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Employment outcomes for disabled people in the UK aged 16 to 64 years, with analysis by age, sex, impairment type, country, region, type of occupation and working patterns using Annual Population Survey (APS) data.
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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.
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I've published a few different datasets targeting people with disabilities. I am interested in the topic because I seek to help other people with disabilities (I am a data scientist with a disability).
This particular dataset is most useful for viewing the number and % of people with disabilities by age and demographics within the United States. It also includes statistics by sex.
This dataset is reformatted already. It is the 2018 American Community Survey from Census.gov. It's more useable for visualization and analysis this way.
I will work on cleaning up 2017 so that you can get a year over year comparison.
ACS, all topics covered: https://www.census.gov/programs-surveys/acs/guidance/subjects.html
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This statistical release makes available the most recent Mental Health and Learning Disabilities Dataset (MHLDDS) final monthly data (October 2014) along with final data from September 2014. 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. We will be working with stakeholders to define specific information and reporting requirements relating to specific services or groups of patients. Four new measures have been added to this release to help with interpretation of the data. At local level these contextual figures will provide an indication of the increased caseload that could be attributed to the extension of the dataset to cover LD services. Information on these measures can found in the Announcement of Change paper which accompanies this release. 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.
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This dataset presents the number of people with disabilities registered at various disability centers in Qatar from years 2016- 2023, categorized by age group and center name. It supports understanding of service distribution across age demographics and assists in planning specialized care and resources.
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TwitterDifferences in the number and proportion of persons with and without disabilities, aged 15 years and over, by census metropolitan areas.
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TwitterDisabled Population by Sex, Governorate and Type of Disability
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Twitter2013-2023 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.
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Datasets relating to Disabled People’s Perceptions of Public Transport Service in the UK24th February 2023 - 24th February 2024This exploratory study is to better understand the United Kingdom (UK) transport service for those with disabilities through Transformative Service Research (TSR). This TSR considers Field et al. (2021) Service Research Priority 7 (SRP7 Services for disadvantaged consumers and communities) in the context of Disabled people’s perceptions and lived experiences of public transport service in the UK. Greater insight into Disabled consumer transport experiences at a local/regional level and service ecosystem mindset contributes to much needed innovation on a more diverse, inclusive transport service ecosystem revolution.Datasets 2-7, attached here, are anonymised responses to an online survey. Dataset 1 contained personal data of participants and is not provided here. The aims of the survey were:To explore insights of Disabled people's experiences of public transport in the UK.To consider positive sentiments, barriers and facilitators linked to public transport.To identify suggestions for short and long-term solutions for overcoming some of the barriers.The study results have been submitted for publication and a link will be provided here when available.
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TwitterDisabled Population by Type of Disability, Nationality and Sex
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TwitterThe data in this dataset relates to the economic activity of persons by disabled status. As the question on disability only covers people of working age in the survey, this dataset is restricted to analysis of the working age population. Data for the population aged 16 and over, which are also usually considered when measuring economic activity, are not available. NOTE From 2010-2020 the female state pension age is changing from 60 to 65. The ONS changed the routing of the disability questions so that from 2010 all persons aged 16-64 were asked those questions, prior to that they were only asked to those aged 16/59(f)/64(m) and to those in employment. Therefore data prior to 2010 is on a working age basis (16-59/64) and data after that is available on both a 16-64 and a working age basis. Comparisons should not be made between the working age data prior to 2010 and the 16-64 data after 2010. For a long run series the working age data should be used. In April 2013 the Office for National Statistics (ONS)’s Annual Population Survey (APS) adopted a new standardised question on individuals with health problems. This has led to a discontinuity in the series between responses for March 2013 and April 2013. This will lead to the datasets for July 2012 to June 2013, October 2012 to September 2013 and January 2013 to December 2013 containing responses on two different basis over the period of each dataset. Due to this discontinuity, WG has decided to follow ONS' approach to suspend this series until a full year’s data is available on the APS and will launch a new series based on the new questions from the April 2013 to March 2014 APS. These new series will still be discontinuous when compared with the old series but will be internally consistent.
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This dataset presents the number of people with disabilities in Qatar, categorized by nationality, gender, economic activity status, and their relation to the workforce. It includes classifications such as employed, unemployed (previously or never worked), trainees, and students. The dataset supports labor market inclusion efforts and workforce policy development for persons with disabilities.
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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.
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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).CoverageThis dataset is focused on the data for Birmingham at Ward level. Also available at LSOA, MSOA and Constituency levels.About the 2021 CensusThe Census takes place every 10 years and gives us a picture of all the people and households in England and Wales.Protecting personal dataThe ONS sometimes need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, they:
Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, they swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority. Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when they applied perturbation.For more geographies, aggregations or topics see the link in the Reference below. Or, to create a custom dataset with multiple variables use the ONS Create a custom dataset tool.Population valueThe value column represents All usual residents.The percentage shown is the value as a percentage of All usual residents within the given geography.
