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...
Read moreTopics
Keywords
Methodology
Data collection period
1990 - 2016
Country
Germany
Time dimension
Not availableAnalysis unit
Not availableUniverse
Not availableSampling procedure
Total universe/Complete Enumeration
Kind of data
Not availableData 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