Frameworks for Guiding the Development and Improvement of Population Statistics in the United Kingdom
Raymer James (),
Rees Phil () and
Blake Ann ()
Additional contact information
Raymer James: Australian National University, School of Demography, ANU College of Arts and Social Sciences, 9 Fellows Road, Acton Act 2601, Australia.
Rees Phil: University of Leeds, School of Geography, University Road, Leeds, West Yorkshire LS2 9JZ, UK.
Blake Ann: Office for National Statistics, Segensworth Road, Fareham, Hampshire PO15 5RR, UK.
Journal of Official Statistics, 2015, vol. 31, issue 4, 699-722
Abstract:
The article presents central frameworks for guiding the development and improvement of population statistics. A shared understanding between producers and users of statistics is needed with regard to the concepts, data, processes, and outputs produced. In the United Kingdom, population estimates are produced by conducting decennial censuses and by estimating intercensus populations through the addition and subtraction of the demographic components of change derived from registers of vital events and from a combination of administrative data and surveys for internal and international migration. In addition, data cleaning, imputation, and modelling may be required to produce the desired population statistics. The frameworks presented in this paper are useful for aligning the required concepts of population statistics with the various sources of available data. Taken together, they provide a general ‘recipe’ for the continued improvement and expansion of official statistics on population and demographic change.
Keywords: Population statistics; frameworks; data sets (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/jos-2015-0041 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:31:y:2015:i:4:p:699-722:n:9
DOI: 10.1515/jos-2015-0041
Access Statistics for this article
Journal of Official Statistics is currently edited by Annica Isaksson and Ingegerd Jansson
More articles in Journal of Official Statistics from Sciendo
Bibliographic data for series maintained by Peter Golla ().