Pensioners' Incomes, 2007/08-2022/23: Secure Access

DOI

Abstract copyright UK Data Service and data collection copyright owner.Pensioners' Incomes (PI) contains estimates of the levels, sources and distribution of pensioners' incomes. It also examines the position of single pensioners and pensioner couples, including any dependent children, within the income distribution of the population as a whole. This differs from Households Below Average Income (HBAI) (see SNs 5828 and 7196), where analysis is on a household basis, and includes the income of adults not in the pensioner unit but living in the same household. The PI undertakes a few extra steps beyond the FRS and HBAI data to derive pension income variables.The PI series is a key source of information used to inform Government thinking on relevant policies and related programmes and projects. Researchers and analysts outside the government use statistics and data to examine topics such as ageing, the distributional impacts of fiscal policies, and pensioner groups' income profiles. The PI estimates are usually based on a sample of around 7,000 adults over State Pension age, who reside in private households in the United Kingdom, taken from the Family Resources Survey (FRS). The gov.uk Pensioners' Incomes Statistics webpage contains annual reports, accompanying tables, research, and technical papers.PI data are also available from 1994/95 onwards via the Department for Work and Pensions (DWP) Stat-Xplore online tool.Secure Access PI dataThe Secure Access version of the PI series (SN 9257) is available from 2007/08 onwards, whereas the standard End User Licence (EUL) data (SN 8503) are available from 2008/09. Unlike the EUL versions, the ages of the head of household and spouse have not been top-coded at 80 years in the Secure Access version. Prospective users of the Secure Access version must fulfil additional requirements beyond those associated with the EUL datasets. The Secure Access version of FRS is held under SN 9256, and the Secure Access version of HBAI is available under SN 7196. 

Main Topics:Variables cover household and demographic information, with incomes from a range of sources (pensions, benefits, savings and investments, and any earnings from work).

Derived pension income variables

Multi-stage stratified random sample

Compilation/Synthesis

Identifier
DOI https://doi.org/10.5255/UKDA-SN-9257-1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=4480e2c44c0258afd7ea0c45f18c5545f62b17649ad62049fac0edd6aa8a8031
Provenance
Creator Office for National Statistics, Social and Vital Statistics Division; NatCen Social Research; Department for Work and Pensions
Publisher UK Data Service
Publication Year 2024
Funding Reference Department for Work and Pensions
Rights <a href="https://www.nationalarchives.gov.uk/information-management/re-using-public-sector-information/uk-government-licensing-framework/crown-copyright/" target="_blank">© Crown copyright</a>. The use of these data is subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">UK Data Service End User Licence Agreement</a>. Additional restrictions may also apply.; <p>The Data Collection is available to UK Data Service registered users subject to the&nbsp;<a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p><p>Commercial use is not permitted.</p><p>Use of the data requires approval from the data owner or their nominee. Users must apply for access via a Secure Access application.</p><p>Registered users must complete the Safe Researcher Training course and gain&nbsp;<a href="https://www.statisticsauthority.gov.uk/about-the-authority/better-useofdata-statistics-and-research/betterdataaccess-research/better-useofdata-for-research-information-for-researchers/" target="_blank">DEA Accredited Researcher Status</a>.<br></p><p>Additional condition of use: Baseline Personnel Security Standard Check</p><p>Accessing data from the Department for Work and Pensions through the UK Data Archive’s SecureLab requires a Baseline Personnel Security Standard (BPSS) check.&nbsp;</p><p><span style="font-family: Arial, sans-serif;">For further guidance on BPSS please visit the <a href="https://www.gov.uk/government/publications/government-baseline-personnel-security-standard" target="_blank">Government baseline personnel security standard guidelines</a></span><span style="font-family: Arial, sans-serif;"><a href="https://www.gov.uk/government/publications/government-baseline-personnel-security-standard" target="_blank">.</a> Although this guidance is primarily for the Civil Service, Armed Forces and Government contractors, it applies equally to researchers accessing data via the UK Data Archive, UK Data Service.</span></p><p>A suitable officer at your institution must confirm that the following four elements have been verified:<br></p><ul><li>Identity</li><li>Employment History (for a minimum of the past 3 years)</li><li>Nationality and Immigration Status</li><li>Criminal Record (unspent convictions only).</li></ul><p><span style="font-family: Arial, sans-serif;">Confirmation of the BPSS check must be received in writing. The UK Data Archive has prepared a&nbsp;<a href="https://ukdataservice.ac.uk/app/uploads/dwp_bpss_requirement_v1.0.docx">template letter</a>&nbsp;that can be used by an officer at your institution to confirm the required BPSS information.</span><br></p><p class="MsoNormal">We are unable to process applications that are not accompanied by this confirmation.&nbsp;</p><p>Additional condition of use: Suppression Threshold</p><p>No cell in any published table should contain or be based on frequencies of less than 30 in line with the suppression threshold applied by the Chief Statistician as reported in the&nbsp;<a href="https://www.gov.uk/government/statistics/family-resources-survey-financial-year-2020-to-2021/family-resources-survey-background-information-and-methodology">Family Resources Survey: background information and methodology document</a>.</p>
OpenAccess true
Representation
Resource Type Numeric
Discipline Economics; Social and Behavioural Sciences
Spatial Coverage United Kingdom