Sugar & Sweeteners — Stock Variation 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...
Countries reporting
191
Highest
8,561 1000 t
India
Lowest
-1,343 1000 t
Thailand
Median
0 1000 t
Years covered
14
2010–2023
Data points
3,046
What the numbers show
Sugar & Sweeteners — Stock Variation is currently reported for 191 countries. The highest value is 8,561 1000 t in India; the lowest is -1,343 1000 t in Thailand.
The median across all reporting countries is 0 1000 t, and the mean is 90.24 1000 t.
The gap between the highest and lowest reporting country is a factor of about 6.
Over the past decade 75 countries rose and 88 fell. The largest increase was in Poland (up 2,040.0%), and the largest decrease in Cuba (down 2,900.0%).
Sugar & Sweeteners — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 8,561 1000 t | 2023 | up 1,014.7% | volatile |
| 2 | Brazil | 6,685 1000 t | 2023 | up 1,897.0% | volatile |
| 3 | Australia | 1,593 1000 t | 2023 | up 566.5% | volatile |
| 4 | Australia and New Zealand | 1,578 1000 t | 2023 | up 623.9% | volatile |
| 5 | France | 805 1000 t | 2023 | up 77.7% | volatile |
| 6 | United States | 607 1000 t | 2023 | down 20.3% | volatile |
| 7 | Turkey | 579 1000 t | 2023 | up 414.7% | volatile |
| 7 | Türkiye | 579 1000 t | 2023 | up 414.7% | volatile |
| 9 | Germany | 458 1000 t | 2023 | up 285.4% | volatile |
| 10 | United Kingdom | 374 1000 t | 2023 | up 246.3% | volatile |
| 10 | United Kingdom of Great Britain and Northern Ireland | 374 1000 t | 2023 | up 246.3% | volatile |
| 12 | Belgium | 239 1000 t | 2023 | down 13.4% | volatile |
| 13 | Guatemala | 233 1000 t | 2023 | up 629.5% | volatile |
| 14 | Libya | 220 1000 t | 2023 | up 84.9% | volatile |
| 15 | Ukraine | 213 1000 t | 2023 | up 127.6% | volatile |
| 16 | Bangladesh | 178 1000 t | 2023 | up 150.7% | volatile |
| 17 | Belarus | 174 1000 t | 2023 | up 229.9% | volatile |
| 17 | Spain | 174 1000 t | 2023 | up 1,238.5% | volatile |
| 19 | Burkina Faso | 166 1000 t | 2023 | up 163.5% | volatile |
| 20 | Russia | 102 1000 t | 2023 | up 117.5% | volatile |
| 20 | Russian Federation | 102 1000 t | 2023 | up 117.5% | volatile |
| 22 | Poland | 97 1000 t | 2023 | up 2,040.0% | volatile |
| 23 | Senegal | 87 1000 t | 2023 | up 50.0% | volatile |
| 24 | Iraq | 79 1000 t | 2023 | up 141.6% | volatile |
| 25 | Egypt | 75 1000 t | 2023 | up 164.7% | volatile |
| 26 | Yemen | 72 1000 t | 2023 | up 1,128.6% | volatile |
| 27 | Philippines | 59 1000 t | 2023 | up 326.9% | volatile |
| 28 | Canada | 56 1000 t | 2023 | up 147.5% | volatile |
| 29 | Pakistan | 52 1000 t | 2023 | down 72.2% | volatile |
| 30 | Lithuania | 49 1000 t | 2023 | up 1,533.3% | volatile |
| 30 | Zimbabwe | 49 1000 t | 2023 | up 11.4% | volatile |
| 32 | Slovenia | 44 1000 t | 2023 | — | volatile |
| 33 | Cote d'Ivoire | 37 1000 t | 2023 | up 825.0% | volatile |
| 33 | Côte d'Ivoire | 37 1000 t | 2023 | up 825.0% | volatile |
| 35 | Luxembourg | 30 1000 t | 2023 | up 25.0% | volatile |
| 36 | Kyrgyzstan | 29 1000 t | 2023 | down 32.6% | volatile |
| 37 | Albania | 27 1000 t | 2023 | up 350.0% | volatile |
| 38 | Uzbekistan | 24 1000 t | 2023 | up 100.0% | volatile |
| 39 | Mongolia | 22 1000 t | 2023 | up 15.8% | volatile |
| 39 | Sweden | 22 1000 t | 2023 | up 340.0% | volatile |
| 41 | Trinidad and Tobago | 20 1000 t | 2023 | up 225.0% | volatile |
| 42 | Barbados | 18 1000 t | 2023 | up 1,000.0% | volatile |
