Peas — Domestic supply quantity 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
180
Highest
4,130 1000 t
China
Lowest
-52 1000 t
Iran (Islamic Republic of)
Median
5 1000 t
Years covered
14
2010–2023
Data points
2,846

What the numbers show

Peas — Domestic supply quantity is currently reported for 180 countries. The highest value is 4,130 1000 t in China; the lowest is -52 1000 t in Iran (Islamic Republic of).

The median across all reporting countries is 5 1000 t, and the mean is 96.87 1000 t.

The gap between the highest and lowest reporting country is a factor of about 79.

Over the past decade 72 countries rose and 38 fell. The largest increase was in Greece (up 3,200.0%), and the largest decrease in Iran (Islamic Republic of) (down 642.9%).

Peas — Domestic supply quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China 4,130 1000 t 2023 up 76.7% rising
2 China, mainland 4,109 1000 t 2023 up 77.3% rising
3 Russian Federation 1,743 1000 t 2023 up 70.4% rising
4 India 1,125 1000 t 2023 down 47.9% falling
5 Spain 525 1000 t 2023 up 76.8% rising
6 Ethiopia 501 1000 t 2023 up 31.2% rising
7 Canada 483 1000 t 2023 down 5.1% rising
8 Germany 427 1000 t 2023 up 106.3% rising
9 Bangladesh 311 1000 t 2023 down 15.7% rising
10 France 281 1000 t 2023 down 3.8% falling
11 Pakistan 269 1000 t 2023 up 45.4% volatile
12 Italy 259 1000 t 2023 up 127.2% rising
13 United Kingdom of Great Britain and Northern Ireland 191 1000 t 2023 up 46.9% rising
14 Australia and New Zealand 162 1000 t 2023 down 8.5% flat
15 Australia 154 1000 t 2023 down 7.8% rising
16 Kazakhstan 135 1000 t 2023 up 275.0% rising
17 Norway 134 1000 t 2023 up 139.3% rising
18 Iraq 125 1000 t 2023 up 861.5% volatile
19 Romania 118 1000 t 2023 up 93.4% rising
20 Ukraine 99 1000 t 2023 down 41.8% volatile
21 Netherlands (Kingdom of the) 98 1000 t 2023 up 226.7% rising
22 Belgium 90 1000 t 2023 down 21.1% rising
23 Finland 86 1000 t 2023 up 616.7% volatile
24 Peru 85 1000 t 2023 up 13.3% rising
25 Afghanistan 83 1000 t 2023 up 2,666.7% volatile
26 Colombia 76 1000 t 2023 down 9.5% flat
27 Lithuania 72 1000 t 2023 up 140.0% volatile
28 Belarus 70 1000 t 2023 up 12.9% rising
29 Poland 65 1000 t 2023 up 12.1% falling
30 Kenya 63 1000 t 2023 up 215.0% rising
31 Latvia 60 1000 t 2023 up 900.0% volatile
32 Argentina 54 1000 t 2023 up 25.6% volatile
33 United Arab Emirates 52 1000 t 2023 up 33.3% rising
33 Philippines 52 1000 t 2023 up 52.9% rising
35 Czechia 51 1000 t 2023 up 131.8% rising
35 Morocco 51 1000 t 2023 up 54.5% rising
35 Venezuela (Bolivarian Republic of) 51 1000 t 2023 up 183.3% volatile
38 Yemen 50 1000 t 2023 up 455.6% volatile
39 Myanmar 43 1000 t 2023 down 28.3% falling
40 Denmark 41 1000 t 2023 up 127.8% rising
41 Malaysia 37 1000 t 2023 up 48.0% rising
42 Sri Lanka 36 1000 t 2023 up 12.5% rising
43 Sweden 35 1000 t 2023 down 2.8% rising
44 Djibouti 34 1000 t 2023 up 100.0% rising
45 Greece 33 1000 t 2023 up 3,200.0% volatile
