Sugar (Raw Equivalent) — 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
189
Highest
7,232 1000 t
India
Lowest
-1,372 1000 t
Thailand
Median
0 1000 t
Years covered
14
2010–2023
Data points
3,046
What the numbers show
Sugar (Raw Equivalent) — Stock Variation is currently reported for 189 countries. The highest value is 7,232 1000 t in India; the lowest is -1,372 1000 t in Thailand.
The median across all reporting countries is 0 1000 t, and the mean is 78.22 1000 t.
The gap between the highest and lowest reporting country is a factor of about 5.
Over the past decade 74 countries rose and 81 fell. The largest increase was in Yemen (up 2,466.7%), and the largest decrease in Bulgaria (down 5,300.0%).
Sugar (Raw Equivalent) — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 7,232 1000 t | 2023 | up 840.4% | volatile |
| 2 | Brazil | 6,670 1000 t | 2023 | up 1,841.5% | volatile |
| 3 | Australia | 1,587 1000 t | 2023 | up 550.4% | volatile |
| 3 | Australia and New Zealand | 1,587 1000 t | 2023 | up 599.1% | volatile |
| 5 | France | 653 1000 t | 2023 | up 44.2% | volatile |
| 6 | Turkey | 543 1000 t | 2023 | up 403.4% | volatile |
| 6 | Türkiye | 543 1000 t | 2023 | up 403.4% | volatile |
| 8 | United States | 437 1000 t | 2023 | down 40.7% | volatile |
| 9 | Germany | 416 1000 t | 2023 | up 268.4% | volatile |
| 10 | United Kingdom | 279 1000 t | 2023 | up 156.0% | volatile |
| 10 | United Kingdom of Great Britain and Northern Ireland | 279 1000 t | 2023 | up 156.0% | volatile |
| 12 | Belgium | 239 1000 t | 2023 | down 13.4% | volatile |
| 13 | Libya | 214 1000 t | 2023 | up 122.9% | volatile |
| 14 | Guatemala | 204 1000 t | 2023 | up 553.3% | volatile |
| 15 | Belarus | 185 1000 t | 2023 | up 211.4% | volatile |
| 16 | Spain | 170 1000 t | 2023 | up 220.8% | volatile |
| 17 | Burkina Faso | 166 1000 t | 2023 | up 176.7% | volatile |
| 18 | Bangladesh | 160 1000 t | 2023 | up 100.0% | volatile |
| 19 | Russia | 103 1000 t | 2023 | up 117.7% | volatile |
| 19 | Russian Federation | 103 1000 t | 2023 | up 117.7% | volatile |
| 21 | Poland | 97 1000 t | 2023 | up 264.4% | volatile |
| 22 | Senegal | 95 1000 t | 2023 | up 72.7% | volatile |
| 23 | Iraq | 79 1000 t | 2023 | up 135.7% | volatile |
| 24 | Yemen | 71 1000 t | 2023 | up 2,466.7% | volatile |
| 25 | Canada | 56 1000 t | 2023 | up 286.7% | volatile |
| 26 | Pakistan | 50 1000 t | 2023 | down 86.0% | volatile |
| 27 | Zimbabwe | 48 1000 t | 2023 | up 433.3% | volatile |
| 28 | Lithuania | 35 1000 t | 2023 | up 337.5% | volatile |
| 29 | Albania | 27 1000 t | 2023 | up 350.0% | volatile |
| 30 | Slovenia | 20 1000 t | 2023 | — | volatile |
| 30 | Netherlands (Kingdom of the) | 20 1000 t | 2023 | — | volatile |
| 32 | Croatia | 14 1000 t | 2023 | down 74.1% | volatile |
| 32 | Kyrgyzstan | 14 1000 t | 2023 | up 300.0% | volatile |
| 32 | Sweden | 14 1000 t | 2023 | up 180.0% | volatile |
| 35 | Philippines | 11 1000 t | 2023 | up 122.4% | volatile |
| 36 | Jamaica | 9 1000 t | 2023 | up 325.0% | volatile |
| 36 | Mongolia | 9 1000 t | 2023 | down 35.7% | volatile |
| 38 | Armenia | 8 1000 t | 2023 | up 300.0% | volatile |
| 38 | Cote d'Ivoire | 8 1000 t | 2023 | up 300.0% | volatile |
