Rape and Mustardseed — Stock Variation 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
156
Highest
1,625 1000 t
Australia
Lowest
-833 1000 t
Russian Federation
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,427

What the numbers show

Rape and Mustardseed — Stock Variation is currently reported for 156 countries. The highest value is 1,625 1000 t in Australia; the lowest is -833 1000 t in Russian Federation.

The median across all reporting countries is 0 1000 t, and the mean is 16.53 1000 t.

The gap between the highest and lowest reporting country is a factor of about 2.

Over the past decade 26 countries rose and 18 fell. The largest increase was in India (up 2,044.4%), and the largest decrease in China (down 1,136.8%).

Rape and Mustardseed — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Australia 1,625 1000 t 2023 up 394.9% volatile
1 Australia and New Zealand 1,625 1000 t 2023 up 394.4% volatile
3 India 700 1000 t 2023 up 2,044.4% volatile
4 Germany 478 1000 t 2023 down 74.1% volatile
5 Canada 257 1000 t 2023 down 93.7% volatile
6 Czechia 187 1000 t 2023 volatile
7 Bangladesh 100 1000 t 2023 up 143.9% volatile
8 Ukraine 82 1000 t 2023 up 151.2% volatile
9 Pakistan 44 1000 t 2023 up 188.0% volatile
10 Austria 21 1000 t 2023 volatile
11 Hungary 15 1000 t 2023 down 87.5% volatile
12 Mexico 7 1000 t 2023 up 105.1% volatile
13 Lithuania 6 1000 t 2023 up 112.0% volatile
14 Brazil 3 1000 t 2023 up 200.0% volatile
14 Italy 3 1000 t 2023 up 175.0% volatile
16 Luxembourg 1 1000 t 2023 volatile
17 Albania 0 1000 t 2023 flat
17 Argentina 0 1000 t 2023 up 100.0% volatile
17 Armenia 0 1000 t 2023 flat
17 Antigua and Barbuda 0 1000 t 2023 flat
17 Azerbaijan 0 1000 t 2023 flat
17 Belgium 0 1000 t 2023 up 100.0% flat
17 Burkina Faso 0 1000 t 2020 flat
17 Bahrain 0 1000 t 2023 flat
17 Bahamas 0 1000 t 2023 flat
17 Bosnia and Herzegovina 0 1000 t 2023 down 100.0% flat
17 Belarus 0 1000 t 2023 up 100.0% volatile
17 Belize 0 1000 t 2023 flat
17 Barbados 0 1000 t 2023 flat
17 Bhutan 0 1000 t 2023 flat
17 Botswana 0 1000 t 2023 flat
17 Cameroon 0 1000 t 2023 flat
17 Colombia 0 1000 t 2023 flat
17 Costa Rica 0 1000 t 2023 flat
17 Cuba 0 1000 t 2019 flat
17 Cyprus 0 1000 t 2023 flat
17 Algeria 0 1000 t 2023 volatile
17 Ecuador 0 1000 t 2023 flat
17 Egypt 0 1000 t 2023 flat
17 Fiji 0 1000 t 2023 flat
17 France 0 1000 t 2023 up 100.0% volatile
17 Gabon 0 1000 t 2023 flat
17 Georgia 0 1000 t 2023 flat
17 Ghana 0 1000 t 2023 flat
17 Gambia 0 1000 t 2023 flat
17 Grenada 0 1000 t 2023 flat
17 Guatemala 0 1000 t 2023 flat
17 Guyana 0 1000 t 2023 flat
17 Honduras 0 1000 t 2023 flat
17 Indonesia 0 1000 t 2023 flat
17 Iceland 0 1000 t 2023 flat
17 Israel 0 1000 t 2023 down 100.0% volatile
17 Jamaica 0 1000 t 2023 flat
17 Jordan 0 1000 t 2023 flat
17 Kenya 0 1000 t 2023 flat
17 Kyrgyzstan 0 1000 t 2023 flat
17 Cambodia 0 1000 t 2023 flat
17 Kuwait 0 1000 t 2023 flat
17 Lebanon 0 1000 t 2023 flat
17 Libya 0 1000 t 2023 flat
17 Saint Lucia 0 1000 t 2021 flat
17 Sri Lanka 0 1000 t 2023 flat
17 Morocco 0 1000 t 2023 volatile
17 Madagascar 0 1000 t 2023 flat
17 Maldives 0 1000 t 2023 flat
17 Marshall Islands 0 1000 t 2023 flat
17 North Macedonia 0 1000 t 2023 volatile
17 Malta 0 1000 t 2023 flat
17 Myanmar 0 1000 t 2023 volatile
17 Montenegro 0 1000 t 2019 flat
17 Mozambique 0 1000 t 2023 flat
17 Mauritania 0 1000 t 2018 flat
17 Mauritius 0 1000 t 2023 flat
17 Malawi 0 1000 t 2023 flat
17 Namibia 0 1000 t 2023 flat
