Datasets
Datasets
Available for researchers
Available for researchers
United Nations General Assembly Decision-Making dataset. 1946-2023.
Covers all plenary session resolution-related decisions (including roll-call votes, non-recorded votes, and decisions without a vote; includes votes on resolutions, amendments, motions, and separate [e.g., paragraph] votes, both for measure that passed and for measures that failed; includes regular, special, and emergency special sessions). Covers over 22 thousand decisions, including 1.2 million country-level roll-call votes.
Please cite both:
Fjelstul, Joshua, Simon Hug & Christopher Kilby (2025). "Decision-Making in the United Nations General Assembly: A Comprehensive Database of Resolutions-related Decisions." The Review of International Organizations.
Fjelstul, Joshua, Simon Hug & Christopher Kilby (2023). "UNGA-DM Codebook, v 2023.2." https://unvotes.unige.ch/download_file/1/1.
The database from Regular Session 1 to Regular Session 77 is also available here in a different format. The zip-file below contains 4 files. Two are raw data:
"All_Decisions_RS-077.xlsx" provides decision-level data for UNGA decisions (without a vote, by non-recorded vote, and by roll-call vote), one worksheet for data and one for variable definitions.
"All_Votes_RS-077.csv" provides the same variables plus member state vote-level data but only for decisions by roll-call vote.
To provide complete information on decisions designated "important" by the U.S. State Department, both files include a small number of important decisions that do not otherwise meet UNGA-DM inclusion criteria. Eliminate these by selecting "outside_normal_coverage=0".
The zip-file contains 2 other files related to UNGA voting alignment:
"UNGA-DM_RS-077 alignment with US.csv" provides voting alignment with the US from 1946 to 2022. It also includes voting alignment with the US on votes the US State Department designated as important from 1983 to 2022.
"Calculating alignment from UNGA-DM data.do" is the code used to calculate alignment. This provides the details of the calculation and can be modified to calculate alignments with other countries.
1991–2023 (geocoded 1998-). Extracted from World Bank API; cleaned by godad.me.
Please cite as:
Kersting, Erasmus, & Christopher Kilby. 2021. "Do domestic politics shape U.S. influence in the World Bank?" Review of International Organizations 16(1): 29-58.