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
177
Highest
27,343 1000 t
Indonesia
Lowest
0 1000 t
Saint Vincent and the Grenadines
Median
11 1000 t
Years covered
14
2010–2023
Data points
2,819

What the numbers show

Oilcrops — Losses is currently reported for 177 countries. The highest value is 27,343 1000 t in Indonesia; the lowest is 0 1000 t in Saint Vincent and the Grenadines.

The median across all reporting countries is 11 1000 t, and the mean is 341.74 1000 t.

Over the past decade 80 countries rose and 49 fell. The largest increase was in United Kingdom of Great Britain and Northern Ireland (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 Russian Federation 1,449 1000 t 2023 up 151.1% rising
7 Malaysia 1,365 1000 t 2023 up 0.7% rising
8 France 787 1000 t 2023 up 5.8% falling
9 Ghana 765 1000 t 2023 up 37.3% rising
10 Nigeria 723 1000 t 2023 up 39.6% rising
11 Canada 648 1000 t 2023 up 1.4% falling
12 Paraguay 580 1000 t 2023 down 17.7% falling
13 Thailand 509 1000 t 2023 up 43.0% rising
14 Argentina 481 1000 t 2023 down 15.0% flat
15 Spain 436 1000 t 2023 up 412.9% volatile
16 Türkiye 344 1000 t 2023 up 37.1% rising
17 Peru 337 1000 t 2023 up 169.6% rising
18 Mexico 305 1000 t 2023 up 24.0% rising
19 Germany 272 1000 t 2023 up 140.7% rising
20 Egypt 268 1000 t 2023 up 396.3% volatile
21 Greece 267 1000 t 2023 up 888.9% volatile
22 Guinea 261 1000 t 2023 up 207.1% volatile
23 Democratic Republic of the Congo 234 1000 t 2023 down 15.2% flat
24 Viet Nam 233 1000 t 2023 up 38.7% rising
25 United Republic of Tanzania 219 1000 t 2023 down 19.2% rising
26 Melanesia 207 1000 t 2023 up 24.7% rising
27 Sri Lanka 191 1000 t 2023 up 2.7% rising
28 Australia and New Zealand 189 1000 t 2023 up 89.0% rising
29 Australia 188 1000 t 2023 up 89.9% rising
29 Myanmar 188 1000 t 2023 down 2.1% falling
31 Pakistan 173 1000 t 2023 up 17.7% falling
32 Papua New Guinea 161 1000 t 2023 up 34.2% rising
33 Poland 157 1000 t 2023 up 89.2% rising
34 Morocco 153 1000 t 2023 down 11.0% rising
35 United Kingdom of Great Britain and Northern Ireland 142 1000 t 2023 up 4,633.3% volatile
36 Colombia 131 1000 t 2023 up 52.3% rising
37 Belgium 97 1000 t 2023 up 94.0% falling
38 Cameroon 94 1000 t 2023 up 10.6% rising
39 Kazakhstan 91 1000 t 2023 up 65.5% rising
40 Gabon 90 1000 t 2023 up 1,700.0% volatile
40 Caribbean 90 1000 t 2023 up 55.2% rising
42 Bulgaria 87 1000 t 2023 up 19.2% falling
43 Portugal 79 1000 t 2023 up 29.5% rising
44 Bangladesh 77 1000 t 2023 up 108.1% rising
45 Algeria 71 1000 t 2023 up 54.3% rising
46 Burkina Faso 70 1000 t 2023 up 66.7% rising
47 Côte d'Ivoire 68 1000 t 2023 up 47.8% rising
48 Tunisia 65 1000 t 2023 down 22.6% rising
49 Mozambique 63 1000 t 2023 up 53.7% rising
50 Iran (Islamic Republic of) 60 1000 t 2023 up 13.2% rising
51 Ethiopia 58 1000 t 2023 unchanged flat
