DRC Acute Food Insecurity Projections for 2020

Democratic Republic of the Congo geospatial data provides FEWS NET acute food insecurity classifications for a near-term projection in 2020. The dataset was created by the Famine Early Warning Systems Network (FEWS NET) and is available in GEOJSON and KML formats. It was last updated in April 2026.

Use Cases

• Mapping projected acute food insecurity classifications across DRC administrative units using geospatial polygons.
• Analyzing spatial patterns of food crisis severity for 2020 based on FEWS NET's IPC/CH classification system.
• Integrating food insecurity projection layers with other geospatial data like population density or rainfall for composite risk analysis.

Strengths

• Data is provided in standard geospatial formats (GEOJSON, KML) for immediate GIS use.
• Projections are from FEWS NET, a leading authority on food security early warning.
• Released under a permissive CC-BY-4.0 license for broad reuse.

Limitations

• Dataset size, row count, and specific column schema are unknown.
• Contains only a single year (2020) of projection data, limiting temporal analysis.
• Geographic scope is limited to the Democratic Republic of the Congo.

Provenance

Source

Famine Early Warning Systems Network (FEWS NET).

Collection Method

Near-term projection of acute food insecurity classifications, likely based on the Integrated Food Security Phase Classification (IPC) or Cadre Harmonisé (CH) framework.

Time Range

2020 (projection).

Freshness

Data reflects a 2020 projection but was last updated in the platform in April 2026.

Geography

Democratic Republic of the Congo.