Statizoid

Pimento — 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
174
Highest
312 1000 t
India
Lowest
-14 1000 t
Thailand
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,706

What the numbers show

Pimento — Stock Variation is currently reported for 174 countries. The highest value is 312 1000 t in India; the lowest is -14 1000 t in Thailand.

The median across all reporting countries is 0 1000 t, and the mean is 2.43 1000 t.

The gap between the highest and lowest reporting country is a factor of about 22.

Over the past decade 15 countries rose and 9 fell. The largest increase was in Bangladesh (up 763.6%), and the largest decrease in China, mainland (down 109.1%).

Pimento — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 India 312 1000 t 2023 up 96.2% volatile
2 Bangladesh 73 1000 t 2023 up 763.6% volatile
3 Ethiopia 33 1000 t 2023 up 106.2% volatile
4 Nepal 10 1000 t 2023 — volatile
5 Ghana 6 1000 t 2023 up 700.0% volatile
5 Pakistan 6 1000 t 2023 down 40.0% volatile
7 Cameroon 3 1000 t 2023 unchanged volatile
8 Kazakhstan 2 1000 t 2023 up 300.0% volatile
8 United Kingdom of Great Britain and Northern Ireland 2 1000 t 2023 up 300.0% volatile
10 Brazil 1 1000 t 2023 — volatile
10 Canada 1 1000 t 2023 — volatile
10 Germany 1 1000 t 2023 — rising
10 Russian Federation 1 1000 t 2023 — volatile
10 Côte d'Ivoire 1 1000 t 2023 — volatile
10 China, Taiwan Province of 1 1000 t 2023 — volatile
16 Angola 0 1000 t 2023 — flat
16 Albania 0 1000 t 2023 — flat
16 Argentina 0 1000 t 2023 — flat
16 Armenia 0 1000 t 2023 — flat
16 Antigua and Barbuda 0 1000 t 2023 — flat
16 Australia 0 1000 t 2023 — flat
16 Austria 0 1000 t 2023 — flat
16 Azerbaijan 0 1000 t 2023 — flat
16 Belgium 0 1000 t 2023 — flat
16 Burkina Faso 0 1000 t 2023 — flat
16 Bulgaria 0 1000 t 2023 — volatile
16 Bahrain 0 1000 t 2023 — flat
16 Bahamas 0 1000 t 2023 — flat
16 Bosnia and Herzegovina 0 1000 t 2023 — volatile
16 Belarus 0 1000 t 2023 — flat
16 Belize 0 1000 t 2023 — flat
16 Barbados 0 1000 t 2023 — flat
16 Bhutan 0 1000 t 2023 — flat
16 Botswana 0 1000 t 2023 — flat
16 Switzerland 0 1000 t 2023 — flat
16 Chile 0 1000 t 2023 — flat
16 Congo 0 1000 t 2023 — flat
16 Colombia 0 1000 t 2023 — flat
16 Comoros 0 1000 t 2023 — flat
16 Costa Rica 0 1000 t 2023 — flat
16 Cuba 0 1000 t 2019 — flat
16 Cyprus 0 1000 t 2023 — flat
16 Czechia 0 1000 t 2023 — flat
16 Djibouti 0 1000 t 2023 — flat
16 Denmark 0 1000 t 2023 — flat
16 Dominican Republic 0 1000 t 2023 — flat
16 Algeria 0 1000 t 2023 — volatile
16 Ecuador 0 1000 t 2023 — flat
16 Egypt 0 1000 t 2023 up 100.0% volatile
16 Spain 0 1000 t 2023 — volatile
16 Estonia 0 1000 t 2023 — flat
16 Finland 0 1000 t 2023 — flat
16 Fiji 0 1000 t 2023 — flat
16 France 0 1000 t 2023 — flat
16 Gabon 0 1000 t 2023 — flat
16 Georgia 0 1000 t 2023 — flat
16 Guinea 0 1000 t 2023 — flat
16 Gambia 0 1000 t 2023 — flat
16 Guinea-Bissau 0 1000 t 2023 — flat
16 Greece 0 1000 t 2023 — flat
16 Grenada 0 1000 t 2023 — flat
16 Guatemala 0 1000 t 2023 — volatile
16 Guyana 0 1000 t 2023 — flat
16 Honduras 0 1000 t 2023 — flat
16 Croatia 0 1000 t 2023 — flat
16 Haiti 0 1000 t 2023 — flat
16 Hungary 0 1000 t 2023 — volatile
16 Indonesia 0 1000 t 2023 — volatile
16 Ireland 0 1000 t 2023 — flat
16 Iraq 0 1000 t 2023 — flat
16 Iceland 0 1000 t 2023 — flat
16 Israel 0 1000 t 2023 — flat
16 Italy 0 1000 t 2023 — volatile
16 Jamaica 0 1000 t 2023 — volatile
16 Jordan 0 1000 t 2023 — flat
16 Kenya 0 1000 t 2023 — volatile
16 Kyrgyzstan 0 1000 t 2023 — volatile
16 Cambodia 0 1000 t 2023 — volatile
16 Saint Kitts and Nevis 0 1000 t 2023 — flat
16 Kuwait 0 1000 t 2023 — flat
16 Lebanon 0 1000 t 2023 — flat
16 Libya 0 1000 t 2023 down 100.0% volatile
16 Saint Lucia 0 1000 t 2023 — flat
