Peas — 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...
What the numbers show
Peas — Stock Variation is currently reported for 117 countries. The highest value is 222 1000 t in Spain; the lowest is -354 1000 t in Canada.
The median across all reporting countries is 0 1000 t, and the mean is -7.57 1000 t.
Over the past decade 32 countries rose and 30 fell. The largest increase was in Iraq (up 2,400.0%), and the largest decrease in Kazakhstan (down 1,100.0%).
Peas — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Spain | 222 1000 t | 2023 | up 417.1% | volatile |
| 2 | China | 44 1000 t | 2023 | up 344.4% | volatile |
| 2 | China, mainland | 44 1000 t | 2023 | up 331.6% | volatile |
| 4 | Australia and New Zealand | 42 1000 t | 2023 | up 1,300.0% | volatile |
| 5 | Australia | 40 1000 t | 2023 | up 1,233.3% | volatile |
| 6 | Romania | 38 1000 t | 2023 | up 860.0% | volatile |
| 7 | Iraq | 25 1000 t | 2023 | up 2,400.0% | volatile |
| 8 | Djibouti | 8 1000 t | 2023 | up 166.7% | volatile |
| 8 | Estonia | 8 1000 t | 2023 | — | volatile |
| 10 | Latvia | 7 1000 t | 2023 | up 600.0% | volatile |
| 11 | Netherlands (Kingdom of the) | 5 1000 t | 2023 | up 183.3% | volatile |
| 12 | Finland | 3 1000 t | 2023 | up 400.0% | volatile |
| 12 | Moldova | 3 1000 t | 2023 | — | volatile |
| 12 | Ukraine | 3 1000 t | 2023 | up 142.9% | volatile |
| 12 | Yemen | 3 1000 t | 2023 | up 50.0% | volatile |
| 12 | Republic of Moldova | 3 1000 t | 2023 | — | volatile |
| 17 | New Zealand | 2 1000 t | 2023 | — | volatile |
| 17 | Democratic Republic of the Congo | 2 1000 t | 2023 | — | volatile |
| 19 | Switzerland | 1 1000 t | 2023 | unchanged | volatile |
| 19 | Cameroon | 1 1000 t | 2023 | unchanged | volatile |
| 19 | Greece | 1 1000 t | 2023 | — | volatile |
| 19 | Hungary | 1 1000 t | 2023 | — | volatile |
| 19 | Libya | 1 1000 t | 2023 | unchanged | volatile |
| 19 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 19 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 19 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 19 | Rwanda | 1 1000 t | 2023 | down 80.0% | volatile |
| 19 | Tajikistan | 1 1000 t | 2023 | unchanged | volatile |
| 19 | Turkey | 1 1000 t | 2023 | down 50.0% | volatile |
| 19 | Türkiye | 1 1000 t | 2023 | down 50.0% | volatile |
| 31 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 31 | Belgium | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Bangladesh | 0 1000 t | 2023 | down 100.0% | volatile |
| 31 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 31 | Bosnia and Herzegovina | 0 1000 t | 2023 | down 100.0% | volatile |
| 31 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 31 | Chile | 0 1000 t | 2023 | — | volatile |
| 31 | Cote d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 31 | Congo | 0 1000 t | 2023 | — | volatile |
| 31 | Colombia | 0 1000 t | 2023 | — | volatile |
| 31 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 31 | Czechia | 0 1000 t | 2023 | — | volatile |
| 31 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 31 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 31 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 31 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 31 | Guinea | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Guyana | 0 1000 t | 2023 | — | volatile |
| 31 | Croatia | 0 1000 t | 2023 | — | volatile |
| 31 | Haiti | 0 1000 t | 2023 | down 100.0% | flat |
| 31 | Indonesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | India | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Ireland | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Italy | 0 1000 t | 2023 | — | volatile |
| 31 | Jordan | 0 1000 t | 2023 | — | volatile |
| 31 | Kenya | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Sri Lanka | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Lesotho | 0 1000 t | 2023 | down 100.0% | flat |
| 31 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 31 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 31 | Mexico | 0 1000 t | 2023 | up 100.0% | flat |
