Summary information

Study title

Local Party Systems in Germany

Creator

Rademacher, Christian (Universität Passau)

Study number / PID

ZA6914, Version 1.0.0 (GESIS)

10.4232/1.12975 (DOI)

Data access

Information not available

Series

Not available

Abstract

The aim of the project, which was carried out as part of the DFG project ´Local Party systems in Deutschland´, is to identify and compare existing local party systems and their development patterns at the local level since reunification. The local party systems were identified over time on the basis of four factors: 1. local political culture, 2. changes in local election law, 3. degree of organisation of local political actors and 4. structural contextual characteristics (size of municipality, local economic power, etc.). To this end, the results of the local elections from 1990 to 2016 were supplemented by local indicators of municipal statistics. There are a total of 35 indicators from the areas of population, labour market, land use and finances. Topics: 1. General information: municipality key, municipality (municipality, town, district, federation/joint municipality); classification of the municipality; federal state; administrative district to which the municipality belongs; official district key. 2. Local election data: year in which the election took place; number of eligible voters; name of candidate or list; type of candidate or list (e.g. Bundestag party); application of majority voting rights in the municipality; number of voters who participated in the elections; voter turnout; total valid votes; total and percentage number of votes for the candidate or list; seats won; total seats in the municipal council. 3. Population indicators: population figures for 2002 and 2011; population density (inhabitants per square kilometre in 2011); number of births and deaths in 2015; number of persons moved in and out above municipal boundaries in 2015; balance of persons moved in and out above municipal boundaries in 2015. 4. Labour market indicators: number of unemployed in 2016; number of employees subject to social insurance contributions in 2014 by place of work and residence. 5. Area indicators: total area in square kilometres in 2015; size of selected...
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Keywords

Not available

Methodology

Data collection period

1990 - 2016

Country

Germany

Time dimension

Not available

Analysis unit

Not available

Universe

Not available

Sampling procedure

Total universe/Complete Enumeration

Kind of data

Not available

Data collection mode

Aggregation

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2018

Terms of data access

A - Data and documents are released for academic research and teaching.

Related publications

Not available