The Manifesto Project provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1000 parties from 1945 until today in over 50 countries on five continents. The DFG-funded MARPOR project continues the work of the Manifesto Research Group (MRG) and the Comparative Manifestos Project (CMP). On this website you find the Manifesto Project Dataset containing the parties' policy preferences generated by the project. You also find coded and uncoded election manifestos of the parties in the dataset as well as information and links to many applications for the dataset, related projects and publications etc.
Coded manifestos available through the Manifesto Corpus: The Corpus publishes the digital codings on the quasi-sentence level the project has produced since 2009. It allows users to verify and check our codings, recode the data for their own purposes, create new subcategories, use them for automatic analysis, etc.
Release of manifestoR: an R packages facilitating use and access of the Manifesto Project Data.
Update 2015a available: It is the first dataset that reports data coded on the basis of the new category scheme. Check Version 5 of the coding instructions to learn more about the new category scheme. For everyone doing over time comparisons the dataset also reports the data aggregated into the old category scheme.
First data from South American countries published: This new dataset will provide data on South American parties and presidential candidates. So far it contains data from Argentina, Brazil and Chile, more countries and elections will follow.
New versions of our datasets are available (Update 2020b)!
We added the following elections:
ARG: 2015 & 2019 AUT: 2019 DNK: 2019 HUN: 2018 ISR: 2019 April MNE: 2020 PRT: 2019 ESP: 2019 November UKR: 2014
Interested in computational text analysis and political science? We are looking for a research fellow to join us in the @OPTED_H2020 project!
Application Deadline: 4 January 2021
It's great to be part of such an exciting project! https://twitter.com/OPTED_H2020/status/1324308253581447168
We have analyzed Trump's second term agenda in a new blog post.
The following thread contains a short summary: https://twitter.com/WZB_Democracy/status/1321848881391509506
New update of the Manifesto Dataset (2020a)!
We added 9 elections to the Main Dataset:
BIH 2018 CHE 2019 ESP 2019(April) FIN 2019 GBR 2019 MEX 2018 POL 2015 SVN 2018 UKR 2012
Also included are the already coded Flemish manifestos of the Belgium 2019 election.
Does "rally-around-the-flag" work equally for all parties? Using among others @manifesto_proj data @osman_s_kiratli shows that voters react differently to military conflicts before elections, depending on the foreign policy orientation of the gov. party.
Something for data gourmets: You can now download the government declaration dataset, a classic that was originally published with MPP I (on a CD!). If you are interested in policy preferences of governments you should definitely take a look: https://manifesto-project.wzb.eu/information/documents/gdds
Second episode of „how to hand over job positions during #StayAtHome“. @TobiasBurst succeeds @krause_we as a MARPOR fellow, who joins the Comparative Politics department at @HumboldtUni as a Post-Doc. We wish both of you a great start! https://t.co/y8obku6SdF
No April fool: We are proudly presenting: how to hand over job positions in home office. (part I) We are happy to announce that @tionde_lisa becomes a MARPOR fellow and takes over from @TheresMatthiess, who joins MZES as a postdoc fellow. Have a great start both of you! https://t.co/aOWXeBYhmW
It's been a while, but today is #tutorialthursday again!
In our new tutorial, you can learn how to recode and extend our coding scheme with self-defined categories: https://manifesto-project.wzb.eu/tutorials/recoding
Two more weeks to apply and to become a member of our team!
If you use any of the data you find on this website, please cite us. You find the correct citation for all datasets on all download pages. If you use the documents, please cite the Manifesto Corpus.