Food Insecurity
Summary of Food Inscurity
Fies Indicators over time
This chart displays the levels of food insecurity in Indonesia from November 2024 to October 2025, highlighting a general downward trend across all FIES (Food Insecurity Experience Scale) indicators, with milder concerns like “worried about not having enough food” remaining most prevalent, while severe experiences such as “went without eating for a whole day” affected the smallest portion of the population.
Distribution of number of FIES deprivations
Indonesia’s FIES deprivation data reveals that a majority of the population experiences zero food insecurity indicators, with percentages steadily declining as severity increases, demonstrating that food insecurity follows a clear gradient with most citizens experiencing either none or few food challenges.
Regional comparison for latest month
Regional food insecurity patterns across Indonesia’s major islands display distinct variations, with Nusa Tenggara and Maluku showing larger footprints suggesting more severe challenges, while Kalimantan and Papua exhibit more compact profiles indicating potentially fewer or less intense food security issues across measured dimensions.
Variables used on this page
Variables Used in Food Insecurity and Inflation Analysis
Food Insecurity Measures (FIES)
totfoodinsec: Total food insecurity score Individual FIES indicators:
worried: Worried about not having enough food
unhealthy: Unable to eat healthy/nutritious foods
low_diversity: Limited variety in diet
skip_meal: Skipped meals
eat_less: Ate less than should have
ran_out: Ran out of food
went_hungry: Went hungry
whole_day: Went whole day without eating
Price and Inflation Variables
- CPI: Regional inflation measure
- pdef3: Spatial deflator/local cost of living index
- loc_cost_quint: Location cost quintiles (1-5)
Socioeconomic Variables
- ln_pc_def_inc: Log of per capita deflated income
- quint: Income quintile (1=Poorest to 5=Richest)
- hhag: Agricultural household indicator
- popw: Population weight for representative statistics