17 New Caledonia 0 1000 t 2023 flat
17 Niger 0 1000 t 2019 flat
17 Nigeria 0 1000 t 2023 flat
17 Nicaragua 0 1000 t 2021 flat
17 Norway 0 1000 t 2023 flat
17 Nauru 0 1000 t 2023 flat
17 New Zealand 0 1000 t 2023 flat
17 Oman 0 1000 t 2023 flat
17 Panama 0 1000 t 2023 flat
17 Peru 0 1000 t 2023 flat
17 Philippines 0 1000 t 2023 flat
17 Paraguay 0 1000 t 2023 down 100.0% volatile
17 French Polynesia 0 1000 t 2023 flat
17 Qatar 0 1000 t 2023 flat
17 Saudi Arabia 0 1000 t 2023 flat
17 Senegal 0 1000 t 2023 down 100.0% volatile
17 Solomon Islands 0 1000 t 2023 flat
17 El Salvador 0 1000 t 2023 flat
17 Serbia 0 1000 t 2023 up 100.0% volatile
17 Suriname 0 1000 t 2023 flat
17 Slovenia 0 1000 t 2023 volatile
17 Eswatini 0 1000 t 2023 flat
17 Seychelles 0 1000 t 2023 flat
17 Thailand 0 1000 t 2023 up 100.0% flat
17 Tajikistan 0 1000 t 2023 flat
17 Tonga 0 1000 t 2023 flat
17 Trinidad and Tobago 0 1000 t 2023 flat
17 Tunisia 0 1000 t 2023 flat
17 Uganda 0 1000 t 2023 flat
17 Uruguay 0 1000 t 2023 up 100.0% volatile
17 Uzbekistan 0 1000 t 2023 flat
17 Samoa 0 1000 t 2023 flat
17 Yemen 0 1000 t 2023 flat
17 Zambia 0 1000 t 2023 flat
17 Zimbabwe 0 1000 t 2023 flat
17 Micronesia 0 1000 t 2023 flat
17 Cabo Verde 0 1000 t 2021 flat
17 Melanesia 0 1000 t 2023 flat
17 Polynesia 0 1000 t 2023 flat
17 Democratic Republic of the Congo 0 1000 t 2023 flat
17 Caribbean 0 1000 t 2023 flat
17 Bolivia (Plurinational State of) 0 1000 t 2023 volatile
17 China, Hong Kong SAR 0 1000 t 2023 flat
17 Iran (Islamic Republic of) 0 1000 t 2023 flat
17 Republic of Korea 0 1000 t 2023 down 100.0% volatile
17 Syrian Arab Republic 0 1000 t 2023 flat
17 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
17 Viet Nam 0 1000 t 2023 up 100.0% volatile
17 Côte d'Ivoire 0 1000 t 2023 flat
17 United Republic of Tanzania 0 1000 t 2023 flat
17 China, Taiwan Province of 0 1000 t 2023 flat
17 China, Macao SAR 0 1000 t 2023 flat
128 Croatia -1 1000 t 2023 down 116.7% volatile
128 Ireland -1 1000 t 2023 volatile
128 Türkiye -1 1000 t 2023 up 98.7% volatile
131 Switzerland -2 1000 t 2023 volatile
131 Chile -2 1000 t 2023 up 75.0% volatile
131 Ethiopia -2 1000 t 2023 volatile
131 Malaysia -2 1000 t 2023 down 300.0% volatile
135 Estonia -4 1000 t 2023 volatile
135 Portugal -4 1000 t 2023 volatile
137 United Kingdom of Great Britain and Northern Ireland -5 1000 t 2023 volatile
138 Latvia -6 1000 t 2023 down 154.5% volatile
139 Finland -8 1000 t 2023 up 42.9% volatile
140 United Arab Emirates -15 1000 t 2023 up 82.6% volatile
140 Mongolia -15 1000 t 2023 volatile
142 Republic of Moldova -16 1000 t 2023 down 128.6% volatile
143 Nepal -22 1000 t 2023 volatile
144 Slovakia -27 1000 t 2023 up 81.5% volatile
145 Spain -32 1000 t 2023 down 228.0% volatile
146 Greece -38 1000 t 2023 down 850.0% volatile
147 Bulgaria -40 1000 t 2023 up 40.3% volatile
148 Netherlands (Kingdom of the) -51 1000 t 2023 up 82.7% volatile
149 Sweden -52 1000 t 2023 volatile
150 Denmark -60 1000 t 2023 volatile
151 Kazakhstan -111 1000 t 2023 down 458.1% volatile
152 Romania -125 1000 t 2023 up 3.1% volatile
153 China -197 1000 t 2023 down 1,136.8% volatile
153 China, mainland -197 1000 t 2023 down 1,136.8% volatile
155 Poland -707 1000 t 2023 down 104.3% volatile
156 Russian Federation -833 1000 t 2023 volatile

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
Rape and Mustardseed — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
187 places, 2,427 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.