Sozioökonomische Daten auf Rasterebene (Welle 5). Einwohner Socio-economic data on grid level (Wave 5). Population

DOI

Die Einwohnerstruktur weist die Absolutzahl der Einwohner pro Gebietsebene aus (microm 2016, S. 42). Komplementär zu diesem Datensatz liegt auch die Alters- und Geschlechtsstruktur der Einwohner als separater Datensatz vor und ist unter der DOI 10.7807/microm:einwGeAl:suf:V4 erhältlich.

The population structure gives the absolute number of inhabitants in a geographic area (microm 2016, p. 42). In addition, this information is also available by age and sex as a separate dataset which can be found under the DOI 10.7807/microm:einwGeAl:suf:V4.

RWI-GEO-GRID

Other

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. Houses in which at least five households live become a distinct micro-cell, while houses with less than five households 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 (microm 2016, p.8). If such data exist, the calculated data is made consistent with official data sources (microm 2014, p. 2). Additionally, due to the cooperation with SOEP, it is possible to validate the small-scale regional data of microm (microm 2016, p. 8). The dataset is based on the variable group 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.

In die Datenerstellung fließen mehr als eine Milliarde Einzelinformationen ein. Diese Daten liegen anonymisiert vor und werden von mehreren Quellen bezogen. Die einfließenden Daten liegen grundsätzlich für sämtliche 40.9 Mio. Haushalte in Deutschland vor und werden für die rund 20 Mio. Häuser ausgewiesen (microm 2016, S. 8).

Microm uses more than a billion individual data points for the aggregation of the microm dataset. These are anonymised and stem from various data sources. The data points are available for all 40.9 million households in Germany, while thefinal data product contains information on approximately 20 million houses (microm 2016, p. 8).

Identifier
DOI https://doi.org/10.7807/microm:einwohner:v5
Related Identifier Continues https://doi.org/10.7807/microm:einwohner:v4
Related Identifier IsSupplementedBy https://doi.org/10.7807/microm:hstruktur:v5
Related Identifier IsSupplementedBy https://doi.org/10.7807/microm:pkwseg:suf:v5:1
Related Identifier IsSupplementedBy https://doi.org/10.7807/microm:kaufkraft:v5
Related Identifier IsSupplementedBy https://doi.org/10.7807/microm:pkwmarken:suf:v5:1
Related Identifier IsSupplementedBy https://doi.org/10.7807/microm:auslaender:v5
Related Identifier IsSupplementedBy https://doi.org/10.7807/microm:haustyp:v5
Related Identifier IsSupplementedBy https://doi.org/10.7807/microm:alq:v5
Related Identifier IsSupplementedBy https://doi.org/10.7807/microm:kinder:v5
Related Identifier IsSupplementedBy https://doi.org/10.7807/microm:einwgeal:v5
Related Identifier IsSupplementedBy https://doi.org/10.7807/microm:ethno:v5
Related Identifier IsSupplementedBy https://doi.org/10.7807/microm:zahlindex:v5
Related Identifier IsDocumentedBy http://hdl.handle.net/10419/97627
Related Identifier IsDocumentedBy https://doi.org/10.1007/s13147-015-0356-5
Related Identifier IsDocumentedBy https://doi.org/10.4419/86788734
Metadata Access https://api.datacite.org/dois/10.7807/microm:einwohner:v5
Provenance
Creator RWI; Microm Micromarketing-Systeme Und Consult GmbH
Publisher RWI – Leibniz Institute for Economic Research
Contributor Budde, Rüdiger; Eilers, Lea; Microm Micromarketing-Systeme Und Consult GmbH; RWI – Leibniz-Institut Für Wirtschaftsforschung
Publication Year 2017
Rights microm Micromarketing-Systeme und Consult GmbH
OpenAccess true
Representation
Language German
Resource Type Dataset
Format Stata
Size 31080 KB
Version 1
Discipline Social Sciences
Spatial Coverage Germany