 Finnish Socio‐Economic Grid Data, GIS and the Hidden Geography of UnemploymentJarmo Rusanen, Toivo Muilu, Alfred Copaert and Arvo Naukkarinen Tijdschrift voor Economische en Sociale Geografie, 2001, vol. 92, issue 2, 139-147 Abstract: The use of georeferenced data in geographical research into unemployment reveals internal fluctuations and differences within localities. The observation unit in the present paper is a 1x1 km grid cell. The results obtained here indicate that the rate of unemployment in Finland during 1993–95 was highest in the most sparsely populated cells. The duration of unemployment in 1993 was longest in the centres and suburbs of major cities, and it was also very long in the most sparsely populated cells. In the largest ten cities, the areas with the highest unemployment rate mainly remained the same during 1989–96; more than 60% of the cells with the highest unemployment rates in 1989 also fell within the same quartile in 1996. Restricting the availability of grid‐based information would have a contrasting impact on analysis. If data on cells containing five people or fewer had not been available, it would have meant a loss of 42.3% of the total inhabited cells and a 2.4% loss in population. Date: 2001 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:tvecsg:v:92:y:2001:i:2:p:139-147 Ordering information: This journal article can be ordered from Access Statistics for this article Tijdschrift voor Economische en Sociale Geografie is currently edited by Jan van Weesep More articles in Tijdschrift voor Economische en Sociale Geografie from Royal Dutch Geographical Society KNAG |
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