Coefficient of variation of habitual caloric consumption distribution in Peru
Peru: Coefficient of variation of habitual caloric consumption distribution was 0.25 No in 2024. ▬ Flat
Coefficient of variation of habitual caloric consumption distribution in Peru, 2001–2024
Source: Food and Agriculture Organization of the United Nations. Measured in No.
Analysis
The most recent figure for coefficient of variation of habitual caloric consumption distribution in Peru is 0.25 No, measured in 2024.
Compared with earlier readings it is down 3.8% on the previous year and up 8.7% over ten years.
Over the whole period, coefficient of variation of habitual caloric consumption distribution in Peru peaked at 0.28 No in 2020 and was at its lowest, 0.23 No, in 2012.
Peru ranks 77th of 154 countries on this measure, in the middle of the range.
Coefficient of variation of habitual caloric consumption distribution in Peru, year by year
| Year | No | Change |
|---|---|---|
| 2001 | 0.27 No | — |
| 2002 | 0.27 No | +0.0% |
| 2003 | 0.27 No | +0.0% |
| 2004 | 0.27 No | +0.0% |
| 2005 | 0.26 No | -3.7% |
| 2006 | 0.26 No | +0.0% |
| 2007 | 0.25 No | -3.8% |
| 2008 | 0.25 No | +0.0% |
| 2009 | 0.24 No | -4.0% |
| 2010 | 0.24 No | +0.0% |
| 2011 | 0.24 No | +0.0% |
| 2012 | 0.23 No | -4.2% |
| 2013 | 0.23 No | +0.0% |
| 2014 | 0.23 No | +0.0% |
| 2015 | 0.24 No | +4.3% |
| 2016 | 0.25 No | +4.2% |
| 2017 | 0.25 No | +0.0% |
| 2018 | 0.25 No | +0.0% |
| 2019 | 0.25 No | +0.0% |
| 2020 | 0.28 No | +12.0% |
| 2021 | 0.26 No | -7.1% |
| 2022 | 0.26 No | +0.0% |
| 2023 | 0.26 No | +0.0% |
| 2024 | 0.25 No | -3.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.26 No | 0.24 No | 0.27 No | 9 |
| 2010s | 0.241 No | 0.23 No | 0.25 No | 10 |
| 2020s | 0.262 No | 0.25 No | 0.28 No | 5 |
Countries ranked near Peru
- 77 Bangladesh 0.25 No compare
- 77 Cameroon 0.25 No compare
- 77 Dominican Republic 0.25 No compare
- 77 Guyana 0.25 No compare
- 77 Jamaica 0.25 No compare
- 77 Kuwait 0.25 No compare
- 77 Myanmar 0.25 No compare
- 77 Philippines 0.25 No compare
- 77 Uzbekistan 0.25 No compare
More agriculture & rural data for Peru
- Agriculture, forestry, and fishing, value added (current US$), annual 12.59 % change on previous year (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0747 current US$ per US$ of GDP (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 637.02 current US$ per person (2024)
- Rural population, annual growth rate -1.72 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.144 units per person (2025)
- Share of GDP from agriculture 7.5% (2024)
- Agriculture as a share of GDP vs. GDP per capita 7.5% (2024)
- Agricultural raw materials exports 0.6% (2024)
- Agricultural raw materials imports 1.2% (2024)
Frequently asked questions
- What is coefficient of variation of habitual caloric consumption distribution in Peru?
- Coefficient of variation of habitual caloric consumption distribution in Peru was 0.25 No in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest coefficient of variation of habitual caloric consumption distribution recorded in Peru?
- The highest recorded value was 0.28 No in 2020.
- What is the lowest coefficient of variation of habitual caloric consumption distribution recorded in Peru?
- The lowest recorded value was 0.23 No in 2012.
- How does Peru rank for coefficient of variation of habitual caloric consumption distribution?
- Peru ranks 77th out of 154 countries with data for 2024.
- Is coefficient of variation of habitual caloric consumption distribution rising or falling in Peru?
- Over the last ten years it is up 8.7%. The long-run trend across the full record is flat.
- Where does this Peru 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.
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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.