UCDP Georeferenced Event Dataset: Disaggregated Conflict Events in Congo

UCDP's most disaggregated dataset covers individual events of organized violence in Congo. Events are geo-coded to the village level and have temporal durations disaggregated to single days. The dataset is published by the Department of Peace and Conflict Research at Uppsala University and was last updated on 2026-03 03.

Use Cases

• Predicting conflict hotspots based on fine-grained geospatial and temporal event data.
• Analyzing temporal patterns of organized violence based on daily-duration events.
• Training models for event classification and severity assessment based on disaggregated event descriptions.
• Conducting spatial analysis of conflict dynamics at the village-level resolution.

Strengths

• Events are geo-coded down to the level of individual villages.
• Temporal durations are disaggregated to single, individual days.
• Dataset is UCDP's most disaggregated dataset for organized violence.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic/temporal bias inherent to the source collection.

Provenance

Source

Uppsala University, Department of Peace and Conflict Research (UCDP).

Collection Method

Likely compiled from news reports, NGO records, and other sources documenting organized violence.

Time Range

null

Freshness

Last updated 2026-03-03 14:28:23.076919; freshness should be verified.

Geography

Congo.