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Measuring how common and deadly armed conflicts are across the world helps us understand how people’s lives and livelihoods are affected by large-scale violence.
To make related data easier to access and understand, we have created two detailed Data Explorers.
We designed them for people who want to take a closer look at the data. People who are more interested in the key insights and most important charts can find those on our War and Peace topic page and smaller Countries in Conflict Data Explorer.
The first Data Explorer below is primarily structured around types of conflicts. It provides data on all armed conflicts, all state-based conflicts, as well as interstate, intrastate, extrastate, non-state conflicts, and one-sided violence.
For these types of conflicts, we provide data on how deadly and common they are, which countries are involved, and where they take place. You can read more about these different measures in our article about them.
The second Data Explorer uses the same data, but lets you browse the data primarily based on your choice of five data sources:
- Uppsala Conflict Data Program (UCDP)[1]
- Project Mars by Jason Lyall (2022)[2]
- Militarized Interstate Events by Douglas Gibler and Steven Miller[3]
- Correlates of War (CoW)[4]
- Peace Research Institute Oslo (PRIO)[5]
You can learn more about these sources in our article on them.
Endnotes
1] Davies, Shawn, Garoun Engström, Therese Pettersson, and Magnus Öberg. 2024. [Organized violence 1989-2023, and the prevalence of organized crime groups. Journal of Peace Research 61(4): 673-693. Gleditsch, Nils Petter, Peter Wallensteen, Mikael Eriksson, Margareta Sollenberg, and Håvard Strand. 2002. Armed conflict 1946–2001: A new dataset. Journal of Peace Research 39(5): 615–637.
2] Lyall, Jason. 2020. [Divided Armies: Inequality and Battlefield Performance in Modern War. Princeton University Press.
3] Gibler, Douglas, and Steven Miller. 2023. [The Militarized Interstate Confrontation Dataset, 1816-2014. Journal of Conflict Resolution. OnlineFirst. Gibler, Douglas, and Steven Miller. 2023. The Militarized Interstate Events (MIE) dataset, 1816–2014. Conflict Management and Peace Science. OnlineFirst.
4] Sarkees, Meredith Reid, and Frank Wayman. 2010. [Resort to War: A Data Guide to Inter-State, Extra-State, Intra-State, and Non-State Wars, 1816-2007. CQ Press. Palmer, Glenn, Roseanne McManus, Vito D’Orazio, Michael Kenwick, Mikaela Karstens, Chase Bloch, Nick Dietrich, Kayla Kahn, Kellan Ritter, and Michael Soules. 2021. The MID5 Dataset, 2011-2014: Procedures, coding rules, and description. Conflict Management and Peace Science 38(5): 470-482.
5] Lacina, Bethany, and Nils Petter Gleditsch. 2005. [Monitoring Trends in Global Combat: A New Dataset of Battle Deaths. European Journal of Population 21: 145-166.
Where this page came from
This page was imported from Our World in Data. “Our Data Explorers on Armed Conflict and War” by Bastian Herre, Lucas Rodés-Guirao, published by Our World in Data under CC BY 4.0. Changed here: set as a page, its interactive charts shown as pictures. Data from third parties keeps its own licence.
Nobody has written it yet — it is the source material at a new address, which is why search engines are asked to skip it and why no one earns from it. It is up for grabs: take it on, and it is yours to rewrite and to earn from.
Licence : CC BY 4.0 · Adapté de ourworldindata.org
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