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metadata language: German English

Aggregate Data for the Constituencies of the Federal Republic (1976-1980)

Version
1.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • Hänisch, Dirk (Gesamthochschule Duisburg)
Publication Date
1980
Contributor
  • D. Haenisch, Gesamthochschule Duisburg (Data Collector)
Language
German
Classification
  • ZA:
    • Political Attitudes and Behavior
  • CESSDA Topic Classification:
    • Elections
Description
  • Abstract

    Aggregate data on election politics for the Federal Republic at the level of the constituencies for the Federal Parliament election 1976, the European Election 1979 and the Federal Parliament election 1980. Topics: for each of the 3 elections mentioned the following data was collected in the form of percentages: election turnout; invalid first and second votes; proportions of first and second votes for the individual parties; absolute number of eligible voters.
Temporal Coverage
  • 1976 / 1980
Geographic Coverage
  • Germany (DE)
    FRG incl. West Berlin
Sampled Universe
The constituencies.
Sampling
Sampling Procedure Comment: Census
Collection Mode
  • Aggregate data from publications of the Federal Bureau of the Census.
Data and File Information
  • Unit Type: Text Unit
    Number of Units: 248
    Number of Variables: 38
Availability
Download
A - Data and documents are released for academic research and teaching.
Rights
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 https://dbk.gesis.org/dbksearch/guidelines.asp
Alternative Identifiers
  • ZA1184 (Type: ZA-No.)

Update Metadata: 2020-10-20 | Issue Number: 88 | Registration Date: 2010-07-22

Hänisch, Dirk (1980): Aggregatdaten für die Wahlkreise der Bundesrepublik (1976-1980). Version: 1.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.1184