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14yb -- Municipal elections, analysis, 2017-2025

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Yes
6/4/2025
Support %:
Per cent
Change in support %:
Per cent
6/4/2025
6/4/2025
Yes
Statistics Finland, municipal elections
309_14yb_2025
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Mandatory

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Mandatory

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Field for searching for a specific value in the list box. This is examples of values you can search for.Mainland Finland , 01 Helsinki constituency , 02 Uusimaa constituency ,

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Field for searching for a specific value in the list box. This is examples of values you can search for.KOK , PS , SDP ,

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Mandatory
Field for searching for a specific value in the list box. This is examples of values you can search for.Strong support for the National Coalition Party , Medium support for the National Coalition Party , Weak support for the National Coalition Party ,

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Documentation of statistics Data content:
Voting districts have been grouped separately along each background variable into three numerically equally large classes. The election result for each class is compared by constituency with the results of the previous Municipal elections. The classification of voting districts is based on data on persons entitled to vote derived from the voting register and Statistics Finlands data. The background variables for the classification of voting districts include employment, business structure, the proportion of pensioners, support for parties, the degree of urbanisation, the proportion of children under seven years of age of the population, and the income level. The analysis is performed for the whole. Interpreting the results:
The results illustrate the parties success in the elections compared with the previous Municipal elections. Positive numbers show that, compared to the previous elections, a party won the percentage point share indicated by the figure. Correspondingly, negative numbers show that a party lost. The election result cannot be calculated from the tables. Data:
The analysis is based on an examination by voting district. The voting districts, whose borders have not changed or have changed only a little since the previous elections, were chosen as the basic data set. Small voting districts with less than 1,000 persons entitled to vote are combined so that the average size of a voting district is about 2,000 persons entitled to vote. For each variable, the voting districts in a constituency have been divided into three groups on the basis of the characteristics of their population entitled to vote. Background variables 1. Employment 2. Business structure
- The data is divided into three groups on the basis of the number of employees in these business sectors. When interpreting the table, it should be noted that agriculture is very rarely the principal industry. Services are predominant everywhere. The third of all voting districts where the share of agricultural workers of all employed persons is the highest is assigned to the agricultural areas group. Half of the remaining two thirds is assigned to the industrial areas group, where the highest number of persons is employed in manufacturing industries. The remaining one third is regarded as service areas. 3. Proportion of pensioners of persons entitled to vote 4. Support for parties
- The best third is the third of voting districts where the party received the highest percentage of votes in the previous Municipal elections. 5. Degree of urbanisation
- The dividing factor is the degree of urbanisation, that is, the share of population living in urban areas. The voting districts of cities with more than 50,000 inhabitants are counted as urban areas. However, if these make up over one third of the voting districts in the constituency, the voting districts with the highest degree of urbanisation are counted as urban areas so that one third of the voting districts is in this class. The remaining two thirds are counted as semi-urban areas. Of the voting districts outside large cities, the half which has a higher degree of urbanisation is counted as a population centre area and the one with the lower degree of urbanisation is counted as a sparsely populated area. 6. Proportion of children under seven years of age of the population 7. Income level