Fruits - Excluding Wine — 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
751 1000 t
Brazil
Lowest
-3,120 1000 t
Italy
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,901

What the numbers show

Fruits - Excluding Wine — Residuals is currently reported for 182 countries. The highest value is 751 1000 t in Brazil; the lowest is -3,120 1000 t in Italy.

The median across all reporting countries is 0 1000 t, and the mean is -9.26 1000 t.

Over the past decade 56 countries rose and 57 fell. The largest increase was in Armenia (up 700.0%), and the largest decrease in Tajikistan (down 11,500.0%).

Fruits - Excluding Wine — Residuals: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 751 1000 t 2023 up 291.1% volatile
2 Thailand 750 1000 t 2023 down 8.4% falling
3 Saudi Arabia 538 1000 t 2023 up 31.2% rising
4 Ecuador 514 1000 t 2023 up 202.4% volatile
5 China 430 1000 t 2023 up 2.6% flat
6 Iran (Islamic Republic of) 408 1000 t 2023 up 10.0% rising
7 India 390 1000 t 2023 up 42.3% rising
8 Mexico 275 1000 t 2023 down 33.7% falling
9 Philippines 241 1000 t 2023 down 2.8% volatile
10 China, Taiwan Province of 221 1000 t 2023 down 11.2% falling
11 China, mainland 218 1000 t 2023 up 28.2% rising
12 Myanmar 192 1000 t 2023 up 48.8% volatile
13 Germany 164 1000 t 2023 down 86.8% volatile
14 Türkiye 143 1000 t 2023 up 98.6% volatile
15 Dominican Republic 128 1000 t 2023 volatile
16 Bangladesh 111 1000 t 2023 up 58.6% rising
17 Iraq 110 1000 t 2023 up 189.5% rising
18 Caribbean 109 1000 t 2023 up 172.5% volatile
19 Switzerland 107 1000 t 2023 up 9.2% falling
20 Pakistan 83 1000 t 2023 up 654.5% volatile
21 Nepal 75 1000 t 2023 up 74.4% rising
22 United Arab Emirates 72 1000 t 2023 up 26.3% volatile
23 Tunisia 71 1000 t 2023 down 16.5% falling
24 Malaysia 70 1000 t 2023 up 191.7% volatile
25 Poland 67 1000 t 2023 down 16.2% rising
25 Zambia 67 1000 t 2023 volatile
27 Algeria 63 1000 t 2023 down 37.6% falling
28 Indonesia 59 1000 t 2023 down 11.9% rising
29 Morocco 51 1000 t 2023 up 45.7% volatile
30 Colombia 44 1000 t 2023 up 193.3% rising
30 Egypt 44 1000 t 2023 down 12.0% volatile
32 Netherlands (Kingdom of the) 41 1000 t 2023 down 29.3% volatile
33 Kenya 38 1000 t 2023 up 144.2% volatile
33 Peru 38 1000 t 2023 down 20.8% flat
35 Armenia 32 1000 t 2023 up 700.0% volatile
35 Israel 32 1000 t 2023 down 5.9% volatile
37 Argentina 31 1000 t 2023 down 85.7% volatile
38 Serbia 17 1000 t 2023 down 10.5% flat
39 Lebanon 16 1000 t 2023 up 433.3% volatile
39 New Zealand 16 1000 t 2023 up 200.0% volatile
41 Denmark 14 1000 t 2023 up 180.0% volatile
42 Romania 13 1000 t 2023 down 82.4% volatile
43 Jamaica 11 1000 t 2023 up 120.0% rising
44 Spain 7 1000 t 2023 down 99.9% volatile
44 El Salvador 7 1000 t 2023 down 89.1% volatile
46 Finland 4 1000 t 2023 down 33.3% falling