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Percentage of people who use services who have control over their daily life - Disabled People (ASC User Survey)
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Latest monthly statistics on Learning Disabilities and Autism (LDA) patients from the Assuring Transformation (AT) collection and Mental Health Services Data Set (MHSDS). Data on inpatients with learning disabilities and/or autism are being collected both within the AT collection and MHSDS. There are differences in the inpatient figures between the AT and MHSDS data sets and work has been ongoing to better understand these. LDA data from MHSDS are experimental statistics, however, while impacts from the cyber incident are still present they will be considered to be management information. From October 2021, LDA MHSDS data has been collected under MHSDS version 5. A number of comparators are published each month to assess the differences in reporting between the collections. These can be found in the MHSDS datasets section. From 1 July 2022, Integrated Care Boards were established within Integrated Care Systems data and replaced Sustainability and Transformation Plans (STPs). Clinical Commissioning Groups have been replaced by sub-Integrated Care Boards. Data for the AT collection is now submitted by sub-Integrated Care Boards. This has resulted in some renaming within tables and the inclusion of a new Table 5.1b with a patient breakdown by submitting organisation. Patients by originating organisation and commissioning type are still available in Table 5.1a. Data in the tables are now presented by the current organisational structures. Old organisational structures have been mapped to new structures in any time series. As of 23rd May 2024, restraints data for MHSDS February 2024 has been added to the 'Learning disability services monthly statistics from MHSDS: Data tables' page. This is available within Tables 15-18 of v2 of the Data tables as well as within v2 of the csv file.
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Population with severe disabilities receiving disability cash benefit (%)
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This dataset provides country-level data for the indicator "1.3.1 Population with severe disabilities receiving disability cash benefit (%)" across African nations, sourced from the World Health Organization's (WHO) data portal on Sustainable Development Goals (SDGs). The data is presented in a wide format, where each row represents a date (yearly) and each… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/population-with-severe-disabilities-receiving-disability-cas-for-african-countries.
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The data within this dashboard shows how we are performing against our objective to support people with disability to realise their potential by:
• increasing the number of people with disability who make decisions about their supports
• preparing for the full rollout of the NDIS by July 2018.
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The Mental Health Minimum Data Set (MHMDS) was renamed Mental Health and Learning Disabilities Data Set (MHLDDS) following an expansion in scope (from September 2014) to include people in contact with learning disability services for the first time. This monthly statistical release makes available the most recent Mental Health Minimum Dataset (MHMDS) data from April 2013 onwards. Further analysis to support currencies and payment in adult and older people's mental health services was added to the publication of April 2014 final data which can be found in the related links below. These changes are described in the Methodological Change paper referenced below. As well as providing timely data, it presents a wide range of information about care given to users of NHS-funded, secondary mental health services for adults and older people ('secondary mental health services') in England. This information will be of particular interest to organisations involved in giving secondary mental health care to adults and older people, as it presents timely information to support discussions between providers and commissioners of services. The MHMDS Monthly Report now includes the ten nationally recommended quality and outcome indicators to support the implementation of currencies and payment in mental health. 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 psychiatric hospitals and subject to the Mental Health Act (MHA). Some of these measures are currently experimental analysis.
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This dataset has been discontinued and replaced with the Mental Health Services Monthly Statistics dataset, available at https://data.gov.uk/dataset/mental-health-services-monthly-statistics The Mental Health Minimum Data Set (MHMDS) was renamed Mental Health and Learning Disabilities Data Set (MHLDDS) following an expansion in scope (from September 2014) to include people in contact with learning disability services for the first time. This monthly statistical release makes available the most recent Mental Health Minimum Dataset (MHMDS) data from April 2013 onwards. Further analysis to support currencies and payment in adult and older people's mental health services was added to the publication of April 2014 final data which can be found in the related links below. These changes are described in the Methodological Change paper referenced below. As well as providing timely data, it presents a wide range of information about care given to users of NHS-funded, secondary mental health services for adults and older people ('secondary mental health services') in England. This information will be of particular interest to organisations involved in giving secondary mental health care to adults and older people, as it presents timely information to support discussions between providers and commissioners of services. The MHMDS Monthly Report now includes the ten nationally recommended quality and outcome indicators to support the implementation of currencies and payment in mental health. 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 psychiatric hospitals and subject to the Mental Health Act (MHA). Some of these measures are currently experimental analysis.
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Employment outcomes for disabled people in the UK aged 16 to 64 years, with analysis by age, sex, impairment type, country, region, type of occupation and working patterns using Annual Population Survey (APS) data.