Sugar (Raw Equivalent) — Processing 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
Sugar (Raw Equivalent) — Processing is currently reported for 100 countries. The highest value is 5,042 1000 t in China; the lowest is 0 1000 t in Polynesia.
The median across all reporting countries is 22.5 1000 t, and the mean is 201 1000 t.
Over the past decade 45 countries rose and 30 fell. The largest increase was in Poland (up 8,700.0%), and the largest decrease in Estonia (down 100.0%).
Sugar (Raw Equivalent) — Processing: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 5,042 1000 t | 2023 | down 15.0% | rising |
| 2 | China, mainland | 5,003 1000 t | 2023 | down 15.1% | rising |
| 3 | Thailand | 2,296 1000 t | 2023 | up 223.4% | rising |
| 4 | Bangladesh | 1,125 1000 t | 2023 | up 28.4% | rising |
| 5 | Russian Federation | 883 1000 t | 2023 | down 28.1% | falling |
| 6 | Malaysia | 428 1000 t | 2023 | up 14.7% | rising |
| 7 | Iraq | 377 1000 t | 2023 | — | volatile |
| 8 | Australia and New Zealand | 372 1000 t | 2023 | down 19.3% | falling |
| 9 | Australia | 359 1000 t | 2023 | down 20.6% | falling |
| 10 | Mexico | 314 1000 t | 2023 | up 336.1% | volatile |
| 11 | Peru | 309 1000 t | 2023 | up 10.8% | rising |
| 12 | Austria | 270 1000 t | 2023 | up 8.0% | rising |
| 13 | Ecuador | 259 1000 t | 2023 | down 3.0% | flat |
| 14 | Bolivia (Plurinational State of) | 197 1000 t | 2023 | down 10.5% | rising |
| 15 | Guatemala | 179 1000 t | 2023 | up 188.7% | volatile |
| 16 | Serbia | 177 1000 t | 2023 | up 216.1% | rising |
| 17 | Belarus | 140 1000 t | 2023 | down 13.0% | falling |
| 18 | Viet Nam | 135 1000 t | 2023 | up 542.9% | volatile |
| 19 | Germany | 129 1000 t | 2023 | up 41.8% | rising |
| 20 | Algeria | 127 1000 t | 2023 | up 42.7% | rising |
| 21 | Iran (Islamic Republic of) | 113 1000 t | 2023 | up 54.8% | rising |
| 22 | Spain | 101 1000 t | 2023 | up 165.8% | volatile |
| 22 | Republic of Korea | 101 1000 t | 2023 | up 90.6% | rising |
| 24 | Poland | 88 1000 t | 2023 | up 8,700.0% | volatile |
| 25 | Nicaragua | 79 1000 t | 2023 | up 88.1% | rising |
| 26 | Czechia | 78 1000 t | 2023 | down 30.4% | falling |
| 27 | Belgium | 69 1000 t | 2023 | down 32.4% | falling |
| 28 | Zambia | 67 1000 t | 2023 | up 1,016.7% | volatile |
| 29 | Netherlands (Kingdom of the) | 62 1000 t | 2023 | up 244.4% | volatile |
| 30 | Zimbabwe | 61 1000 t | 2023 | down 28.2% | flat |
| 31 | Azerbaijan | 60 1000 t | 2023 | up 1.7% | rising |
| 32 | Mongolia | 58 1000 t | 2023 | up 190.0% | rising |
| 33 | France | 51 1000 t | 2023 | — | volatile |
| 34 | United Republic of Tanzania | 48 1000 t | 2023 | — | volatile |
| 35 | Angola | 44 1000 t | 2023 | up 7.3% | rising |
| 36 | United Arab Emirates | 43 1000 t | 2023 | unchanged | flat |
| 36 | Namibia | 43 1000 t | 2023 | up 43.3% | rising |
| 38 | Slovakia | 41 1000 t | 2023 | up 32.3% | rising |
| 39 | Lao People's Democratic Republic | 39 1000 t | 2023 | up 8.3% | rising |
| 40 | Jordan | 38 1000 t | 2023 | up 3,700.0% | volatile |
| 41 | Saudi Arabia | 37 1000 t | 2023 | down 5.1% | falling |
| 42 | El Salvador | 32 1000 t | 2023 | up 700.0% | volatile |
| 43 | Brazil | 31 1000 t | 2023 | up 34.8% | rising |
| 43 | Uganda | 31 1000 t | 2023 | up 10.7% | rising |
| 45 | China, Taiwan Province of | 30 1000 t | 2023 | up 11.1% | rising |
| 46 | Kyrgyzstan | 26 1000 t | 2023 | down 39.5% | rising |
| 46 | Pakistan | 26 1000 t | 2023 | up 62.5% | rising |
| 48 | Morocco | 25 1000 t | 2023 | unchanged | falling |
