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...

Countries reporting
173
Highest
222 1000 t
Spain
Lowest
-354 1000 t
Canada
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,724

What the numbers show

Peas — Stock Variation is currently reported for 173 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 -1.83 1000 t.

Over the past decade 31 countries rose and 28 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 LatestYear 10-year changeTrend
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 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
16 New Zealand 2 1000 t 2023 volatile
16 Democratic Republic of the Congo 2 1000 t 2023 volatile
18 Switzerland 1 1000 t 2023 unchanged volatile
18 Cameroon 1 1000 t 2023 unchanged volatile
18 Greece 1 1000 t 2023 volatile
18 Hungary 1 1000 t 2023 volatile
18 Libya 1 1000 t 2023 unchanged volatile
18 Mozambique 1 1000 t 2023 volatile
18 Mauritius 1 1000 t 2023 volatile
18 Pakistan 1 1000 t 2023 volatile
18 Rwanda 1 1000 t 2023 down 80.0% volatile
18 Tajikistan 1 1000 t 2023 unchanged volatile
18 Türkiye 1 1000 t 2023 down 50.0% volatile
29 Albania 0 1000 t 2023 flat
29 Argentina 0 1000 t 2023 up 100.0% volatile
29 Antigua and Barbuda 0 1000 t 2023 flat
29 Austria 0 1000 t 2023 down 100.0% volatile
29 Belgium 0 1000 t 2023 up 100.0% volatile
29 Burkina Faso 0 1000 t 2023 flat
29 Bangladesh 0 1000 t 2023 down 100.0% volatile
29 Bulgaria 0 1000 t 2023 volatile
29 Bahrain 0 1000 t 2023 flat
29 Bahamas 0 1000 t 2023 flat
29 Bosnia and Herzegovina 0 1000 t 2023 down 100.0% volatile
29 Brazil 0 1000 t 2023 down 100.0% volatile
29 Barbados 0 1000 t 2023 flat
29 Bhutan 0 1000 t 2023 flat
29 Botswana 0 1000 t 2023 flat
29 Chile 0 1000 t 2023 volatile
29 Congo 0 1000 t 2023 volatile
29 Colombia 0 1000 t 2023 volatile
29 Comoros 0 1000 t 2023 flat
29 Costa Rica 0 1000 t 2023 flat
29 Cuba 0 1000 t 2019 flat
29 Cyprus 0 1000 t 2023 volatile
29 Czechia 0 1000 t 2023 volatile
29 Denmark 0 1000 t 2023 down 100.0% volatile
29 Dominican Republic 0 1000 t 2023 flat
29 Algeria 0 1000 t 2023 down 100.0% volatile
29 Ecuador 0 1000 t 2023 volatile
29 Egypt 0 1000 t 2023 down 100.0% volatile
29 Gabon 0 1000 t 2023 flat
29 Georgia 0 1000 t 2023 flat
29 Ghana 0 1000 t 2023 flat
29 Guinea 0 1000 t 2023 up 100.0% volatile
29 Gambia 0 1000 t 2023 flat
29 Grenada 0 1000 t 2023 flat
29 Guatemala 0 1000 t 2023 flat
29 Guyana 0 1000 t 2023 volatile
29 Honduras 0 1000 t 2023 flat
29 Croatia 0 1000 t 2023 volatile
29 Haiti 0 1000 t 2023 down 100.0% flat
29 Indonesia 0 1000 t 2023 up 100.0% volatile
29 India 0 1000 t 2023 up 100.0% volatile
29 Ireland 0 1000 t 2023 up 100.0% volatile
29 Iceland 0 1000 t 2023 flat
29 Italy 0 1000 t 2023 volatile
29 Jamaica 0 1000 t 2023 flat
29 Jordan 0 1000 t 2023 volatile
29 Kenya 0 1000 t 2023 up 100.0% volatile
29 Cambodia 0 1000 t 2023 flat
29 Kiribati 0 1000 t 2023 flat
29 Saint Kitts and Nevis 0 1000 t 2023 flat
29 Kuwait 0 1000 t 2023 flat
29 Lebanon 0 1000 t 2023 flat
29 Saint Lucia 0 1000 t 2023 flat
29 Sri Lanka 0 1000 t 2023 up 100.0% volatile
29 Lesotho 0 1000 t 2023 down 100.0% flat
29 Luxembourg 0 1000 t 2023 flat
29 Morocco 0 1000 t 2023 down 100.0% volatile
29 Madagascar 0 1000 t 2023 volatile
29 Maldives 0 1000 t 2023 flat
29 Mexico 0 1000 t 2023 up 100.0% flat
29 Marshall Islands 0 1000 t 2023 flat
29 North Macedonia 0 1000 t 2023 flat
29 Malta 0 1000 t 2023 flat
29 Montenegro 0 1000 t 2023 flat
29 Mongolia 0 1000 t 2023 flat