| 31 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 31 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 31 | Malaysia | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Nepal | 0 1000 t | 2023 | — | volatile |
| 31 | Oman | 0 1000 t | 2023 | — | volatile |
| 31 | Panama | 0 1000 t | 2023 | — | volatile |
| 31 | Peru | 0 1000 t | 2023 | — | volatile |
| 31 | Philippines | 0 1000 t | 2023 | — | volatile |
| 31 | Poland | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Portugal | 0 1000 t | 2023 | — | volatile |
| 31 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 31 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 31 | Suriname | 0 1000 t | 2023 | — | flat |
| 31 | Slovakia | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Slovenia | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Sweden | 0 1000 t | 2023 | — | volatile |
| 31 | Syria | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Thailand | 0 1000 t | 2023 | down 100.0% | flat |
| 31 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | flat |
| 31 | Trinidad and Tobago | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Tunisia | 0 1000 t | 2023 | down 100.0% | flat |
| 31 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 31 | Uzbekistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | South Africa | 0 1000 t | 2023 | — | volatile |
| 31 | Zambia | 0 1000 t | 2023 | — | flat |
| 31 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 31 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 31 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 31 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 31 | Syrian Arab Republic | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 31 | United Republic of Tanzania | 0 1000 t | 2023 | up 100.0% | volatile |
| 31 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 161 | Armenia | -1 1000 t | 2023 | — | volatile |
| 161 | Azerbaijan | -1 1000 t | 2023 | — | volatile |
| 161 | Belize | -1 1000 t | 2023 | unchanged | volatile |
| 161 | Israel | -1 1000 t | 2023 | — | volatile |
| 161 | Kyrgyzstan | -1 1000 t | 2023 | down 200.0% | volatile |
| 166 | Belarus | -3 1000 t | 2023 | — | volatile |
| 166 | Fiji | -3 1000 t | 2021 | — | volatile |
| 168 | United Arab Emirates | -4 1000 t | 2023 | down 200.0% | volatile |
| 168 | Germany | -4 1000 t | 2023 | up 69.2% | volatile |
| 170 | Myanmar | -5 1000 t | 2023 | down 145.5% | volatile |
| 171 | Lithuania | -9 1000 t | 2023 | — | volatile |
| 172 | Kazakhstan | -12 1000 t | 2023 | down 1,100.0% | volatile |
| 173 | Norway | -16 1000 t | 2023 | — | volatile |
| 174 | Venezuela (Bolivarian Republic of) | -20 1000 t | 2023 | — | flat |
| 175 | France | -21 1000 t | 2023 | down 10.5% | flat |
| 176 | United Kingdom | -22 1000 t | 2023 | down 37.5% | volatile |
| 176 | United Kingdom of Great Britain and Northern Ireland | -22 1000 t | 2023 | down 37.5% | volatile |
| 178 | Ethiopia | -24 1000 t | 2023 | down 185.7% | volatile |
| 179 | United States | -226 1000 t | 2023 | — | volatile |
| 180 | Russia | -325 1000 t | 2023 | — | volatile |
| 180 | Russian Federation | -325 1000 t | 2023 | — | volatile |
| 182 | Canada | -354 1000 t | 2023 | down 155.3% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- European Union (27) 252 1000 t
- Southern Europe 225 1000 t
- Asia 49 1000 t
- Eastern Asia 44 1000 t
- Oceania 42 1000 t
- Western Asia 21 1000 t
- Northern Africa 3 1000 t
- Middle Africa 3 1000 t
- Southern Asia 1 1000 t
- Small island developing States (SIDS) 0 1000 t
- Southern Africa 0 1000 t
- Western Africa 0 1000 t
- Central America -1 1000 t
- South-Eastern Asia -5 1000 t
- Africa -7 1000 t
- Least Developed Countries (LDCs) -11 1000 t
- Central Asia -13 1000 t
- Eastern Africa -13 1000 t
- Low Income Food Deficit Countries (LIFDCs) -15 1000 t
- Western Europe -19 1000 t
- South America -20 1000 t
- Northern Europe -29 1000 t
- Net Food Importing Developing Countries (NFIDCs) -29 1000 t
- Land Locked Developing Countries (LLDCs) -36 1000 t
- Europe -107 1000 t
- United States of America -226 1000 t
- Eastern Europe -284 1000 t
- Northern America -580 1000 t
- Americas -601 1000 t
- World -625 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.