Peas — Losses 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
104
Highest
240 1000 t
Russian Federation
Lowest
0 1000 t
Netherlands (Kingdom of the)
Median
0 1000 t
Years covered
14
2010–2023
Data points
1,815

What the numbers show

Peas — Losses is currently reported for 104 countries. The highest value is 240 1000 t in Russian Federation; the lowest is 0 1000 t in Netherlands (Kingdom of the).

The median across all reporting countries is 0 1000 t, and the mean is 7.2 1000 t.

Over the past decade 18 countries rose and 12 fell. The largest increase was in United Kingdom of Great Britain and Northern Ireland (up 300.0%), and the largest decrease in Malawi (down 100.0%).

Peas — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 Russian Federation 240 1000 t 2023 up 172.7% rising
2 China 113 1000 t 2023 up 79.4% rising
2 China, mainland 113 1000 t 2023 up 79.4% rising
4 Canada 55 1000 t 2023 down 33.7% flat
5 Spain 30 1000 t 2023 up 100.0% rising
6 India 27 1000 t 2023 down 32.5% falling
7 Ethiopia 20 1000 t 2023 up 5.3% rising
8 Australia and New Zealand 16 1000 t 2023 down 5.9% falling
9 Australia 15 1000 t 2023 down 6.2% falling
10 France 12 1000 t 2023 down 20.0% falling
11 Latvia 8 1000 t 2023 volatile
11 United Kingdom of Great Britain and Northern Ireland 8 1000 t 2023 up 300.0% rising
13 Ukraine 7 1000 t 2023 down 46.2% volatile
14 Germany 6 1000 t 2023 up 50.0% rising
14 Lithuania 6 1000 t 2023 up 200.0% volatile
14 Romania 6 1000 t 2023 up 200.0% volatile
17 Czechia 5 1000 t 2023 up 150.0% rising
17 Kazakhstan 5 1000 t 2023 up 150.0% volatile
19 Estonia 4 1000 t 2023 up 100.0% rising
19 Finland 4 1000 t 2023 volatile
21 Belarus 3 1000 t 2023 unchanged rising
21 Colombia 3 1000 t 2023 unchanged volatile
21 Italy 3 1000 t 2023 up 50.0% rising
21 Peru 3 1000 t 2023 up 50.0% rising
21 Poland 3 1000 t 2023 up 200.0% rising
21 Sweden 3 1000 t 2023 up 200.0% rising
21 Uganda 3 1000 t 2023 up 50.0% rising
28 Denmark 2 1000 t 2023 up 100.0% rising
28 Hungary 2 1000 t 2023 volatile
28 Morocco 2 1000 t 2023 unchanged falling
28 Myanmar 2 1000 t 2023 down 33.3% falling
28 Slovakia 2 1000 t 2023 volatile
33 Argentina 1 1000 t 2023 down 66.7% falling
33 Austria 1 1000 t 2023 unchanged volatile
33 Bangladesh 1 1000 t 2023 unchanged falling
33 Bulgaria 1 1000 t 2023 volatile
33 Switzerland 1 1000 t 2023 volatile
33 Algeria 1 1000 t 2023 volatile
33 Sri Lanka 1 1000 t 2023 unchanged rising
33 Madagascar 1 1000 t 2023 unchanged flat
33 New Zealand 1 1000 t 2023 unchanged falling
33 Pakistan 1 1000 t 2023 unchanged volatile
33 Portugal 1 1000 t 2023 volatile
33 Rwanda 1 1000 t 2023 unchanged falling
33 Tajikistan 1 1000 t 2023 volatile
33 Turkmenistan 1 1000 t 2023 unchanged flat
33 Republic of Moldova 1 1000 t 2023 volatile
33 Venezuela (Bolivarian Republic of) 1 1000 t 2023 unchanged volatile
33 Türkiye 1 1000 t 2023 volatile
33 United Republic of Tanzania 1 1000 t 2023 down 83.3% volatile
51 Armenia 0 1000 t 2023 flat
51 Azerbaijan 0 1000 t 2023 volatile
51 Belgium 0 1000 t 2023 flat
51 Bahrain 0 1000 t 2023 flat
51 Bosnia and Herzegovina 0 1000 t 2023 flat
51 Belize 0 1000 t 2023 flat
51 Brazil 0 1000 t 2023 flat
51 Bhutan 0 1000 t 2023 flat
51 Chile 0 1000 t 2023 flat
51 Congo 0 1000 t 2023 flat
51 Cyprus 0 1000 t 2023 flat
51 Dominican Republic 0 1000 t 2023 flat
51 Ecuador 0 1000 t 2023 flat
51 Egypt 0 1000 t 2023 flat
51 Georgia 0 1000 t 2023 flat
51 Greece 0 1000 t 2023 flat
51 Guyana 0 1000 t 2023 flat
51 Croatia 0 1000 t 2023 flat
51 Ireland 0 1000 t 2023 flat
51 Israel 0 1000 t 2023 flat
51 Jamaica 0 1000 t 2023 flat
51 Kyrgyzstan 0 1000 t 2023 volatile
51 Lebanon 0 1000 t 2023 flat
51 Libya 0 1000 t 2023 flat
51 Lesotho 0 1000 t 2023 flat
51 Luxembourg 0 1000 t 2023 flat
51 Mexico 0 1000 t 2023 flat
51 North Macedonia 0 1000 t 2023 flat
51 Montenegro 0 1000 t 2023 flat
51 Mauritania 0 1000 t 2023 volatile
51 Malawi 0 1000 t 2023 down 100.0% volatile
51 Niger 0 1000 t 2023 flat
51 Norway 0 1000 t 2023 flat
51 Philippines 0 1000 t 2023 flat
51 Paraguay 0 1000 t 2023 flat
51 Qatar 0 1000 t 2023 flat
51 Saudi Arabia 0 1000 t 2023 flat
51 Sierra Leone 0 1000 t 2023 down 100.0% volatile
51 Serbia 0 1000 t 2019 flat
51 Suriname 0 1000 t 2023 flat
51 Slovenia 0 1000 t 2023 flat
51 Thailand 0 1000 t 2023 flat
51 Trinidad and Tobago 0 1000 t 2023 flat
51 Tunisia 0 1000 t 2023 down 100.0% volatile
51 Uruguay 0 1000 t 2023 flat
51 Uzbekistan 0 1000 t 2023 flat
51 Yemen 0 1000 t 2023 volatile
51 Democratic Republic of the Congo 0 1000 t 2023 flat
51 Caribbean 0 1000 t 2023 flat
51 Bolivia (Plurinational State of) 0 1000 t 2023 flat
51 Iran (Islamic Republic of) 0 1000 t 2019 flat
51 Republic of Korea 0 1000 t 2023 flat
51 Syrian Arab Republic 0 1000 t 2023 flat
51 Netherlands (Kingdom of the) 0 1000 t 2023 flat

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 — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
135 places, 1,815 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.