Change in food supply, population, and agricultural land use in Bhutan
Bhutan: Change in food supply, population, and agricultural land use was 2.44 billion kilocalories per day in 2023. ▬ Flat
Change in food supply, population, and agricultural land use in Bhutan, 2019–2023
Source: Food and Agriculture Organization of the United Nations (2025) – with major processing by Our World in Data. Measured in kilocalories per day.
Analysis
Bhutan recorded 2.44 billion kilocalories per day for change in food supply, population, and agricultural land use in 2023. That is the lowest value across all 5 years on record.
That represents a change of down 1.5% on the previous year and down 1.3% over five years.
Bhutan ranks 158th of 191 countries on this measure, in the bottom quarter.
Change in food supply, population, and agricultural land use in Bhutan, year by year
| Year | kilocalories per day | Change |
|---|---|---|
| 2019 | 2.47 billion kilocalories per day | — |
| 2020 | 2.51 billion kilocalories per day | +1.3% |
| 2021 | 2.51 billion kilocalories per day | +0.1% |
| 2022 | 2.48 billion kilocalories per day | -1.2% |
| 2023 | 2.44 billion kilocalories per day | -1.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 2.47 billion kilocalories per day | 2.47 billion kilocalories per day | 2.47 billion kilocalories per day | 1 |
| 2020s | 2.49 billion kilocalories per day | 2.44 billion kilocalories per day | 2.51 billion kilocalories per day | 4 |
Countries ranked near Bhutan
- 155 Djibouti 3.14 billion kilocalories per day compare
- 156 Guyana 2.74 billion kilocalories per day compare
- 157 Fiji 2.72 billion kilocalories per day compare
- 159 Luxembourg 2.34 billion kilocalories per day compare
- 160 Montenegro 2.32 billion kilocalories per day compare
- 161 Comoros 2.03 billion kilocalories per day compare
More agriculture & rural data for Bhutan
- Agriculture, forestry, and fishing, value added (current US$), annual 3.41 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1368 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 614.64 current US$ per person (2025)
- Rural population, annual growth rate -0.8653 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.5657 units per person (2025)
- Share of GDP from agriculture 13.7% (2025)
- Agriculture as a share of GDP vs. GDP per capita 13.7% (2025)
- Agricultural raw materials exports 2.0% (2025)
- Agricultural raw materials imports 1.8% (2025)
Frequently asked questions
- What is change in food supply, population, and agricultural land use in Bhutan?
- Change in food supply, population, and agricultural land use in Bhutan was 2.44 billion kilocalories per day in 2023, according to Food and Agriculture Organization of the United Nations (2025) – with major processing by Our World in Data.
- What is the highest change in food supply, population, and agricultural land use recorded in Bhutan?
- The highest recorded value was 2.51 billion kilocalories per day in 2021.
- What is the lowest change in food supply, population, and agricultural land use recorded in Bhutan?
- The lowest recorded value was 2.44 billion kilocalories per day in 2023.
- How does Bhutan rank for change in food supply, population, and agricultural land use?
- Bhutan ranks 158th out of 191 countries with data for 2023.
- Where does this Bhutan data come from?
- The figures come from Food and Agriculture Organization of the United Nations (2025) – with major processing by Our World in Data, published as part of Change in food supply, population, and agricultural land use. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 5 observations, free to reuse under CC BY 4.0 (Our World in Data).
About this data
Total caloric supply of all agricultural produce, both crops and livestock. Data for world regions has been adjusted for changes in historical boundaries and limited coverage, so that long-term trends can be visualized.