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The PA-X Peace Agreements Database is currently the most expansive collection of peace agreements data in the world. Now in Version 9, PA-X contains over 2,000 peace agreements, found in more than 170 peace processes between 1990 and 2024.

The dataset features an archive of agreement texts in PDF format, a corpus of agreement texts (all translated into English by translators with expertise in law, legal studies, or countries from which the agreements originated), a human-coded dataset that covers agreement metadata and 230 substantive categories of issues covered in agreement texts. PA-X also contains sub-datasets on local agreements, gender, and amnesties.

The data can be searched using a variety of parameters, enabling users to download any subset of data (or the corpus) required for their project. Additionally, users are able to view any subset of agreements selected through the search via a timeline feature for search results.

PA-X data underpins a range of digital tools and datasets to support policy and practice, including PA-X Gender, PA-X Local, the ACPA dataset, and Ceasefires in a Time of COVID-19.

Search the main PA-X V9 database, containing over 2,000 peace agreements from 1990 to 2024.

Search PA-X Gender, which lists all peace agreements in PA-X with provisions on women, girls, gender or sexual violence.

PA-X Local contains all peace agreements that deal with local issues, involve local actors, and forms of local/communal violent conflict.

Combining a suite of PeaceTech tools, the PA-X Tracker is an innovative digital tool that allows users to track peace and transition process commitments and implementation data by country.

The ACPA dataset contains 289 amnesties introduced as a result of ongoing conflict, as part of peace negotiations, or in postconflict periods from January 1990 to September 2016 in all world regions.

This database by International IDEA allows users to explore how constitutional processes have unfolded in challenging environments from 2001 to today, with over 200 data points for each case.