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.

Analysis of ‘C1108 - Population Usually Resident and Present in the State and Percentage of Disabled Population’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/d66920bd-3947-4668-b520-5f7210ce848f on 16 January 2022.

--- Dataset description provided by original source is as follows ---

Population Usually Resident and Present in the State and Percentage of Disabled Population

--- Original source retains full ownership of the source dataset ---

BSR23 - 2002 Persons with a Disability as a Percentage of All Population. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).2002 Persons with a Disability as a Percentage of All Population...

C1131 - Population with a Disability and Percentage Living Alone in Private Households. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Population with a Disability and Percentage Living Alone in Private Households...

CD805 - Disabled Persons as a Percentage of Total Population. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Disabled Persons as a Percentage of Total Population...

Analysis of ‘CD805 - Disabled Persons as a Percentage of Total Population’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/db54e1d6-3f00-451c-99a3-a2ba18025cbb on 16 January 2022.

--- Dataset description provided by original source is as follows ---

Disabled Persons as a Percentage of Total Population

--- Original source retains full ownership of the source dataset ---

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.

Persons with a Disability as a Percentage of All Population by Age Group, Sex, CensusYear and Statistic

View data using web pages

Download .px file (Software required)

F4063 - Persons with a Disability to a great extent or lesser extent as a Percentage of the Population. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Persons with a Disability to a great extent or lesser extent as a Percentage of the Population...

Persons with a Disability as a Percentage of All Population by Age Group, CensusYear, Statistic and Sex

View data using web pages

Download .px file (Software required)

SSA Disability Claims Data: Overview and Analysis

Description

This dataset provides detailed fiscal year data on initial claims for Social Security Administration (SSA) disability benefits. It includes counts, rates, and percentages related to adult and child disability beneficiaries, determinations, and favorable outcomes across states and years.

Column Information

• Region Code, State Code, Date: Details of the region, state, and year of data.
• Population age 18-64, SSA Disability Beneficiaries age 18-64: Counts related to adult disability benefits.
• Percent of Adult Population Receiving SSA Adult Disability Benefits: Percentage of adults receiving benefits.
• Eligible Adult Population, Adult Receipts: Counts and rates related to adult claims.
• Favorable Adult Determinations, Adult Favorable Determination Rate: Outcome details for adult claims.
• Population under age 18, SSI Disabled Child (DC) Beneficiaries: Counts related to children receiving SSI benefits.
• Percent of Population under age 18 Receiving SSI DC Benefits: Percentage of children receiving benefits.
• Eligible Child Population, SSI Disabled Child (DC) Receipts: Counts and rates related to child claims.
• Favorable SSI Child (DC) Determinations, SSI Disabled Child Allowance Rate: Outcome details for child claims.
• All Determinations, All Favorable Determinations: Total counts and rates of all determinations and favorable outcomes.

The data allows for a deep dive into the demographic and regional variations in disability claims processing and outcomes, offering insights into trends and patterns over time.

C1108 - Population Usually Resident and Present in the State and Percentage of Disabled Population. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Population Usually Resident and Present in the State and Percentage of Disabled Population...

Labour market status of disabled people, UK, published quarterly, non-seasonally adjusted. Labour Force Survey. These are official statistics in development.

Series Name: [ILO] Proportion of population with severe disabilities receiving disability cash benefit by sex (percent)Series Code: SI_COV_DISABRelease Version: 2021.Q2.G.03 This dataset is part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 1.3.1: Proportion of population covered by social protection floors/systems, by sex, distinguishing children, unemployed persons, older persons, persons with disabilities, pregnant women, newborns, work-injury victims and the poor and the vulnerableTarget 1.3: Implement nationally appropriate social protection systems and measures for all, including floors, and by 2030 achieve substantial coverage of the poor and the vulnerableGoal 1: End poverty in all its forms everywhereFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

F4001 - Persons with a Disability as a Percentage of All Population. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Persons with a Disability as a Percentage of All Population...

Differences in the number and proportion of persons with and without disabilities, aged 15 years and over, by census metropolitan areas.

Analysis of ‘C1130 – Population with a Disability and percentage Living Alone in Private Households ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/e5e53f58-6f41-40fa-8705-f9714f1513dd on 13 January 2022.

--- Dataset description provided by original source is as follows ---

Population with a Disability and percentage Living Alone in Private Households

--- Original source retains full ownership of the source dataset ---

This layer shows disability status by sex and age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of elderly (65+) with a disability. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B18101Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe 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. For more information about ACS layers, visit the FAQ. 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:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.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 2023 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.

This layer shows six different types of disability. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer is symbolized to show the percent of population with a disability. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.Layer includes percent of population with a disability categorized as:an independent living difficultya hearing difficultyan ambulatory difficultya vision difficultya cognitive difficultya selfcare difficultyA ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2017-2021ACS Table(s): S1810 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Data Preparation: Data table downloaded and joined with Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 8, 2022National Figures: data.census.gov

Analysis of ‘CSR25 - Persons with a Disability as a Percentage of All Population’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/64665263-aef7-4add-9585-515b839dd7d4 on 19 January 2022.

--- Dataset description provided by original source is as follows ---

Persons with a Disability as a Percentage of All Population

--- Original source retains full ownership of the source dataset ---