| 42 | Namibia | 18 1000 t | 2023 | down 62.5% | volatile |
| 42 | China, Taiwan Province of | 18 1000 t | 2023 | up 135.3% | volatile |
| 45 | Morocco | 16 1000 t | 2023 | down 36.0% | volatile |
| 46 | Croatia | 15 1000 t | 2023 | down 64.3% | volatile |
| 47 | Botswana | 13 1000 t | 2023 | up 550.0% | volatile |
| 48 | Montenegro | 10 1000 t | 2023 | — | volatile |
| 49 | Armenia | 9 1000 t | 2023 | up 200.0% | volatile |
| 49 | Jamaica | 9 1000 t | 2023 | up 212.5% | volatile |
| 51 | Algeria | 8 1000 t | 2023 | up 121.6% | volatile |
| 52 | Haiti | 7 1000 t | 2023 | up 125.0% | volatile |
| 52 | Democratic Republic of the Congo | 7 1000 t | 2023 | up 120.0% | volatile |
| 54 | Latvia | 6 1000 t | 2023 | up 120.0% | volatile |
| 55 | Argentina | 4 1000 t | 2023 | up 101.6% | volatile |
| 55 | United Republic of Tanzania | 4 1000 t | 2023 | up 108.3% | volatile |
| 57 | Iceland | 3 1000 t | 2023 | — | volatile |
| 58 | Antigua and Barbuda | 2 1000 t | 2023 | — | volatile |
| 58 | Kazakhstan | 2 1000 t | 2023 | down 95.0% | volatile |
| 58 | Zambia | 2 1000 t | 2023 | down 97.3% | volatile |
| 58 | China, Macao SAR | 2 1000 t | 2023 | up 150.0% | volatile |
| 62 | Azerbaijan | 1 1000 t | 2023 | up 101.9% | volatile |
| 62 | Cameroon | 1 1000 t | 2023 | down 98.3% | volatile |
| 62 | Georgia | 1 1000 t | 2023 | down 88.9% | volatile |
| 62 | Ghana | 1 1000 t | 2023 | down 98.0% | volatile |
| 62 | Guinea | 1 1000 t | 2023 | up 105.6% | volatile |
| 62 | Greece | 1 1000 t | 2023 | down 97.1% | volatile |
| 62 | Israel | 1 1000 t | 2023 | down 96.6% | volatile |
| 62 | Italy | 1 1000 t | 2023 | up 103.2% | volatile |
| 62 | North Macedonia | 1 1000 t | 2023 | down 94.4% | volatile |
| 62 | Mauritania | 1 1000 t | 2023 | up 101.3% | volatile |
| 62 | Mauritius | 1 1000 t | 2023 | up 104.5% | volatile |
| 62 | Nigeria | 1 1000 t | 2023 | down 99.9% | volatile |
| 62 | Tonga | 1 1000 t | 2023 | — | volatile |
| 75 | Afghanistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 75 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 75 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 75 | Congo | 0 1000 t | 2023 | — | volatile |
| 75 | Comoros | 0 1000 t | 2023 | — | volatile |
| 75 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 75 | Estonia | 0 1000 t | 2023 | up 100.0% | volatile |
| 75 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 75 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 75 | Grenada | 0 1000 t | 2023 | up 100.0% | volatile |
| 75 | Kiribati | 0 1000 t | 2023 | — | volatile |
| 75 | Lebanon | 0 1000 t | 2023 | up 100.0% | volatile |
| 75 | Liberia | 0 1000 t | 2023 | — | volatile |
| 75 | Lesotho | 0 1000 t | 2023 | down 100.0% | volatile |
| 75 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 75 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 75 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 75 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 75 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 75 | Oman | 0 1000 t | 2023 | up 100.0% | volatile |
| 75 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 75 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 75 | Rwanda | 0 1000 t | 2023 | up 100.0% | volatile |
| 75 | Solomon Islands | 0 1000 t | 2023 | up 100.0% | volatile |
| 75 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 75 | Uganda | 0 1000 t | 2023 | — | flat |
| 75 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 75 | Vanuatu | 0 1000 t | 2023 | — | volatile |
