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.

Graph and download economic data for Population - With No Disability, 16 Years and over (LNU00074593) from Jun 2008 to May 2025 about disability, civilian, 16 years +, population, and USA.

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.

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.

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.

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.

Context

Overall, 1846 and 1499 per lakh population had any type of disability during the survey in rural and urban areas respectively. In some places, people with disabilities are seen as wicked or deceitful, or as unable to progress to adulthood and dependent on charity and pity for assistance. In such scenarios, people with disabilities are often socially segregated, often as a results of ingrained cultural and religious attitudes toward disability.

Content

The dataset consists of 14 columns having information about people with disabilities across the country. The data is divided for all the states within India.

Inspiration

Let us all make use of power of ML and come up with various insights to dig deeper in the issue.

Local, state, tribal, and federal agencies use disability data to plan and fund programs for people with disabilities. Disability data helps communities enroll eligible households in programs designed to assist them such as health care programs and affordable housing programs. Disability data also helps local jurisdictions provide services that:Enable older adults to remain living safely in their homes and communities (Older Americans Act).Provide services and assistance to people with a disability, such as financial assistance with utilities (Low Income Home Energy Assistance Program)Disability data helps communities qualify for grants such as the Community Development Block Grant (CDBG) Program, the HOME Investment Partnership Program, the Emergency Solutions Grants (ESG) Program, the Housing Opportunities for Persons with AIDS (HOPWA) Program, and other local and federal programs.Disability data are also used to evaluate other government programs and policies to ensure that they fairly and equitably serve the needs of all groups, as well as enforce laws, regulations, and policies against discrimination.This map shows the count and prevalence of people with a disability. This includes people with a hearing difficulty, a vision difficulty, an ambulatory difficulty, a cognitive difficulty, a self-care difficulty, and an independent-living difficulty. The features in web map are symbolized using color and size to depict total population with a disability count (size of symbol) and prevalence (color of symbol). Web map is multi-scaled, and opens displaying data for counties and tracts. This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

According to the data, nearly 91 percent of people with disabilities had insurance coverage in 2023, 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 2023.

This publication brings together the Learning Disabilities and Autism (LDA) data from the Assuring Transformation (AT) collection and the LDA service specific statistics from the Mental Health Statistics Data Set (MHSDS). A couple of figures on commissioner counts were corrected in the AT CSV file on 20th May 2021. There are differences in the inpatient figures between the MHSDS and AT data sets and work is underway to better understand these. The MHSDS LDA data are currently labelled experimental as they are undergoing evaluation. Further information on the quality of these statistics is available in the Data Quality section of the main report. There is a slight difference in scope between the two data collections. The MHSDS data is from providers based in England and includes care provided in England but may be commissioned outside England. Whereas the Assuring Transformation data are provided by English commissioners and healthcare will typically be provided in England but also includes data on care commissioned in England and provided elsewhere in the UK. The release comprises: Assuring Transformation Publication. MHSDS LDA Publication: These statistics are derived from submissions made using version 4.1 of the Mental Health Services Dataset (MHSDS). Prior to May 2018 the LDA service specific statistics were included in the main MHSDS publication. MHSDS Multiple Submission Window Model (MSWM) The MHSDS v4.1 data model allows providers to retrospectively submit data for any monthly reporting period until the end of year cut-off as part of the Multiple Submission Window Model (MSWM). So, for 2020-21, providers are able to resubmit data for any previous months until the end of March 2021. (This was possible for the first time in MHSDS v4.0 but just for the end of year submission for March 2020 data). This model allows providers to improve the quality of previous submissions. Historical comparison with previous years should therefore be reviewed in that context. Additional information on the MSWM for MHSDS is available via the link at the bottom of this page (related links). We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use the link to the form at the bottom of this page to provide us with any feedback or suggestions for improving the report.

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.

Parking Permits for People with Disabilities (PPPD- State) are issued to people who are eligible to obtain a New York State parking permit, and the person has been certified by a physician as having a disability that severely affects the person’s ability to walk for long distances.

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.

