Oilcrops — 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
164
Highest
27,343 1000 t
Indonesia
Lowest
0 1000 t
Sao Tome and Principe
Median
18 1000 t
Years covered
14
2010–2023
Data points
2,964

What the numbers show

Oilcrops — Losses is currently reported for 164 countries. The highest value is 27,343 1000 t in Indonesia; the lowest is 0 1000 t in Sao Tome and Principe.

The median across all reporting countries is 18 1000 t, and the mean is 389.37 1000 t.

Over the past decade 89 countries rose and 51 fell. The largest increase was in United Kingdom (up 4,633.3%), and the largest decrease in Georgia (down 100.0%).

Oilcrops — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 Indonesia 27,343 1000 t 2023 up 51.5% rising
2 Brazil 6,596 1000 t 2023 up 2,671.4% volatile
3 India 4,509 1000 t 2023 up 19.0% rising
4 China 3,611 1000 t 2023 up 23.4% rising
5 China, mainland 3,603 1000 t 2023 up 23.4% rising
6 Russia 1,449 1000 t 2023 up 151.1% rising
6 Russian Federation 1,449 1000 t 2023 up 151.1% rising
8 Malaysia 1,365 1000 t 2023 up 0.7% rising
9 United States 842 1000 t 2023 up 33.0% rising
10 France 787 1000 t 2023 up 5.8% falling
11 Ghana 765 1000 t 2023 up 37.3% rising
12 Nigeria 723 1000 t 2023 up 39.6% rising
13 Canada 648 1000 t 2023 up 1.4% falling
14 Paraguay 580 1000 t 2023 down 17.7% falling
15 Thailand 509 1000 t 2023 up 43.0% rising
16 Argentina 481 1000 t 2023 down 15.0% flat
17 Spain 436 1000 t 2023 up 412.9% volatile
18 Turkey 344 1000 t 2023 up 37.1% rising
18 Türkiye 344 1000 t 2023 up 37.1% rising
20 Peru 337 1000 t 2023 up 169.6% rising
21 Mexico 305 1000 t 2023 up 24.0% rising
22 Germany 272 1000 t 2023 up 140.7% rising
23 Egypt 268 1000 t 2023 up 396.3% volatile
24 Greece 267 1000 t 2023 up 888.9% volatile
25 Guinea 261 1000 t 2023 up 207.1% volatile
26 Democratic Republic of the Congo 234 1000 t 2023 down 15.2% flat
27 Vietnam 233 1000 t 2023 up 38.7% rising
27 Viet Nam 233 1000 t 2023 up 38.7% rising
29 United Republic of Tanzania 219 1000 t 2023 down 19.2% rising
30 South Africa 212 1000 t 2023 up 73.8% rising
31 Melanesia 207 1000 t 2023 up 24.7% rising
32 Sri Lanka 191 1000 t 2023 up 2.7% rising
33 Australia and New Zealand 189 1000 t 2023 up 89.0% rising
34 Australia 188 1000 t 2023 up 89.9% rising
34 Myanmar 188 1000 t 2023 down 2.1% falling
36 Pakistan 173 1000 t 2023 up 17.7% falling
37 Papua New Guinea 161 1000 t 2023 up 34.2% rising
38 Poland 157 1000 t 2023 up 89.2% rising
39 Morocco 153 1000 t 2023 down 11.0% rising
40 United Kingdom 142 1000 t 2023 up 4,633.3% volatile
40 United Kingdom of Great Britain and Northern Ireland 142 1000 t 2023 up 4,633.3% volatile
42 Colombia 131 1000 t 2023 up 52.3% rising
43 Belgium 97 1000 t 2023 up 94.0% falling
44 Cameroon 94 1000 t 2023 up 10.6% rising
45 Kazakhstan 91 1000 t 2023 up 65.5% rising
46 Gabon 90 1000 t 2023 up 1,700.0% volatile
46 Caribbean 90 1000 t 2023 up 55.2% rising
