2.c.1 Indicator of Food Price Anomalies (IFPA), by Food CPI — Value in Djibouti

Djibouti: 2.c.1 Indicator of Food Price Anomalies (IFPA), by Food CPI — Value was -0.38 in 2024. ◆ Volatile

Latest (2024)
-0.38
Change on year
down 153.3%
World rank
117th
of 186 countries
All-time high
0.95
in 2022
All-time low
-1.39
in 2010
Years of data
15
2010–2024

2.c.1 Indicator of Food Price Anomalies (IFPA), by Food CPI — Value in Djibouti, 2010–2024

-1.5-1-0.500.512010201720242010: -1.42011: -0.122012: -0.872013: -1.12014: -0.622015: 0.692016: 0.452017: -0.122018: -0.272019: 0.222020: 0.232021: -0.232022: 0.952023: -0.152024: -0.38

Source: Food and Agriculture Organization of the United Nations.

Analysis

The most recent figure for 2.c.1 indicator of food price anomalies (ifpa), by food cpi — value in Djibouti is -0.38, measured in 2024.

The figure is down 153.3% on the previous year and up 38.7% over ten years.

Over the whole period, 2.c.1 indicator of food price anomalies (ifpa), by food cpi — value in Djibouti peaked at 0.95 in 2022 and was at its lowest, -1.39, in 2010.

That places Djibouti 117th out of 186 countries with data for 2024, putting it in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

2.c.1 Indicator of Food Price Anomalies (IFPA), by Food CPI — Value in Djibouti, year by year

Annual values for 2.c.1 Indicator of Food Price Anomalies (IFPA), by Food CPI — Value in Djibouti, 2010 to 2024.
Year Value Change
2010 -1.39
2011 -0.12 -91.4%
2012 -0.87 +625.0%
2013 -1.08 +24.1%
2014 -0.62 -42.6%
2015 0.69 -211.3%
2016 0.45 -34.8%
2017 -0.12 -126.7%
2018 -0.27 +125.0%
2019 0.22 -181.5%
2020 0.23 +4.5%
2021 -0.23 -200.0%
2022 0.95 -513.0%
2023 -0.15 -115.8%
2024 -0.38 +153.3%

Djibouti compared with similar countries

  • Djibouti's -0.38 is below the median for lower middle income countries, which is -0.04, 9.5× the median. (41 countries reporting)
  • Djibouti's -0.38 is below the median for Middle East, North Africa, Afghanistan & Pakistan, which is -0.19, 2.0× the median. (21 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s -0.311 -1.39 0.69 10
2020s 0.084 -0.38 0.95 5

Countries ranked near Djibouti

  1. 114 Thailand -0.36 compare
  2. 115 Argentina -0.37 compare
  3. 115 Morocco -0.37 compare
  4. 117 Dominican Republic -0.38 compare
  5. 119 Bulgaria -0.4 compare
  6. 119 Spain -0.4 compare
  7. 119 Trinidad and Tobago -0.4 compare
  8. 119 United Kingdom of Great Britain and Northern Ireland -0.4 compare

See the full ranking of 201 places →

More agriculture & rural data for Djibouti

All data for Djibouti →

Frequently asked questions

What is 2.c.1 indicator of food price anomalies (ifpa), by food cpi — value in Djibouti?
2.c.1 indicator of food price anomalies (ifpa), by food cpi — value in Djibouti was -0.38 in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest 2.c.1 indicator of food price anomalies (ifpa), by food cpi — value recorded in Djibouti?
The highest recorded value was 0.95 in 2022.
What is the lowest 2.c.1 indicator of food price anomalies (ifpa), by food cpi — value recorded in Djibouti?
The lowest recorded value was -1.39 in 2010.
How does Djibouti rank for 2.c.1 indicator of food price anomalies (ifpa), by food cpi — value?
Djibouti ranks 117th out of 186 countries with data for 2024.
Is 2.c.1 indicator of food price anomalies (ifpa), by food cpi — value rising or falling in Djibouti?
Over the last ten years it is up 38.7%. The long-run trend across the full record is volatile.
Where does this Djibouti data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of 2.c.1 Indicator of Food Price Anomalies (IFPA), by Food CPI — Value. Statizoid updates them automatically from the source API.

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2.c.1 Indicator of Food Price Anomalies (IFPA), by Food CPI — Value in Djibouti. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 September 2026, from https://agriculture.statizoid.com/stat/2-c-1-indicator-of-food-price-anomalies-ifpa-by-food-cpi-value/djibouti/

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About this data

Indicator
2.c.1 Indicator of Food Price Anomalies (IFPA), by Food CPI — Value
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
201 places, 3,005 data points, 2010–2024
Last refreshed

As the custodian agency of 22 SDG indicators, the Food and Agriculture Organization of the United Nations (FAO) is responsible for curating and refining the methodologies of these indicators, collecting data from national sources, ensuring their quality and compatibility with applicable standards and classifications, and disseminating data at global level. This FAOSTAT domain complements the global SDG database administered by the United Nations Statistical Division (UNSD), as well as FAO’s SDG indicators portal, by providing access to the available data for all SDG Indicators under FAO custodianship. While this metadata page provides summary information on all SDG indicators data disseminated through FAOSTAT, indicator-specific metadata can be accessed from the link on the right hand navigation column. This additional metadata file provides details on the methodology used to compile each indicators, their data sources and the contact information of the relevant FAO focal point. It includes the links to the official SDG Indicator metadata documents accessible from the UNSD global SDG database.SDG Indicators under FAO custodianship, consisting of 22 indicators and 66 series that fall under six goals: • Goal 2: End hunger, achieve food security and improved nutrition and promote sustainable agriculture.• Goal 5: Achieve gender equality and empower all women and girls.• Goal 6: Clean water and sanitation: Ensure availability and sustainable management of water and sanitation for all.• Goal 12: Responsible consumption and production.• Goal 14: Life below water: Conserve and sustainably use the oceans, seas and marine resources.• Goal 15: Life on land: Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss.