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Riksdagsvalet 2010: En GIS-analys
Umeå University, Faculty of Social Sciences, Department of Geography and Economic History, Economic and social geography.
2014 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Our social lives and where we live shape our choices in life. One of those choices is which party we vote for in the general election. The aim of this thesis is to see if there are any connections between the Swedish general election of 2010, demography, socioeconomic factors and geography. This is done with regression analysis and chosen variables. Another aim is to see where in Sweden the chosen variables aren’t enough to explain the results of the election. The final aim is to examine if there are any differences within municipalities and their electoral areas. The results show that there are several connections between the chosen variables and the results of the election. The most pronounced connection is a positive correlation with the level of education and a negative correlation with unemployment and distance to a major city. There are also several municipalities and their election results that the regression is unable to predict. The examination of the municipalities and their electoral areas shows that there seems to be a bigger difference between the electoral areas in a municipality with many electoral areas.

Abstract [sv]

Hur vi lever socialt och var vi bor formar oss och de val vi gör i livet. Ett av de val vi gör är att välja hur vi röstar i riksdagsvalet. Syftet med denna uppsats är att se om det finns ett samband mellan Sveriges riksdagsval år 2010, demografi, socioekonomi och geografi. Detta görs genom regressioner med utvalda variabler. Vidare är syftet också att se var i Sverige de valda variablerna inte räcker till för att förklara valresultatet. Slutligen studeras också om det finns skillnader inom kommuner och dess valdistrikt. Resultatet visar att det finns flera samband mellan variablerna och valresultatet. De tydligaste sambanden är en positiv korrelation med utbildningsnivå och en negativ korrelation med arbetslöshet och avstånd till storstad. Det finns också kommuner och dess valresultat som regressionen inte lyckas förklara. Undersökningen av kommunerna och dess valdistrikt visar att det verkar vara större skillnad mellan valdistrikten i en kommun med många valdistrikt.

Place, publisher, year, edition, pages
2014. , 67 p.
Keyword [sv]
Riksdagsvalet, Demografi, Geografi, Socioekonomi, Regression, Utbildning, Arbetslöshet, Inkomst, Medelålder
National Category
Human Geography
Identifiers
URN: urn:nbn:se:umu:diva-89715OAI: oai:DiVA.org:umu-89715DiVA: diva2:723257
Subject / course
Examensarbete i Geografi, för kandidatexamen
Educational program
Programme in Urban and Regional Planning
Supervisors
Examiners
Available from: 2014-06-11 Created: 2014-06-10 Last updated: 2014-06-26Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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