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Indexing the Census

A by-Product of the Simulation of Whole Populations by Means of SAS and SAR Data

Bibliographic Data

ID22907207
AuthorsPaul Williamson (0000-0002-5243-4324, University of Leeds), Philip Rees (0000-0002-4276-9091, University of Leeds), M Birkin (0000-0001-5991-098X, University of Leeds)
Year1995
Volume27
Issue3
Pages413-424
Publication date1995-03-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1068/a270413
PMID12346251
OpenAlexW1966816170
LanguageEN
Citations received1
References cited1

Amongst the new output formats adopted for the 1991 Census were the Small Area and Local Base Statistics tables and the Samples of Anonymised Records. During an attempt to combine these data sources to estimate whole populations, a need was recognised for a computer algorithm to aggregate SAR data flexibly into LBS and SAS table look-alikes. This paper is a report on progress in the development of such an algorithm, including the concomitant development of a meta-database of census tables and variables required as an input to the algorithm. Out of this work a user-friendly, freely disseminable version of the census meta-database has been created, of interest to all census users.

Aggregate (composite) · American Community Survey · Census · Data mining · Database · Geography · Information retrieval · Population · Product (mathematics) · Search engine indexing · Table (database) · Computer Science · Demography · Mathematics · Nutritional Studies and Diet · SAS software applications and methods

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Citations per year1
Highly citedNo
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