with a disability 2009-2023 [Dataset]. https://www.statista.com/statistics/1219264/us-employment-level-disabled-persons/
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, there were 7.53 million persons with a disability employed either full-time or part-time in the United States. This was an increase from the previous year, when 6.96 million persons with a disability were employed. The increase in employment among persons with disabilities may be due to the recovery of the COVID-19 pandemic. The persons with a disability section of the Current Population Survey, (CPS) is a set of six questions to identify persons have physical, mental, or emotional conditions that cause serious difficulty with their daily activities.

  20. F

    Civilian Labor Force - With a Disability, 16 Years and over

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). Civilian Labor Force - With a Disability, 16 Years and over [Dataset]. https://fred.stlouisfed.org/series/LNU01074597
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Civilian Labor Force - With a Disability, 16 Years and over (LNU01074597) from Jun 2008 to Jun 2025 about disability, civilian, 16 years +, labor force, labor, household survey, and USA.

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John Elflein (2024). Share of people in the U.S. with disabilities from 2008 to 2022 [Dataset]. https://www.statista.com/topics/4380/disability-in-the-us/
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Share of people in the U.S. with disabilities from 2008 to 2022

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 19, 2024
Dataset provided by
Statistahttp://statista.com/
Authors
John Elflein
Area covered
United States
Description

In 2022, it was estimated that almost 20 percent of the population of the U.S. had some form of disability, such as a vision disability, hearing disability, or cognitive disability. This statistic presents the percentage of people in the U.S. who had a disability from 2008 to 2022.

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