Dataset: German General Social Survey (ALLBUS) - Cumulation 1980-2016 (English version)


Literal Question

Description of variable:
Boustedt - Gemeindetyp - 7 Kategorien

-34 Not included 1991 (East), 1996-2016
1 Up to 1,999 residents
2 2,000 - 4,999 residents
3 5,000 - 19,999 residents
4 20,000 - 49,999 residents
5 50,000 - 99,999 residents
6 100,000 - 499,999 residents
7 500,000 residents and more

Boustedt-Type of Municipality

Political or administrative units are in many cases unsuitable to accurately describe the type of community in which respondents actually live. A case in point are, for example, small suburban communities. Although often politically and administratively independent, they are nevertheless socio-economically tied to the metropolis. ALLBUS therefore provides the 'Boustedt-type of Municipality' (bstdt7, bstdt10) as an additional regional categorization which addresses these ecological factors in regional statistics. While bstdt7 provides a 7-category version, bstdt10 is a 10-category version. The ’Boustedt-type of municipality’ is based, as far as possible, not on political or administrative criteria, but on the actual regional character of the place of residence.

For more information, please compare:

Olaf Boustedt 1975: Grundriß der empirischen Regionalforschung. Band III: Siedlungsstrukturen. Veröffentlichung der Akademie für Raumforschung und Landesplanung (ARL), Hannover: Schroedel.

Gerd Tönnies 1988: Planungs- und forschungsorientierte Raumgliederungen. Zur Abgrenzung von Agglomerationsräumen (Stadtregionen), in: Raumforschung und Raumordnung Heft 1-2: 11-24.

Values Categories
1 UP TO 1999 INH.
2 2000-4999 INH.
3 5000-19999 INH.
4 20000-49999 INH.
5 50000-99999 INH.
6 100000-499999 INH.
7 500000 AND MORE INH.

Summary Statistics

Valid cases 26660
Missing cases 38024
Minimum 1.0
Maximum 7.0
This variable is numeric


Metadata Index

This is the Metadata Index for a Nesstar Server.
Nesstar is a tool used for analysing, visualising and downloading datasets.

Click the "Explore Dataset" button to open the dataset.