IDEA Section 618 Data Products: Static Tables Part B Assessment Number and percent of students grades 3 through 8 and high school, served under IDEA, Part B, who participated in reading and math assessments, by assessment type and state. Number and percent of students grades 3 through 8 and high school served under IDEA, Part B, who received a valid and proficient score on assessments for math, by assessment type, grade level, and state. Number and percent of students grades 3 through 8 and high school served under IDEA, Part B, who received a valid and proficient score on assessments for reading, by assessment type, grade level, and state. Part B Child Count and Educational Environments Number of children and students served under IDEA, Part B, by age group and state. Number of children ages 3 through 5 (not in kindergarten) served under IDEA, Part B, by disability and state. Number of students ages 5 (in kindergarten) through 21 served under IDEA, Part B, by disability and state. Number and percent of children ages 3 through 5 (not in kindergarten) and students ages 5 (in kindergarten) through 21 served under IDEA, Part B, by EL status and state. Number and percent of children ages 3 through 5 (not in kindergarten) served under IDEA, Part B, by race/ethnicity and state. Number and percent of students ages 5 (in kindergarten) through 21 served under IDEA, Part B, by race/ethnicity and state. Children ages 3 through 5 (not in kindergarten) served under IDEA, Part B, as a percentage of population, by disability category and state. Students ages 5 (in kindergarten) through 21 served under IDEA, Part B, as a percentage of population, by disability category and state. Children and students ages 3 through 21 served under IDEA, Part B, as a percentage of population, by age and state. Number and percent of children in race/ethnicity category ages 3 through 5 (not in kindergarten) with disabilities served under IDEA, Part B, by disability category and state. Number and percent of children in race/ethnicity category ages 5 (in kindergarten) through 21 with disabilities served under IDEA, Part B, by disability category and state. Number and percent of children ages 3 through 5 (not in kindergarten) served under IDEA, Part B, by educational environment and state. Number and percent of students ages 5 (in kindergarten) through 21 served under IDEA, Part B, by educational environment and state. Number and percent of female/male children ages 3 through 5 (not in kindergarten) served under IDEA, Part B, by educational environment and state. Number and percent of female/male students ages 5 (in kindergarten) through 21 served under IDEA, Part B, by educational environment and state. Number and percent of non-English Learner (non-EL) and English Learner (EL) children ages 3 through 5 (not in kindergarten) served under IDEA, Part B, by educational environment and state. Number and percent of non-English Learner (non-EL) and English Learner (EL) students ages 5 (in kindergarten) through 21 served under IDEA, Part B, by educational environment and state. Number and percent of children in race/ethnicity category ages 3 through 5 (not in kindergarten) with disabilities served under IDEA, Part B, by educational environment and state. Number and percent of students in race/ethnicity category ages 5 (in kindergarten) through 21 with disabilities served under IDEA, Part B, by educational environment and state. Number of children and students served under IDEA, Part B, in the US, Outlying Areas, and Freely Associated States by age and disability category. Part B Discipline Number of children and students ages 3 through 21 with disabilities served under IDEA, Part B, removed to an Interim Alternative Educational Setting by type of removal and state by disability. Number of children and students ages 3 through 21 served under IDEA, Part B, suspended/expelled by total number of days removed and state by disability. Number of children and students ages 3 through 21 served under IDEA, Part B, subject to disciplinary removal by total cumulative number of days removed during school year and state by type of disability. Number of children and students ages 3 through 21 with disabilities served under IDEA, Part B, removed to an Interim Alternative Educational Setting by type of removal and state by race/ethnicity. Number of children and students ages 3 through 21 with disabilities served under IDEA, Part B, suspended/expelled by total number of days removed and state by race/ethnicity. Number of children and students ages 3 through 21 with disabilities served under IDEA, Part B, subject to disciplinary removal by total cumulative number of days removed during school year, and state by race/ethnicity. Number and percent of female and male children and students ages 3 through 21 with disabilities served under IDEA, Part B, removed to an Interim Alternative Educational Setting by type of removal and state. Number and percent of female and male children and students ages 3 through 21 with disabilities served under IDEA, Part B, suspended/expelled by total number of days removed and state. Number and percent of female and male children and students ages 3 through 21 with disabilities served under IDEA, Part B, subject to disciplinary removal by total cumulative number of days removed during school year and state. Number and percent of non-English Learner (non-EL) and English Learner (EL) children and students ages 3 through 21 with disabilities served under IDEA, Part B, removed to an Interim Alternative Educational Setting by type of removal and state. Number and percent of non-English Learner (non-EL) and English Learner (EL) children and students ages 3 through 21 with disabilities served under IDEA, Part B, suspended/expelled by total number of removed and state. Number and percent of non-English Learner (non-EL) and English Learner (EL) children and students ages 3 through 21 with disabilities served under IDEA, Part B, subject to disciplinary removal by total cumulative number of days removed during school year and state. Number of children and students, ages 3 through 21, subject to expulsion, by disability status, receipt of educational services and state. Percent of children and students ages 3 through 21 with disabilities served under IDEA, Part B, removed to an Interim Alternative Educational Setting by type of removal, disability, and state. Percent of children and students ages 3 through 21 with disabilities served under IDEA, Part B, suspended/expelled by total number of days removed, disability, and state. Percent of children and students ages 3 through 21 with disabilities served under IDEA, Part B, subject to disciplinary removal by total cumulative number of days removed during school year, disability, and state. Percent of children and students ages 3 through 21 with disabilities served under IDEA, Part B, removed to an Interim Alternative Educational Setting by type of removal, race/ethnicity, and state. Percent of children and students ages 3 through 21 with disabilities served under IDEA, Part B, suspended/expelled by total number of days removed, race/ethnicity, and state. Percent of children and students ages 3 through 21 with disabilities served under IDEA, Part B, subject to disciplinary removal by total cumulative number of days removed during school year, race/ ethnicity, and state. Part B Dispute Resolution Number and percent of written, signed complaints initiated through dispute resolution procedures for children ages 3 through 21 served under IDEA, Part B, by case status and state. Number and percent of mediations held through dispute resolution procedures for children ages 3 through 21 served under IDEA, Part B, by case status and state. Number and percent of hearings (fully adjudicated) through dispute resolution procedures for children ages 3 through 21 served under IDEA, Part B, by case status and state. Number of expedited hearing requests (related to disciplinary decision) filed through dispute resolution procedures for children ages 3 through 21 served under IDEA, Part B, by case status and state. Part B Exiting Number of students ages 14 through 21 with disabilities served under IDEA, Part B, who exited special education, by exit reason and state. Number of students ages 14 through 21 with disabilities served under IDEA, Part B, in the U.S., Outlying Areas, and Freely Associated States who exited special education, by exit reason and age. Number and percent of students ages 14 through 21 with disabilities served under IDEA, Part B, who exited special education, by exit reason, race/ethnicity, and state. Number and percent of female and male students ages 14 through 21 with disabilities served under IDEA, Part B, who exited special education, by exit reason and state. Number and percent of non-English Learner (non-EL) and English Learner (EL) students ages 14 through 21 with disabilities served under IDEA, Part B, who exited special education, by exit reason and state. Part B Maintenance of Effort Reduction and Coordinated Early Intervening Services Number and percent of LEAs reported under each determination level that controls whether the LEA may be able to reduce MOE Amount reduced under the IDEA MOE provision in IDEA §613(a)(2)(C) Number and percent of LEAs that met requirements and had an increase in 611 allocations and took the MOE reduction Number and percent of LEAs required to use 15% of funds for CEIS due to significant disproportionality or voluntarily reserved funds for CEIS Number of children who received CEIS anytime in the past two years and who received special education and related services Number and percent of LEAs/ESAs that were determined to meet the MOE compliance standard in SY 2016-17 Part B Personnel Teachers employed (FTE) to work with children, ages 3 through 5, who are receiving special education under IDEA, Part B, by qualification status and state. Teachers employed

