Income differences within municipalities in Finland, 1989–1997

Differences in income between population groups in Finland have begun to increase since the recession of the early 1990s. These differences are examined here in terms of mean taxable incomes per household in 1989, 1993 and 1997 in 1 × 1 km grid cells, and the results are compared with those obtained using postal districts and municipalities as areal units. In spite of the increase, taxable income differences within municipalities are still relatively small. It is clear, however, that incomes have risen more in areas of increasing population than in areas of declining population. The results also indicate that the smaller the areal unit used, the greater the income differences, and vice versa. Thus the results of analyses based on different areal units cannot necessarily be regarded as comparable.     

Local and regional income differences in Finland in 1989 to 1997 — a GIS approach

Income differentials among the population of Finland began to widen in the latter half of the 1990s, as reflected in a geographical analysis based on 1 × 1 km grid cell data produced by Statistics Finland, where the most densely populated cells are seen to have lower mean income levels than the others, and the spatial differences in income level within the large towns and cities are seen to have increased. The income differentials between grid cells are fairly stable and the majority of the cells can be classified as representing the middle income bracket in terms of incomes subject to state taxation. Accurate geo-referenced data of this kind enable observations to be made concerning income differentials which would remain obscured if only administrative areal units such as local government districts were used.     

The Second Interagency Conference on Population Geography

A theory that areal variations in economic development in the USSR (analyzed at the oblast level for most republics) depend on regional economic structure, economic policy, cultural factors, and the center-periphery dichotomy is tested via simple regression analysis, using retail sales per capita as the indicator of economic level. The independent variables are: share of urban population (for economic structure), investments (for economic policy), percentage of Moslem population (for the cultural factor), and distance from Moscow (for the periphery effect). All of these variables except distance were significant in explaining the real variation in retail sales per capita.