Oats — 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
160
Highest
110 1000 t
Finland
Lowest
-1,318 1000 t
Canada
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,385

What the numbers show

Oats — Stock Variation is currently reported for 160 countries. The highest value is 110 1000 t in Finland; the lowest is -1,318 1000 t in Canada.

The median across all reporting countries is 0 1000 t, and the mean is -13.46 1000 t.

Over the past decade 15 countries rose and 26 fell. The largest increase was in Türkiye (up 733.3%), and the largest decrease in Sweden (down 1,900.0%).

Oats — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Finland 110 1000 t 2023 down 31.2% volatile
2 Türkiye 57 1000 t 2023 up 733.3% volatile
3 Latvia 28 1000 t 2023 volatile
4 Peru 23 1000 t 2023 up 360.0% volatile
5 Romania 13 1000 t 2023 down 58.1% volatile
6 Poland 7 1000 t 2023 up 108.1% volatile
7 Brazil 6 1000 t 2023 up 137.5% volatile
7 Switzerland 6 1000 t 2023 up 300.0% volatile
9 Bulgaria 4 1000 t 2023 volatile
9 Italy 4 1000 t 2023 up 233.3% volatile
11 Chile 3 1000 t 2023 down 90.9% volatile
11 Algeria 3 1000 t 2023 up 250.0% volatile
11 Ukraine 3 1000 t 2023 up 121.4% volatile
14 Portugal 2 1000 t 2023 down 50.0% volatile
15 China 1 1000 t 2023 down 66.7% volatile
15 Ethiopia 1 1000 t 2023 unchanged volatile
15 China, mainland 1 1000 t 2023 down 66.7% volatile
18 Angola 0 1000 t 2023 flat
18 Albania 0 1000 t 2023 down 100.0% volatile
18 United Arab Emirates 0 1000 t 2023 volatile
18 Armenia 0 1000 t 2023 up 100.0% volatile
18 Antigua and Barbuda 0 1000 t 2023 flat
18 Azerbaijan 0 1000 t 2023 volatile
18 Belgium 0 1000 t 2023 up 100.0% volatile
18 Bangladesh 0 1000 t 2023 flat
18 Bahrain 0 1000 t 2023 flat
18 Bahamas 0 1000 t 2023 flat
18 Belarus 0 1000 t 2023 up 100.0% volatile
18 Belize 0 1000 t 2023 volatile
18 Barbados 0 1000 t 2023 flat
18 Botswana 0 1000 t 2023 flat
18 Cameroon 0 1000 t 2023 flat
18 Congo 0 1000 t 2018 flat
18 Colombia 0 1000 t 2023 flat
18 Costa Rica 0 1000 t 2023 flat
18 Cuba 0 1000 t 2019 flat
18 Cyprus 0 1000 t 2023 flat
18 Djibouti 0 1000 t 2023 flat
18 Dominican Republic 0 1000 t 2023 down 100.0% volatile
18 Ecuador 0 1000 t 2023 volatile
18 Egypt 0 1000 t 2023 flat
18 Fiji 0 1000 t 2023 flat
18 France 0 1000 t 2023 flat
18 Georgia 0 1000 t 2023 flat
18 Ghana 0 1000 t 2023 flat
18 Greece 0 1000 t 2023 up 100.0% volatile
18 Grenada 0 1000 t 2023 flat
18 Guatemala 0 1000 t 2023 flat
18 Guyana 0 1000 t 2023 flat
18 Honduras 0 1000 t 2023 flat
18 Croatia 0 1000 t 2023 up 100.0% volatile
18 Hungary 0 1000 t 2023 down 100.0% volatile
18 Indonesia 0 1000 t 2023 flat
18 India 0 1000 t 2023 flat
18 Iraq 0 1000 t 2023 flat
18 Iceland 0 1000 t 2023 flat
18 Israel 0 1000 t 2023 volatile
18 Jamaica 0 1000 t 2023 flat
18 Jordan 0 1000 t 2023 flat
18 Kazakhstan 0 1000 t 2023 down 100.0% volatile
18 Kenya 0 1000 t 2023 flat
18 Kyrgyzstan 0 1000 t 2023 flat
18 Cambodia 0 1000 t 2023 flat
18 Kiribati 0 1000 t 2021 flat
18 Saint Kitts and Nevis 0 1000 t 2023 flat
18 Kuwait 0 1000 t 2023 flat
18 Lebanon 0 1000 t 2023 flat
18 Libya 0 1000 t 2023 flat
18 Saint Lucia 0 1000 t 2023 flat
18 Sri Lanka 0 1000 t 2023 flat
18 Lesotho 0 1000 t 2023 flat
18 Luxembourg 0 1000 t 2023 volatile
18 Madagascar 0 1000 t 2023 flat
18 Maldives 0 1000 t 2023 flat
18 Marshall Islands 0 1000 t 2023 flat
18 North Macedonia 0 1000 t 2023 flat
18 Malta 0 1000 t 2023 flat
18 Myanmar 0 1000 t 2021 flat
