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Sources of data for settlement level analyses in sparsely populated areas

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posted on 23.06.2022, 05:12 authored by P Peters, A Taylor, Dean CarsonDean Carson, H Brokensha

Research in areas such as demography, social sciences and population health normally utilise secondary population data sources to address key questions. Large and nationally representative datasets are usually the sources for such analyses. These datasets have allowed for broader generalisations to be drawn and in-depth analysis of  changes at settlements level, as well as for population sub-groups. Such datasets, which include national censuses and survey programmes, are administered by national statistical agencies (NSAs) covering topics like demographic characteristics, employment and health. While large and nationally representative datasets are considered the 'gold standard' for research, it is recognised they have limitations for understanding demographic change at small scales of geography and for population sub-groups, in particular for those residing in sparsely populated areas (SPAs) and Indigenous peoples (Axelsson, 2010; Taylor et al., 2011).

History

Editor

Taylor A; Carson DB; Ensign PC; Huskey L; Rasmussen RO; Saxinger G

Start Page

153

End Page

177

Number of Pages

25

ISBN-13

9781784711955

Publisher

Edward Elgar

Place of Publication

Cheltenham, UK

Open Access

No

External Author Affiliations

University of New Brunswick; Australian Bureau of Statistics; Charles Darwin University

Author Research Institute

Centre for Regional Economics and Supply Chain (RESC)

Era Eligible

Yes

Medium

Electronic

Chapter Number

7

Number of Chapters

19

Parent Title

Settlements at the edge: Remote human settlements in developed nations

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