52 Bolivia (Plurinational State of) 57 1000 t 2023 unchanged rising
53 Guatemala 53 1000 t 2023 up 76.7% rising
53 Syrian Arab Republic 53 1000 t 2023 down 18.5% falling
55 Ecuador 52 1000 t 2023 down 13.3% falling
56 Zambia 50 1000 t 2023 up 177.8% rising
57 Uruguay 47 1000 t 2023 down 46.0% falling
58 Serbia 46 1000 t 2023 down 6.1% rising
59 Italy 44 1000 t 2023 up 12.8% rising
60 Senegal 41 1000 t 2023 up 105.0% rising
61 Dominican Republic 40 1000 t 2023 up 81.8% rising
62 Malawi 39 1000 t 2023 up 30.0% rising
63 Jamaica 36 1000 t 2023 up 80.0% volatile
64 Czechia 33 1000 t 2023 up 32.0% rising
65 Slovakia 32 1000 t 2023 down 5.9% flat
66 Honduras 28 1000 t 2023 unchanged rising
67 Angola 27 1000 t 2023 up 22.7% rising
67 Vanuatu 27 1000 t 2023 down 10.0% falling
69 Niger 25 1000 t 2023 up 47.1% rising
70 Hungary 22 1000 t 2023 up 37.5% rising
70 Uganda 22 1000 t 2023 up 10.0% rising
72 Zimbabwe 21 1000 t 2023 up 75.0% rising
72 Micronesia 21 1000 t 2023 up 61.5% rising
74 Nepal 18 1000 t 2023 down 47.1% falling
74 Ukraine 18 1000 t 2023 down 93.6% volatile
76 Lithuania 17 1000 t 2023 down 45.2% rising
76 Republic of Moldova 17 1000 t 2023 up 30.8% rising
78 Philippines 16 1000 t 2023 down 5.9% falling
78 Solomon Islands 16 1000 t 2023 up 14.3% rising
78 Turkmenistan 16 1000 t 2023 down 11.1% falling
81 Cambodia 15 1000 t 2023 down 37.5% falling
81 Venezuela (Bolivarian Republic of) 15 1000 t 2023 up 7.1% rising
83 Chile 14 1000 t 2023 down 30.0% rising
83 Polynesia 14 1000 t 2023 down 30.0% falling
85 Austria 13 1000 t 2023 down 13.3% falling
85 Kiribati 13 1000 t 2023 unchanged flat
87 Israel 12 1000 t 2023 down 33.3% falling
88 Kenya 11 1000 t 2023 down 38.9% falling
88 Sierra Leone 11 1000 t 2023 up 10.0% rising
90 Belarus 10 1000 t 2023 up 25.0% rising
90 Guinea-Bissau 10 1000 t 2023 up 42.9% rising
90 Nicaragua 10 1000 t 2023 down 37.5% falling
90 Republic of Korea 10 1000 t 2023 up 11.1% falling
90 Democratic People's Republic of Korea 10 1000 t 2018 down 61.5% falling
95 Uzbekistan 9 1000 t 2023 up 50.0% rising
96 Guyana 8 1000 t 2023 down 42.9% volatile
96 Iraq 8 1000 t 2023 up 166.7% rising
96 Libya 8 1000 t 2023 down 46.7% falling
96 El Salvador 8 1000 t 2023 up 33.3% rising
100 Finland 7 1000 t 2023 up 16.7% falling
100 Latvia 7 1000 t 2023 up 133.3% rising
100 China, Taiwan Province of 7 1000 t 2023 up 16.7% flat
103 Comoros 6 1000 t 2023 down 25.0% falling
103 Micronesia (Federated States of) 6 1000 t 2023 rising
105 Gambia 5 1000 t 2023 down 37.5% falling
105 Madagascar 5 1000 t 2023 unchanged flat
105 Panama 5 1000 t 2023 up 150.0% volatile
105 French Polynesia 5 1000 t 2023 down 16.7% falling
105 Romania 5 1000 t 2023 down 89.1% volatile
105 Sweden 5 1000 t 2023 volatile
105 Samoa 5 1000 t 2023 down 61.5% volatile
105 Lao People's Democratic Republic 5 1000 t 2023 down 16.7% falling
