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.

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

The measure shows the proportion of all adults (aged 18-64) with a learning disability who are known to the council, who are recorded as being in paid employment. The definition of individuals 'known to the council' is restricted to those adults with a learning disability (with a primary client group of LD) who have been assessed or reviewed by the council during the year (irrespective of whether or not they receive a service) or who should have been reviewed but were not. The measure is focused on 'paid' employment, to be clear that voluntary work is to be excluded for the purposes of this measure. Paid employment is measured using the following two categories: Working as a paid employee or self-employed (16 or more hours per week); and, Working as a paid employee or self-employed (up to 16 hours per week). A 'paid employee' is one who works for a company, community or voluntary organisation, council or other organisation and is earning at or above the National Minimum Wage. This includes those who are working in supported employment (i.e. those receiving support from a specialist agency to maintain their job) who are earning at or above the National Minimum Wage. 'Self-employed' is defined as those who work for themselves and generally pay their National Insurance themselves. This should also include those who are unpaid family workers (i.e. those who do unpaid work for a business they own or for a business a relative owns). In 2014/15 the change from ASC-CAR to SALT resulted in a change to who is included in the measure. Previously, this measure included 'all adults with a learning disability who are known to the council. However, SALT table LTS001a only captures those clients who have received a long-term service in the reporting year. Furthermore, the measure now only draws on the subset of these clients who have a primary support reason of Learning Disability Support; those clients who may previously have been included in the client group Learning Disability in ASC-CAR might not have a primary support reason of Learning Disability Support, and are now excluded from the measure. Only covers people receiving partly or wholly supported care from their Local Authority and not wholly private, self-funded care. Data source: SALT. Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Data on the level of employment in the United Kingdom (UK) civil service on August 26, 2020, by responsibility level and disability status, shows that as of this date there were over 14 thousand people with a disability working as administrative officers or assistants, the most of any responsibility level.

This statistic displays the number of people employed in social work activities without accommodation for the elderly and disabled in the period from 2008 to 2019 in the United Kingdom (UK). In the year 2019, the average number in employment during the year was *** thousand.

Prevalence and employment estimates for disabled and non-disabled people by different personal characteristics, UK, 2018.

This dataset contains disability pay gap estimates for all employees in London and the UK.

The disability pay gap is the difference in the average hourly wage of non-disabled employees and disabled employees across a workforce. If disabled employees do more of the less well paid jobs within an organisation than the non-disabled persons, the disablity pay gap is usually bigger.

This dataset is one of the Greater London Authority's measures of Economic Fairness. Click here to find out more.

Legal & Resources - Human Resources. Disability information for Environment Agency staff.

The Labour Market Indicators spreadsheet for boroughs and regions will no longer be updated from March 2015. The final version from March 2015 will still be available to download at the bottom of this page. Most of the data is available within datasets elsewhere on the Datastore.

Workforce Jobs
Unemployment
Model based Unemployment for Boroughs
Claimant Count rates for Boroughs and Wards
Employment Rate Trends
Employment rates by Gender, Age and Disability
Number of Self Employed, Full and Part Time Employed
Employment by Occupation
Employment by Industry
Employment, Unemployment, Economic Activity and Inactivity Rates by Disability
Employment by Ethnicity
Economic Inactivity by Gender and Reason
Qualifications of Economically Active, Employed and Unemployed
Qualification levels of working-age population
Apprenticeship Starts and Achievements
Young People Not in Employment, Education or Training (NEET), Borough
19 year olds Qualified to NVQ Level 3
GCE A level examination results of 16-18 year olds
GCSE Results by Pupil Characteristics
People Claiming Out-of-Work Benefits
People Claiming Incapacity Benefit
Children Living in Workless Households
Gross Value Added, and Gross Disposable Household Income
Earnings by place of residence
Earnings by place of work
Business Demographics
Employment projections by sector
Jobs Density
Population Estimates
Population Migration

Core Indicators

Number of London residents of working age in employment
Employment rate
Number of male London residents of working age in employment
Male employment rate
Number of female London residents of working age in employment
Female employment rate
Workforce jobs
Jobs density
Number of London residents of working age who are economically inactive
Economic inactivity rate
Number of London residents aged 16+ who are unemployed (model based)
Proportion of London residents aged 16+ who are unemployed (model based)
Claimant unemployment
Claimant Count as a proportion of the working age population
Incidence of skill gaps (Numbers and rates)
GCSE (5+ A*–C) attainment including English and Maths
Number of working age people in London with no qualifications
Proportion of working age people in London with no qualifications
Number of working age people in London with Level 4+ qualifications
Proportion of working age people in London with Level 4+ qualifications
Number of people of working age claiming out of work benefits
Proportion of the working age population who claim out of work benefits
Number of young people aged 16-18 who are not in

