The University of Southampton
University of Southampton Institutional Repository

Estimating the 2011 total fertility rate for England & Wales and Scotland using alternative data sources

Estimating the 2011 total fertility rate for England & Wales and Scotland using alternative data sources
Estimating the 2011 total fertility rate for England & Wales and Scotland using alternative data sources
It is important to estimate fertility rates as accurately as possible in order to make appropriate comparisons of fertility levels across time and space and to inform fertility projections. This paper compares estimates of the 2011 total fertility rate (TFR) for all, UK-born and non-UKborn women in England & Wales and Scotland, obtained using several data sources. The three data sources we use are vital registration (VR) data, longitudinal studies (linked census and vital events data) and census household microdata samples from the respective countries.  
Although estimates based on VR data are classed as official, the event and risk population information come from different sources. Surveys and census data do not suffer from this issue, but their analysis requires decisions regarding the selection of the sample and how to deal with exits and entries to the UK. We find:
• TFR estimates from the census microdata tend to be closest to those from VR data, particularly for Scotland. For England & Wales, the census estimates are lower than those from VR data, especially for non-UK-born women.
• The longitudinal study estimates are the lowest among the three data sources for Scotland, while for England & Wales they are lower or higher than the corresponding VR estimate with this generally depending on the precise estimation method used.
• Overall, this study finds some small variation in the TFR estimates from these different sources, owing to their contrasting coverage, mode of collection and sample size.
• The reasonable consistency of the census-linked data and the census household microdata with the VR estimates shows that they are an important source of information which allows the examination of subgroup differences in childbearing behaviour.
106
ESRC Centre for Population Change
Ellison, Joanne
d1560ac9-2c6c-49e8-b5c4-aa2258624e97
Kuang, Bernice
0d9a40c9-11d3-463e-8b1a-ce0c9880485d
Christison, Sarah
be67f642-5089-4548-a44a-c0fd3a8fd8e7
Berrington, Ann
bd0fc093-310d-4236-8126-ca0c7eb9ddde
Kulu, Hill
c0aa7014-c995-4bc1-878c-9ff326e4efde
Ellison, Joanne
d1560ac9-2c6c-49e8-b5c4-aa2258624e97
Kuang, Bernice
0d9a40c9-11d3-463e-8b1a-ce0c9880485d
Christison, Sarah
be67f642-5089-4548-a44a-c0fd3a8fd8e7
Berrington, Ann
bd0fc093-310d-4236-8126-ca0c7eb9ddde
Kulu, Hill
c0aa7014-c995-4bc1-878c-9ff326e4efde

Ellison, Joanne, Kuang, Bernice, Christison, Sarah, Berrington, Ann and Kulu, Hill (2023) Estimating the 2011 total fertility rate for England & Wales and Scotland using alternative data sources (ESRC Centre for Population Change Connecting Generations Working Paper, 106) ESRC Centre for Population Change 21pp.

Record type: Monograph (Working Paper)

Abstract

It is important to estimate fertility rates as accurately as possible in order to make appropriate comparisons of fertility levels across time and space and to inform fertility projections. This paper compares estimates of the 2011 total fertility rate (TFR) for all, UK-born and non-UKborn women in England & Wales and Scotland, obtained using several data sources. The three data sources we use are vital registration (VR) data, longitudinal studies (linked census and vital events data) and census household microdata samples from the respective countries.  
Although estimates based on VR data are classed as official, the event and risk population information come from different sources. Surveys and census data do not suffer from this issue, but their analysis requires decisions regarding the selection of the sample and how to deal with exits and entries to the UK. We find:
• TFR estimates from the census microdata tend to be closest to those from VR data, particularly for Scotland. For England & Wales, the census estimates are lower than those from VR data, especially for non-UK-born women.
• The longitudinal study estimates are the lowest among the three data sources for Scotland, while for England & Wales they are lower or higher than the corresponding VR estimate with this generally depending on the precise estimation method used.
• Overall, this study finds some small variation in the TFR estimates from these different sources, owing to their contrasting coverage, mode of collection and sample size.
• The reasonable consistency of the census-linked data and the census household microdata with the VR estimates shows that they are an important source of information which allows the examination of subgroup differences in childbearing behaviour.

This record has no associated files available for download.

More information

Published date: 28 September 2023
Additional Information: Copyright: Joanne Ellison, Bernice Kuang, Sarah Christison, Ann Berrington, Hill Kulu all rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including copyright notice, is given to the source.

Identifiers

Local EPrints ID: 482865
URI: http://eprints.soton.ac.uk/id/eprint/482865
PURE UUID: 03b8e05c-f911-4dcd-9a67-b61eae37186d
ORCID for Joanne Ellison: ORCID iD orcid.org/0000-0002-6973-8797
ORCID for Ann Berrington: ORCID iD orcid.org/0000-0002-1683-6668

Catalogue record

Date deposited: 16 Oct 2023 16:31
Last modified: 21 Nov 2024 03:01

Export record

Contributors

Author: Joanne Ellison ORCID iD
Author: Bernice Kuang
Author: Sarah Christison
Author: Ann Berrington ORCID iD
Author: Hill Kulu

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×