Coefficient of variation of habitual caloric consumption distribution in Sudan
Sudan: Coefficient of variation of habitual caloric consumption distribution was 0.29 No in 2021. ▬ Flat
Coefficient of variation of habitual caloric consumption distribution in Sudan, 2013–2021
Source: Food and Agriculture Organization of the United Nations. Measured in No.
Analysis
In 2021, coefficient of variation of habitual caloric consumption distribution in Sudan stood at 0.29 No. That is the highest value across all 9 years on record.
The figure is up 3.6% over ten years.
Over the whole period, coefficient of variation of habitual caloric consumption distribution in Sudan peaked at 0.29 No in 2020 and was at its lowest, 0.28 No, in 2013.
That places Sudan 43rd out of 154 countries with data for 2021, putting it in the middle of the range.
Coefficient of variation of habitual caloric consumption distribution in Sudan, year by year
| Year | No | Change |
|---|---|---|
| 2013 | 0.28 No | — |
| 2014 | 0.28 No | +0.0% |
| 2015 | 0.28 No | +0.0% |
| 2016 | 0.28 No | +0.0% |
| 2017 | 0.28 No | +0.0% |
| 2018 | 0.28 No | +0.0% |
| 2019 | 0.28 No | +0.0% |
| 2020 | 0.29 No | +3.6% |
| 2021 | 0.29 No | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.28 No | 0.28 No | 0.28 No | 7 |
| 2020s | 0.29 No | 0.29 No | 0.29 No | 2 |
Countries ranked near Sudan
More agriculture & rural data for Sudan
- Agriculture, forestry, and fishing, value added (current US$), annual 60.3 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.2936 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 341.88 current US$ per person (2025)
- Rural population, annual growth rate 2.3 % change on previous year (2025)
- Rural population, per unit of GDP 0.0006 units per US$ of GDP (2025)
- Rural population, per capita 0.6507 units per person (2025)
- Share of GDP from agriculture 29.4% (2025)
- Agriculture as a share of GDP vs. GDP per capita 29.4% (2025)
- Agricultural raw materials exports 7.8% (2018)
- Agricultural raw materials imports 0.5% (2018)
Frequently asked questions
- What is coefficient of variation of habitual caloric consumption distribution in Sudan?
- Coefficient of variation of habitual caloric consumption distribution in Sudan was 0.29 No in 2021, according to Food and Agriculture Organization of the United Nations.
- What is the highest coefficient of variation of habitual caloric consumption distribution recorded in Sudan?
- The highest recorded value was 0.29 No in 2020.
- What is the lowest coefficient of variation of habitual caloric consumption distribution recorded in Sudan?
- The lowest recorded value was 0.28 No in 2013.
- How does Sudan rank for coefficient of variation of habitual caloric consumption distribution?
- Sudan ranks 43rd out of 154 countries with data for 2021.
- Is coefficient of variation of habitual caloric consumption distribution rising or falling in Sudan?
- Over the last ten years it is up 3.6%. The long-run trend across the full record is flat.
- Where does this Sudan data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Coefficient of variation of habitual caloric consumption distribution (real number) — Value. Statizoid updates them automatically from the source API.
Download this data
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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.