48 Bulgaria 87 1000 t 2023 up 19.2% falling
49 Portugal 79 1000 t 2023 up 29.5% rising
50 Bangladesh 77 1000 t 2023 up 108.1% rising
51 Algeria 71 1000 t 2023 up 54.3% rising
52 Burkina Faso 70 1000 t 2023 up 66.7% rising
53 Cote d'Ivoire 68 1000 t 2023 up 47.8% rising
53 Côte d'Ivoire 68 1000 t 2023 up 47.8% rising
55 Tunisia 65 1000 t 2023 down 22.6% rising
56 Mozambique 63 1000 t 2023 up 53.7% rising
57 Iran (Islamic Republic of) 60 1000 t 2023 up 13.2% rising
58 Ethiopia 58 1000 t 2023 unchanged flat
59 Bolivia (Plurinational State of) 57 1000 t 2023 unchanged rising
60 Guatemala 53 1000 t 2023 up 76.7% rising
60 Syria 53 1000 t 2023 down 18.5% falling
60 Syrian Arab Republic 53 1000 t 2023 down 18.5% falling
63 Ecuador 52 1000 t 2023 down 13.3% falling
64 Zambia 50 1000 t 2023 up 177.8% rising
65 Uruguay 47 1000 t 2023 down 46.0% falling
66 Serbia 46 1000 t 2023 down 6.1% rising
67 Italy 44 1000 t 2023 up 12.8% rising
68 Senegal 41 1000 t 2023 up 105.0% rising
69 Dominican Republic 40 1000 t 2023 up 81.8% rising
70 Malawi 39 1000 t 2023 up 30.0% rising
71 Jamaica 36 1000 t 2023 up 80.0% volatile
72 Czechia 33 1000 t 2023 up 32.0% rising
73 Slovakia 32 1000 t 2023 down 5.9% flat
74 Honduras 28 1000 t 2023 unchanged rising
75 Angola 27 1000 t 2023 up 22.7% rising
75 Vanuatu 27 1000 t 2023 down 10.0% falling
77 Niger 25 1000 t 2023 up 47.1% rising
78 Hungary 22 1000 t 2023 up 37.5% rising
78 Uganda 22 1000 t 2023 up 10.0% rising
80 Zimbabwe 21 1000 t 2023 up 75.0% rising
80 Micronesia 21 1000 t 2023 up 61.5% rising
82 Nepal 18 1000 t 2023 down 47.1% falling
82 Ukraine 18 1000 t 2023 down 93.6% volatile
84 Lithuania 17 1000 t 2023 down 45.2% rising
84 Moldova 17 1000 t 2023 up 30.8% rising
84 Republic of Moldova 17 1000 t 2023 up 30.8% rising
87 Philippines 16 1000 t 2023 down 5.9% falling
87 Solomon Islands 16 1000 t 2023 up 14.3% rising
87 Turkmenistan 16 1000 t 2023 down 11.1% falling
90 Cambodia 15 1000 t 2023 down 37.5% falling
90 Venezuela (Bolivarian Republic of) 15 1000 t 2023 up 7.1% rising
92 Chile 14 1000 t 2023 down 30.0% rising
92 Polynesia 14 1000 t 2023 down 30.0% falling
94 Austria 13 1000 t 2023 down 13.3% falling
94 Kiribati 13 1000 t 2023 unchanged flat
96 Israel 12 1000 t 2023 down 33.3% falling
97 Kenya 11 1000 t 2023 down 38.9% falling
97 Sierra Leone 11 1000 t 2023 up 10.0% rising
99 Belarus 10 1000 t 2023 up 25.0% rising
99 Guinea-Bissau 10 1000 t 2023 up 42.9% rising
99 Nicaragua 10 1000 t 2023 down 37.5% falling
99 Republic of Korea 10 1000 t 2023 up 11.1% falling
99 Democratic People's Republic of Korea 10 1000 t 2018 down 61.5% falling
104 Uzbekistan 9 1000 t 2023 up 50.0% rising
105 Guyana 8 1000 t 2023 down 42.9% volatile
105 Iraq 8 1000 t 2023 up 166.7% rising
105 Libya 8 1000 t 2023 down 46.7% falling
105 El Salvador 8 1000 t 2023 up 33.3% rising
109 Finland 7 1000 t 2023 up 16.7% falling
