Statizoid

Oilcrops — Stock Variation by country

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
175
Highest
1.01 million t
USSR
Lowest
-5.34 million t
Argentina
Median
0 t
Years covered
53
1961–2013
Data points
9,853

What the numbers show

Oilcrops — Stock Variation is currently reported for 175 countries. The highest value is 1.01 million t in USSR; the lowest is -5.34 million t in Argentina.

The median across all reporting countries is 0 t, and the mean is -63,444 t.

Over the past decade 79 countries rose and 54 fell. The largest increase was in Belarus (up 1,000,100.0%), and the largest decrease in Albania (down 65,819.6%).

Oilcrops — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 USSR 1.01 million t 1991 up 7,223.2% volatile
1 Bolivia (Plurinational State of) 97,700 t 2013 up 2.2% volatile
2 Netherlands (Kingdom of the) 775,796 t 2013 up 353.4% volatile
2 Republic of Moldova 8,000 t 2013 up 106.7% volatile
3 Uruguay 563,100 t 2013 up 663.1% volatile
3 Polynesia 7,245 t 2013 up 183.6% volatile
4 Australia 534,291 t 2013 up 181.5% volatile
4 Australia and New Zealand 534,291 t 2013 up 181.5% volatile
4 Venezuela (Bolivarian Republic of) 3,570 t 2013 down 9.0% volatile
5 Timor-Leste 0 t 2013 — volatile
5 Viet Nam 0 t 2013 up 100.0% volatile
6 Belgium 352,400 t 2013 up 698.8% volatile
7 China, Taiwan Province of 337,455 t 2013 up 316.1% volatile
7 Caribbean 21,803 t 2013 up 135.6% volatile
8 France 300,000 t 2013 up 886.8% volatile
8 Lao People's Democratic Republic -3,500 t 2013 — volatile
9 Slovakia 240,000 t 2013 up 1,411.5% volatile
9 Melanesia -3,775 t 2013 up 93.6% volatile
10 Poland 239,971 t 2013 up 167.3% volatile
10 Cabo Verde 0 t 2013 — flat
10 Micronesia -8,951 t 2013 — volatile
11 Ukraine 219,490 t 2013 up 170.1% volatile
12 Turkmenistan 180,000 t 2013 — volatile
12 Iran (Islamic Republic of) -109,838 t 2013 up 66.7% volatile
13 Senegal 168,500 t 2013 up 29.6% volatile
13 United Republic of Tanzania -670,000 t 2013 down 1,821.2% volatile
14 Ghana 161,205 t 2013 up 442.8% volatile
15 Mexico 107,530 t 2013 up 408.3% volatile
16 United Arab Emirates 104,286 t 2013 up 44,143.2% volatile
17 Belarus 100,000 t 2013 up 1,000,100.0% volatile
18 Greece 89,986 t 2013 up 550.4% volatile
19 Egypt 76,061 t 2013 up 36.8% volatile
20 Paraguay 63,000 t 2013 up 107.1% volatile
21 Bulgaria 57,500 t 2013 up 156.9% volatile
22 Czechoslovakia 56,200 t 1992 up 662.0% volatile
23 United Kingdom of Great Britain and Northern Ireland 50,200 t 2013 up 490.6% volatile
24 Lithuania 50,000 t 2013 up 1,062.8% flat
24 Pakistan 50,000 t 2013 up 149.3% volatile
26 Serbia and Montenegro 40,000 t 2005 up 525.0% volatile
27 Israel 35,461 t 2013 up 1,923.2% volatile
28 Togo 32,840 t 2013 up 756.8% volatile
29 Yugoslav SFR 30,200 t 1991 up 154.9% volatile
30 Cuba 24,000 t 2013 up 161.7% volatile
31 Costa Rica 23,850 t 2013 up 222.3% volatile
32 Croatia 19,500 t 2013 down 60.9% volatile
33 Romania 17,010 t 2013 up 105.7% volatile
