Sources of data for settlement level analyses in sparsely populated areas

Paul Peters, Andrew Taylor, Dean B. Carson, Huw Brokensha

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

    Abstract

    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, d as well as for population sub- groups. Such datasets, which include national g 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 g eography and for population sub- groups, in particular for those residing g in sparsely populated areas (SPAs) and Indigenous peoples (Axelsson, 2010; Taylor et al., 2011). Despite the intense application of census data for research aimed at plotting and understanding demographic change for settlements in SPAs, in recent years cutbacks to the budgets of NSAs have placed the frequencies of censuses, their content and their comprehensiveness under threat in many nations. Changed methods and output characteristics have also affected the utility of this important data source for research purposes in some cases (Coleman, 2013; Kukutai et al., 2014). The implications of these changes are disproportionately large for analysis relating to SPA populations, making the need for alternative data sources and methods more apparent. In this chapter...
    Original languageEnglish
    Title of host publicationSettlements at the Edge:
    Subtitle of host publicationRemote Human Settlements in Developed Nations
    EditorsAndrew Taylor, Dean B. Carson, Prescott C. Ensign, Lee Huskey, Rasmus O. Rasmussen, Gertrude Saxinger
    Place of PublicationCheltenham, UK
    PublisherEdward Elgar Publishing
    Chapter7
    Pages153-177
    Number of pages25
    ISBN (Electronic)9781784711962
    ISBN (Print)9781784711955
    DOIs
    Publication statusPublished - 30 Sep 2016

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    census
    population development
    gold standard
    demography
    health
    budget
    Group
    social science
    threat

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    Peters, P., Taylor, A., Carson, D. B., & Brokensha, H. (2016). Sources of data for settlement level analyses in sparsely populated areas. In A. Taylor, D. B. Carson, P. C. Ensign, L. Huskey, R. O. Rasmussen, & G. Saxinger (Eds.), Settlements at the Edge: Remote Human Settlements in Developed Nations (pp. 153-177). Cheltenham, UK: Edward Elgar Publishing. https://doi.org/10.4337/9781784711962.00015
    Peters, Paul ; Taylor, Andrew ; Carson, Dean B. ; Brokensha, Huw. / Sources of data for settlement level analyses in sparsely populated areas. Settlements at the Edge: Remote Human Settlements in Developed Nations. editor / Andrew Taylor ; Dean B. Carson ; Prescott C. Ensign ; Lee Huskey ; Rasmus O. Rasmussen ; Gertrude Saxinger. Cheltenham, UK : Edward Elgar Publishing, 2016. pp. 153-177
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    abstract = "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, d as well as for population sub- groups. Such datasets, which include national g 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 g eography and for population sub- groups, in particular for those residing g in sparsely populated areas (SPAs) and Indigenous peoples (Axelsson, 2010; Taylor et al., 2011). Despite the intense application of census data for research aimed at plotting and understanding demographic change for settlements in SPAs, in recent years cutbacks to the budgets of NSAs have placed the frequencies of censuses, their content and their comprehensiveness under threat in many nations. Changed methods and output characteristics have also affected the utility of this important data source for research purposes in some cases (Coleman, 2013; Kukutai et al., 2014). The implications of these changes are disproportionately large for analysis relating to SPA populations, making the need for alternative data sources and methods more apparent. In this chapter...",
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    Peters, P, Taylor, A, Carson, DB & Brokensha, H 2016, Sources of data for settlement level analyses in sparsely populated areas. in A Taylor, DB Carson, PC Ensign, L Huskey, RO Rasmussen & G Saxinger (eds), Settlements at the Edge: Remote Human Settlements in Developed Nations. Edward Elgar Publishing, Cheltenham, UK, pp. 153-177. https://doi.org/10.4337/9781784711962.00015

    Sources of data for settlement level analyses in sparsely populated areas. / Peters, Paul; Taylor, Andrew; Carson, Dean B.; Brokensha, Huw.

    Settlements at the Edge: Remote Human Settlements in Developed Nations. ed. / Andrew Taylor; Dean B. Carson; Prescott C. Ensign; Lee Huskey; Rasmus O. Rasmussen; Gertrude Saxinger. Cheltenham, UK : Edward Elgar Publishing, 2016. p. 153-177.

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

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    Peters P, Taylor A, Carson DB, Brokensha H. Sources of data for settlement level analyses in sparsely populated areas. In Taylor A, Carson DB, Ensign PC, Huskey L, Rasmussen RO, Saxinger G, editors, Settlements at the Edge: Remote Human Settlements in Developed Nations. Cheltenham, UK: Edward Elgar Publishing. 2016. p. 153-177 https://doi.org/10.4337/9781784711962.00015