Landsbygdskommunernas obalanserade bostadsbestånd : En bostadsbeståndsundersökning av Dorotea,Vilhelmina, Storuman och Sorsele kommun
The rural inland municipalities of northern Sweden have undergone a massive social,economic, and demographic restructuring over the past few decades which has resulted in a diverse settlement pattern. While little attention is paid to those municipalities, it is interesting to find out how these cha...
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Format: | Bachelor Thesis |
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Umeå universitet, Institutionen för geografi
2020
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ftumeauniv:oai:DiVA.org:umu-172010 2023-10-09T21:54:33+02:00 Landsbygdskommunernas obalanserade bostadsbestånd : En bostadsbeståndsundersökning av Dorotea,Vilhelmina, Storuman och Sorsele kommun The unbalanced housing stock of rural municipalities : A housing stock investigation of Dorotea, Vilhelmina, Storuman and Sorsele municipalities housing stock. Gheorghita, Daniel 2020 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172010 swe swe Umeå universitet, Institutionen för geografi http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172010 info:eu-repo/semantics/openAccess rural housing stock depopulating rural areas municipal housing supply Social Sciences Samhällsvetenskap Human Geography Kulturgeografi Student thesis info:eu-repo/semantics/bachelorThesis text 2020 ftumeauniv 2023-09-22T13:59:57Z The rural inland municipalities of northern Sweden have undergone a massive social,economic, and demographic restructuring over the past few decades which has resulted in a diverse settlement pattern. While little attention is paid to those municipalities, it is interesting to find out how these changes affected the housing stock in this rural area.Therefore, the purpose of this study has been to show what the housing stock looks like in Dorotea, Vilhelmina, Storuman and Sorsele municipalities, in the western inland of Västerbotten County and how those municipalities work with this question in their planning strategy. The study was conducted by using both univariate analysis and documentary content analysis in a mixed methods research. The housing stock in these municipalities of northern inland Sweden has a similar structure, characterised by a high degree of single-detached houses and a very low degree of tenancy and small dwellings. Nonetheless there are a few attributes which differ between the housing stock of the four municipalities. The municipalities show awareness about the problems in theirs housing stock, but the resources for dealing with those problems are limited. Bachelor Thesis Northern Sweden Umeå University: Publications (DiVA) Sorsele ENVELOPE(17.537,17.537,65.535,65.535) Sorsele Kommun ENVELOPE(16.750,16.750,65.750,65.750) |
institution |
Open Polar |
collection |
Umeå University: Publications (DiVA) |
op_collection_id |
ftumeauniv |
language |
Swedish |
topic |
rural housing stock depopulating rural areas municipal housing supply Social Sciences Samhällsvetenskap Human Geography Kulturgeografi |
spellingShingle |
rural housing stock depopulating rural areas municipal housing supply Social Sciences Samhällsvetenskap Human Geography Kulturgeografi Gheorghita, Daniel Landsbygdskommunernas obalanserade bostadsbestånd : En bostadsbeståndsundersökning av Dorotea,Vilhelmina, Storuman och Sorsele kommun |
topic_facet |
rural housing stock depopulating rural areas municipal housing supply Social Sciences Samhällsvetenskap Human Geography Kulturgeografi |
description |
The rural inland municipalities of northern Sweden have undergone a massive social,economic, and demographic restructuring over the past few decades which has resulted in a diverse settlement pattern. While little attention is paid to those municipalities, it is interesting to find out how these changes affected the housing stock in this rural area.Therefore, the purpose of this study has been to show what the housing stock looks like in Dorotea, Vilhelmina, Storuman and Sorsele municipalities, in the western inland of Västerbotten County and how those municipalities work with this question in their planning strategy. The study was conducted by using both univariate analysis and documentary content analysis in a mixed methods research. The housing stock in these municipalities of northern inland Sweden has a similar structure, characterised by a high degree of single-detached houses and a very low degree of tenancy and small dwellings. Nonetheless there are a few attributes which differ between the housing stock of the four municipalities. The municipalities show awareness about the problems in theirs housing stock, but the resources for dealing with those problems are limited. |
format |
Bachelor Thesis |
author |
Gheorghita, Daniel |
author_facet |
Gheorghita, Daniel |
author_sort |
Gheorghita, Daniel |
title |
Landsbygdskommunernas obalanserade bostadsbestånd : En bostadsbeståndsundersökning av Dorotea,Vilhelmina, Storuman och Sorsele kommun |
title_short |
Landsbygdskommunernas obalanserade bostadsbestånd : En bostadsbeståndsundersökning av Dorotea,Vilhelmina, Storuman och Sorsele kommun |
title_full |
Landsbygdskommunernas obalanserade bostadsbestånd : En bostadsbeståndsundersökning av Dorotea,Vilhelmina, Storuman och Sorsele kommun |
title_fullStr |
Landsbygdskommunernas obalanserade bostadsbestånd : En bostadsbeståndsundersökning av Dorotea,Vilhelmina, Storuman och Sorsele kommun |
title_full_unstemmed |
Landsbygdskommunernas obalanserade bostadsbestånd : En bostadsbeståndsundersökning av Dorotea,Vilhelmina, Storuman och Sorsele kommun |
title_sort |
landsbygdskommunernas obalanserade bostadsbestånd : en bostadsbeståndsundersökning av dorotea,vilhelmina, storuman och sorsele kommun |
publisher |
Umeå universitet, Institutionen för geografi |
publishDate |
2020 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172010 |
long_lat |
ENVELOPE(17.537,17.537,65.535,65.535) ENVELOPE(16.750,16.750,65.750,65.750) |
geographic |
Sorsele Sorsele Kommun |
geographic_facet |
Sorsele Sorsele Kommun |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172010 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1779318156491227136 |