Democratic Republic of the Congo Food Security Indicators via Mobile Surveys

The World Food Programme launched its mVAM project in 2013, beginning in the Democratic Republic of the Congo. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data for humanitarian decision-making. This dataset contains mVAM databank data covering various indicators.

Use Cases

• Monitor real-time food security trends based on high-frequency mobile survey data
• Support humanitarian decision-making based on vulnerability analysis and mapping indicators
• Analyze food security patterns in the Democratic Republic of the Congo based on mVAM tracking

Strengths

• Data collection began in 2013, providing a multi-year trend series
• High-frequency data collection via mobile technology supports real-time analysis
• Data is tailored to the needs of the country where mVAM operates

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 bias inherent to mVAM's operational focus

Provenance

Source

WFP - World Food Programme

Collection Method

Mobile Vulnerability Analysis and Mapping (mVAM) surveys

Freshness

Last updated 2026-05-07 11:06:38.451877; freshness should be verified

Geography

Democratic Republic of the Congo