The CoupCast project, led by Curtis Bell, uses historical data and machine learning to predict the likelihood of a coup attempt occurring in any country on a month to month basis. Using historical coup activity, the CoupCast identifies the baseline risk factors and short-term triggers that greatly increase the likelihood of a coup. The forecast is updated monthly and is accompanied by articles highlighting key insights learned by analyzing the data generated by the CoupCast. All the data are open-source, unclassified, and available on the Dataset page.
Countries at Highest Risk of a Coup Attempt this Month (Map)
Rollover or click on any regions of interest for more detailed coup information.
Countries at Highest Risk of a Coup Attempt this Month (List)
For many, Myanmar’s evolving democratic transition spells the end of the military’s role in politics. But could the challenge reform poses to the junta’s entrenched economic interests affect the young democracy’s risk of coup?