| 75 | Democratic People's Republic of Korea | 0 1000 t | 2018 | down 100.0% | volatile |
| 107 | Bahamas | -1 1000 t | 2023 | up 85.7% | volatile |
| 107 | Gabon | -1 1000 t | 2023 | — | volatile |
| 107 | Maldives | -1 1000 t | 2023 | up 75.0% | volatile |
| 107 | Papua New Guinea | -1 1000 t | 2023 | down 125.0% | volatile |
| 107 | Sao Tome and Principe | -1 1000 t | 2023 | — | volatile |
| 107 | Suriname | -1 1000 t | 2023 | down 150.0% | volatile |
| 107 | Slovakia | -1 1000 t | 2023 | up 98.8% | volatile |
| 107 | Micronesia | -1 1000 t | 2023 | — | volatile |
| 107 | Cabo Verde | -1 1000 t | 2023 | — | volatile |
| 107 | Polynesia | -1 1000 t | 2023 | unchanged | volatile |
| 107 | Micronesia (Federated States of) | -1 1000 t | 2023 | — | volatile |
| 118 | Cyprus | -2 1000 t | 2023 | down 166.7% | volatile |
| 118 | Ireland | -2 1000 t | 2023 | down 105.4% | volatile |
| 118 | Saint Kitts and Nevis | -2 1000 t | 2023 | down 100.0% | volatile |
| 118 | Samoa | -2 1000 t | 2023 | down 100.0% | volatile |
| 122 | Saint Lucia | -3 1000 t | 2023 | down 200.0% | volatile |
| 122 | Sierra Leone | -3 1000 t | 2023 | down 400.0% | volatile |
| 122 | East Timor | -3 1000 t | 2023 | — | volatile |
| 122 | Timor-Leste | -3 1000 t | 2023 | — | volatile |
| 126 | Malta | -4 1000 t | 2023 | down 180.0% | volatile |
| 127 | Switzerland | -5 1000 t | 2023 | up 93.3% | volatile |
| 128 | Bosnia and Herzegovina | -6 1000 t | 2023 | down 122.2% | volatile |
| 128 | Belize | -6 1000 t | 2023 | down 20.0% | volatile |
| 128 | Bolivia (Plurinational State of) | -6 1000 t | 2023 | up 95.0% | volatile |
| 131 | China, Hong Kong SAR | -8 1000 t | 2023 | down 150.0% | volatile |
| 132 | Tajikistan | -9 1000 t | 2023 | down 550.0% | flat |
| 133 | Costa Rica | -10 1000 t | 2023 | up 65.5% | volatile |
| 133 | Guyana | -10 1000 t | 2023 | down 233.3% | volatile |
| 133 | Uruguay | -10 1000 t | 2023 | down 300.0% | volatile |
| 136 | Nicaragua | -11 1000 t | 2023 | down 125.0% | volatile |
| 136 | Qatar | -11 1000 t | 2023 | — | volatile |
| 138 | Kenya | -12 1000 t | 2023 | down 112.9% | volatile |
| 138 | Serbia | -12 1000 t | 2023 | down 114.3% | volatile |
| 140 | Moldova | -13 1000 t | 2023 | down 121.3% | volatile |
| 140 | Republic of Moldova | -13 1000 t | 2023 | down 121.3% | volatile |
| 142 | New Zealand | -15 1000 t | 2023 | up 25.0% | volatile |
| 143 | Dominican Republic | -17 1000 t | 2023 | down 163.0% | volatile |
| 144 | Cambodia | -19 1000 t | 2023 | up 92.8% | volatile |
| 144 | Syria | -19 1000 t | 2023 | up 90.1% | volatile |
| 144 | Syrian Arab Republic | -19 1000 t | 2023 | up 90.1% | volatile |
| 147 | Finland | -26 1000 t | 2023 | down 178.8% | volatile |
| 147 | Portugal | -26 1000 t | 2023 | down 131.0% | volatile |
| 149 | Ecuador | -27 1000 t | 2023 | down 184.4% | volatile |
| 150 | Bulgaria | -28 1000 t | 2023 | down 33.3% | volatile |
| 151 | Eswatini | -31 1000 t | 2023 | down 229.2% | volatile |
| 152 | Denmark | -32 1000 t | 2023 | down 158.2% | volatile |
| 153 | Chile | -34 1000 t | 2023 | down 153.1% | volatile |
| 154 | Honduras | -35 1000 t | 2023 | down 45.8% | volatile |
| 155 | Malawi | -36 1000 t | 2023 | up 2.7% | volatile |
| 156 | Republic of Korea | -39 1000 t | 2023 | down 116.7% | volatile |
| 157 | Norway | -41 1000 t | 2023 | down 356.2% | volatile |
| 158 | Fiji | -42 1000 t | 2023 | down 151.9% | volatile |