46 Estonia 29 1000 t 2023 up 81.2% rising
46 United Republic of Tanzania 29 1000 t 2023 up 11.5% rising
48 Uganda 27 1000 t 2023 up 200.0% rising
49 Brazil 26 1000 t 2023 down 39.5% falling
49 Malawi 26 1000 t 2023 up 271.4% volatile
51 Switzerland 24 1000 t 2023 down 17.2% falling
51 Algeria 24 1000 t 2023 up 33.3% rising
51 Slovakia 24 1000 t 2023 up 242.9% rising
54 Egypt 23 1000 t 2023 up 53.3% rising
55 Portugal 22 1000 t 2023 up 340.0% volatile
56 Senegal 21 1000 t 2023 up 200.0% volatile
56 Republic of Moldova 21 1000 t 2023 up 110.0% rising
58 Bulgaria 20 1000 t 2023 up 566.7% volatile
58 China, Taiwan Province of 20 1000 t 2023 up 5.3% flat
60 Austria 19 1000 t 2023 up 5.6% falling
60 Mexico 19 1000 t 2023 unchanged falling
62 Turkmenistan 18 1000 t 2023 up 100.0% rising
63 Hungary 17 1000 t 2023 down 46.9% falling
63 Kyrgyzstan 17 1000 t 2023 up 466.7% volatile
63 Madagascar 17 1000 t 2023 up 21.4% rising
63 Uzbekistan 17 1000 t 2023 up 142.9% rising
67 Tajikistan 16 1000 t 2023 up 77.8% rising
68 Türkiye 15 1000 t 2023 up 7.1% volatile
69 Israel 13 1000 t 2023 up 333.3% volatile
69 Saudi Arabia 13 1000 t 2023 up 30.0% rising
71 Cameroon 12 1000 t 2023 up 200.0% volatile
72 Azerbaijan 11 1000 t 2023 down 8.3% volatile
72 Rwanda 11 1000 t 2023 down 50.0% falling
74 Congo 10 1000 t 2023 up 42.9% rising
74 Thailand 10 1000 t 2023 up 25.0% rising
76 Mauritania 9 1000 t 2023 unchanged falling
76 New Zealand 9 1000 t 2023 down 10.0% falling
76 Democratic Republic of the Congo 9 1000 t 2023 up 200.0% rising
79 Caribbean 7 1000 t 2023 down 41.7% volatile
80 Libya 6 1000 t 2023 up 20.0% rising
80 Paraguay 6 1000 t 2023 up 20.0% rising
80 Tunisia 6 1000 t 2023 down 45.5% falling
80 Viet Nam 6 1000 t 2023 up 500.0% volatile
84 Bosnia and Herzegovina 5 1000 t 2023 up 25.0% falling
84 Chile 5 1000 t 2023 down 16.7% falling
84 Ecuador 5 1000 t 2023 up 25.0% rising
84 Fiji 5 1000 t 2021 down 28.6% falling
84 Indonesia 5 1000 t 2023 down 37.5% flat
84 Oman 5 1000 t 2023 up 150.0% volatile
84 Bolivia (Plurinational State of) 5 1000 t 2023 unchanged falling
84 Republic of Korea 5 1000 t 2023 up 66.7% rising
92 Ireland 4 1000 t 2023 unchanged falling
92 Lebanon 4 1000 t 2023 unchanged rising
92 Mauritius 4 1000 t 2023 unchanged flat
92 Qatar 4 1000 t 2023 flat
92 Trinidad and Tobago 4 1000 t 2023 down 20.0% falling
92 Syrian Arab Republic 4 1000 t 2023 down 20.0% volatile
98 Armenia 3 1000 t 2023 up 200.0% volatile
98 Burkina Faso 3 1000 t 2023 up 200.0% volatile
98 Bahrain 3 1000 t 2023 rising
98 Guyana 3 1000 t 2023 unchanged falling
98 Sierra Leone 3 1000 t 2023 down 50.0% falling
98 Uruguay 3 1000 t 2023 unchanged flat
104 Belize 2 1000 t 2023 up 100.0% rising
104 Gambia 2 1000 t 2023 volatile
104 Lesotho 2 1000 t 2023 unchanged volatile
104 North Macedonia 2 1000 t 2023 unchanged falling
104 Montenegro 2 1000 t 2023 up 100.0% rising
104 Serbia 2 1000 t 2023 up 100.0% rising
