Oilcrops, Other — 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
105
Highest
352 1000 t
India
Lowest
0 1000 t
Netherlands (Kingdom of the)
Median
1 1000 t
Years covered
14
2010–2023
Data points
1,774

What the numbers show

Oilcrops, Other — Losses is currently reported for 105 countries. The highest value is 352 1000 t in India; the lowest is 0 1000 t in Netherlands (Kingdom of the).

The median across all reporting countries is 1 1000 t, and the mean is 9.7 1000 t.

Over the past decade 22 countries rose and 13 fell. The largest increase was in Ghana (up 1,900.0%), and the largest decrease in Belarus (down 100.0%).

Oilcrops, Other — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 India 352 1000 t 2023 up 9.0% falling
2 Nigeria 114 1000 t 2023 up 3.6% rising
3 China 89 1000 t 2023 up 17.1% falling
4 China, mainland 88 1000 t 2023 up 15.8% falling
5 Russian Federation 82 1000 t 2023 up 331.6% volatile
6 Kazakhstan 48 1000 t 2023 up 33.3% rising
7 Ghana 20 1000 t 2023 up 1,900.0% volatile
8 Thailand 19 1000 t 2023 up 5.6% falling
9 Ethiopia 16 1000 t 2023 down 30.4% falling
9 Indonesia 16 1000 t 2023 down 20.0% falling
11 Pakistan 13 1000 t 2023 up 30.0% rising
12 Burkina Faso 12 1000 t 2023 up 200.0% rising
13 Canada 11 1000 t 2023 down 54.2% falling
13 France 11 1000 t 2023 up 37.5% rising
13 Mozambique 11 1000 t 2023 unchanged flat
13 Democratic Republic of the Congo 11 1000 t 2023 up 22.2% rising
17 Nepal 8 1000 t 2023 down 70.4% volatile
18 Malaysia 7 1000 t 2023 down 50.0% falling
19 Poland 6 1000 t 2023 up 200.0% rising
20 Mexico 5 1000 t 2023 down 28.6% volatile
20 Ukraine 5 1000 t 2023 up 66.7% falling
20 Iran (Islamic Republic of) 5 1000 t 2023 down 44.4% falling
20 Türkiye 5 1000 t 2023 unchanged falling
20 Côte d'Ivoire 5 1000 t 2023 up 66.7% rising
20 United Republic of Tanzania 5 1000 t 2023 up 25.0% rising
26 Argentina 4 1000 t 2023 down 20.0% falling
26 Cameroon 4 1000 t 2023 up 33.3% flat
26 Czechia 4 1000 t 2023 volatile
26 Kenya 4 1000 t 2023 up 33.3% rising
26 Niger 4 1000 t 2023 up 100.0% rising
31 Uzbekistan 3 1000 t 2023 up 50.0% falling
31 Republic of Korea 3 1000 t 2023 up 50.0% rising
31 United Kingdom of Great Britain and Northern Ireland 3 1000 t 2023 unchanged rising
34 Bangladesh 2 1000 t 2023 up 100.0% rising
34 Germany 2 1000 t 2023 unchanged flat
34 Spain 2 1000 t 2023 volatile
34 Slovakia 2 1000 t 2023 volatile
34 Tajikistan 2 1000 t 2023 volatile
39 Afghanistan 1 1000 t 2023 volatile
39 Angola 1 1000 t 2023 down 50.0% falling
39 Australia 1 1000 t 2023 unchanged flat
39 Austria 1 1000 t 2023 unchanged rising
39 Azerbaijan 1 1000 t 2023 unchanged flat
39 Brazil 1 1000 t 2023 unchanged volatile
39 Egypt 1 1000 t 2023 unchanged falling
39 Hungary 1 1000 t 2023 volatile
39 Lithuania 1 1000 t 2023 volatile
39 Myanmar 1 1000 t 2023 unchanged flat
39 Philippines 1 1000 t 2023 unchanged flat
39 Uganda 1 1000 t 2023 unchanged flat
39 Zimbabwe 1 1000 t 2023 unchanged flat
39 Australia and New Zealand 1 1000 t 2023 unchanged flat
39 China, Taiwan Province of 1 1000 t 2023 unchanged flat
54 Armenia 0 1000 t 2023 flat
54 Belgium 0 1000 t 2023 volatile
54 Bulgaria 0 1000 t 2023 flat
54 Bahrain 0 1000 t 2023 flat
54 Bosnia and Herzegovina 0 1000 t 2019 flat
54 Belarus 0 1000 t 2023 down 100.0% volatile
54 Switzerland 0 1000 t 2023 flat
54 Chile 0 1000 t 2023 flat
54 Congo 0 1000 t 2023 flat
54 Cyprus 0 1000 t 2018 flat
54 Denmark 0 1000 t 2023 flat
54 Dominican Republic 0 1000 t 2019 flat
54 Algeria 0 1000 t 2023 flat
54 Ecuador 0 1000 t 2023 flat
54 Estonia 0 1000 t 2023 flat
54 Greece 0 1000 t 2023 volatile
54 Croatia 0 1000 t 2023 flat
54 Haiti 0 1000 t 2023 flat
54 Iraq 0 1000 t 2023 flat
54 Israel 0 1000 t 2023 flat
54 Italy 0 1000 t 2023 down 100.0% volatile
54 Kyrgyzstan 0 1000 t 2023 down 100.0% volatile
54 Cambodia 0 1000 t 2023 flat
54 Lebanon 0 1000 t 2023 flat
54 Luxembourg 0 1000 t 2023 flat
54 Latvia 0 1000 t 2023 flat
54 Morocco 0 1000 t 2023 flat
54 Madagascar 0 1000 t 2023 flat
54 North Macedonia 0 1000 t 2023 flat
54 Mauritania 0 1000 t 2023 flat
54 Malawi 0 1000 t 2022 flat
54 Nicaragua 0 1000 t 2019 flat
54 New Zealand 0 1000 t 2023 flat
54 Peru 0 1000 t 2023 flat
54 Portugal 0 1000 t 2023 down 100.0% volatile
54 Romania 0 1000 t 2023 flat
54 Senegal 0 1000 t 2023 flat
54 El Salvador 0 1000 t 2019 flat
54 Serbia 0 1000 t 2023 flat
54 Slovenia 0 1000 t 2023 flat
54 Sweden 0 1000 t 2023 flat
54 Turkmenistan 0 1000 t 2019 flat
54 Tunisia 0 1000 t 2023 flat
54 Uruguay 0 1000 t 2023 flat
54 Samoa 0 1000 t 2023 flat
54 Cabo Verde 0 1000 t 2023 flat
54 Polynesia 0 1000 t 2023 flat
54 Caribbean 0 1000 t 2023 flat
54 Bolivia (Plurinational State of) 0 1000 t 2023 flat
54 Syrian Arab Republic 0 1000 t 2023 flat
54 Viet Nam 0 1000 t 2023 volatile
54 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
Oilcrops, Other — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
136 places, 1,774 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.