German General Social Survey - ALLBUScompact 2016

Resource Type
Dataset : Survey and aggregate data
  • GESIS - Leibniz-Institut für Sozialwissenschaften
Publication Date
  • Stefan Bauernschuster (Researcher)
  • Andreas Diekmann (Researcher)
  • Andreas Hadjar (Researcher)
  • Karin Kurz (Researcher)
  • Ulrich Rosar (Researcher)
  • Ulrich Wagner (Researcher)
  • Bettina Westle (Researcher)
  • TNS Infratest Sozialforschung, Munich (Data Collector)
  • Abstract

    ALLBUScompact is offered as an alternative to the structurally more complex full version of ALLBUS. It addresses the needs of newcomers to data analysis by providing a simplified demography module containing an easily manageable group of the most important demographic indicators. All topical question modules not containing sensitive data are retained as in the ALLBUS full version (scientific use file). For a comprehensive description of study topics please compare Study No. 5252 (ALLBUS/GGSS 2016).
Temporal Coverage
  • 2016-04-06 / 2016-09-18
Geographic Coverage
  • Germany (DE)
Sampled Universe
Residents in private households in the Federal Republic of Germany born before 1 January 1996.
Probability: Stratified: Disproportional; Probability: Cluster: Stratified random; Sampling Procedure Comment: Person sample Universe Sampled: All persons (German and non-German) who resided in private households and were born before 1 January 1998. Selection Method: Two stage disproportionate random sample in western Germany (incl. West Berlin) and eastern Germany (incl. East Berlin). In the first sample stage municipalities (Gemeinden) in western Germany and municipalities in eastern Germany were selected with a probability proportional to their number of adult residents; in the second sample stage individual persons were selected at random from the municipal registers of residents. Targeted individuals who did not have adequate knowledge of German to conduct the interview were treated as systematic unit non-responses.
Time Dimension
  • Cross-section
Collection Mode
  • Face-to-face interview: CAPI/CAMI
  • Self-administered questionnaire: Computer-assisted (CASI)
  • Personal, oral interview with standardized questionnaire (CAPI – Computer Assisted Personal Interviewing) and two additional self-completion questionnaires (CASI – Computer Assisted Self-Interviewing) for ISSP (split questionnaire design).
Data and File Information
  • Unit Type: Individual
    Number of Units: 3490
    Number of Variables: 589
A - Data and documents are released for academic research and teaching.
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see
Alternative Identifiers
  • ZA5253 (Type: ZA-No.)
  • ALLBUS (Type: FDZ)

Update Metadata: 2021-04-07 | Issue Number: 15 | Registration Date: 2018-10-29