South Sudan Conflict Events with Village-Level Geocoding and Daily Temporal Detail

UCDP's most disaggregated dataset records individual events of organized violence occurring at specific times and places. Events are geo-coded down to the level of individual villages and have temporal durations disaggregated to single days. The dataset is documented in the Journal of Peace Research and a codebook from Uppsala University.

Use Cases

• Modeling conflict intensity and spread based on village-level geocoding.
• Analyzing temporal patterns of organized violence based on daily event durations.
• Training predictive models for conflict risk based on fine-grained event data.
• Conducting spatial analysis of violence clusters based on geographic coordinates.

Strengths

• Events are geo-coded down to the level of individual villages.
• Temporal durations are disaggregated to single, individual days.
• Dataset is documented by peer-reviewed research (Journal of Peace Research, vol.50, no.4).

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 or temporal bias inherent to the source collection.

Provenance

Source

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

Collection Method

Likely compiled from news reports, NGO documents, and other sources tracking organized violence.

Time Range

null

Freshness

Last updated 2026-04-03 14:26:21.246042; freshness should be verified.

Geography

South Sudan.