110 Bhutan 1 1000 t 2023 flat
110 Dominican Republic 1 1000 t 2023 unchanged volatile
110 Georgia 1 1000 t 2023 down 50.0% falling
110 Croatia 1 1000 t 2023 volatile
110 Haiti 1 1000 t 2023 down 75.0% volatile
110 Jamaica 1 1000 t 2023 unchanged flat
110 Jordan 1 1000 t 2023 unchanged volatile
110 Kuwait 1 1000 t 2023 volatile
110 Liberia 1 1000 t 2023 down 50.0% volatile
110 Mozambique 1 1000 t 2023 up 112.5% volatile
110 Niger 1 1000 t 2023 unchanged volatile
110 Nepal 1 1000 t 2023 down 95.2% volatile
110 Panama 1 1000 t 2023 unchanged rising
110 Suriname 1 1000 t 2023 unchanged rising
110 Slovenia 1 1000 t 2023 down 50.0% volatile
110 Zimbabwe 1 1000 t 2023 down 88.9% volatile
110 Côte d'Ivoire 1 1000 t 2023 down 50.0% volatile
127 Angola 0 1000 t 2023 flat
127 Albania 0 1000 t 2023 flat
127 Antigua and Barbuda 0 1000 t 2023 flat
127 Bahamas 0 1000 t 2023 flat
127 Barbados 0 1000 t 2023 down 100.0% volatile
127 Comoros 0 1000 t 2023 flat
127 Costa Rica 0 1000 t 2023 volatile
127 Cuba 0 1000 t 2019 flat
127 Cyprus 0 1000 t 2023 volatile
127 Gabon 0 1000 t 2023 flat
127 Ghana 0 1000 t 2023 volatile
127 Guinea 0 1000 t 2023 down 100.0% volatile
127 Guinea-Bissau 0 1000 t 2023 volatile
127 Grenada 0 1000 t 2023 flat
127 Guatemala 0 1000 t 2023 down 100.0% volatile
127 Honduras 0 1000 t 2023 flat
127 Iceland 0 1000 t 2023 flat
127 Cambodia 0 1000 t 2023 volatile
127 Kiribati 0 1000 t 2023 flat
127 Saint Kitts and Nevis 0 1000 t 2023 flat
127 Saint Lucia 0 1000 t 2023 volatile
127 Luxembourg 0 1000 t 2023 volatile
127 Maldives 0 1000 t 2023 flat
127 Marshall Islands 0 1000 t 2023 flat
127 Malta 0 1000 t 2023 flat
127 Mongolia 0 1000 t 2023 flat
127 Namibia 0 1000 t 2023 volatile
127 New Caledonia 0 1000 t 2023 flat
127 Nigeria 0 1000 t 2023 flat
127 Nicaragua 0 1000 t 2023 volatile
127 Nauru 0 1000 t 2023 flat
127 Papua New Guinea 0 1000 t 2023 flat
127 French Polynesia 0 1000 t 2023 flat
127 Solomon Islands 0 1000 t 2023 flat
127 El Salvador 0 1000 t 2023 flat
127 Sao Tome and Principe 0 1000 t 2023 flat
127 Eswatini 0 1000 t 2023 volatile
127 Seychelles 0 1000 t 2023 flat
127 Tonga 0 1000 t 2023 flat
127 Tuvalu 0 1000 t 2023 flat
127 Saint Vincent and the Grenadines 0 1000 t 2023 flat
127 Vanuatu 0 1000 t 2023 flat
127 Samoa 0 1000 t 2023 flat
127 Zambia 0 1000 t 2023 down 100.0% volatile
127 Micronesia 0 1000 t 2023 flat
127 Timor-Leste 0 1000 t 2023 flat
127 Cabo Verde 0 1000 t 2023 flat
127 Melanesia 0 1000 t 2023 down 100.0% volatile
127 Polynesia 0 1000 t 2023 flat
127 China, Hong Kong SAR 0 1000 t 2023 flat
127 Lao People's Democratic Republic 0 1000 t 2023 flat
127 China, Macao SAR 0 1000 t 2023 flat
179 Botswana -1 1000 t 2023 flat
180 Iran (Islamic Republic of) -52 1000 t 2023 down 642.9% 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 — Domestic supply quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
211 places, 2,846 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.