About HungerMapLIVE

HungerMapLIVE is the World Food Programme (WFP)’s global hunger monitoring system. It combines key metrics from various data sources – such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data – to help assess, monitor and predict the magnitude and severity of hunger in near real-time. The resulting analysis is displayed on an interactive map that helps WFP staff, key decision makers and the broader humanitarian community to make more informed and timely decisions relating to food security.

WFP’s Hunger Monitoring Unit in the Research, Assessment and Monitoring Division conducts real-time food security monitoring to track the latest food security trends. In areas where limited or no data is available, we use machine learning-based predictive models to estimate the food security situation.

The platform covers 94 countries, including countries where WFP has operations as well as most lower and lower-middle income countries (as classified by the World Bank). For any questions, comments, or if you would like further information, please get in touch by sending an email to wfp.mvam@wfp.org.

General Questions

Near real-time food security continuous monitoring

Predictive analysis

For first-level administrative areas where daily updated survey data is not available, the prevalence of people with poor or borderline food consumption (FCS) and the prevalence of people with reduced coping strategy index (rCSI) ≥ 19 is estimated with a predictive model.