Pimento — Production by country
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...
What the numbers show
Pimento — Production is currently reported for 64 countries. The highest value is 2,782 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 7.5 1000 t, and the mean is 94.89 1000 t.
Over the past decade 28 countries rose and 7 fell. The largest increase was in Bangladesh (up 550.0%), and the largest decrease in Zambia (down 100.0%).
Pimento — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 2,782 1000 t | 2023 | up 86.5% | rising |
| 2 | Bangladesh | 663 1000 t | 2023 | up 550.0% | volatile |
| 3 | Thailand | 329 1000 t | 2023 | up 35.4% | rising |
| 4 | China, mainland | 326 1000 t | 2023 | up 8.7% | rising |
| 4 | China | 326 1000 t | 2023 | up 8.7% | rising |
| 6 | Ethiopia | 298 1000 t | 2023 | up 66.5% | rising |
| 7 | Myanmar | 152 1000 t | 2023 | up 31.0% | rising |
| 8 | Côte d'Ivoire | 132 1000 t | 2023 | up 14.8% | rising |
| 9 | Pakistan | 110 1000 t | 2023 | down 24.7% | falling |
| 10 | Ghana | 109 1000 t | 2023 | up 5.8% | rising |
| 11 | Viet Nam | 100 1000 t | 2023 | up 7.5% | rising |
| 12 | Nepal | 87 1000 t | 2023 | up 222.2% | volatile |
| 13 | Nigeria | 65 1000 t | 2023 | up 8.3% | rising |
| 14 | Egypt | 64 1000 t | 2023 | up 10.3% | rising |
| 15 | Mexico | 61 1000 t | 2023 | up 1.7% | flat |
| 16 | Romania | 50 1000 t | 2017 | up 25.0% | rising |
| 17 | Cameroon | 43 1000 t | 2023 | up 26.5% | rising |
| 18 | Peru | 38 1000 t | 2023 | up 5.6% | falling |
| 19 | Democratic Republic of the Congo | 37 1000 t | 2023 | unchanged | flat |
| 20 | Niger | 33 1000 t | 2023 | up 230.0% | rising |
| 21 | Morocco | 27 1000 t | 2023 | up 3.8% | rising |
| 22 | Bosnia and Herzegovina | 24 1000 t | 2023 | down 11.1% | falling |
| 23 | Tunisia | 21 1000 t | 2023 | up 10.5% | rising |
| 24 | Caribbean | 20 1000 t | 2023 | up 33.3% | rising |
| 24 | Jamaica | 20 1000 t | 2023 | up 33.3% | rising |
| 24 | Hungary | 20 1000 t | 2018 | up 42.9% | rising |
| 27 | Uzbekistan | 19 1000 t | 2023 | up 216.7% | volatile |
| 28 | Türkiye | 16 1000 t | 2023 | unchanged | flat |
| 29 | Algeria | 15 1000 t | 2023 | unchanged | rising |
| 30 | Cambodia | 13 1000 t | 2023 | up 8.3% | rising |
| 30 | Lao People's Democratic Republic | 13 1000 t | 2023 | up 8.3% | rising |
| 32 | Spain | 8 1000 t | 2021 | up 33.3% | rising |
| 33 | United Republic of Tanzania | 7 1000 t | 2023 | down 12.5% | falling |
| 34 | Senegal | 5 1000 t | 2023 | unchanged | rising |
| 35 | Serbia | 4 1000 t | 2023 | unchanged | flat |
| 35 | Sierra Leone | 4 1000 t | 2023 | unchanged | flat |
| 35 | North Macedonia | 4 1000 t | 2023 | down 20.0% | flat |
| 35 | Iran (Islamic Republic of) | 4 1000 t | 2023 | unchanged | rising |
| 39 | Argentina | 3 1000 t | 2023 | unchanged | flat |
| 39 | Uganda | 3 1000 t | 2023 | unchanged | flat |
| 39 | Kenya | 3 1000 t | 2023 | unchanged | falling |
| 42 | Cabo Verde | 2 1000 t | 2023 | up 100.0% | rising |
| 42 | Czechia | 2 1000 t | 2018 | down 33.3% | falling |
| 42 | Madagascar | 2 1000 t | 2023 | unchanged | falling |
| 42 | Malaysia | 2 1000 t | 2023 | unchanged | flat |
| 46 | Malawi | 1 1000 t | 2023 | down 50.0% | falling |
| 46 | Bulgaria | 1 1000 t | 2018 | unchanged | falling |
| 46 | Djibouti | 1 1000 t | 2023 | unchanged | volatile |
| 46 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | falling |
| 46 | Slovenia | 1 1000 t | 2018 | unchanged | flat |
| 46 | Syrian Arab Republic | 1 1000 t | 2023 | unchanged | flat |
| 46 | Zimbabwe | 1 1000 t | 2023 | unchanged | volatile |
| 53 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 53 | Portugal | 0 1000 t | 2017 | — | flat |
| 53 | Melanesia | 0 1000 t | 2023 | — | flat |
| 53 | Maldives | 0 1000 t | 2023 | — | flat |
| 53 | Slovakia | 0 1000 t | 2018 | — | flat |
| 53 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 53 | Grenada | 0 1000 t | 2023 | — | flat |
| 53 | Greece | 0 1000 t | 2018 | — | volatile |
| 53 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 53 | Bhutan | 0 1000 t | 2023 | — | flat |
| 53 | Timor-Leste | 0 1000 t | 2020 | — | flat |
| 53 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 5,688 1000 t
- Asia 4,618 1000 t
- Southern Asia 3,646 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,758 1000 t
- Least Developed Countries (LDCs) 1,345 1000 t
- Africa 916 1000 t
- South-eastern Asia 609 1000 t
- Low Income Food Deficit Countries (LIFDCs) 570 1000 t
- Land Locked Developing Countries (LLDCs) 472 1000 t
- Western Africa 358 1000 t
- Eastern Asia 326 1000 t
- Eastern Africa 323 1000 t
About this data
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.