47 Kyrgyzstan 3 1000 t 2023 up 200.0% volatile
48 Kazakhstan 2 1000 t 2023 up 120.0% volatile
48 Sri Lanka 2 1000 t 2023 down 33.3% volatile
48 Lithuania 2 1000 t 2023 up 150.0% volatile
48 Latvia 2 1000 t 2023 down 33.3% volatile
48 North Macedonia 2 1000 t 2023 down 89.5% volatile
48 Slovenia 2 1000 t 2023 down 93.9% volatile
48 Ukraine 2 1000 t 2023 down 96.0% volatile
48 Zimbabwe 2 1000 t 2023 down 80.0% volatile
48 Bolivia (Plurinational State of) 2 1000 t 2023 unchanged volatile
57 Bhutan 1 1000 t 2023 falling
57 French Polynesia 1 1000 t 2023 down 50.0% falling
57 Polynesia 1 1000 t 2023 down 66.7% volatile
60 Angola 0 1000 t 2023 volatile
60 Antigua and Barbuda 0 1000 t 2023 volatile
60 Burkina Faso 0 1000 t 2023 up 100.0% volatile
60 Bahrain 0 1000 t 2023 flat
60 Bahamas 0 1000 t 2023 volatile
60 Bosnia and Herzegovina 0 1000 t 2023 up 100.0% volatile
60 Belarus 0 1000 t 2023 up 100.0% volatile
60 Botswana 0 1000 t 2023 flat
60 Canada 0 1000 t 2023 up 100.0% volatile
60 Congo 0 1000 t 2023 flat
60 Comoros 0 1000 t 2023 flat
60 Cuba 0 1000 t 2019 up 100.0% volatile
60 Czechia 0 1000 t 2023 down 100.0% volatile
60 Djibouti 0 1000 t 2023 volatile
60 Gabon 0 1000 t 2023 volatile
60 Guinea 0 1000 t 2023 volatile
60 Gambia 0 1000 t 2023 volatile
60 Guinea-Bissau 0 1000 t 2023 volatile
60 Grenada 0 1000 t 2023 flat
60 Honduras 0 1000 t 2023 up 100.0% volatile
60 Haiti 0 1000 t 2023 down 100.0% volatile
60 Iceland 0 1000 t 2023 volatile
60 Kiribati 0 1000 t 2023 flat
60 Saint Kitts and Nevis 0 1000 t 2023 volatile
60 Kuwait 0 1000 t 2023 up 100.0% volatile
60 Liberia 0 1000 t 2023 volatile
60 Libya 0 1000 t 2023 flat
60 Luxembourg 0 1000 t 2023 up 100.0% volatile
60 Madagascar 0 1000 t 2023 volatile
60 Maldives 0 1000 t 2023 volatile
60 Marshall Islands 0 1000 t 2023 flat
60 Malta 0 1000 t 2023 volatile
60 Montenegro 0 1000 t 2023 up 100.0% volatile
60 Mongolia 0 1000 t 2023 flat
60 Mauritania 0 1000 t 2023 flat
60 Mauritius 0 1000 t 2023 volatile
60 Malawi 0 1000 t 2023 up 100.0% volatile
60 Namibia 0 1000 t 2023 up 100.0% volatile
60 New Caledonia 0 1000 t 2023 flat
60 Niger 0 1000 t 2023 volatile
60 Norway 0 1000 t 2023 flat
60 Nauru 0 1000 t 2023 flat
60 Oman 0 1000 t 2023 volatile
60 Panama 0 1000 t 2023 up 100.0% volatile
60 Papua New Guinea 0 1000 t 2023 flat
60 Qatar 0 1000 t 2023 flat
60 Sao Tome and Principe 0 1000 t 2023 flat
60 Suriname 0 1000 t 2023 volatile
60 Slovakia 0 1000 t 2023 up 100.0% volatile
60 Seychelles 0 1000 t 2023 flat
60 Turkmenistan 0 1000 t 2023 volatile
60 Tonga 0 1000 t 2023 flat
60 Tuvalu 0 1000 t 2023 flat
60 Uruguay 0 1000 t 2023 up 100.0% volatile
60 Saint Vincent and the Grenadines 0 1000 t 2023 flat
60 Vanuatu 0 1000 t 2023 volatile
60 Samoa 0 1000 t 2023 down 100.0% volatile
60 Yemen 0 1000 t 2023 up 100.0% volatile
60 Micronesia 0 1000 t 2023 flat
