Syrian Food Security Indicators from mVAM Real-Time Monitoring

mVAM mobile technology provides high-frequency food security data for humanitarian decision-making in Syria. The World Food Programme (WFP) launched this project in 2013, beginning in DRC and Somalia. This dataset contains various indicators from the mVAM databank, tailored to country-specific needs.

Use Cases

• Monitor food security trends in real-time based on high-frequency mVAM data.
• Support humanitarian decision-making based on vulnerability analysis and mapping indicators.
• Analyze country-specific food security patterns based on tailored data collection methods.

Strengths

• Data collection uses mobile technology for real-time tracking.
• Project is run by the World Food Programme (WFP), a major humanitarian organization.
• Data collection methods are tailored to the needs of each country.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2026-05-07 11:05:57.039483; freshness should be verified.

Provenance

Source

WFP - World Food Programme

Collection Method

Mobile Vulnerability Analysis and Mapping (mVAM) project using mobile technology.

Freshness

Last updated 2026-05-07 11:05:57.039483

Geography

Syrian Arab Republic