2.c.1 Indicator of Food Price Anomalies (IFPA), by Food CPI — Value in Somalia
Somalia: 2.c.1 Indicator of Food Price Anomalies (IFPA), by Food CPI — Value was -1.33 in 2024. ◆ Volatile
2.c.1 Indicator of Food Price Anomalies (IFPA), by Food CPI — Value in Somalia, 2010–2024
Source: Food and Agriculture Organization of the United Nations.
Analysis
In 2024, 2.c.1 indicator of food price anomalies (ifpa), by food cpi — value in Somalia stood at -1.33.
The figure is up 7.6% on the previous year and down 1,430.0% over ten years.
Over the whole period, 2.c.1 indicator of food price anomalies (ifpa), by food cpi — value in Somalia peaked at 1.37 in 2022 and was at its lowest, -1.52, in 2020.
Somalia ranks 180th of 186 countries on this measure, in the bottom quarter.
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 Somalia, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.77 | — |
| 2011 | 0.53 | -31.2% |
| 2012 | 0.3 | -43.4% |
| 2013 | 0.1 | -66.7% |
| 2014 | 0.1 | +0.0% |
| 2015 | 0.26 | +160.0% |
| 2016 | 0.1 | -61.5% |
| 2017 | -0.02 | -120.0% |
| 2018 | 0.8 | -4100.0% |
| 2019 | 0.17 | -78.8% |
| 2020 | -1.52 | -994.1% |
| 2021 | -0.66 | -56.6% |
| 2022 | 1.37 | -307.6% |
| 2023 | -1.44 | -205.1% |
| 2024 | -1.33 | -7.6% |
Somalia compared with similar countries
- Somalia's -1.33 is below the median for low income countries, which is 0.08. (20 countries reporting)
- Somalia's -1.33 is below the median for Sub-Saharan Africa, which is 0.22. (42 countries reporting)
Biggest year-on-year movements
Years where 2.c.1 Indicator of Food Price Anomalies (IFPA), by Food CPI — Value in Somalia changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2018 | +4100.0% | -0.02 | 0.8 |
| 2020 | -994.1% | 0.17 | -1.52 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.311 | -0.02 | 0.8 | 10 |
| 2020s | -0.716 | -1.52 | 1.37 | 5 |
Countries ranked near Somalia
- 177 Czechia -1.2 compare
- 178 Sudan -1.22 compare
- 179 Afghanistan -1.29 compare
- 181 Palau -1.37 compare
- 182 Saint Lucia -1.49 compare
- 183 Kazakhstan -1.54 compare
More agriculture & rural data for Somalia
- Agriculture, forestry, and fishing, value added (current US$), annual -13.31 % change on previous year (1990)
- Agriculture, forestry, and fishing, value added (current US$), per 0.5579 current US$ per US$ of GDP (1990)
- Agriculture, forestry, and fishing, value added (current US$), per 81.24 current US$ per person (1990)
- Rural population, annual growth rate 2.21 % change on previous year (2025)
- Rural population, per unit of GDP 0.0007 units per US$ of GDP (2025)
- Rural population, per capita 0.4486 units per person (2025)
- Share of GDP from agriculture 55.8% (1990)
- Agriculture as a share of GDP vs. GDP per capita 55.8% (1990)
- Agricultural raw materials exports 0.7% (1982)
- Agricultural raw materials imports 7.1% (1982)
Frequently asked questions
- What is 2.c.1 indicator of food price anomalies (ifpa), by food cpi — value in Somalia?
- 2.c.1 indicator of food price anomalies (ifpa), by food cpi — value in Somalia was -1.33 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 Somalia?
- The highest recorded value was 1.37 in 2022.
- What is the lowest 2.c.1 indicator of food price anomalies (ifpa), by food cpi — value recorded in Somalia?
- The lowest recorded value was -1.52 in 2020.
- How does Somalia rank for 2.c.1 indicator of food price anomalies (ifpa), by food cpi — value?
- Somalia ranks 180th 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 Somalia?
- Over the last ten years it is down 1,430.0%. The long-run trend across the full record is volatile.
- Where does this Somalia 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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About this data
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.