34 Georgia 13,510 t 2013 up 124.7% volatile
35 Tunisia 12,000 t 2013 up 1,731.1% flat
36 Malaysia 12,000 t 2013 up 11,899.7% volatile
37 Czechia 10,100 t 2013 down 88.6% volatile
38 Zimbabwe 10,000 t 2013 down 86.6% volatile
38 T�rkiye 10,000 t 2013 up 158.8% volatile
40 Nicaragua 8,265 t 2013 up 146.5% volatile
41 Denmark 7,859 t 2013 up 122.9% volatile
42 French Polynesia 7,245 t 2013 up 268.5% volatile
43 Vanuatu 5,600 t 2013 up 107.4% volatile
44 Ethiopia PDR 5,000 t 1992 — flat
45 Panama 2,900 t 2013 — flat
46 Chile 2,570 t 2013 up 110.8% volatile
47 Uganda 2,143 t 2013 — volatile
48 Gambia 2,000 t 2013 — volatile
49 Indonesia 1,622 t 2013 up 100.3% volatile
50 Uzbekistan 1,400 t 2013 up 108.8% volatile
51 Benin 1,200 t 2013 down 35.4% volatile
52 Norway 1,000 t 2013 up 105.4% volatile
53 Djibouti 700 t 2013 up 333.3% flat
53 Saint Vincent and the Grenadines 700 t 2013 — volatile
55 Oman 500 t 2013 — flat
56 Fiji 438.57 t 2013 — volatile
57 Slovenia 428.57 t 2013 up 37.1% volatile
58 C�te d'Ivoire 388.07 t 2013 up 129.9% volatile
59 Guatemala 355 t 2013 down 83.5% volatile
60 Belize 320 t 2013 up 135.6% volatile
61 Estonia 50 t 2013 up 109.0% volatile
62 Saint Kitts and Nevis 49.58 t 2013 — volatile
63 Ethiopia 36 t 2013 down 99.9% volatile
64 Barbados 15 t 2013 down 81.2% volatile
65 Lebanon 10 t 2013 — volatile
65 Rwanda 10 t 2013 — flat
67 Saint Lucia 2.67 t 2013 — volatile
68 Afghanistan 0 t 2013 up 100.0% volatile
68 Angola 0 t 2013 — flat
68 Armenia 0 t 2013 down 100.0% flat
68 Azerbaijan 0 t 2013 down 100.0% volatile
68 Bahamas 0 t 2013 down 100.0% flat
68 Botswana 0 t 2013 up 100.0% volatile
68 Central African Republic 0 t 2013 down 100.0% volatile
68 Switzerland 0 t 2013 down 100.0% flat
68 Cameroon 0 t 2013 down 100.0% volatile
68 Congo 0 t 2013 — volatile
68 Cyprus 0 t 2013 — volatile
68 Dominican Republic 0 t 2013 up 100.0% flat
68 Algeria 0 t 2013 up 100.0% volatile
68 Ecuador 0 t 2013 down 100.0% volatile
68 Finland 0 t 2013 — flat
68 Gabon 0 t 2013 — volatile
68 Guinea 0 t 2013 up 100.0% flat
68 Guinea-Bissau 0 t 2013 — volatile
68 Grenada 0 t 2013 — flat
68 Honduras 0 t 2013 down 100.0% volatile
68 Ireland 0 t 2013 down 100.0% volatile
68 Iraq 0 t 2013 — flat
68 Jamaica 0 t 2013 — volatile
68 Jordan 0 t 2013 — flat
68 Kenya 0 t 2013 down 100.0% volatile
68 Kuwait 0 t 2013 down 100.0% volatile
68 Madagascar 0 t 2013 — flat
68 North Macedonia 0 t 2013 up 100.0% volatile
68 Mali 0 t 2013 up 100.0% flat
68 Malta 0 t 2013 — volatile
68 Mongolia 0 t 2013 down 100.0% flat
68 Mozambique 0 t 2013 — flat
68 Mauritania 0 t 2013 up 100.0% flat
68 Mauritius 0 t 2013 up 100.0% flat
68 Malawi 0 t 2013 up 100.0% volatile
68 Namibia 0 t 2013 down 100.0% flat
68 Niger 0 t 2013 up 100.0% volatile
68 New Zealand 0 t 2013 — flat
68 Peru 0 t 2013 up 100.0% volatile
68 Philippines 0 t 2013 up 100.0% volatile
68 Saudi Arabia 0 t 2013 — flat
68 Sierra Leone 0 t 2013 — volatile
68 El Salvador 0 t 2013 down 100.0% volatile
68 Sao Tome and Principe 0 t 2013 down 100.0% volatile
