UCDP Georeferenced Event Data: Yemen Conflict Events at Village-Level

UCDP's most disaggregated dataset covers individual events of organized violence occurring at a specific time and place. Events are geo-coded down to the level of individual villages 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 the HDX platform in April 2026.

Use Cases

• Modeling conflict intensity and spread based on geo-coded event locations.
• Analyzing temporal patterns of violence based on daily event durations.
• Conducting micro-level case studies of organized violence based on village-level granularity.
• Training machine learning models for conflict forecasting based on disaggregated event data.

Strengths

• Events are geo-coded to the level of individual villages, providing high spatial precision.
• Temporal durations are disaggregated to single, individual days, offering fine-grained time data.
• Dataset is described as UCDP's most disaggregated dataset for organized violence events.

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 temporal bias inherent to the source collection methodology.

Provenance

Source

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

Collection Method

Likely compiled from news reports, humanitarian agency records, and other conflict monitoring sources.

Time Range

null

Freshness

Last updated 2026-04-03 14:27:15.152509; freshness should be verified.

Geography

Yemen