Peas — Feed 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
85
Highest
2,387 1000 t
China
Lowest
0 1000 t
Caribbean
Median
6 1000 t
Years covered
14
2010–2023
Data points
2,020

What the numbers show

Peas — Feed is currently reported for 85 countries. The highest value is 2,387 1000 t in China; the lowest is 0 1000 t in Caribbean.

The median across all reporting countries is 6 1000 t, and the mean is 104.22 1000 t.

Over the past decade 34 countries rose and 23 fell. The largest increase was in Bulgaria (up 1,200.0%), and the largest decrease in Ireland (down 100.0%).

Peas — Feed: full country ranking

#Country LatestYear 10-year changeTrend
1 China 2,387 1000 t 2023 up 75.3% rising
1 China, mainland 2,387 1000 t 2023 up 75.3% rising
3 Russia 728 1000 t 2023 up 61.4% rising
3 Russian Federation 728 1000 t 2023 up 61.4% rising
5 Spain 392 1000 t 2023 up 70.4% rising
6 Germany 356 1000 t 2023 up 128.2% rising
7 United States 196 1000 t 2023 down 55.0% falling
8 France 185 1000 t 2023 down 3.1% falling
9 United Kingdom 167 1000 t 2023 up 377.1% volatile
9 United Kingdom of Great Britain and Northern Ireland 167 1000 t 2023 up 377.1% volatile
11 Italy 102 1000 t 2023 up 385.7% rising
12 Romania 87 1000 t 2023 up 89.1% rising
13 Canada 82 1000 t 2023 up 24.2% volatile
14 Belgium 72 1000 t 2023 down 22.6% rising
14 Netherlands (Kingdom of the) 72 1000 t 2023 up 414.3% volatile
16 Bangladesh 59 1000 t 2023 down 26.2% rising
17 Belarus 54 1000 t 2023 down 3.6% rising
18 Australia and New Zealand 52 1000 t 2023 down 51.9% falling
19 Australia 51 1000 t 2023 down 52.3% falling
20 Latvia 50 1000 t 2023 up 900.0% volatile
21 Lithuania 39 1000 t 2023 up 200.0% volatile
22 Pakistan 38 1000 t 2023 up 46.2% volatile
23 Finland 36 1000 t 2023 up 800.0% volatile
24 India 35 1000 t 2023 down 60.7% falling
25 Kazakhstan 33 1000 t 2023 up 200.0% volatile
26 Ukraine 31 1000 t 2023 down 22.5% volatile
27 Djibouti 23 1000 t 2023 up 155.6% rising
28 Afghanistan 18 1000 t 2023 — volatile
28 Denmark 18 1000 t 2023 up 50.0% rising
30 Sweden 17 1000 t 2023 down 10.5% rising
31 Greece 16 1000 t 2023 — volatile
32 Austria 13 1000 t 2023 unchanged falling
32 Bulgaria 13 1000 t 2023 up 1,200.0% volatile
34 Switzerland 12 1000 t 2023 down 29.4% falling
34 Czechia 12 1000 t 2023 up 1,100.0% volatile
36 Myanmar 11 1000 t 2023 down 60.7% volatile
36 Poland 11 1000 t 2023 up 10.0% rising
38 Cameroon 9 1000 t 2023 up 350.0% volatile
39 Uzbekistan 8 1000 t 2023 up 700.0% volatile
40 Iraq 7 1000 t 2023 up 250.0% volatile
40 Slovakia 7 1000 t 2023 up 133.3% rising
42 Estonia 6 1000 t 2023 up 200.0% volatile
42 Ethiopia 6 1000 t 2023 unchanged rising
42 Moldova 6 1000 t 2023 up 20.0% falling
42 Republic of Moldova 6 1000 t 2023 up 20.0% falling
46 United Republic of Tanzania 5 1000 t 2023 up 150.0% volatile
47 Azerbaijan 4 1000 t 2023 down 66.7% volatile
47 Norway 4 1000 t 2023 up 300.0% volatile
49 Algeria 3 1000 t 2023 — volatile
49 Mexico 3 1000 t 2023 unchanged falling
49 Malawi 3 1000 t 2023 up 200.0% volatile
49 Vietnam 3 1000 t 2023 — volatile
49 Democratic Republic of the Congo 3 1000 t 2023 — volatile
49 Viet Nam 3 1000 t 2023 — volatile
55 Peru 2 1000 t 2023 — volatile
55 Philippines 2 1000 t 2023 — volatile
55 Syria 2 1000 t 2023 unchanged volatile
55 Tajikistan 2 1000 t 2023 down 60.0% volatile
55 Turkey 2 1000 t 2023 up 100.0% volatile
55 Syrian Arab Republic 2 1000 t 2023 unchanged volatile
55 Türkiye 2 1000 t 2023 up 100.0% volatile
62 United Arab Emirates 1 1000 t 2023 unchanged volatile
62 Congo 1 1000 t 2023 — volatile
62 Georgia 1 1000 t 2023 down 50.0% falling
62 Hungary 1 1000 t 2023 down 80.0% volatile
62 Libya 1 1000 t 2023 unchanged rising
62 Morocco 1 1000 t 2023 — volatile
62 Madagascar 1 1000 t 2023 unchanged rising
62 Malaysia 1 1000 t 2023 — volatile
62 Nepal 1 1000 t 2023 down 83.3% volatile
71 Bahrain 0 1000 t 2023 — falling
71 Brazil 0 1000 t 2023 — volatile
71 Cyprus 0 1000 t 2023 — volatile
71 Ireland 0 1000 t 2023 down 100.0% volatile
71 Israel 0 1000 t 2023 — volatile
71 Sri Lanka 0 1000 t 2023 down 100.0% volatile
71 Luxembourg 0 1000 t 2023 — volatile
71 New Zealand 0 1000 t 2023 down 100.0% volatile
71 Rwanda 0 1000 t 2023 — volatile
71 Suriname 0 1000 t 2023 — volatile
71 Slovenia 0 1000 t 2023 down 100.0% volatile
71 Trinidad and Tobago 0 1000 t 2023 down 100.0% volatile
71 Uruguay 0 1000 t 2023 — volatile
71 Melanesia 0 1000 t 2023 — volatile
71 Caribbean 0 1000 t 2023 down 100.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Peas — Feed by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 September 2026, from https://agriculture.statizoid.com/stat/peas-feed/

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About this data

Indicator
Peas — Feed
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
163 places, 2,020 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.