COMPARATIVE POLITICAL DATA SET

Klaus Armingeon, Sarah Engler, Lucas Leemann and David Weisstanner | University of Zurich, Leuphana University and University of Lucerne

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Overview

  1. Comparative Political Data Set: Main data set with annual political and institutional data for 36 countries (1960-2023).
  2. Government composition – Supplement to the Comparative Political Data Set: Detailed government composition data for 36 countries (1960-2023).
  3. Comparative Political Data Set by Government: Do- and R-Files to convert the data structure.
  4. CPDS – CHES – CMP Data Connection: R-Files to connect CPDS with data from other datasets, namely Chapel Hill Expert Survey and the Comparative Manifesto Project.

Comparative Political Data Set

Main data set with annual political and institutional data for 36 countries (1960-2023).

(Current version: 23 June 2025)

Data

Codebook

Citation:
Armingeon, Klaus, Sarah Engler, Lucas Leemann and David Weisstanner. 2025.
Comparative Political Data Set 1960-2023.
Zurich/Lueneburg/Lucerne: University of Zurich, Leuphana University Lueneburg, and University of Lucerne.


Government Composition – Supplement to the Comparative Political Data Set

Detailed information on party composition, reshuffles, duration, reason for termination and the type of government for 36 OECD and/or EU-member countries.

(Current version: 23 June 2025)

Data

Codebook

Citation:
Armingeon, Klaus, Sarah Engler, Lucas Leemann and David Weisstanner. 2025.
Supplement to the Comparative Political Data Set – Government Composition 1960-2023.
Zurich/Lueneburg/Lucerne: University of Zurich, Leuphana University Lueneburg, and University of Lucerne.


Comparative Political Data Set by Government

Do- and R-Files to convert the data structure.

Note: During the process of translating the Do-Files into R-Code, we also adapted the rule assigning years of influence to governments. The new rule assigns a year to the government that was in power for the longest period during the first eight months of the year. Governments which do not have a year of influence are taken out of the data, but this can be changed in the code. Thus, these changes result in differences in the converted data when compared with the previous Do-Files.

Do-Files

R-File

CPDS – CHES – CMP Data Connection

The following code files and documents merges data from CPDS with the Chapel Hill Expert Survey and the Comparative Manifesto Project. Additionally, it allows users to calculate scores of selected variables by party composition in parliaments or governments.

More information on the code and output can be found in the accompanying note.

Data

R-Files

Codebook

Citation:
Odermatt, Angela. 2025.
CPDS – CHES – CMP Data Connection 1960-2023.
Princeton: Princeton University.