DRC Acute Food Insecurity Classifications for 2019

Geographic data from FEWS NET classifies acute food insecurity across the Democratic Republic of the Congo for the 2019 period. The data is provided in geospatial formats (GeoJSON, KML) and was last updated on the HDX platform in April 2026. It originates from the Famine Early Warning Systems Network (FEWS NET).

Use Cases

• Map acute food insecurity classifications across DRC administrative units for 2019.
• Analyze the spatial distribution of projected food insecurity levels using GeoJSON geometry and classification attributes.
• Integrate KML data layers into existing crisis mapping platforms for situational awareness.
• Conduct time-series analysis of food security when combined with other FEWS NET projection datasets.

Strengths

• Data is provided in two standard geospatial formats: GeoJSON and KML.
• Published under a permissive CC-BY-4.0 license.
• Sourced from FEWS NET, a recognized authority on food security analysis.

Limitations

• The core FEWS NET Data Warehouse referenced in the description is currently unavailable, limiting data verification.
• Specific data volume (row count, file size) and column schema are unknown.
• The dataset is temporally limited to the 2019 projection period.

Provenance

Source

Famine Early Warning Systems Network (FEWS NET).

Collection Method

Projection and classification based on FEWS NET's food security analysis framework.

Time Range

2019

Freshness

The dataset metadata was last updated in April 2026, but the underlying data covers 2019.

Geography

Democratic Republic of the Congo.