Per capita food supply variability (kcal/cap/day) β Value in Congo
Congo: Per capita food supply variability (kcal/cap/day) β Value was 31 kcal/cap/d in 2024. β Volatile
Per capita food supply variability (kcal/cap/day) β Value in Congo, 2001β2024
Source: Food and Agriculture Organization of the United Nations. Measured in kcal/cap/d.
Analysis
Congo recorded 31 kcal/cap/d for per capita food supply variability (kcal/cap/day) β value in 2024.
Compared with earlier readings it is up 158.3% on the previous year and down 55.7% over ten years.
Over the whole period, per capita food supply variability (kcal/cap/day) β value in Congo peaked at 93 kcal/cap/d in 2015 and was at its lowest, 12 kcal/cap/d, in 2023.
That places Congo 75th out of 162 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.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 44 kcal/cap/d | 19 kcal/cap/d | 64 kcal/cap/d | 9 |
| 2010s | 52.5 kcal/cap/d | 16 kcal/cap/d | 93 kcal/cap/d | 10 |
| 2020s | 19 kcal/cap/d | 12 kcal/cap/d | 31 kcal/cap/d | 5 |
Countries ranked near Congo
- 72 Fiji 32 kcal/cap/d compare
- 72 Mexico 32 kcal/cap/d compare
- 72 Ukraine 32 kcal/cap/d compare
- 75 Libya 31 kcal/cap/d compare
- 75 United Republic of Tanzania 31 kcal/cap/d compare
- 78 Barbados 30 kcal/cap/d compare
- 78 Costa Rica 30 kcal/cap/d compare
- 78 Latvia 30 kcal/cap/d compare
- 78 Malaysia 30 kcal/cap/d compare
- 78 Mauritania 30 kcal/cap/d compare
- 78 Philippines 30 kcal/cap/d compare
More agriculture & rural data for Congo
- Agriculture share gdp 10.11 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 10.11 (2025)
- Agricultural raw materials exports 2.4% (2023)
- Agricultural raw materials imports 1.0% (2023)
- Rural population 35.9% (2025)
- Rural population growth 1.7% (2025)
- Rural population 2.33 million (2025)
- Agriculture, forestry, and fishing, value added 10.1% (2025)
- Agriculture, forestry, and fishing, value added 1.65 billion current US$ (2025)
- Bananas β Production 86,254 t (2024)
Frequently asked questions
- What is per capita food supply variability (kcal/cap/day) β value in Congo?
- Per capita food supply variability (kcal/cap/day) β value in Congo was 31 kcal/cap/d in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest per capita food supply variability (kcal/cap/day) β value recorded in Congo?
- The highest recorded value was 93 kcal/cap/d in 2015.
- What is the lowest per capita food supply variability (kcal/cap/day) β value recorded in Congo?
- The lowest recorded value was 12 kcal/cap/d in 2023.
- How does Congo rank for per capita food supply variability (kcal/cap/day) β value?
- Congo ranks 75th out of 162 countries with data for 2024.
- Is per capita food supply variability (kcal/cap/day) β value rising or falling in Congo?
- Over the last ten years it is down 55.7%. The long-run trend across the full record is volatile.
- Where does this Congo data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Per capita food supply variability (kcal/cap/day) β Value. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 24 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The Suite of Food Security Indicators presents the core set of food security indicators. Following the recommendation of experts gathered in the Committee on World Food Security (CFS) Round Table on hunger measurement, hosted at FAO headquarters in September 2011, an initial set of indicators aiming to capture various aspects of food insecurity is presented here. The choice of the indicators has been informed by expert judgement and the availability of data with sufficient coverage to enable comparisons across regions and over time. Many of these indicators are produced and published elsewhere by FAO and other international organizations. They are reported here in a single database with the aim of building a wide food security information system. More indicators will be added to this set as more data will become available. Indicators are classified along the four dimensions of food security -- availability, access, utilization and stability.