16 Sri Lanka 0 1000 t 2023 down 100.0% volatile
16 Lithuania 0 1000 t 2023 — flat
16 Luxembourg 0 1000 t 2023 — flat
16 Latvia 0 1000 t 2023 — flat
16 Morocco 0 1000 t 2023 up 100.0% volatile
16 Madagascar 0 1000 t 2023 — flat
16 Maldives 0 1000 t 2023 — flat
16 Mexico 0 1000 t 2023 up 100.0% volatile
16 Marshall Islands 0 1000 t 2023 — flat
16 North Macedonia 0 1000 t 2023 up 100.0% volatile
16 Malta 0 1000 t 2023 — flat
16 Myanmar 0 1000 t 2023 — volatile
16 Montenegro 0 1000 t 2023 — flat
16 Mongolia 0 1000 t 2023 — flat
16 Mozambique 0 1000 t 2023 — flat
16 Mauritania 0 1000 t 2023 — flat
16 Mauritius 0 1000 t 2023 — flat
16 Malawi 0 1000 t 2023 — volatile
16 Malaysia 0 1000 t 2023 — flat
16 Namibia 0 1000 t 2023 — flat
16 New Caledonia 0 1000 t 2023 — flat
16 Niger 0 1000 t 2023 up 100.0% flat
16 Nigeria 0 1000 t 2023 up 100.0% volatile
16 Nicaragua 0 1000 t 2023 — flat
16 Norway 0 1000 t 2023 — flat
16 New Zealand 0 1000 t 2023 — flat
16 Oman 0 1000 t 2023 — volatile
16 Panama 0 1000 t 2023 — flat
16 Peru 0 1000 t 2023 — volatile
16 Philippines 0 1000 t 2023 — flat
16 Papua New Guinea 0 1000 t 2023 — flat
16 Poland 0 1000 t 2023 — volatile
16 Portugal 0 1000 t 2023 — flat
16 Paraguay 0 1000 t 2023 — flat
16 French Polynesia 0 1000 t 2023 — flat
16 Qatar 0 1000 t 2023 — flat
16 Romania 0 1000 t 2023 — volatile
16 Rwanda 0 1000 t 2023 — flat
16 Saudi Arabia 0 1000 t 2023 — volatile
16 Senegal 0 1000 t 2023 down 100.0% flat
16 Sierra Leone 0 1000 t 2023 up 100.0% volatile
16 El Salvador 0 1000 t 2023 — flat
16 Serbia 0 1000 t 2023 — flat
16 Suriname 0 1000 t 2023 — flat
16 Slovakia 0 1000 t 2023 — flat
16 Slovenia 0 1000 t 2023 — flat
16 Sweden 0 1000 t 2023 — flat
16 Eswatini 0 1000 t 2023 — flat
16 Seychelles 0 1000 t 2023 — flat
16 Tajikistan 0 1000 t 2023 — flat
16 Turkmenistan 0 1000 t 2023 — flat
16 Tonga 0 1000 t 2023 — flat
16 Trinidad and Tobago 0 1000 t 2023 — flat
16 Tuvalu 0 1000 t 2023 — flat
16 Uganda 0 1000 t 2023 — flat
16 Ukraine 0 1000 t 2023 — flat
16 Uruguay 0 1000 t 2023 — flat
16 Saint Vincent and the Grenadines 0 1000 t 2023 — flat
16 Vanuatu 0 1000 t 2023 — flat
16 Samoa 0 1000 t 2023 — flat
16 Yemen 0 1000 t 2023 — flat
16 Zambia 0 1000 t 2023 — flat
16 Zimbabwe 0 1000 t 2023 — flat
16 Micronesia 0 1000 t 2023 — flat
16 Timor-Leste 0 1000 t 2023 — flat
16 Cabo Verde 0 1000 t 2023 — flat
16 Melanesia 0 1000 t 2023 — flat
16 Polynesia 0 1000 t 2023 — flat
16 Democratic Republic of the Congo 0 1000 t 2023 down 100.0% flat
16 Caribbean 0 1000 t 2023 — volatile
16 Bolivia (Plurinational State of) 0 1000 t 2023 — flat
16 China, Hong Kong SAR 0 1000 t 2023 — volatile
16 Iran (Islamic Republic of) 0 1000 t 2023 down 100.0% volatile
16 Republic of Korea 0 1000 t 2023 — flat
16 Republic of Moldova 0 1000 t 2023 — flat
16 Syrian Arab Republic 0 1000 t 2023 — flat
16 Venezuela (Bolivarian Republic of) 0 1000 t 2023 — flat
16 Viet Nam 0 1000 t 2023 up 100.0% volatile
16 Türkiye 0 1000 t 2023 down 100.0% flat
16 Australia and New Zealand 0 1000 t 2023 — flat
16 Lao People's Democratic Republic 0 1000 t 2023 — volatile
16 United Republic of Tanzania 0 1000 t 2023 — flat
16 Netherlands (Kingdom of the) 0 1000 t 2023 — flat
16 Micronesia (Federated States of) 0 1000 t 2023 — flat
16 China, Macao SAR 0 1000 t 2023 — flat
169 Tunisia -1 1000 t 2023 — volatile
170 United Arab Emirates -2 1000 t 2023 up 60.0% volatile
170 China -2 1000 t 2023 down 106.1% volatile
172 China, mainland -3 1000 t 2023 down 109.1% volatile
173 Uzbekistan -8 1000 t 2023 — volatile
174 Thailand -14 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
Pimento — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
205 places, 2,706 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.