| 38 | Côte d'Ivoire | 8 1000 t | 2023 | up 300.0% | volatile |
| 41 | Haiti | 7 1000 t | 2023 | up 124.1% | volatile |
| 41 | Democratic Republic of the Congo | 7 1000 t | 2023 | up 118.9% | volatile |
| 43 | Switzerland | 6 1000 t | 2023 | up 112.2% | volatile |
| 43 | Egypt | 6 1000 t | 2023 | up 104.6% | volatile |
| 45 | Botswana | 5 1000 t | 2023 | unchanged | volatile |
| 45 | Algeria | 5 1000 t | 2023 | up 113.9% | volatile |
| 45 | Uzbekistan | 5 1000 t | 2023 | down 50.0% | volatile |
| 48 | Latvia | 3 1000 t | 2023 | up 110.0% | volatile |
| 49 | Hungary | 2 1000 t | 2023 | up 103.2% | volatile |
| 49 | China, Macao SAR | 2 1000 t | 2023 | — | volatile |
| 51 | Mauritania | 1 1000 t | 2023 | up 101.3% | volatile |
| 51 | Namibia | 1 1000 t | 2023 | down 97.7% | volatile |
| 51 | Tonga | 1 1000 t | 2023 | — | volatile |
| 51 | China, Taiwan Province of | 1 1000 t | 2023 | up 102.0% | volatile |
| 55 | Afghanistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 55 | Azerbaijan | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 55 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 55 | Cameroon | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Congo | 0 1000 t | 2023 | — | volatile |
| 55 | Comoros | 0 1000 t | 2023 | — | volatile |
| 55 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Estonia | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 55 | Georgia | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Guinea | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 55 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Grenada | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Iceland | 0 1000 t | 2023 | — | volatile |
| 55 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Italy | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Kiribati | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 55 | Liberia | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 55 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 55 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | North Macedonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Montenegro | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Oman | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Panama | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 55 | Rwanda | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Solomon Islands | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Serbia | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Slovakia | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 55 | Ukraine | 0 1000 t | 2023 | up 100.0% | volatile |
| 55 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 55 | Vanuatu | 0 1000 t | 2023 | — | volatile |
| 55 | United Republic of Tanzania | 0 1000 t | 2023 | up 100.0% | flat |
| 55 | Democratic People's Republic of Korea | 0 1000 t | 2018 | down 100.0% | volatile |
| 109 | Barbados | -1 1000 t | 2023 | up 50.0% | volatile |
| 109 | Gabon | -1 1000 t | 2023 | unchanged | volatile |
| 109 | Saint Kitts and Nevis | -1 1000 t | 2023 | unchanged | volatile |
| 109 | Madagascar | -1 1000 t | 2023 | — | volatile |
