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Coup leaders: a new comprehensive dataset, 1950–2020

Published online by Cambridge University Press:  01 January 2026

Tanja Eschenauer-Engler*
Affiliation:
Institute of Political Science, Ruprecht Karls University Heidelberg, Bergheimer Str. 58, 69118 Heidelberg, Germany
Bastian Herre*
Affiliation:
Our World in Data, Oxford Martin School, Oxford, UK

Abstract

All coups seek to topple the political leadership, but they differ in terms of their leaders. While soldiers spearhead a majority of coups, a small number is led by civilians. And whereas high-ranking officers are the largest group among coup leaders, mid- and low-ranking soldiers account for a substantial share of putsches. Several datasets have recently offered data on the identity and political aims of coup leaders, to study the origin and outcome of different types of coups. However, these datasets have important limitations in their scope and how they address differing organizational structures of militaries across countries and time. This article therefore introduces a novel dataset on the identity of the leaders of 474 coups from 1950 to 2020 that distinguishes between coups led by civilians and military officers, as well as between coups by junior, mid-ranking, and senior officers. We discuss how the dataset complements previous data, present patterns across time and space, and show that successful and failed coups by senior, mid-ranking, and junior officers entail different prospects for post-coup democratization. The article underlines the importance for refined empirical measures and theoretical arguments in coup research.

Information

Type
Dataset
Copyright
Copyright © 2023 European Consortium for Political Research

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Footnotes

Supplementary Information The online version contains supplementary material available at https://doi.org/10.1057/s41304-023-00438-5.

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Supplementary material: File

Eschenauer-Engler and Herre supplementary material

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Eschenauer-Engler and Herre supplementary material

Appendix for Online Publication “Coup Leaders: A New Comprehensive Dataset, 1950-2020”
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