The 1970 British Cohort Study (BCS70) is following the lives of around 17,000 people born in England, Scotland and Wales in a single week of 1970.

Over the course of participants’ lives, BCS70 has collected information on health, physical, educational and social development, and economic circumstances among other factors.

BCS70 is core funded by the Economic and Social Research Council.

If you are a BCS70 participant, please visit the BCS70 website.

Sweeps

Data are available from 12 main sweeps of BCS70. Click on a sweep below for full details, questionnaires and other documentation

Latest from BCS70

About BCS70

Introduction to BCS70

This essential webinar gives first-time users and researchers less familiar with the 1970 British Cohort Study (BCS70) an insight into this invaluable longitudinal cohort dataset.

Runtime 1:12:46

Sample design

BCS70 follows the lives of all people born in England, Scotland and Wales in one particular week in 1970. During the birth sweep, information was collected about 16,568 babies born in England, Scotland and Wales.

Those born in Northern Ireland (a further 628) were included in the birth sweep, but were not followed up in any of the subsequent sweeps.

At ages five, 10 and 16, the sample was augmented with those who had been born overseas in the relevant week and subsequently moved to Great Britain. This resulted in 79 new recruits at age five, 294 at age 10 and 65 at 16.

Cohort profile

There are two BCS70 cohort profiles. The first one covers the period from 1970–2004.

Elliott, J. and Shepherd, P. (2006). ‘Cohort Profile: 1970 British Birth Cohort (BCS70)’.
International Journal of Epidemiology, volume 35, issue 4, p836–843, doi: /10.1093/ije/dyl174.

Cohort profile

The second cohort profile covers the period from 2008–2021.

Sullivan, A., Brown, M., Hamer, M. and Ploubidis, G. (2022). ‘Cohort Profile Update: The 1970 British Cohort Study (BCS70)’. International Journal of Epidemiology, vol 52, issue 3, doi: /10.1093/ije/dyac148.

 

Response and missingness

?Find out more about the level of response for every sweep of BCS70, important predictors of non-response, and how to handle missing data in the study.

Explore and access the data

Explore the data

Find a range of tools and resources to help you explore BCS70 data at each sweep.

Access the main study data

Most BCS70 data are available for free via the UK Data Service [SN 200001]

Access specialised data

Some specialised data are available from other public data repositories or directly from CLS.

Special data

Cognitive ability

BCS70 has tracked cognitive ability and function across the life course. Find out more in CLOSER’s guide to the cognitive measures in BCS70 and four other cohort studies.

Covid-19 surveys

Data are available from three surveys carried out during the pandemic with BCS70 and four other cohort studies.

Genetic data and biological samples

?Genotyped data from over 5,500 BCS70 cohort members, obtained from biological samples collected at age 46, are available for research.

Geospatial data

A range of geospatial data can be linked to BCS70 survey data using cohort members’ location information. Examples include data on local amenities, such as green space or fast food restaurants, and information on pollution and the weather.

Linked health data

Researchers can access administrative health data linked to BCS70 survey data. These include Hospital Episode Statistics and information from Scottish Medical Records.

Substudies

In addition to the main BCS70 sweeps there have been a number of substudies:

Principal Investigator

George Ploubidis

George Ploubidis

Professor of Population Health and Statistics and Principal Investigator of the National Child Development Study and 1970 British Cohort Study

George is Professor of Population Health and Statistics at the UCL Social Research Institute and currently holds the posts of Principal Investigator of the National Child Development Study and 1970 British Cohort Study at the Centre for Longitudinal Studies. Prior to joining UCL he held posts at the London School of Hygiene and Tropical Medicine and the University of Cambridge. George is a multidisciplinary quantitative social scientist and a longitudinal population surveys methodologist. His main research interests relate to socioeconomic and demographic determinants of health over the life course and the mechanisms that underlie generational differences in health and mortality. His methodological work in longitudinal surveys focusses on applications for handling missing data, causal inference and measurement error.

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Contact us

Centre for Longitudinal Studies
UCL Social Research Institute

20 Bedford Way
London WC1H 0AL

Email: clsdata@ucl.ac.uk

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