Statizoid

Rape and Mustard Cake — Domestic supply quantity 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
124
Highest
7.66 million t
China, mainland
Lowest
-2,223 t
Bosnia and Herzegovina
Median
14,254 t
Years covered
53
1961–2013
Data points
7,195

What the numbers show

Rape and Mustard Cake — Domestic supply quantity is currently reported for 124 countries. The highest value is 7.66 million t in China, mainland; the lowest is -2,223 t in Bosnia and Herzegovina.

The median across all reporting countries is 14,254 t, and the mean is 239,877 t.

The gap between the highest and lowest reporting country is a factor of about 3,445.

Over the past decade 67 countries rose and 18 fell. The largest increase was in New Zealand (up 2,133,600.0%), and the largest decrease in Bosnia and Herzegovina (down 5,950.0%).

Rape and Mustard Cake — Domestic supply quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China, mainland 7.66 million t 2013 up 30.8% volatile
2 France 2.60 million t 2013 up 149.8% volatile
2 Iran (Islamic Republic of) 219,064 t 2013 up 478.0% volatile
3 India 2.57 million t 2013 up 53.9% rising
4 Germany 2.40 million t 2013 up 39.8% volatile
4 Democratic People's Republic of Korea 130,000 t 2013 up 396.4% volatile
5 Japan 1.41 million t 2013 up 15.6% volatile
5 Republic of Moldova 14,784 t 2013 — volatile
6 Netherlands (Kingdom of the) 1.25 million t 2013 up 242.3% volatile
6 Melanesia 323 t 2013 — volatile
7 United Kingdom of Great Britain and Northern Ireland 1.12 million t 2013 up 54.1% volatile
7 United Republic of Tanzania 4 t 2013 up 103.3% volatile
8 Mexico 913,572 t 2013 up 95.6% volatile
8 Polynesia 0 t 2013 down 100.0% volatile
8 Venezuela (Bolivarian Republic of) 0 t 2013 — volatile
9 Spain 864,913 t 2013 up 2,546.0% volatile
10 Poland 719,927 t 2013 up 128.5% rising
11 Canada 523,504 t 2013 down 5.5% volatile
12 Denmark 480,000 t 2013 up 96.5% volatile
13 Republic of Korea 455,443 t 2013 up 71.8% volatile
14 Australia and New Zealand 428,858 t 2013 up 115.9% volatile
15 Australia 407,523 t 2013 up 105.2% volatile
16 Thailand 377,179 t 2013 up 172.9% volatile
17 Czechia 375,568 t 2013 up 146.2% volatile
18 Pakistan 351,808 t 2013 down 14.3% volatile
19 Belgium 348,387 t 2013 up 225.6% rising
20 Belarus 333,370 t 2013 up 2,627.8% volatile
21 Finland 308,274 t 2013 up 61.6% volatile
22 Ireland 292,499 t 2013 up 159.2% volatile
23 USSR 235,620 t 1991 up 381.1% volatile
24 Sweden 232,454 t 2013 up 38.8% rising
25 Bangladesh 219,644 t 2013 down 8.4% rising
26 Austria 183,087 t 2013 up 167.5% volatile
27 T�rkiye 180,975 t 2013 up 4,566.7% volatile
27 Cabo Verde 165 t 2013 — volatile
28 United Arab Emirates 173,821 t 2013 up 22,651.4% volatile
29 Indonesia 152,346 t 2013 up 169.6% volatile
30 Italy 138,278 t 2013 up 152.7% volatile
31 Belgium-Luxembourg 135,028 t 1999 up 77.7% volatile
32 Norway 132,325 t 2013 up 114.2% volatile
33 Portugal 125,883 t 2013 up 21,381.7% volatile
34 Switzerland 96,195 t 2013 up 205.9% volatile
35 Nepal 95,582 t 2013 up 36.8% volatile
36 Czechoslovakia 87,300 t 1992 up 118.5% volatile
37 Chile 78,700 t 2013 up 774.4% volatile
38 Israel 66,803 t 2013 up 358.2% volatile
39 China, Taiwan Province of 63,717 t 2013 down 34.5% volatile
40 Latvia 63,696 t 2013 up 4,298.9% volatile
41 Saudi Arabia 63,149 t 2013 — volatile
42 Hungary 62,875 t 2013 up 239.1% volatile
43 Myanmar 62,629 t 2013 up 131.6% volatile
