Number and proportion of persons by sex, age and urbanization for different disability types and different disability cut-off points.
Find more Pacific data on PDH.stat.
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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.
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.
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Graph and download economic data for Population - With a Disability, 16 Years and over (LNU00074597) from Jun 2008 to Jul 2025 about disability, civilian, 16 years +, population, and USA.
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Anti-social behaviour (ASB) outcomes for disabled people in England and Wales aged 16 and over, with analysis by disability status, country, sex, age, impairment type, type of ASB. Domestic abuse and sexual assault outcomes for disabled people in England and Wales aged 16 to 59 years, with analysis by disability status, age, sex, impairment type, impairment severity, country and region. All outcomes using the Crime Survey for England and Wales (CSEW) data.
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.
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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.
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.
Differences in the number and proportion of persons with and without disabilities, aged 15 years and over, by census metropolitan areas.
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Loneliness outcomes for disabled people in England aged 16 years and over, with analysis by age, sex, impairment severity and region using the Community Life Survey (CLS) data.
Statistics on trips taken by disabled people are obtained from the National Travel Survey (NTS).
In 2021:
Statistics on parking badges for disabled people (‘Blue Badges’) in England are obtained from the Blue Badge Digital Service (BBDS) database.
As at 31 March 2022:
Between 1 April 2021 and 31 March 2022:
Due to ongoing issues with data quality and completeness, and in order to reduce the burden of this collection on local authorities, data on Blue Badge prosecutions have not been collected for the year ending 31 March 2022.
Transport: disability, accessibility and blue badge statistics
Email mailto:localtransport.statistics@dft.gov.uk">localtransport.statistics@dft.gov.uk
Media enquiries 0300 7777 878
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Graph and download economic data for Employment-Population Ratio - With a Disability, 16 Years and over (LNU02374597) from Jun 2008 to Jun 2025 about disability, employment-population ratio, 16 years +, household survey, employment, population, and USA.
This statistical release makes available the most recent Mental Health and Learning Disabilities Dataset (MHLDDS) final monthly data (November 2015), together with provisional information for December 2015. This publication presents a wide range of information about care delivered to users of NHS funded secondary mental health and learning disability services in England.
The scope of the Mental Health Minimum Dataset (MHMDS) was extended to cover Learning Disability services from September 2014. Many people who have a learning disability use mental health services and people in learning disability services may have a mental health problem. This means that activity included in the new MHLDDS dataset cannot be distinctly divided into mental health or learning disability spells of care – a single spell of care may include inputs from either of both types of service.
The Currencies and Payment file that forms part of this release is specifically limited to services in scope for currencies and payment in mental health services and remains unchanged.
This information will be of particular interest to organisations involved in delivering secondary mental health and learning disability care to adults and older people, as it presents timely information to support discussions between providers and commissioners of services. The MHLDS Monthly Report also includes reporting by local authority for the first time.
For patients, researchers, agencies, and the wider public it aims to provide up to date information about the numbers of people using services, spending time in hospital and subject to the Mental Health Act (MHA). Some of these measures are currently experimental analysis.
The Currency and Payment (CaP) measures can be found in a separate machine-readable data file and may also be accessed via an on-line interactive visualisation tool that supports benchmarking. This can be accessed through the related links at the bottom of the page.
During summer 2015 we undertook a consultation on Adult Mental Health Statistics, seeking users views on the existing reports and what might usefully be added to our reports when the new version of the dataset (MHSDS) is implemented in 2016. A report on this consultation can be found below.
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Disability and Health Data System (DHDS) is an online source of state-level data on adults with disabilities. Users can access information on six functional disability types: cognitive (serious difficulty concentrating, remembering or making decisions), hearing (serious difficulty hearing or deaf), mobility (serious difficulty walking or climbing stairs), vision (serious difficulty seeing), self-care (difficulty dressing or bathing) and independent living (difficulty doing errands alone).
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.
Income of individuals by disability status, age group, sex and income source, Canada, annual.
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The aim of this publication is to provide information about the key differences in healthcare between people with a learning disability and those without. It contains aggregated data on key health issues for people who are recorded by their GP as having a learning disability, and comparative data about a control group who are not recorded by their GP as having a learning disability. Eight new indicators were introduced in the 2023-24 reporting year for patients with and without a recorded learning disability. These relate to: • Patients treated with melatonin • Gender breakdown for attention deficit hyperactivity disorder (ADHD) • Anxiety prevalence Six indicators have been removed from the 2023-24 reporting year relating to: • Kidney disease • Epilepsy • Seizure frequency More information on these changes can be found in the Data Quality section of this publication. Data has been collected from participating practices using EMIS and Cegedim Healthcare Systems GP systems.
DIS0401: https://assets.publishing.service.gov.uk/media/678f731fee8326de1d8e9d97/dis0401.ods">Travel by disability status and age: England (ODS, 11 KB)
DIS0402: https://assets.publishing.service.gov.uk/media/678f731fe94a1e07c3ef84b4/dis0402.ods">Average number of trips and distance travelled by mode with disability status and age: England (ODS, 41.3 KB)
DIS0403: https://assets.publishing.service.gov.uk/media/678f731ff4ff8740d978866b/dis0403.ods">Travel by purpose, with disability status and age: England (ODS, 29.7 KB)
DIS0404: https://assets.publishing.service.gov.uk/media/678f731fa91b5e12ffef84ad/dis0404.ods">Travel by Rural-Urban Classification, with disability status and age: England (ODS, 15.5 KB)
DIS0405: https://assets.publishing.service.gov.uk/media/678f731f1784b7a1338e9d8e/dis0405.ods">Travel by personal car access, with disability status and age: England (ODS, 16.4 KB)
DIS0406: https://assets.publishing.service.gov.uk/media/678f731ff4ff8740d978866c/dis0406.ods">Travel by working status, with disability status and age: England (ODS, 12.7 KB)
DIS0407: https://assets.publishing.service.gov.uk/media/678f731fc9c786c1eb78866b/dis0407.ods">Travel by driving licence holding, with disability status and age: England (ODS, 15 KB)
DIS0408: https://assets.publishing.service.gov.uk/media/678f731fc9c786c1eb78866c/dis0408.ods">Average number of trips by disability status and sex: England (ODS, 9.5 KB)
DIS0409: https://assets.publishing.service.gov.uk/media/678f731ff4ff8740d978866d/dis0409.ods">Average number of trips by disability status and household income quintile: England (ODS, 9.78 KB)
Transport: disability, accessibility and blue badge statistics
Email mailto:localtransport.statistics@dft.gov.uk">localtransport.statistics@dft.gov.uk
Media enquiries 0300 7777 878
ABS Statistics about health and disability in Australia's Local Government Areas (LGA) for the years 2011, 2016, 2018 and 2021.
The monthly summary report is intended to provide the user with a quick overview of the status of the DI program at the state level. This summary report contains monthly information on claims activities, average weekly benefit amounts, average duration of claims, benefits authorized, the DI Fund balance and other statistics. This data is used in budgetary and administrative planning, program evaluation, and reports to the Legislature and the public.
Number and proportion of persons by sex, age and urbanization for different disability types and different disability cut-off points.
Find more Pacific data on PDH.stat.