From 2009 to 2023, the number of nurses that work with people with learning disabilities and difficulties in the National Health Service (NHS) Hospitals and Community Health Services (HCHS) decreased in England. As of November 2023, just over three thousand nurses work with people with learning disabilities and difficulties.

Employment statistics on the Social Services for the Elderly & People with Disabilities industry in the UK

Abstract copyright UK Data Service and data collection copyright owner. The main questions adressed are: is computing an occupation which offers opportunities for the employment of persons handicapped by physical disability?; can specific opportunities or obstacles be identified and what strategies should be adapted to maximise the employment opportunities for disabled people? Main Topics: Variables Problems encountered by disabled people currently working in computing, their educational and disability details and types of computing occupation Details of employers of computing personnel in general, the posts which disabled people held in computing, employers' views of trends for job requirements and their bias for/against disabled people. (The National Computer Council also carried out in depth case studies of a small number of disabled computer professionals. These surveys have not yet been published) No sampling (total universe) Simple random sample All professionals registered with the National Computing Centre (NCC) and the British Computer Association for the Blind (BCB) were surveyed. A simple random sample of employers was drawn from the NCC mailing list, with a bias towards the north west (500 from the north west, 500 from the rest of Great Britain).

The Labour Market Indicators spreadsheet for boroughs and regions will no longer be updated from March 2015. The final version from March 2015 will still be available to download at the bottom of this page. Most of the data is available within datasets elsewhere on the Datastore.

Workforce Jobs
Unemployment
Model based Unemployment for Boroughs
Claimant Count rates for Boroughs and Wards
Employment Rate Trends
Employment rates by Gender, Age and Disability
Number of Self Employed, Full and Part Time Employed
Employment by Occupation
Employment by Industry
Employment, Unemployment, Economic Activity and Inactivity Rates by Disability
Employment by Ethnicity
Economic Inactivity by Gender and Reason
Qualifications of Economically Active, Employed and Unemployed
Qualification levels of working-age population
Apprenticeship Starts and Achievements
Young People Not in Employment, Education or Training (NEET), Borough
19 year olds Qualified to NVQ Level 3
GCE A level examination results of 16-18 year olds
GCSE Results by Pupil Characteristics
People Claiming Out-of-Work Benefits
People Claiming Incapacity Benefit
Children Living in Workless Households
Gross Value Added, and Gross Disposable Household Income
Earnings by place of residence
Earnings by place of work
Business Demographics
Employment projections by sector
Jobs Density
Population Estimates
Population Migration

Core Indicators

Number of London residents of working age in employment
Employment rate
Number of male London residents of working age in employment
Male employment rate
Number of female London residents of working age in employment
Female employment rate
Workforce jobs
Jobs density
Number

This data contains 108 responses to the disability version of the Implicit Association Test (IAT) and a subsample of 50 responses to the age version of the IAT. It also contains associated demographic and employment information as well as the Health-Related Quality of Life survey EQ-5D-5L.This project explores implicit bias in the workplace towards disabled people and older people in the (predominantly small) business community in Cornwall, UK using a validated measure of implicit bias known as the Implicit Association Test. This data was collected using an online survey. Recruitment for the study was done through existing business networks, in particular Cornwall Chamber of Commerce and Cornwall and Isles of Scilly Local Enterprise Partnership (the latter of which is a project partner). This involved the use of mailing lists and pieces on their websites. The study was also promoted at a number of business facing events (business 'breakfasts', webinars and other events, etc.). As such, the primary target population for the study was the local Cornish business community. People who are H.R. professionals or otherwise who are involved in making hiring decisions were particularly encouraged to participate and this is reflected in our final sample. In total, 108 participants completed the study (of which 50 did the age IAT as well). The sample is approximately evenly split between a) people in Cornwall and people in other parts of the UK b) people who work for large (250+ employee) companies and people who for Small- to Medium-sized Enterprises (SME, less than 250 employees) c) people are H.R. professionals or are involved in making hiring decisions.