UCDP Georeferenced Event Data for Russia: Daily Conflict Events

A dataset of individual organized violence events in the Russian Federation, geocoded to the village level and disaggregated to single days. It is the most disaggregated dataset from the Uppsala Conflict Data Program (UCDP), with methodology described in the Journal of Peace Research (2013). The data was last updated on the HDX platform in April 2026.

Use Cases

• Modeling conflict intensity and spread based on georeferenced event locations.
• Analyzing temporal patterns of violence based on daily event disaggregation.
• Training predictive models for conflict risk using fine-grained spatial and temporal features.
• Conducting sub-national comparative studies based on village-level event data.

Strengths

• Events are geocoded to the level of individual villages, enabling high-resolution spatial analysis.
• Temporal duration is disaggregated to single, individual days for precise time-series study.
• Methodology is peer-reviewed and published in the Journal of Peace Research (2013).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Data may reflect geographic or source bias inherent to the UCDP collection methodology.

Provenance

Source

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

Collection Method

Data collection methodology for georeferenced events described by Sundberg & Melander (2013) and Högbladh (2019).

Time Range

null

Freshness

Last updated 2026-04-03 14:26:10.040000; freshness should be verified.

Geography

Russian Federation