113 Congo 4 1000 t 2023 down 20.0% falling
113 Cuba 4 1000 t 2019 down 42.9% falling
113 Estonia 4 1000 t 2023 down 42.9% falling
113 Croatia 4 1000 t 2023 down 55.6% volatile
113 Haiti 4 1000 t 2023 down 33.3% falling
113 Liberia 4 1000 t 2023 unchanged flat
113 Saint Lucia 4 1000 t 2023 up 300.0% volatile
113 Tajikistan 4 1000 t 2023 up 300.0% rising
113 Tonga 4 1000 t 2023 flat
122 Azerbaijan 3 1000 t 2023 up 50.0% rising
122 Switzerland 3 1000 t 2023 volatile
122 Ireland 3 1000 t 2023 up 200.0% rising
122 Lebanon 3 1000 t 2023 up 50.0% rising
122 Rwanda 3 1000 t 2023 unchanged flat
122 Timor-Leste 3 1000 t 2023 up 200.0% rising
128 Afghanistan 2 1000 t 2023 down 33.3% rising
128 Albania 2 1000 t 2023 unchanged falling
128 Bosnia and Herzegovina 2 1000 t 2023 up 100.0% rising
128 Belize 2 1000 t 2023 volatile
128 Cyprus 2 1000 t 2023 up 100.0% rising
128 Grenada 2 1000 t 2023 up 100.0% rising
128 Jordan 2 1000 t 2023 down 71.4% volatile
128 Kyrgyzstan 2 1000 t 2023 down 50.0% falling
128 Marshall Islands 2 1000 t 2023 rising
128 Slovenia 2 1000 t 2023 unchanged volatile
128 Yemen 2 1000 t 2023 unchanged flat
128 Cabo Verde 2 1000 t 2023 down 33.3% falling
140 Costa Rica 1 1000 t 2023 unchanged falling
140 Fiji 1 1000 t 2023 unchanged volatile
140 Luxembourg 1 1000 t 2023 down 50.0% volatile
140 North Macedonia 1 1000 t 2023 unchanged falling
140 Mongolia 1 1000 t 2023 down 66.7% volatile
140 New Caledonia 1 1000 t 2023 unchanged flat
140 New Zealand 1 1000 t 2023 volatile
140 China, Hong Kong SAR 1 1000 t 2023 down 50.0% falling
140 Netherlands (Kingdom of the) 1 1000 t 2023 unchanged rising
149 United Arab Emirates 0 1000 t 2023 flat
149 Armenia 0 1000 t 2023 flat
149 Antigua and Barbuda 0 1000 t 2023 flat
149 Bahrain 0 1000 t 2023 flat
149 Bahamas 0 1000 t 2023 flat
149 Barbados 0 1000 t 2023 flat
149 Bhutan 0 1000 t 2023 flat
149 Botswana 0 1000 t 2023 volatile
149 Denmark 0 1000 t 2023 flat
149 Georgia 0 1000 t 2023 down 100.0% volatile
149 Saint Kitts and Nevis 0 1000 t 2023 flat
149 Kuwait 0 1000 t 2023 flat
149 Maldives 0 1000 t 2023 flat
149 Malta 0 1000 t 2023 flat
149 Montenegro 0 1000 t 2023 flat
149 Mauritania 0 1000 t 2023 flat
149 Mauritius 0 1000 t 2023 flat
149 Namibia 0 1000 t 2023 flat
149 Norway 0 1000 t 2023 volatile
149 Nauru 0 1000 t 2023 flat
149 Qatar 0 1000 t 2023 flat
149 Saudi Arabia 0 1000 t 2023 down 100.0% volatile
149 Sao Tome and Principe 0 1000 t 2023 down 100.0% volatile
149 Suriname 0 1000 t 2023 flat
149 Eswatini 0 1000 t 2023 flat
149 Seychelles 0 1000 t 2023 flat
149 Trinidad and Tobago 0 1000 t 2023 flat
149 Tuvalu 0 1000 t 2023 flat
149 Saint Vincent and the Grenadines 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 — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
208 places, 2,819 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.