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Series

Department of Health and Social Security and Department of Employment: Reasons for...

Catalogue reference: BN 93

What's it about?

BN 93

The Reasons for Retirement Dataset comprises data collected from a random sample, which was the result of a stratified random sample from a postal sift, of retired people and those who continued working after normal retiring age. It consisted of...

Full description and record details

Reference

BN 93

Title
Department of Health and Social Security and Department of Employment: Reasons for Retirement dataset
Date

1977-1982

Description

The Reasons for Retirement Dataset comprises data collected from a random sample, which was the result of a stratified random sample from a postal sift, of retired people and those who continued working after normal retiring age. It consisted of men aged 55-72 and women aged 50-72 in Great Britain. It included data on constraints on working after or just before normal retirement, and effects of various personal, policy and environmental factors on timing of retirement.

The datasets in this series are available to download. Links to individual datasets can be found at piece level.

Arrangement

The original hardware, Operating System, application software, and user interface are not known.

Logical structure and schema: The dataset was transferred to the Essex Data Archive in 1980 in ASCII on 9-track tape (labelled, fixed-length record text files of 80 characters, 10 records per block). The data was transferred to NDAD as four fixed length text files.

How data was originally captured and validated: Data was collected by means of face-to-face interview with the use of questionnaires.

The Reasons for Retirement dataset is closed in that once the data was entered it was archived and not subsequently overwritten by other data.

Held by
The National Archives, Kew
Former reference

CRDA/27

Legal status

Public Record(s)

Language

English

Creator(s)
Office of Population Censuses and Surveys, Social Survey Division, 1971-1996
Physical description

2 datasets and documentation

Restrictions on use

The Reasons for Retirement dataset and related dataset documentation are subject to Crown Copyright; copies may be made for private study and research purposes only.

Access conditions

Open

Immediate source of acquisition

In 2010 the United Kingdom National Digital Archive of Datasets

Subjects
Topics
Labour
Pay and pensions
Sex and gender
Custodial history

The dataset was transferred to the Essex Data Archive in 1980 in ASCII on 9-track tape (labelled, fixed-length record text files of 80 characters, 10 records per block). The dataset was then deposited at the Department of Social Policy and Administration at the Economic and Social Research Council Data Archive, University of Essex in 1982 by the Department of Health and Social Security and David Piachaud, London School of Economics and Political Science (LSE). The dataset was transferred to the United Kingdom National Digital Archive of Datasets (NDAD) who held it from 2000 until 2010 when it was transferred to The National Archives (TNA).

Accruals

No further accruals are expected.

Unpublished finding aids
Extent of documentation: 24 documents, Dates of creation of documentation: 1977-1982
Administrative / biographical background

The Reasons for Retirement Dataset was a study undertaken at the request of, and sponsored by, the Department of Health and Social Security (DHSS) and the Department of Employment (DE). The investigation was done by the Social Survey Division of the Office of Population Censuses and Surveys.

Copies information

The Reasons for Retirement dataset is also held at the UK Data Archive (http://www.data-archive.ac.uk/), and has been given the reference number 1134.

Record URL
https://beta.nationalarchives.gov.uk/catalogue/id/C15564/

Catalogue hierarchy

Over 27 million records

This record is held at The National Archives, Kew

32,007 records

Within the department: BN

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Department of Health and Social Security and Department of Employment: Reasons for Retirement dataset

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