18 Montenegro 0 1000 t 2023 flat
18 Mongolia 0 1000 t 2023 down 100.0% volatile
18 Mozambique 0 1000 t 2023 flat
18 Mauritania 0 1000 t 2023 flat
18 Mauritius 0 1000 t 2023 flat
18 Malawi 0 1000 t 2023 flat
18 Namibia 0 1000 t 2023 volatile
18 New Caledonia 0 1000 t 2023 flat
18 Nigeria 0 1000 t 2023 flat
18 Nicaragua 0 1000 t 2023 flat
18 Nepal 0 1000 t 2023 flat
18 New Zealand 0 1000 t 2023 volatile
18 Oman 0 1000 t 2023 flat
18 Pakistan 0 1000 t 2023 flat
18 Panama 0 1000 t 2023 flat
18 Philippines 0 1000 t 2023 flat
18 Papua New Guinea 0 1000 t 2023 flat
18 Paraguay 0 1000 t 2023 flat
18 French Polynesia 0 1000 t 2023 flat
18 Qatar 0 1000 t 2023 flat
18 Rwanda 0 1000 t 2023 flat
18 Saudi Arabia 0 1000 t 2023 flat
18 Senegal 0 1000 t 2023 flat
18 Solomon Islands 0 1000 t 2020 flat
18 El Salvador 0 1000 t 2021 flat
18 Serbia 0 1000 t 2023 flat
18 Slovenia 0 1000 t 2023 flat
18 Eswatini 0 1000 t 2023 flat
18 Seychelles 0 1000 t 2023 flat
18 Thailand 0 1000 t 2023 flat
18 Tajikistan 0 1000 t 2023 flat
18 Turkmenistan 0 1000 t 2023 flat
18 Tonga 0 1000 t 2023 flat
18 Trinidad and Tobago 0 1000 t 2023 flat
18 Tunisia 0 1000 t 2023 flat
18 Uganda 0 1000 t 2023 flat
18 Uruguay 0 1000 t 2023 flat
18 Uzbekistan 0 1000 t 2023 flat
18 Samoa 0 1000 t 2021 flat
18 Yemen 0 1000 t 2023 flat
18 Zambia 0 1000 t 2023 flat
18 Zimbabwe 0 1000 t 2023 flat
18 Micronesia 0 1000 t 2023 flat
18 Cabo Verde 0 1000 t 2023 flat
18 Melanesia 0 1000 t 2023 flat
18 Polynesia 0 1000 t 2023 flat
18 Democratic Republic of the Congo 0 1000 t 2023 flat
18 Caribbean 0 1000 t 2023 volatile
18 Bolivia (Plurinational State of) 0 1000 t 2023 volatile
18 China, Hong Kong SAR 0 1000 t 2023 flat
18 Iran (Islamic Republic of) 0 1000 t 2023 flat
18 Republic of Korea 0 1000 t 2023 flat
18 Republic of Moldova 0 1000 t 2023 volatile
18 Syrian Arab Republic 0 1000 t 2023 flat
18 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
18 Côte d'Ivoire 0 1000 t 2023 flat
18 United Republic of Tanzania 0 1000 t 2023 flat
18 China, Taiwan Province of 0 1000 t 2023 flat
18 Netherlands (Kingdom of the) 0 1000 t 2023 up 100.0% volatile
18 Democratic People's Republic of Korea 0 1000 t 2018 volatile
18 China, Macao SAR 0 1000 t 2023 flat
140 Bosnia and Herzegovina -1 1000 t 2023 down 200.0% flat
140 Malaysia -1 1000 t 2023 up 75.0% volatile
142 Mexico -2 1000 t 2023 down 166.7% volatile
143 Czechia -3 1000 t 2023 volatile
143 Denmark -3 1000 t 2023 down 115.8% volatile
145 Morocco -5 1000 t 2023 flat
146 Estonia -7 1000 t 2023 down 333.3% volatile
146 Slovakia -7 1000 t 2023 down 800.0% volatile
148 Austria -10 1000 t 2023 volatile
149 Lithuania -13 1000 t 2023 down 550.0% volatile
150 Sweden -18 1000 t 2023 down 1,900.0% volatile
151 Argentina -21 1000 t 2023 down 333.3% volatile
152 Russian Federation -24 1000 t 2023 volatile
153 Norway -26 1000 t 2023 down 244.4% volatile
154 Ireland -28 1000 t 2023 down 1,033.3% volatile
155 Spain -52 1000 t 2023 volatile
156 Germany -103 1000 t 2023 down 128.9% volatile
157 United Kingdom of Great Britain and Northern Ireland -126 1000 t 2023 down 171.6% volatile
158 Australia -329 1000 t 2023 down 344.6% volatile
158 Australia and New Zealand -329 1000 t 2023 down 344.6% volatile
160 Canada -1,318 1000 t 2023 down 1,669.0% 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
Oats — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
191 places, 2,385 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.