Roots, Other — 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
76
Highest
268 1000 t
Nigeria
Lowest
-5 1000 t
Peru
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,731

What the numbers show

Roots, Other — Stock Variation is currently reported for 76 countries. The highest value is 268 1000 t in Nigeria; the lowest is -5 1000 t in Peru.

The median across all reporting countries is 0 1000 t, and the mean is 10.72 1000 t.

The gap between the highest and lowest reporting country is a factor of about 54.

Over the past decade 26 countries rose and 22 fell. The largest increase was in Caribbean (up 1,300.0%), and the largest decrease in Peru (down 183.3%).

Roots, Other — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Nigeria 268 1000 t 2023 up 243.3% volatile
2 Cameroon 228 1000 t 2023 up 48.1% volatile
3 China 125 1000 t 2023 up 286.6% volatile
3 China, mainland 125 1000 t 2023 up 298.4% volatile
5 Ghana 32 1000 t 2023 up 168.1% volatile
6 Caribbean 14 1000 t 2023 up 1,300.0% volatile
7 Pakistan 13 1000 t 2023 — volatile
8 Dominican Republic 12 1000 t 2023 — volatile
9 Thailand 5 1000 t 2023 up 200.0% flat
10 Colombia 2 1000 t 2023 — volatile
10 East Timor 2 1000 t 2023 — volatile
10 Saint Vincent and the Grenadines 2 1000 t 2023 — volatile
10 Timor-Leste 2 1000 t 2023 — volatile
14 United Arab Emirates 0 1000 t 2023 down 100.0% flat
14 Bhutan 0 1000 t 2023 — volatile
14 Botswana 0 1000 t 2023 — volatile
14 Canada 0 1000 t 2023 — flat
14 Cote d'Ivoire 0 1000 t 2023 up 100.0% volatile
14 Congo 0 1000 t 2023 up 100.0% volatile
14 Comoros 0 1000 t 2023 — volatile
14 Costa Rica 0 1000 t 2023 down 100.0% volatile
14 Ecuador 0 1000 t 2023 — volatile
14 Egypt 0 1000 t 2023 down 100.0% volatile
14 Ethiopia 0 1000 t 2023 — volatile
14 Fiji 0 1000 t 2023 down 100.0% volatile
14 France 0 1000 t 2023 up 100.0% volatile
14 Gabon 0 1000 t 2023 — volatile
14 Guinea 0 1000 t 2023 up 100.0% volatile
14 Guinea-Bissau 0 1000 t 2023 down 100.0% volatile
14 Grenada 0 1000 t 2023 down 100.0% volatile
14 Guyana 0 1000 t 2023 down 100.0% volatile
14 Honduras 0 1000 t 2023 up 100.0% flat
14 Haiti 0 1000 t 2023 up 100.0% volatile
14 Indonesia 0 1000 t 2023 up 100.0% volatile
14 Jamaica 0 1000 t 2023 down 100.0% flat
14 Kenya 0 1000 t 2023 — volatile
14 Kuwait 0 1000 t 2023 — volatile
14 Laos 0 1000 t 2023 up 100.0% volatile
14 Liberia 0 1000 t 2023 — volatile
14 Madagascar 0 1000 t 2023 down 100.0% volatile
14 Mexico 0 1000 t 2023 up 100.0% volatile
14 Namibia 0 1000 t 2023 down 100.0% volatile
14 Niger 0 1000 t 2023 down 100.0% flat
14 Nepal 0 1000 t 2023 up 100.0% volatile
14 New Zealand 0 1000 t 2023 down 100.0% volatile
14 Oman 0 1000 t 2023 — flat
14 Panama 0 1000 t 2023 down 100.0% flat
14 Philippines 0 1000 t 2023 down 100.0% volatile
14 Papua New Guinea 0 1000 t 2023 up 100.0% volatile
14 French Polynesia 0 1000 t 2023 down 100.0% volatile
14 Rwanda 0 1000 t 2023 down 100.0% volatile
14 Saudi Arabia 0 1000 t 2023 — volatile
14 El Salvador 0 1000 t 2023 down 100.0% volatile
14 Serbia 0 1000 t 2023 — volatile
14 Sao Tome and Principe 0 1000 t 2023 — flat
14 Suriname 0 1000 t 2023 — volatile
14 Slovenia 0 1000 t 2023 up 100.0% volatile
14 Trinidad and Tobago 0 1000 t 2023 — flat
14 United States 0 1000 t 2023 down 100.0% volatile
14 Vanuatu 0 1000 t 2023 up 100.0% volatile
14 Samoa 0 1000 t 2023 — volatile
14 Polynesia 0 1000 t 2023 down 100.0% volatile
14 Democratic Republic of the Congo 0 1000 t 2023 up 100.0% volatile
14 China, Hong Kong SAR 0 1000 t 2023 up 100.0% volatile
14 Côte d'Ivoire 0 1000 t 2023 up 100.0% volatile
14 Lao People's Democratic Republic 0 1000 t 2023 up 100.0% volatile
14 United Republic of Tanzania 0 1000 t 2023 — volatile
14 China, Taiwan Province of 0 1000 t 2023 up 100.0% volatile
14 Netherlands (Kingdom of the) 0 1000 t 2023 — volatile
14 China, Macao SAR 0 1000 t 2023 — volatile
174 Cambodia -1 1000 t 2023 unchanged volatile
174 Eswatini -1 1000 t 2023 — volatile
176 Solomon Islands -2 1000 t 2023 up 33.3% volatile
176 Melanesia -2 1000 t 2023 down 166.7% volatile
178 Nicaragua -4 1000 t 2023 down 125.0% volatile
179 Peru -5 1000 t 2023 down 183.3% 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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Roots, Other — Stock Variation by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/roots-other-stock-variation/

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About this data

Indicator
Roots, Other — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
209 places, 2,731 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.