2021 Postal Area Statistics Collection
Source
Tilastokeskus
Description
The dataset collection in question is a comprehensive compilation of statistical data tables. These tables are interconnected and provide a rich source of information. The data for this collection is primarily sourced from 'Tilastokeskus' (Statistics Finland) website, originating from Finland. The tables within this collection stem from the statistical interface service of 'Tilastokeskus'. This dataset collection offers a wealth of insights, making it an invaluable resource for those seeking to understand or analyze relevant statistical patterns and trends. This dataset is licensed under CC BY 4.0 (Creative Commons Attribution 4.0, https://creativecommons.org/licenses/by/4.0/deed.fi).
Keywords
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2021 Postal Area Statistics and Demographics in Finland
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Description
The table is part of a dataset collection related to postal area statistics for the year 2021, sourced from Statistics Finland (Tilastokeskus) in Finland. It provides a rich variety of data, including demographic, geographic, and economic information. The demographic data includes different age groups, gender distribution, and total population. The geographic data provides coordinates in the WGS 84 system, along with various other geospatial data that can be used for geospatial analytics. Economic information includes data on income levels and employment status. The table also includes data on housing, education, and different industry sectors. Two special columns, '_extract_date' and '_row_number', provide information about the date when the data was extracted and the row number in the data extracted on the specified date, uniquely identifying each row. The data in this table could be used in various analytical contexts, such as socio-economic studies, urban planning, market research, or geographic information system (GIS) applications. For example, it could be used to analyze population distribution, income levels, or housing trends in different postal areas. It could also be used to study the correlation between demographic factors and other variables, such as employment status or educational level.