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metadata language: German English

Property Offenses 1980

Resource Type
Dataset : Survey and aggregate data
  • SAMPLE, Hamburg
Publication Date
  • SAMPLE, Hamburg (Data Collector)
  • ZA:
    • Legal system, Legislation, Law
  • CESSDA Topic Classification:
    • Crime
  • Abstract

    Property offenses from the view of the persons affected. The reporting behavior of victims. Topics: impact of property offenses (victimization); type of property offense; value of the thing stolen; reporting or reasons for not reporting; outcome of the report; knowledge about consequences for the offender. Demography: age; sex; marital status; religious denomination; school education; occupation; employment; household income; household size; household composition; respondent is head of household; characteristics of head of household; city size; state.
Temporal Coverage
  • 1980-02 / 1980-03
Geographic Coverage
  • Germany (DE)
    FRG incl. West Berlin
Sampled Universe
Age: 14 and older.
Sampling Procedure Comment: Multi-stage stratified random sample of persons living in private households.
Collection Mode
  • Oral survey with standardized questionnaire
Data and File Information
  • Unit Type: Individual
    Number of Units: 1082
The current data set is part of an omnibus survey and contains besides the demographics of the respondent only a few questions on the topic. Comparable questions were also posed in ZA Study No. 0888.
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
  • ZA1051 (Type: ZA-No.)

Update Metadata: 2020-10-20 | Issue Number: 86 | Registration Date: 2010-07-22

SAMPLE, Hamburg (1980): Eigentumsdelikte 1980. Version: 1.0.0. GESIS Datenarchiv. Dataset.