Spices, Other — Residuals 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
182
Highest
0 1000 t
Angola
Lowest
-32 1000 t
Brazil
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,897

What the numbers show

Spices, Other — Residuals is currently reported for 182 countries. The highest value is 0 1000 t in Angola; the lowest is -32 1000 t in Brazil.

The median across all reporting countries is 0 1000 t, and the mean is -0.8077 1000 t.

Over the past decade 9 countries rose and 3 fell. The largest increase was in Argentina (up 100.0%), and the largest decrease in Myanmar (down 2,100.0%).

Spices, Other — Residuals: full country ranking

#Country LatestYear 10-year changeTrend
1 Angola 0 1000 t 2023 flat
1 United Arab Emirates 0 1000 t 2023 volatile
1 Argentina 0 1000 t 2023 up 100.0% volatile
1 Armenia 0 1000 t 2023 flat
1 Antigua and Barbuda 0 1000 t 2023 flat
1 Australia 0 1000 t 2023 flat
1 Austria 0 1000 t 2023 flat
1 Azerbaijan 0 1000 t 2023 flat
1 Belgium 0 1000 t 2023 flat
1 Burkina Faso 0 1000 t 2023 flat
1 Bangladesh 0 1000 t 2023 flat
1 Bahrain 0 1000 t 2023 flat
1 Bahamas 0 1000 t 2023 flat
1 Bosnia and Herzegovina 0 1000 t 2023 flat
1 Belarus 0 1000 t 2023 flat
1 Belize 0 1000 t 2023 flat
1 Barbados 0 1000 t 2023 flat
1 Bhutan 0 1000 t 2023 flat
1 Botswana 0 1000 t 2023 flat
1 Canada 0 1000 t 2023 flat
1 Switzerland 0 1000 t 2023 flat
1 Chile 0 1000 t 2023 flat
1 China 0 1000 t 2023 flat
1 Cameroon 0 1000 t 2023 flat
1 Congo 0 1000 t 2023 flat
1 Colombia 0 1000 t 2023 flat
1 Comoros 0 1000 t 2023 flat
1 Costa Rica 0 1000 t 2023 volatile
1 Cuba 0 1000 t 2019 flat
1 Cyprus 0 1000 t 2023 flat
1 Czechia 0 1000 t 2023 volatile
1 Germany 0 1000 t 2023 flat
1 Djibouti 0 1000 t 2023 volatile
1 Denmark 0 1000 t 2023 flat
1 Dominican Republic 0 1000 t 2023 flat
1 Algeria 0 1000 t 2023 flat
1 Egypt 0 1000 t 2023 flat
1 Estonia 0 1000 t 2023 flat
1 Ethiopia 0 1000 t 2023 up 100.0% volatile
1 France 0 1000 t 2023 flat
1 Gabon 0 1000 t 2023 flat
1 Georgia 0 1000 t 2023 flat
1 Ghana 0 1000 t 2023 volatile
1 Guinea 0 1000 t 2023 flat
1 Gambia 0 1000 t 2023 flat
1 Guinea-Bissau 0 1000 t 2023 flat
1 Greece 0 1000 t 2023 flat
1 Grenada 0 1000 t 2023 flat
1 Guatemala 0 1000 t 2023 up 100.0% volatile
1 Guyana 0 1000 t 2023 flat
1 Croatia 0 1000 t 2023 flat
1 Haiti 0 1000 t 2023 flat
1 Hungary 0 1000 t 2023 flat
1 Indonesia 0 1000 t 2023 volatile
1 India 0 1000 t 2023 flat
1 Ireland 0 1000 t 2023 flat
1 Iraq 0 1000 t 2023 flat
1 Iceland 0 1000 t 2023 flat
1 Israel 0 1000 t 2023 flat
1 Jamaica 0 1000 t 2023 flat
1 Jordan 0 1000 t 2023 up 100.0% volatile
1 Kazakhstan 0 1000 t 2023 flat
1 Kenya 0 1000 t 2023 flat
1 Kyrgyzstan 0 1000 t 2023 flat
1 Kiribati 0 1000 t 2023 flat
1 Saint Kitts and Nevis 0 1000 t 2023 flat
1 Kuwait 0 1000 t 2023 flat
1 Lebanon 0 1000 t 2023 volatile
1 Liberia 0 1000 t 2023 flat
1 Libya 0 1000 t 2023 flat
1 Saint Lucia 0 1000 t 2023 flat
1 Sri Lanka 0 1000 t 2023 up 100.0% volatile
1 Lesotho 0 1000 t 2023 flat
1 Luxembourg 0 1000 t 2023 flat
1 Latvia 0 1000 t 2023 flat
1 Morocco 0 1000 t 2023 flat
1 Madagascar 0 1000 t 2023 flat
1 Maldives 0 1000 t 2023 flat
1 Mexico 0 1000 t 2023 volatile
1 Marshall Islands 0 1000 t 2023 flat
1 North Macedonia 0 1000 t 2023 flat
1 Malta 0 1000 t 2023 flat
1 Montenegro 0 1000 t 2023 flat
1 Mongolia 0 1000 t 2023 flat
1 Mozambique 0 1000 t 2023 volatile
1 Mauritania 0 1000 t 2023 flat
1 Mauritius 0 1000 t 2023 flat
1 Malawi 0 1000 t 2023 flat
1 Malaysia 0 1000 t 2023 flat
1 Namibia 0 1000 t 2023 flat
1 New Caledonia 0 1000 t 2023 flat
1 Niger 0 1000 t 2023 volatile
