Improving population censuses around the world
Improving population censuses around the world
Population censuses provide a wide range of detailed information, but are expensive and infrequent. Some more frequent information can be obtained using administrative data sources, which can also be combined with some directly collected information. This combination of sources requires new approaches to produce objective census estimates. We apply methods to deal with undercoverage and overcoverage in administrative data in different contexts, and to examine the quality of population estimates based on administrative data sources, based on the application of dual and multiple system estimation. We also apply novel design methods to the traditional census operation in the UK.
285-290
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
van der Heijden, Peter G.M.
85157917-3b33-4683-81be-713f987fd612
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649
23 April 2025
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
van der Heijden, Peter G.M.
85157917-3b33-4683-81be-713f987fd612
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649
Smith, Paul A., van der Heijden, Peter G.M. and Zhang, Li-Chun
(2025)
Improving population censuses around the world.
In,
Aston, Philip J.
(ed.)
More UK Success Stories in Industrial Mathematics.
(Mathematics in Industry, 42)
Springer Cham, .
(doi:10.1007/978-3-031-48683-8_36).
Record type:
Book Section
Abstract
Population censuses provide a wide range of detailed information, but are expensive and infrequent. Some more frequent information can be obtained using administrative data sources, which can also be combined with some directly collected information. This combination of sources requires new approaches to produce objective census estimates. We apply methods to deal with undercoverage and overcoverage in administrative data in different contexts, and to examine the quality of population estimates based on administrative data sources, based on the application of dual and multiple system estimation. We also apply novel design methods to the traditional census operation in the UK.
Text
Census_impact_book_chapter AAM
- Accepted Manuscript
Restricted to Repository staff only
Request a copy
Text
Census_impact_book_chapter AAM
- Other
Restricted to Repository staff only
Request a copy
More information
Accepted/In Press date: 7 October 2022
Published date: 23 April 2025
Identifiers
Local EPrints ID: 481914
URI: http://eprints.soton.ac.uk/id/eprint/481914
PURE UUID: 61c3cd4a-170c-4ecd-ad65-913fff278ee0
Catalogue record
Date deposited: 13 Sep 2023 16:30
Last modified: 21 Aug 2025 02:14
Export record
Altmetrics
Contributors
Editor:
Philip J. Aston
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
