Socio-economic data on grid level ( SUF On-site)

DOI

The RWI-GEO GRID dataset provides socio-economic data on 1x1 km grid cells in which residential and commercial properties in Germany are located. For each grid cell, the data set contains a large number of variables on households, household structure, demographics, the proportion of foreigners, mobility, purchasing power, unemployment rate and credit default risk. The data is currently available for the years 2005 and 2009-2023.

Sampled Universe: Microm uses more than a billion individual datapoints for the aggregation of the microm dataset. These are anonymised and stem from various data sources. The datatapoints are are available for the over 40 million households in Germany, while the final data product contains information on approximately 20 million houses.

Sampling: For data privacy reasons, houses within a residential environment are summed up to a "virtual" micro-geographic segment (so-called micro-cell). If necessary, houses are combined with similar houses on the same street. Combined houses are as close as possible in spatial terms. Structural indicators are aggregated on the micro cell level and subsequently computed household level averages are computed. If such data exist, the calculated data is made consistent with official data sources.

Collection Mode: Aggregation

Unit Type: GeographicUnit, Number of Units: 224613

Identifier
DOI https://doi.org/10.7807/microm:v15
Related Identifier Continues https://doi.org/10.7807/microm:v14
Metadata Access https://api.datacite.org/dois/10.7807/microm:v15
Provenance
Creator RWI – Leibniz Institute for Economic Research; microm Micromarketing-Systeme und Consult GmbH
Publisher RWI – Leibniz Institute for Economic Research
Contributor Heinze, Inga; Breidenbach, Philipp
Publication Year 2025
Rights microm Micromarketing-Systeme und Consult GmbH
OpenAccess true
Representation
Language English
Resource Type Dataset; Longitudinal.Panel
Format CSV, DTA, PARQUET
Size 2.338.283 KB, 6.478.700 KB, 571.817 KB; Temporal Coverage: 2005, 2009-2023
Version 15
Discipline Social Sciences
Spatial Coverage Germany