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Finnish Socio‐Economic Grid Data, GIS and the Hidden Geography of Unemployment
Author(s) -
Rusanen Jarmo,
Muilu Toivo,
Copaert Alfred,
Naukkarinen Arvo
Publication year - 2001
Publication title -
tijdschrift voor economische en sociale geografie
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 55
eISSN - 1467-9663
pISSN - 0040-747X
DOI - 10.1111/1467-9663.00146
Subject(s) - unemployment , georeference , geography , unit (ring theory) , quartile , grid cell , population , unemployment rate , demographic economics , demography , grid , statistics , economics , physical geography , economic growth , confidence interval , sociology , mathematics , geodesy , mathematics education
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.