Aquatic Plants — Other uses (non-food) 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
Aquatic Plants — Other uses (non-food) is currently reported for 62 countries. The highest value is 8,938 1000 t in Indonesia; the lowest is 0 1000 t in Tunisia.
The median across all reporting countries is 5 1000 t, and the mean is 194.45 1000 t.
Over the past decade 19 countries rose and 22 fell. The largest increase was in Russia (up 290.0%), and the largest decrease in Senegal (down 100.0%).
Aquatic Plants — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 8,938 1000 t | 2023 | down 2.2% | rising |
| 2 | Philippines | 1,338 1000 t | 2023 | down 12.5% | falling |
| 3 | Democratic People's Republic of Korea | 603 1000 t | 2018 | up 35.5% | rising |
| 4 | Chile | 373 1000 t | 2023 | down 17.8% | flat |
| 5 | Malaysia | 179 1000 t | 2023 | down 33.7% | falling |
| 6 | United Republic of Tanzania | 95 1000 t | 2023 | down 10.4% | falling |
| 7 | France | 93 1000 t | 2023 | up 14.8% | rising |
| 8 | Russia | 39 1000 t | 2023 | up 290.0% | volatile |
| 8 | India | 39 1000 t | 2023 | up 50.0% | rising |
| 8 | Russian Federation | 39 1000 t | 2023 | up 290.0% | volatile |
| 11 | United States | 31 1000 t | 2023 | down 6.1% | falling |
| 12 | Ireland | 29 1000 t | 2023 | up 7.4% | flat |
| 13 | Morocco | 18 1000 t | 2023 | up 5.9% | rising |
| 13 | China | 18 1000 t | 2023 | down 14.3% | falling |
| 15 | China, Taiwan Province of | 17 1000 t | 2023 | down 15.0% | falling |
| 16 | Australia and New Zealand | 15 1000 t | 2023 | up 66.7% | rising |
| 17 | Iceland | 14 1000 t | 2023 | up 7.7% | falling |
| 17 | Australia | 14 1000 t | 2023 | up 100.0% | rising |
| 19 | Spain | 12 1000 t | 2023 | up 71.4% | rising |
| 20 | Saudi Arabia | 10 1000 t | 2023 | up 42.9% | rising |
| 20 | Madagascar | 10 1000 t | 2023 | up 233.3% | volatile |
| 20 | Melanesia | 10 1000 t | 2023 | down 28.6% | flat |
| 20 | South Africa | 10 1000 t | 2023 | down 28.6% | falling |
| 24 | Vietnam | 9 1000 t | 2023 | down 40.0% | falling |
| 24 | Viet Nam | 9 1000 t | 2023 | down 40.0% | falling |
| 24 | Canada | 9 1000 t | 2023 | down 18.2% | volatile |
| 27 | Mexico | 8 1000 t | 2023 | down 20.0% | rising |
| 28 | Denmark | 7 1000 t | 2023 | down 12.5% | falling |
| 29 | Peru | 6 1000 t | 2023 | — | volatile |
| 30 | United Kingdom of Great Britain and Northern Ireland | 5 1000 t | 2023 | up 66.7% | volatile |
| 30 | United Kingdom | 5 1000 t | 2023 | up 66.7% | volatile |
| 30 | Thailand | 5 1000 t | 2023 | up 25.0% | rising |
| 30 | Solomon Islands | 5 1000 t | 2023 | down 54.5% | falling |
| 34 | Türkiye | 4 1000 t | 2023 | — | volatile |
| 34 | Micronesia | 4 1000 t | 2023 | up 100.0% | falling |
| 34 | Kiribati | 4 1000 t | 2023 | up 100.0% | falling |
| 34 | Turkey | 4 1000 t | 2023 | — | volatile |
| 34 | Papua New Guinea | 4 1000 t | 2023 | up 100.0% | volatile |
| 34 | Venezuela (Bolivarian Republic of) | 4 1000 t | 2023 | — | volatile |
| 40 | Italy | 2 1000 t | 2023 | down 33.3% | falling |
| 40 | Poland | 2 1000 t | 2023 | unchanged | rising |
| 42 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | — | volatile |
| 42 | Ukraine | 1 1000 t | 2023 | unchanged | falling |
| 42 | Cambodia | 1 1000 t | 2023 | — | volatile |
| 42 | Argentina | 1 1000 t | 2023 | unchanged | flat |
| 42 | Austria | 1 1000 t | 2023 | down 50.0% | rising |
| 42 | Belarus | 1 1000 t | 2023 | unchanged | rising |
| 42 | Brazil | 1 1000 t | 2023 | down 50.0% | falling |
| 42 | Germany | 1 1000 t | 2023 | unchanged | volatile |
| 42 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 42 | Kenya | 1 1000 t | 2023 | — | volatile |
| 42 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | falling |
| 42 | Myanmar | 1 1000 t | 2023 | down 50.0% | volatile |
| 42 | New Zealand | 1 1000 t | 2023 | down 50.0% | falling |
| 42 | Portugal | 1 1000 t | 2023 | unchanged | flat |
| 42 | East Timor | 1 1000 t | 2023 | unchanged | rising |
| 42 | Timor-Leste | 1 1000 t | 2023 | unchanged | rising |
| 58 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 58 | Fiji | 0 1000 t | 2023 | — | volatile |
| 58 | Estonia | 0 1000 t | 2023 | — | volatile |
| 58 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 58 | Tunisia | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 12,180 1000 t
- Asia 11,372 1000 t
- South-Eastern Asia 10,472 1000 t
- Eastern Asia 846 1000 t
- Low Income Food Deficit Countries (LIFDCs) 709 1000 t
- Americas 432 1000 t
- South America 385 1000 t
- Europe 212 1000 t
- European Union (27) 153 1000 t
- Net Food Importing Developing Countries (NFIDCs) 147 1000 t
- Africa 135 1000 t
- Least Developed Countries (LDCs) 117 1000 t
- Eastern Africa 106 1000 t
- Western Europe 97 1000 t
- Northern Europe 56 1000 t
- Eastern Europe 43 1000 t
- Northern America 39 1000 t
- Southern Asia 39 1000 t
- United States of America 31 1000 t
- Oceania 28 1000 t
- Northern Africa 19 1000 t
- Southern Europe 16 1000 t
- Western Asia 15 1000 t
- Small island developing States (SIDS) 15 1000 t
- Southern Africa 10 1000 t
- Central America 8 1000 t
- Land Locked Developing Countries (LLDCs) 1 1000 t
- Central Asia 1 1000 t
- Western Africa 0 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.