44 Brazil 54,583 t 2013 up 35.8% volatile
45 South Africa 54,160 t 2013 up 170.9% volatile
46 Morocco 53,973 t 2013 up 9,713.3% volatile
47 Ethiopia PDR 48,085 t 1992 up 1,813.5% volatile
48 Ukraine 29,997 t 2013 up 170.4% volatile
49 Lithuania 27,983 t 2013 up 13,484.0% volatile
50 Malaysia 27,778 t 2013 up 419.2% volatile
51 Algeria 23,278 t 2013 up 62.4% volatile
52 New Zealand 21,335 t 2013 up 2,133,600.0% volatile
53 Croatia 21,089 t 2013 up 1,645.8% volatile
54 Estonia 21,058 t 2013 up 679.1% volatile
55 Slovenia 20,565 t 2013 up 358.0% volatile
56 Paraguay 20,465 t 2013 up 484.7% volatile
57 Yugoslav SFR 19,556 t 1991 down 38.2% volatile
58 Slovakia 16,862 t 2013 up 32.8% volatile
59 Greece 15,923 t 2013 — volatile
60 Ethiopia 13,723 t 2013 up 11.9% volatile
61 Luxembourg 12,946 t 2013 up 60.5% rising
62 Uruguay 12,473 t 2013 up 415,667.0% volatile
63 Russian Federation 7,604 t 2013 down 58.7% volatile
64 Kazakhstan 5,174 t 2013 up 208.0% volatile
65 Serbia 3,649 t 2013 up 1,154.0% volatile
66 Philippines 3,498 t 2013 down 6.3% volatile
67 Oman 3,173 t 2013 up 202.2% volatile
68 Kuwait 2,569 t 2013 — volatile
69 Sri Lanka 2,144 t 2013 — volatile
70 Serbia and Montenegro 1,757 t 2005 down 1.6% volatile
71 Cyprus 1,650 t 2013 — volatile
72 Argentina 1,150 t 2013 up 758.2% volatile
73 Egypt 1,103 t 2013 — volatile
74 Uzbekistan 824 t 2013 down 17.8% rising
75 New Caledonia 325 t 2013 — volatile
76 Lebanon 316 t 2013 — volatile
77 Jordan 250 t 2013 — volatile
78 Romania 214 t 2013 down 75.2% volatile
79 Kenya 170 t 2013 up 1,600.0% volatile
80 Kyrgyzstan 150 t 2013 up 64.8% volatile
81 North Macedonia 110 t 2013 up 23.6% volatile
82 Azerbaijan 95 t 2013 — volatile
83 Colombia 77 t 2013 up 92.5% volatile
84 Eswatini 63 t 2013 up 600.0% volatile
85 Niger 28 t 2013 — volatile
86 Bulgaria 19 t 2013 down 97.5% volatile
86 Peru 19 t 2013 — volatile
88 Burkina Faso 9 t 2013 — volatile
88 Guinea 9 t 2013 — volatile
90 Senegal 4 t 2013 — volatile
91 Albania 0 t 2013 down 100.0% volatile
91 Armenia 0 t 2013 — volatile
91 Botswana 0 t 2013 down 100.0% volatile
91 Costa Rica 0 t 2013 — volatile
91 Ghana 0 t 2013 — volatile
91 Guatemala 0 t 2013 — volatile
91 Honduras 0 t 2013 — volatile
91 Mali 0 t 2013 — volatile
91 Malta 0 t 2013 — volatile
91 Mauritania 0 t 2013 — volatile
91 Nicaragua 0 t 2013 — volatile
91 French Polynesia 0 t 2013 down 100.0% volatile
91 Rwanda 0 t 2013 down 100.0% volatile
91 Tunisia 0 t 2013 — volatile
91 Uganda 0 t 2013 — volatile
91 Zambia 0 t 2013 — volatile
91 China, Hong Kong SAR 0 t 2013 — volatile
91 Brunei Darussalam 0 t 2013 down 100.0% volatile
91 C�te d'Ivoire 0 t 2013 — volatile
110 Fiji -2 t 2013 — volatile
111 Malawi -16 t 2013 — volatile
112 Benin -75 t 2013 — volatile
113 Mozambique -85 t 2013 — volatile
114 Iceland -246 t 2013 — volatile
115 Togo -610 t 2013 — volatile
116 Bosnia and Herzegovina -2,223 t 2013 down 5,950.0% 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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Rape and Mustard Cake — Domestic supply quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/rape-and-mustard-cake-domestic-supply-quantity/

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About this data

Indicator
Rape and Mustard Cake — Domestic supply quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
153 places, 7,195 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.