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Socio-Economic Data on grid level (Wave 4). Population by age and gender

Resource Type
  • RWI
  • microm Micromarketing-Systeme und Consult GmbH
Collective Title
Publication Date
Publication Place
  • microm Micromarketing-Systeme und Consult GmbH (Data Collector)
  • RWI – Leibniz-Institut für Wirtschaftsforschung (Editor)
Free Keywords
population structure; age structure; population by gender; raster data
  • Abstract

    The gender and age structure indicates the share of inhabitants in an area and can be differentiated with respect to sex and 17 age groups. Age between 20 and 75 is divided into categories of 5 years each to build the age groups. For the elderly, the group is “75 years and older”.

    For children, microm uses the following categories: infants and toddlers in the age range 0-3 years; kindergarteners of the age 3-6 years; primary school children (6-10 years), and middle school children (10-15 years). At 15, it is possible to finish general schooling and start a vocational training, or proceed with school and obtain a high school degree (Abitur). Individuals in this group constitute two further age groups, one ranging from 15-18 years and the other from 18-20 years (microm 2014, p. 99).

    The age groups are available as percentage shares of all inhabitants in a raster cell. In addition, the absolute number of inhabitants is available as a separate dataset which can be found under DOI 10.7807/microm:einwohner:V4.

Temporal Coverage
  • 2005
  • 2009
  • 2010
  • 2011
  • 2012
  • 2015
Geographic Coverage
  • Germany (DE)
Sampled Universe

Mircom uses more than a billion individual datapoints for the aggregation of the microm dataset. These are mainly information on approximately 40.7 million households in Germany.


The data are not computed for each of the households but for all of the approximately 19.7 million German houses (microm 2014, p. 1). For data privacy reasons, houses within a residential environment are summed up to a "virtual" micro-geographic segment (so-called micro-cell), which on average comprises eight, but at least five households. The underlying data is aggregated from the level of the houses to the level of the micro-cells, which are the basis for all further calculations and aggregations. If such data exist, the calculated data is made consistent with official data sources (microm 2014, p. 2). In addition, microm geocodes all micro-cells, i.e. matches it to geographic coordinates. Hence, the data can be aggregated from the household level to the 1km² raster level. 

Time Dimension
  • Cross-section
Collection Mode
  • Other
Besides information on the population shares by age and gender, the dataset contains the geographical key of the raster point. 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 2014). 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.
microm Micromarketing-Systeme und Consult GmbH
  • Is supplemented by
    DOI: 10.7807/microm:einwGeAl:V3 (Dataset)
  • Is supplement to
    DOI: 10.7807/microm:pkwseg:V4 (Dataset)
  • Is supplement to
    DOI: 10.7807/microm:kaufkraft:V4 (Dataset)
  • Is supplement to
    DOI: 10.7807/microm:haustyp:V4 (Dataset)
  • Is supplement to
    DOI: 10.7807/microm:auslaender:V4 (Dataset)
  • Is supplement to
    DOI: 10.7807/microm:hstruktur:V4 (Dataset)
  • Is supplement to
    DOI: 10.7807/microm:kinder:V4 (Dataset)
  • Is supplement to
    DOI: 10.7807/microm:alq:V4 (Dataset)
  • Is supplement to
    DOI: 10.7807/microm:einwohner:V4 (Dataset)
  • Is supplement to
    DOI: 10.7807/microm:ethno:V4 (Dataset)
  • Is supplement to
    DOI: 10.7807/microm:zahlindex:V4 (Dataset)
  • Is supplement to
    DOI: 10.7807/microm:pkwmarken:V4 (Dataset)
  • Continues
    DOI: 10.7807/microm:einwGeAl:V3 (Dataset)
  • Is continued by
    DOI: 10.7807/microm:einwGeAl:V5 (Dataset)
  • Is original form of
    DOI: 10.7807/microm:einwGeAl:suf:V4 (Dataset)
  • Hentschker, Corinna; Wübker, Ansgar (2016). The impact of technology diffusion in health care markets: Evidence from heart attack treatment. No. 632. Ruhr Economic Papers

    • ID: 10.4419/8678873 (DOI)
    • ID: (Handle)
  • Bauer, T. K.; Budde, R.; Micheli, M.; Neumann, U. (2015): Immobilienmarkteffekte des Emscherumbaus?. Raumforschung und Raumordnung, 73(4), 269-283.

    • ID: 10.1007/s13147-015-0356-5 (DOI)
  • Budde, R.; Eilers, L. (2014): Sozioökonomische Daten auf Rasterebene - Datenbeschreibung der microm-Rasterdaten. RWI Materialien 77. Essen: RWI

    • ID: (Handle)
  • microm Consumer Marketing (Hrsg.) (2014): microm Datenhandbuch: Arbeitsunterlagen für microm MARKET & GEO. Neuss: microm GmbH, Neuss.

Update Metadata: 2020-03-17 | Issue Number: 31 | Registration Date: 2016-10-20

RWI; microm Micromarketing-Systeme und Consult GmbH (2016): Sozioökonomische Daten auf Rasterebeneb (Welle 4). Einwohner nach Geschlecht und Alter. RWI-GEO-GRID. Version: 1. RWI – Leibniz-Institut für Wirtschaftsforschung. Dataset.