1 Nicaragua 0 1000 t 2023 volatile
1 Norway 0 1000 t 2023 flat
1 Nepal 0 1000 t 2023 up 100.0% volatile
1 Nauru 0 1000 t 2023 flat
1 New Zealand 0 1000 t 2023 flat
1 Oman 0 1000 t 2023 flat
1 Pakistan 0 1000 t 2023 flat
1 Panama 0 1000 t 2023 flat
1 Peru 0 1000 t 2023 flat
1 Philippines 0 1000 t 2023 flat
1 Papua New Guinea 0 1000 t 2023 flat
1 Poland 0 1000 t 2023 up 100.0% volatile
1 Portugal 0 1000 t 2023 flat
1 Paraguay 0 1000 t 2023 flat
1 French Polynesia 0 1000 t 2023 flat
1 Qatar 0 1000 t 2023 flat
1 Romania 0 1000 t 2023 volatile
1 Rwanda 0 1000 t 2023 flat
1 Saudi Arabia 0 1000 t 2023 flat
1 Senegal 0 1000 t 2023 flat
1 Solomon Islands 0 1000 t 2023 flat
1 Sierra Leone 0 1000 t 2023 flat
1 El Salvador 0 1000 t 2023 flat
1 Serbia 0 1000 t 2023 volatile
1 Sao Tome and Principe 0 1000 t 2023 flat
1 Suriname 0 1000 t 2023 flat
1 Slovakia 0 1000 t 2023 flat
1 Slovenia 0 1000 t 2023 flat
1 Sweden 0 1000 t 2023 flat
1 Eswatini 0 1000 t 2023 flat
1 Seychelles 0 1000 t 2023 flat
1 Thailand 0 1000 t 2023 flat
1 Tajikistan 0 1000 t 2023 flat
1 Turkmenistan 0 1000 t 2023 volatile
1 Tonga 0 1000 t 2023 flat
1 Trinidad and Tobago 0 1000 t 2023 flat
1 Tunisia 0 1000 t 2023 flat
1 Tuvalu 0 1000 t 2023 flat
1 Ukraine 0 1000 t 2023 volatile
1 Uruguay 0 1000 t 2023 flat
1 Uzbekistan 0 1000 t 2023 flat
1 Vanuatu 0 1000 t 2023 flat
1 Samoa 0 1000 t 2023 flat
1 Yemen 0 1000 t 2023 flat
1 Zambia 0 1000 t 2023 flat
1 Zimbabwe 0 1000 t 2023 flat
1 Micronesia 0 1000 t 2023 flat
1 Timor-Leste 0 1000 t 2023 flat
1 Cabo Verde 0 1000 t 2023 flat
1 Polynesia 0 1000 t 2023 flat
1 Democratic Republic of the Congo 0 1000 t 2023 flat
1 Bolivia (Plurinational State of) 0 1000 t 2023 flat
1 China, Hong Kong SAR 0 1000 t 2023 flat
1 Iran (Islamic Republic of) 0 1000 t 2023 up 100.0% volatile
1 Republic of Korea 0 1000 t 2023 flat
1 Republic of Moldova 0 1000 t 2023 volatile
1 Russian Federation 0 1000 t 2023 flat
1 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
1 Türkiye 0 1000 t 2023 flat
1 Australia and New Zealand 0 1000 t 2023 flat
1 China, mainland 0 1000 t 2023 flat
1 United Republic of Tanzania 0 1000 t 2023 volatile
1 China, Taiwan Province of 0 1000 t 2023 flat
1 Netherlands (Kingdom of the) 0 1000 t 2023 up 100.0% volatile
1 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 flat
1 Democratic People's Republic of Korea 0 1000 t 2018 flat
1 Micronesia (Federated States of) 0 1000 t 2023 flat
1 China, Macao SAR 0 1000 t 2023 flat
161 Albania -1 1000 t 2023 volatile
161 Finland -1 1000 t 2023 volatile
161 Cambodia -1 1000 t 2023 volatile
161 Saint Vincent and the Grenadines -1 1000 t 2023 unchanged volatile
161 Caribbean -1 1000 t 2023 unchanged volatile
166 Ecuador -2 1000 t 2023 volatile
166 Honduras -2 1000 t 2023 volatile
166 Lithuania -2 1000 t 2023 volatile
166 Lao People's Democratic Republic -2 1000 t 2023 volatile
170 Afghanistan -3 1000 t 2023 volatile
170 Fiji -3 1000 t 2023 volatile
170 Uganda -3 1000 t 2023 volatile
170 Melanesia -3 1000 t 2023 volatile
174 Côte d'Ivoire -4 1000 t 2023 volatile
175 Syrian Arab Republic -5 1000 t 2023 volatile
176 Viet Nam -7 1000 t 2023 down 75.0% volatile
177 Nigeria -8 1000 t 2023 volatile
178 Spain -11 1000 t 2023 volatile
179 Italy -14 1000 t 2023 volatile
180 Bulgaria -19 1000 t 2023 volatile
181 Myanmar -22 1000 t 2023 down 2,100.0% volatile
182 Brazil -32 1000 t 2023 down 540.0% 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
Spices, Other — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,897 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.