Detailansicht
The dataset is based on the variable gourp microm-Basis which is comprised of four categories: number of households, number of business enterprises, number of houses (incl. those purely used for business), and number of residential houses (excl. those purely used for business) (cf. microm 2016, p. 26). The number of houses on the street segment level is the basis for all aggregations to other regional levels. Based on business registers, the number of enterprises in each house is determined. Moreover, the dataset contains the geographical key of the raster point als well as information on cars, purchasing power, foreigners, household structure, children, unemployment rate, population, ethnic background, credit default risk.
Unit Type: Geographic Unit
Number of Units: 81696
Number of Variables: 103
Type of Data: Microdata
File Name: RWI-GEO-GRID_v9_PLZ_neu_SUF
File Format: dta
File Size: 62KB
These variables are data provided for scientific use by the FDZ Ruhr at RWI. Data on such a small regional scale (1km²) is not collected directly for all parts of Germany, which makes this dataset a valuable addition for small-scale regional analyses. A basic description on the data collection of the individual variables is found in the microm handbook (microm 2016). Details on the data generation are not publicly available, however the procedure of collecting particular data is known (cf. procedure of data collection). Screenings of the FDZ Ruhr do not indicate issues with data quality.
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DOI: https://doi.org/10.7807/microm:suf:V8 (Dataset)
Budde, R. und L. Eilers (2014), Sozioökonomische Daten auf Rasterebene – Datenbeschreibung der microm-Rasterdaten. RWI Materialien 077. Essen: RWI.
Bauer, T. K., R. Budde , M. Micheli und U. Neumann (2015), Immobilienmarkteffekte des Emscherumbaus? Raumforschung und Raumordnung 73(4): 269-283.
Hentschker, C und A. Wübker (2016), The impact of technology diffusion in health care markets: Evidence from heart attack treatment. Ruhr Economic Papers #632. Essen: RWI.
microm Consumer Marketing (2016), Datenhandbuch: Arbeitsunterlagen für microm MARKET & GEO. Neuss: microm GmbH, Neuss.
Breidenbach, P. and L. Eilers (2018), RWI-GEO-Grid: Socio-economic data on grid level. Jahrbücher für Nationalökonomie und Statistik 238 (6): 609-616. DOI: 10.1515/jbnst-2017-0171