DPRK Conflict Forecasts: Monthly Fatality Predictions for 36 Months

Monthly conflict forecasts for the Democratic People's Republic of Korea generated by the Violence & Impacts Early-Warning System (VIEWS) consortium. The data provides predictive modeling for violent events and fatalities with a temporal horizon of up to 36 months. It is formatted as a CSV and utilizes Humanitarian Exchange Language (HXL) standards for interoperability.

Use Cases

• Forecasting potential fatality spikes using the fatalities tag for risk mitigation
• Time-series analysis of conflict probability over a three-year window
• Integrating predictive violence metrics into HXL-compliant humanitarian risk dashboards

Strengths

• 36-month forward-looking forecast horizon
• HXL-standardized tagging for humanitarian data integration
• Monthly temporal resolution for trend monitoring

Limitations

• Predictive models represent probabilistic forecasts rather than observed historical ground truth
• Geographic scope is restricted exclusively to the Democratic People's Republic of Korea
• Lack of explicit column headers in the primary metadata description

Provenance

Source

Violence & Impacts Early-Warning System (VIEWS) consortium

Collection Method

Algorithmic forecasting and research-driven predictive modeling

Time Range

Forecasts up to 3 years in advance

Freshness

Updated as of March 2026.

Geography

Democratic People's Republic of Korea