109 Latvia 7 1000 t 2023 up 133.3% rising
109 China, Taiwan Province of 7 1000 t 2023 up 16.7% flat
112 Comoros 6 1000 t 2023 down 25.0% falling
112 Micronesia (Federated States of) 6 1000 t 2023 — rising
114 Gambia 5 1000 t 2023 down 37.5% falling
114 Laos 5 1000 t 2023 down 16.7% falling
114 Madagascar 5 1000 t 2023 unchanged flat
114 Panama 5 1000 t 2023 up 150.0% volatile
114 French Polynesia 5 1000 t 2023 down 16.7% falling
114 Romania 5 1000 t 2023 down 89.1% volatile
114 Sweden 5 1000 t 2023 — volatile
114 Samoa 5 1000 t 2023 down 61.5% volatile
114 Lao People's Democratic Republic 5 1000 t 2023 down 16.7% falling
123 Congo 4 1000 t 2023 down 20.0% falling
123 Cuba 4 1000 t 2019 down 42.9% falling
123 Estonia 4 1000 t 2023 down 42.9% falling
123 Croatia 4 1000 t 2023 down 55.6% volatile
123 Haiti 4 1000 t 2023 down 33.3% falling
123 Liberia 4 1000 t 2023 unchanged flat
123 Saint Lucia 4 1000 t 2023 up 300.0% volatile
123 Tajikistan 4 1000 t 2023 up 300.0% rising
123 Tonga 4 1000 t 2023 — flat
132 Azerbaijan 3 1000 t 2023 up 50.0% rising
132 Switzerland 3 1000 t 2023 — volatile
132 Ireland 3 1000 t 2023 up 200.0% rising
132 Lebanon 3 1000 t 2023 up 50.0% rising
132 Rwanda 3 1000 t 2023 unchanged flat
132 East Timor 3 1000 t 2023 up 200.0% rising
132 Timor-Leste 3 1000 t 2023 up 200.0% rising
139 Afghanistan 2 1000 t 2023 down 33.3% rising
139 Albania 2 1000 t 2023 unchanged falling
139 Bosnia and Herzegovina 2 1000 t 2023 up 100.0% rising
139 Belize 2 1000 t 2023 — volatile
139 Cyprus 2 1000 t 2023 up 100.0% rising
139 Grenada 2 1000 t 2023 up 100.0% rising
139 Jordan 2 1000 t 2023 down 71.4% volatile
139 Kyrgyzstan 2 1000 t 2023 down 50.0% falling
139 Marshall Islands 2 1000 t 2023 — rising
139 Slovenia 2 1000 t 2023 unchanged volatile
139 Yemen 2 1000 t 2023 unchanged flat
139 Cabo Verde 2 1000 t 2023 down 33.3% falling
151 Costa Rica 1 1000 t 2023 unchanged falling
151 Fiji 1 1000 t 2023 unchanged volatile
151 Luxembourg 1 1000 t 2023 down 50.0% volatile
151 North Macedonia 1 1000 t 2023 unchanged falling
151 Mongolia 1 1000 t 2023 down 66.7% volatile
151 New Caledonia 1 1000 t 2023 unchanged flat
151 New Zealand 1 1000 t 2023 — volatile
151 China, Hong Kong SAR 1 1000 t 2023 down 50.0% falling
151 Netherlands (Kingdom of the) 1 1000 t 2023 unchanged rising
160 Botswana 0 1000 t 2023 — volatile
160 Georgia 0 1000 t 2023 down 100.0% volatile
160 Norway 0 1000 t 2023 — volatile
160 Saudi Arabia 0 1000 t 2023 down 100.0% volatile
160 Sao Tome and Principe 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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Oilcrops — Losses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/oilcrops-losses-2/

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About this data

Indicator
Oilcrops — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
219 places, 2,964 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.