| 109 | Maldives | -1 1000 t | 2023 | up 75.0% | volatile |
| 109 | Papua New Guinea | -1 1000 t | 2023 | up 88.9% | volatile |
| 109 | Sao Tome and Principe | -1 1000 t | 2023 | unchanged | volatile |
| 109 | Suriname | -1 1000 t | 2023 | down 150.0% | volatile |
| 109 | Micronesia | -1 1000 t | 2023 | unchanged | volatile |
| 109 | Cabo Verde | -1 1000 t | 2023 | — | volatile |
| 109 | Polynesia | -1 1000 t | 2023 | unchanged | volatile |
| 109 | Micronesia (Federated States of) | -1 1000 t | 2023 | — | volatile |
| 121 | Bahamas | -2 1000 t | 2023 | — | volatile |
| 121 | Saint Lucia | -2 1000 t | 2023 | down 100.0% | volatile |
| 121 | Samoa | -2 1000 t | 2023 | down 100.0% | volatile |
| 121 | Zambia | -2 1000 t | 2023 | down 102.8% | volatile |
| 125 | Malta | -3 1000 t | 2023 | down 250.0% | volatile |
| 125 | East Timor | -3 1000 t | 2023 | — | volatile |
| 125 | Timor-Leste | -3 1000 t | 2023 | — | volatile |
| 128 | Fiji | -4 1000 t | 2023 | down 103.5% | volatile |
| 128 | Sierra Leone | -4 1000 t | 2023 | — | volatile |
| 128 | Trinidad and Tobago | -4 1000 t | 2023 | up 75.0% | volatile |
| 128 | Melanesia | -4 1000 t | 2023 | down 103.8% | volatile |
| 132 | Mauritius | -5 1000 t | 2023 | up 80.0% | volatile |
| 132 | El Salvador | -5 1000 t | 2023 | up 91.5% | volatile |
| 132 | Tajikistan | -5 1000 t | 2023 | down 66.7% | volatile |
| 135 | Belize | -6 1000 t | 2023 | down 50.0% | volatile |
| 135 | Bolivia (Plurinational State of) | -6 1000 t | 2023 | up 95.1% | volatile |
| 137 | Norway | -8 1000 t | 2023 | down 166.7% | volatile |
| 138 | Bosnia and Herzegovina | -10 1000 t | 2023 | down 138.5% | volatile |
| 138 | Costa Rica | -10 1000 t | 2023 | up 28.6% | volatile |
| 138 | Guyana | -10 1000 t | 2023 | down 400.0% | volatile |
| 138 | Moldova | -10 1000 t | 2023 | down 116.7% | volatile |
| 138 | Republic of Moldova | -10 1000 t | 2023 | down 116.7% | volatile |
| 143 | Austria | -11 1000 t | 2023 | up 87.4% | volatile |
| 143 | Nicaragua | -11 1000 t | 2023 | down 129.7% | volatile |
| 143 | Qatar | -11 1000 t | 2023 | — | volatile |
| 143 | Uruguay | -11 1000 t | 2023 | down 320.0% | volatile |
| 147 | Kenya | -12 1000 t | 2023 | down 111.2% | volatile |
| 148 | Dominican Republic | -17 1000 t | 2023 | down 156.7% | volatile |
| 148 | Ireland | -17 1000 t | 2023 | down 145.9% | volatile |
| 150 | Cambodia | -19 1000 t | 2023 | up 92.9% | volatile |
| 151 | Syria | -20 1000 t | 2023 | up 89.8% | volatile |
| 151 | Syrian Arab Republic | -20 1000 t | 2023 | up 89.8% | volatile |
| 153 | China, Hong Kong SAR | -22 1000 t | 2023 | down 466.7% | volatile |
| 154 | Finland | -28 1000 t | 2023 | down 177.8% | volatile |
| 154 | Jordan | -28 1000 t | 2023 | down 165.1% | flat |
| 154 | Portugal | -28 1000 t | 2023 | down 163.6% | volatile |
| 154 | Romania | -28 1000 t | 2023 | — | volatile |
| 158 | Honduras | -35 1000 t | 2023 | down 2.9% | volatile |
| 159 | Chile | -36 1000 t | 2023 | down 151.4% | volatile |
| 159 | Malawi | -36 1000 t | 2023 | up 2.7% | volatile |
| 161 | Denmark | -39 1000 t | 2023 | down 161.9% | volatile |
| 162 | Kuwait | -43 1000 t | 2023 | down 326.3% | volatile |