68 Suriname 0 t 2013 — flat
68 Sweden 0 t 2013 down 100.0% volatile
68 Eswatini 0 t 2013 down 100.0% volatile
68 Tajikistan 0 t 2013 up 100.0% volatile
68 Samoa 0 t 2013 up 100.0% volatile
68 Yemen 0 t 2013 — flat
68 China, Hong Kong SAR 0 t 2013 down 100.0% volatile
68 Republic of Korea 0 t 2013 up 100.0% volatile
68 China, Macao SAR 0 t 2013 — flat
68 Netherlands Antilles (former) 0 t 2010 down 100.0% flat
122 Antigua and Barbuda -50 t 2013 — volatile
123 Trinidad and Tobago -200 t 2013 up 92.1% volatile
124 Brunei Darussalam -250 t 2013 down 150.0% volatile
125 New Caledonia -720 t 2013 down 93.9% volatile
126 Luxembourg -732.31 t 2013 down 163.6% volatile
127 Chad -2,000 t 2013 unchanged volatile
128 Austria -2,472 t 2013 down 104.8% volatile
129 Thailand -2,500 t 2013 down 1,328.6% volatile
130 Dominica -2,714 t 2013 — volatile
131 Guyana -2,800 t 2013 — volatile
132 Kyrgyzstan -4,500 t 2013 — volatile
133 Cambodia -5,000 t 2013 up 50.0% volatile
134 Japan -7,193 t 2013 up 89.0% volatile
135 Kiribati -8,951 t 2013 — volatile
136 Solomon Islands -9,094 t 2013 down 152.7% volatile
137 Colombia -9,880 t 2013 down 131.8% volatile
138 Albania -10,000 t 2013 down 65,819.6% volatile
138 Nigeria -10,000 t 2013 up 73.5% volatile
140 Latvia -11,209 t 2013 down 4.2% volatile
141 Bosnia and Herzegovina -11,500 t 2013 down 483.3% volatile
142 Nepal -19,920 t 2013 down 498.4% volatile
143 Morocco -29,167 t 2013 up 89.2% volatile
144 Portugal -31,662 t 2013 down 445.1% volatile
145 Serbia -43,000 t 2013 up 54.7% volatile
146 Belgium-Luxembourg -49,300 t 1999 down 264.9% volatile
147 South Africa -51,846 t 2013 down 135.1% volatile
148 Sri Lanka -67,184 t 2013 — volatile
149 Sudan (former) -75,050 t 2011 down 354.4% volatile
150 China, mainland -77,000 t 2013 up 48.7% volatile
151 Italy -77,385 t 2013 down 184.6% volatile
152 Zambia -82,347 t 2013 down 1,958.7% volatile
153 Burkina Faso -124,000 t 2013 down 4,233.3% volatile
154 Spain -130,071 t 2013 down 183.1% volatile
155 Kazakhstan -221,000 t 2013 down 246.9% volatile
156 Hungary -416,661 t 2013 down 423.8% volatile
157 Brazil -1.09 million t 2013 up 70.2% volatile
158 Russian Federation -1.25 million t 2013 down 1,689.3% volatile
159 Germany -2.09 million t 2013 down 288.7% volatile
160 India -2.79 million t 2013 down 2,729.9% volatile
161 Canada -3.05 million t 2013 down 686.2% volatile
162 Argentina -5.34 million t 2013 down 386.2% 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 — Stock Variation by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 27 September 2026, from https://agriculture.statizoid.com/stat/oilcrops-stock-variation/

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About this data

Indicator
Oilcrops — Stock Variation
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
205 places, 9,853 data points, 1961–2013
Last refreshed

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 caput 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.