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Table 1 Brief description and statistics of the data sources used in this study
Data source | Description | Spatial unit | Statistics |
|---|---|---|---|
BfA [2] | Matrix of count of commuters subject to social security contributions by place of residence and work (year: 2019) | County (n = 401) | Commuters count = 13.0 million |
BfA [1] | Matrix of count of commuters subject to social security contributions by place of residence and work (year: 2010) | Municipality (n = 11,748) | Commuters count = 16.3 million |
Regionalstatistik [22] | Employed population subject to social security contributions at the place of residence (year: 2019) | County (n = 401) | Employed population = 33.2 million |
Regionalstatistik [21] | Employed population subject to social security contributions at the place of residence (year: 2010) | Municipality (n = 11,748) | Employed population = 27.8 million |
BKG [3] | Polygon features representing German municipal boundaries (years: 2010, 2019) | Municipality | No. of Municipalities: 2019 = 11,058; 2010 = 11,748 |
Nordenholz et al. [19] | Polygon features representing TAZ | TAZ (n =6633) | Â |
Statistische Ämter des Bundes und der Länder [23], BKG v4] | INSPIRE based geographic grid system for Germany containing information on number of residences for each grid cell | Grid Cell size is 10000 sqm or 1 hectare | Total Population = 80.3 million |