This data set includes the unemployment rate and the labor force participation rate for individuals with and without disabilities as well as the total for all individuals. This data is Pennsylvania specific and is source from the U.S. Census' Current Population Survey (CPS).
The data given for each month is a "rolling" average, which represents the average for the 12 month period ending with the reference month. For example: The July 2019 “People with Disabilities Participation Rate” is the average participation rate of August 2018 – July 2019. The August 2019 rate is the average of September 2018 – August 2019, and so on.

This data layer depicts, by census tract, the number of people that have a disability for the San Francisco Bay Region. The source data, from the United States Census Bureau, has been reprocessed by the Metropolitan Transportation Commission.

To produce this feature set, the Metropolitan Transportation Commission downloaded American Community Survey (ACS) table B18101 and joined the table to a Census 2010 tract polygon feature set. The joined feature set was then exported to create a feature set representing the disability status of persons, by tract, for the region.

The resulting attribute table had all margin of error and non-disability fields deleted and the remaining field names were changed. In addition, a percent of population field was added for each disability field and percent fields for total disabled, total male disabled, and total female disabled fields were added.

The source table used to develop this feature service is from the United States Census Bureau, 2015-2019 American Community Survey 5-Year Estimates and can be downloaded from https://data.census.gov/cedsci/table?q=B18101&g=0400000US06%241400000&tid=ACSDT5Y2019.B18101

The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021.The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads.Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents. There is also a dashboard published showcasing various datasets from the census allowing users to view data for the MSOAs of Leicester and compare this with Leicester overall statistics.Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproductsDisabilityThis dataset provides Census 2021 estimates that classify usual residents in England and Wales by long-term health problems or disabilities. The estimates are as at Census Day, 21 March 2021.Definition: People who assessed their day-to-day activities as limited by long-term physical or mental health conditions or illnesses are considered disabled. This definition of a disabled person meets the harmonised standard for measuring disability and is in line with the Equality Act (2010).This dataset includes details for Leicester MSOAs.

Contains the total size of the Social Security Administration’s backlog of unprocessed initial applications for its disability benefit programs (SSDI and SSI) for 2019 and 2022 in each state. Calculations for percent change in backlog size between the two years by state and the average difference in backlog size per state on a monthly basis are also included.

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.

The updated (August 2007) Disability Employment 101 guide is a comprehensive analysis of hiring employees with disabilities that includes information about how to find qualified workers with disabilities, how to put disability and employment research into practice and how to model what other businesses have done to successfully integrate individuals with disabilities into the workforce.