29 Mauritania 0 1000 t 2023 down 100.0% volatile
29 Malawi 0 1000 t 2023 down 100.0% volatile
29 Malaysia 0 1000 t 2023 up 100.0% volatile
29 Namibia 0 1000 t 2023 flat
29 New Caledonia 0 1000 t 2023 flat
29 Niger 0 1000 t 2023 flat
29 Nigeria 0 1000 t 2023 flat
29 Nicaragua 0 1000 t 2023 flat
29 Nepal 0 1000 t 2023 volatile
29 Nauru 0 1000 t 2023 flat
29 Oman 0 1000 t 2023 volatile
29 Panama 0 1000 t 2023 volatile
29 Peru 0 1000 t 2023 volatile
29 Philippines 0 1000 t 2023 volatile
29 Papua New Guinea 0 1000 t 2023 flat
29 Poland 0 1000 t 2023 up 100.0% volatile
29 Portugal 0 1000 t 2023 volatile
29 Paraguay 0 1000 t 2023 flat
29 French Polynesia 0 1000 t 2023 flat
29 Qatar 0 1000 t 2023 flat
29 Saudi Arabia 0 1000 t 2023 down 100.0% volatile
29 Senegal 0 1000 t 2023 down 100.0% volatile
29 Solomon Islands 0 1000 t 2023 flat
29 Sierra Leone 0 1000 t 2023 flat
29 El Salvador 0 1000 t 2023 flat
29 Serbia 0 1000 t 2023 flat
29 Sao Tome and Principe 0 1000 t 2023 flat
29 Suriname 0 1000 t 2023 flat
29 Slovakia 0 1000 t 2023 up 100.0% volatile
29 Slovenia 0 1000 t 2023 up 100.0% volatile
29 Sweden 0 1000 t 2023 volatile
29 Eswatini 0 1000 t 2023 flat
29 Seychelles 0 1000 t 2023 flat
29 Thailand 0 1000 t 2023 down 100.0% flat
29 Turkmenistan 0 1000 t 2023 down 100.0% flat
29 Tonga 0 1000 t 2023 flat
29 Trinidad and Tobago 0 1000 t 2023 up 100.0% volatile
29 Tunisia 0 1000 t 2023 down 100.0% flat
29 Tuvalu 0 1000 t 2023 flat
29 Uganda 0 1000 t 2023 flat
29 Uruguay 0 1000 t 2023 volatile
29 Uzbekistan 0 1000 t 2023 up 100.0% volatile
29 Saint Vincent and the Grenadines 0 1000 t 2023 flat
29 Vanuatu 0 1000 t 2023 flat
29 Samoa 0 1000 t 2023 flat
29 Zambia 0 1000 t 2023 flat
29 Zimbabwe 0 1000 t 2023 flat
29 Micronesia 0 1000 t 2023 flat
29 Cabo Verde 0 1000 t 2023 flat
29 Melanesia 0 1000 t 2023 down 100.0% volatile
29 Polynesia 0 1000 t 2023 flat
29 Caribbean 0 1000 t 2023 volatile
29 Bolivia (Plurinational State of) 0 1000 t 2023 flat
29 China, Hong Kong SAR 0 1000 t 2023 flat
29 Iran (Islamic Republic of) 0 1000 t 2023 flat
29 Republic of Korea 0 1000 t 2023 volatile
29 Syrian Arab Republic 0 1000 t 2023 up 100.0% volatile
29 Côte d'Ivoire 0 1000 t 2023 volatile
29 United Republic of Tanzania 0 1000 t 2023 up 100.0% volatile
29 China, Taiwan Province of 0 1000 t 2023 flat
29 China, Macao SAR 0 1000 t 2023 flat
155 Armenia -1 1000 t 2023 volatile
155 Azerbaijan -1 1000 t 2023 volatile
155 Belize -1 1000 t 2023 unchanged volatile
155 Israel -1 1000 t 2023 volatile
155 Kyrgyzstan -1 1000 t 2023 down 200.0% volatile
160 Belarus -3 1000 t 2023 volatile
160 Fiji -3 1000 t 2021 volatile
162 United Arab Emirates -4 1000 t 2023 down 200.0% volatile
162 Germany -4 1000 t 2023 up 69.2% volatile
164 Myanmar -5 1000 t 2023 down 145.5% volatile
165 Lithuania -9 1000 t 2023 volatile
166 Kazakhstan -12 1000 t 2023 down 1,100.0% volatile
167 Norway -16 1000 t 2023 volatile
168 Venezuela (Bolivarian Republic of) -20 1000 t 2023 flat
169 France -21 1000 t 2023 down 10.5% flat
170 United Kingdom of Great Britain and Northern Ireland -22 1000 t 2023 down 37.5% volatile
171 Ethiopia -24 1000 t 2023 down 185.7% volatile
172 Russian Federation -325 1000 t 2023 volatile
173 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.

About this data

Indicator
Peas — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
204 places, 2,724 data points, 2010–2023
Last refreshed

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.