| 49 | Georgia | 24 1000 t | 2023 | up 242.9% | volatile |
| 49 | India | 24 1000 t | 2023 | up 166.7% | rising |
| 51 | Lithuania | 21 1000 t | 2023 | down 48.8% | falling |
| 51 | Nepal | 21 1000 t | 2023 | up 31.2% | rising |
| 51 | Romania | 21 1000 t | 2023 | up 600.0% | volatile |
| 51 | Sweden | 21 1000 t | 2023 | down 12.5% | falling |
| 55 | Fiji | 18 1000 t | 2023 | down 33.3% | falling |
| 55 | Cambodia | 18 1000 t | 2023 | down 52.6% | volatile |
| 55 | Melanesia | 18 1000 t | 2023 | down 33.3% | falling |
| 55 | Syrian Arab Republic | 18 1000 t | 2023 | down 67.3% | falling |
| 59 | Hungary | 17 1000 t | 2023 | down 22.7% | falling |
| 60 | Lebanon | 16 1000 t | 2023 | unchanged | falling |
| 61 | Colombia | 15 1000 t | 2023 | up 15.4% | rising |
| 61 | Caribbean | 15 1000 t | 2023 | up 15.4% | rising |
| 63 | Costa Rica | 14 1000 t | 2023 | unchanged | flat |
| 63 | Honduras | 14 1000 t | 2023 | unchanged | falling |
| 63 | Trinidad and Tobago | 14 1000 t | 2023 | up 16.7% | rising |
| 63 | Ukraine | 14 1000 t | 2023 | down 36.4% | falling |
| 67 | Argentina | 13 1000 t | 2023 | up 8.3% | flat |
| 67 | Croatia | 13 1000 t | 2023 | down 18.8% | falling |
| 67 | Sri Lanka | 13 1000 t | 2023 | up 44.4% | rising |
| 67 | New Zealand | 13 1000 t | 2023 | up 62.5% | rising |
| 71 | China, Hong Kong SAR | 10 1000 t | 2023 | unchanged | flat |
| 72 | Armenia | 9 1000 t | 2023 | down 30.8% | flat |
| 72 | Gambia | 9 1000 t | 2023 | unchanged | rising |
| 72 | Italy | 9 1000 t | 2023 | up 12.5% | rising |
| 75 | Kuwait | 8 1000 t | 2023 | up 166.7% | rising |
| 76 | Finland | 7 1000 t | 2023 | down 22.2% | falling |
| 77 | Venezuela (Bolivarian Republic of) | 5 1000 t | 2023 | down 16.7% | falling |
| 78 | Kenya | 4 1000 t | 2023 | up 33.3% | rising |
| 78 | Rwanda | 4 1000 t | 2023 | up 300.0% | volatile |
| 80 | Israel | 3 1000 t | 2023 | unchanged | flat |
| 81 | Bhutan | 2 1000 t | 2023 | — | flat |
| 81 | Cameroon | 2 1000 t | 2023 | up 100.0% | rising |
| 81 | Slovenia | 2 1000 t | 2023 | unchanged | rising |
| 81 | Republic of Moldova | 2 1000 t | 2023 | — | volatile |
| 85 | Bulgaria | 1 1000 t | 2023 | unchanged | volatile |
| 85 | Bosnia and Herzegovina | 1 1000 t | 2023 | down 50.0% | falling |
| 85 | North Macedonia | 1 1000 t | 2017 | — | volatile |
| 85 | Mauritius | 1 1000 t | 2023 | unchanged | falling |
| 85 | Uruguay | 1 1000 t | 2023 | down 50.0% | falling |
| 85 | Uzbekistan | 1 1000 t | 2023 | unchanged | flat |
| 91 | Albania | 0 1000 t | 2023 | — | flat |
| 91 | Cuba | 0 1000 t | 2014 | — | flat |
| 91 | Dominican Republic | 0 1000 t | 2014 | — | flat |
| 91 | Egypt | 0 1000 t | 2023 | — | volatile |
| 91 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 91 | Saint Lucia | 0 1000 t | 2023 | down 100.0% | volatile |
| 91 | Madagascar | 0 1000 t | 2023 | — | flat |
| 91 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | down 100.0% | volatile |
| 91 | Samoa | 0 1000 t | 2023 | — | flat |
| 91 | Polynesia | 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 14,963 1000 t
- Asia 10,120 1000 t
- Eastern Asia 5,201 1000 t
- South-eastern Asia 2,915 1000 t
- Europe 2,218 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,020 1000 t
- Americas 1,551 1000 t
- Least Developed Countries (LDCs) 1,437 1000 t
- Southern Asia 1,323 1000 t
- Eastern Europe 1,285 1000 t
- European Union (27) 1,000 1000 t
- South America 849 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.