| 158 | El Salvador | -42 1000 t | 2023 | up 27.6% | volatile |
| 158 | Melanesia | -42 1000 t | 2023 | down 148.8% | volatile |
| 161 | Kuwait | -43 1000 t | 2023 | down 295.5% | volatile |
| 161 | Saudi Arabia | -43 1000 t | 2023 | down 108.8% | volatile |
| 163 | Laos | -47 1000 t | 2023 | down 527.3% | volatile |
| 163 | Lao People's Democratic Republic | -47 1000 t | 2023 | down 527.3% | volatile |
| 165 | Romania | -48 1000 t | 2023 | down 442.9% | volatile |
| 166 | Mozambique | -49 1000 t | 2023 | down 190.7% | volatile |
| 167 | Paraguay | -52 1000 t | 2023 | down 420.0% | volatile |
| 168 | Czechia | -53 1000 t | 2023 | up 1.9% | volatile |
| 168 | Nepal | -53 1000 t | 2023 | down 562.5% | volatile |
| 170 | Gambia | -55 1000 t | 2023 | down 450.0% | volatile |
| 171 | Cuba | -56 1000 t | 2019 | down 2,900.0% | volatile |
| 172 | United Arab Emirates | -58 1000 t | 2023 | down 107.0% | volatile |
| 173 | Sri Lanka | -67 1000 t | 2023 | down 148.1% | volatile |
| 174 | Turkmenistan | -76 1000 t | 2023 | down 1,800.0% | volatile |
| 175 | Jordan | -78 1000 t | 2023 | down 285.7% | volatile |
| 176 | Hungary | -79 1000 t | 2023 | up 56.6% | volatile |
| 177 | Tunisia | -85 1000 t | 2023 | down 1,516.7% | volatile |
| 178 | South Africa | -91 1000 t | 2023 | down 116.7% | volatile |
| 179 | Peru | -92 1000 t | 2023 | down 936.4% | volatile |
| 180 | Colombia | -95 1000 t | 2023 | down 176.6% | volatile |
| 181 | Austria | -105 1000 t | 2023 | down 2,725.0% | volatile |
| 182 | Mexico | -121 1000 t | 2023 | up 68.3% | volatile |
| 182 | Netherlands (Kingdom of the) | -121 1000 t | 2023 | — | volatile |
| 184 | Malaysia | -126 1000 t | 2023 | down 10.5% | volatile |
| 184 | Venezuela (Bolivarian Republic of) | -126 1000 t | 2023 | down 153.6% | volatile |
| 186 | Caribbean | -142 1000 t | 2023 | down 100.0% | volatile |
| 187 | Angola | -218 1000 t | 2023 | down 238.9% | volatile |
| 188 | Vietnam | -226 1000 t | 2023 | down 365.9% | volatile |
| 188 | Viet Nam | -226 1000 t | 2023 | down 365.9% | volatile |
| 190 | Indonesia | -342 1000 t | 2023 | down 166.8% | volatile |
| 191 | Iran (Islamic Republic of) | -374 1000 t | 2023 | down 126.7% | volatile |
| 192 | China | -1,208 1000 t | 2023 | down 137.6% | volatile |
| 193 | China, mainland | -1,219 1000 t | 2023 | down 137.4% | volatile |
| 194 | Thailand | -1,343 1000 t | 2023 | down 2,434.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 16,153 1000 t
- Southern Asia 8,297 1000 t
- Americas 6,766 1000 t
- South America 6,237 1000 t
- Asia 5,642 1000 t
- Europe 2,244 1000 t
- Oceania 1,534 1000 t
- European Union (27) 1,414 1000 t
- Western Europe 1,301 1000 t
- Northern America 663 1000 t
- United States of America 607 1000 t
- Western Asia 484 1000 t
- Eastern Europe 363 1000 t
- Northern Europe 353 1000 t
- Northern Africa 281 1000 t
- Southern Europe 227 1000 t
- Western Africa 212 1000 t
- Low Income Food Deficit Countries (LIFDCs) 49 1000 t
- Central America 8 1000 t
- Central Asia -31 1000 t
- Africa -33 1000 t
- Southern Africa -92 1000 t
- Land Locked Developing Countries (LLDCs) -113 1000 t
- Least Developed Countries (LDCs) -116 1000 t
- Middle Africa -193 1000 t
- Small island developing States (SIDS) -208 1000 t
- Eastern Africa -242 1000 t
- Net Food Importing Developing Countries (NFIDCs) -601 1000 t
- Eastern Asia -1,063 1000 t
- South-Eastern Asia -2,046 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.