| 163 | Saudi Arabia | -44 1000 t | 2023 | down 109.0% | volatile |
| 164 | Laos | -47 1000 t | 2023 | down 491.7% | volatile |
| 164 | Lao People's Democratic Republic | -47 1000 t | 2023 | down 491.7% | volatile |
| 166 | Mozambique | -48 1000 t | 2023 | down 148.5% | volatile |
| 167 | Eswatini | -51 1000 t | 2023 | down 288.9% | volatile |
| 168 | Bulgaria | -52 1000 t | 2023 | down 5,300.0% | volatile |
| 168 | Paraguay | -52 1000 t | 2023 | down 642.9% | volatile |
| 170 | Republic of Korea | -53 1000 t | 2023 | up 10.2% | volatile |
| 171 | Nepal | -54 1000 t | 2023 | down 157.1% | volatile |
| 172 | Gambia | -55 1000 t | 2023 | down 400.0% | volatile |
| 173 | Cuba | -57 1000 t | 2019 | down 2,950.0% | volatile |
| 174 | United Arab Emirates | -60 1000 t | 2023 | down 107.1% | volatile |
| 175 | Czechia | -63 1000 t | 2023 | down 16.7% | volatile |
| 176 | Sri Lanka | -67 1000 t | 2023 | down 472.2% | volatile |
| 177 | Turkmenistan | -76 1000 t | 2023 | down 590.9% | volatile |
| 178 | Ecuador | -77 1000 t | 2023 | down 333.3% | volatile |
| 179 | Tunisia | -85 1000 t | 2023 | down 2,933.3% | volatile |
| 180 | Peru | -92 1000 t | 2023 | down 1,122.2% | volatile |
| 181 | South Africa | -103 1000 t | 2023 | down 126.3% | volatile |
| 182 | Colombia | -114 1000 t | 2023 | down 192.7% | volatile |
| 183 | Mexico | -121 1000 t | 2023 | up 76.1% | volatile |
| 184 | Malaysia | -126 1000 t | 2023 | down 15.6% | volatile |
| 184 | Venezuela (Bolivarian Republic of) | -126 1000 t | 2023 | down 153.4% | volatile |
| 186 | Caribbean | -187 1000 t | 2023 | down 228.1% | volatile |
| 187 | Angola | -217 1000 t | 2023 | down 250.7% | volatile |
| 188 | Vietnam | -283 1000 t | 2023 | down 542.2% | volatile |
| 188 | Viet Nam | -283 1000 t | 2023 | down 542.2% | volatile |
| 190 | Indonesia | -343 1000 t | 2023 | down 176.7% | volatile |
| 191 | Iran (Islamic Republic of) | -465 1000 t | 2023 | down 266.1% | volatile |
| 192 | China, mainland | -1,146 1000 t | 2023 | down 134.9% | volatile |
| 193 | China | -1,164 1000 t | 2023 | down 136.0% | volatile |
| 194 | Thailand | -1,372 1000 t | 2023 | down 4,257.6% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 13,681 1000 t
- Southern Asia 6,855 1000 t
- Americas 6,465 1000 t
- South America 6,145 1000 t
- Asia 3,902 1000 t
- Europe 1,990 1000 t
- Oceania 1,581 1000 t
- European Union (27) 1,417 1000 t
- Western Europe 1,324 1000 t
- Northern America 493 1000 t
- Western Asia 492 1000 t
- United States of America 437 1000 t
- Northern Europe 239 1000 t
- Eastern Europe 235 1000 t
- Southern Europe 191 1000 t
- Northern Africa 185 1000 t
- Western Africa 157 1000 t
- Central America 15 1000 t
- Low Income Food Deficit Countries (LIFDCs) -16 1000 t
- Central Asia -62 1000 t
- Southern Africa -148 1000 t
- Least Developed Countries (LDCs) -170 1000 t
- Middle Africa -194 1000 t
- Land Locked Developing Countries (LLDCs) -205 1000 t
- Small island developing States (SIDS) -222 1000 t
- Africa -257 1000 t
- Eastern Africa -258 1000 t
- Net Food Importing Developing Countries (NFIDCs) -794 1000 t
- Eastern Asia -1,201 1000 t
- South-Eastern Asia -2,181 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.