Combining census, survey, demographic and administrative data to produce a one number census

Chambers, Ray, Cruddas, Marie and Diamond, Ian (1999) Combining census, survey, demographic and administrative data to produce a one number census In Symposium 99 - Combining Data from Different Sources: Proceedings. Statistics Canada..


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The focus of Symposium'99 is on techniques and methods for combining data from different sources and on analysis of the resulting data sets. In this talk we illustrate the usefulness of taking such an "integrating" approach when tackling a complex statistical problem. The problem itself is easily described - it is how to approximate, as closely as possible, a "perfect census", and in particular, how to obtain census counts that are "free" of underenumeration. Typically, underenumeration is estimated by carrying out a post enumeration survey (PES) following the census. In the UK in 1991 the PEF failed to identify the full size of the underenumeration and so demographic methods were used to estimate the extent of the undercount. The problems with the "traditional" PES approach in 1991 resulted in a joint research project between the Office for National Statistics and the Department of Social Statistics at the University of Southampton aimed at developing a methodology which will allow a "One Number Census" in the UK in 2001. That is, underenumeration will be accounted for not just at high levels of aggregation, but right down to the lowest levels at which census tabulations are produced. In this way all census outputs will be internally consistent, adding to the national population estimates. The basis of this methodology is the integration of information from a number of data sources in order to achieve this "One Number".

Item Type: Conference or Workshop Item (Paper)
Venue - Dates: Symposium 99 - Combining Data from Different Sources, 1999-05-05 - 1999-05-07
Related URLs:
Keywords: administrative data, census of population, demographic statistics, households, imputation (statistics), survey methodology, surveys
ePrint ID: 34167
Date :
Date Event
May 1999Published
Date Deposited: 14 Feb 2008
Last Modified: 16 Apr 2017 22:13
Further Information:Google Scholar

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