Manifesto Project Main Dataset (Party Preferences)


For further information regarding the dataset history please check our Release Notes (PDF)
You can download most of our old dataset versions on our list of former dataset versions.
The data set is updated at least annually.
By using our data you also agree to our terms of use.

Manifesto Project Dataset (version 2024a)   E: 1387 P: 856 M: 5151

Lehmann, Pola / Franzmann, Simon / Al-Gaddooa, Denise / Burst, Tobias / Ivanusch, Christoph / Regel, Sven / Riethmüller, Felicia / Volkens, Andrea / Weßels, Bernhard / Zehnter, Lisa (2024): The Manifesto Data Collection. Manifesto Project (MRG/CMP/MARPOR). Version 2024a. Berlin: Wissenschaftszentrum Berlin für Sozialforschung (WZB) / Göttingen: Institut für Demokratieforschung (IfDem). https://doi.org/10.25522/manifesto.mpds.2024a


Dataset               stata14 stata12 spss csv xlsx

Documentation  Codebook Coding Instructions List of Coded Documents (incl. Titles) (CSV)

Parties                List (PDF) List – Short (CSV) List – Long (CSV) Lists of Political Parties (Codebook)

Citation               copy to clipboard txt bibtex ris

Mapping Policy Preferences II   E: 180 P: 623 M: 1261

Klingemann, H.-D., Volkens, A., Bara, J., Budge, I., and McDonald, M. (2006). Mapping Policy Preferences II: Estimates for Parties, Electors, and Governments in Eastern Europe, European Union and OECD 1990-2003. Oxford: Oxford University Press.


Dataset               stata12 spss csv xlsx

Citation               copy to clipboard txt bibtex ris

Mapping Policy Preferences I   E: 364 P: 288 M: 1991

Budge, I., Klingemann, H.-D., Volkens, A., Bara, J., and Tanenbaum, E. (2001). Mapping Policy Preferences. Estimates for Parties, Electors, and Governments 1945-1998. Ox- ford: Oxford University Press.


Dataset               stata12 spss csv xlsx

Citation               copy to clipboard txt bibtex ris

Hint: If you are searching for dataset files that cover only the most recent update or all updates since MPPII you can simply download the most recent full dataset and use the variable dataset_origin to filter the observations in that sense.