60 Timor-Leste 0 1000 t 2023 flat
60 Cabo Verde 0 1000 t 2023 flat
60 Democratic Republic of the Congo 0 1000 t 2023 volatile
60 Venezuela (Bolivarian Republic of) 0 1000 t 2023 volatile
60 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 down 100.0% volatile
60 Democratic People's Republic of Korea 0 1000 t 2018 volatile
60 Micronesia (Federated States of) 0 1000 t 2023 flat
60 China, Macao SAR 0 1000 t 2023 flat
127 Fiji -1 1000 t 2023 up 50.0% volatile
127 Guyana -1 1000 t 2023 volatile
127 Saint Lucia -1 1000 t 2023 volatile
127 Senegal -1 1000 t 2023 volatile
127 Republic of Korea -1 1000 t 2023 down 114.3% volatile
132 Barbados -2 1000 t 2023 volatile
132 Ethiopia -2 1000 t 2023 down 100.0% volatile
132 Ireland -2 1000 t 2023 unchanged volatile
132 Syrian Arab Republic -2 1000 t 2023 up 50.0% volatile
136 Jordan -3 1000 t 2023 down 113.0% volatile
136 Russian Federation -3 1000 t 2023 down 100.3% volatile
138 Cameroon -4 1000 t 2023 down 102.0% volatile
138 Paraguay -4 1000 t 2023 down 500.0% flat
138 Sierra Leone -4 1000 t 2023 volatile
141 Lesotho -5 1000 t 2023 volatile
141 Sweden -5 1000 t 2023 volatile
143 Albania -6 1000 t 2023 down 20.0% flat
143 Estonia -6 1000 t 2023 volatile
143 Mozambique -6 1000 t 2023 volatile
146 Belize -7 1000 t 2023 up 90.5% volatile
146 Nigeria -7 1000 t 2023 volatile
148 China, Hong Kong SAR -8 1000 t 2023 volatile
149 Bulgaria -10 1000 t 2023 up 86.8% rising
150 Afghanistan -11 1000 t 2023 up 26.7% volatile
150 Republic of Moldova -11 1000 t 2023 up 95.4% volatile
152 Solomon Islands -15 1000 t 2023 volatile
153 Ghana -16 1000 t 2023 down 260.0% volatile
153 Eswatini -16 1000 t 2023 volatile
153 Melanesia -16 1000 t 2023 down 700.0% volatile
156 Chile -17 1000 t 2023 up 90.1% volatile
156 Cambodia -17 1000 t 2023 volatile
158 Azerbaijan -24 1000 t 2023 down 900.0% volatile
159 Croatia -25 1000 t 2023 down 525.0% volatile
159 Uganda -25 1000 t 2023 down 2,400.0% volatile
161 Trinidad and Tobago -26 1000 t 2023 down 316.7% volatile
162 United Republic of Tanzania -28 1000 t 2023 down 1,300.0% volatile
163 Greece -38 1000 t 2023 up 97.5% volatile
164 Nicaragua -47 1000 t 2023 down 161.1% volatile
165 Georgia -52 1000 t 2023 volatile
166 Portugal -62 1000 t 2023 up 46.1% rising
167 Austria -75 1000 t 2023 up 9.6% rising
168 Côte d'Ivoire -81 1000 t 2023 down 338.2% volatile
169 Australia and New Zealand -85 1000 t 2023 up 64.6% falling
170 Australia -101 1000 t 2023 up 54.9% volatile
171 Cyprus -107 1000 t 2023 down 1,428.6% volatile
172 Rwanda -113 1000 t 2023 down 11,200.0% volatile
173 Tajikistan -114 1000 t 2023 down 11,500.0% volatile
174 Hungary -117 1000 t 2023 up 13.3% flat
175 Guatemala -161 1000 t 2023 down 235.3% volatile
176 Belgium -180 1000 t 2023 down 339.0% volatile
177 Viet Nam -250 1000 t 2023 down 428.9% volatile
178 Costa Rica -304 1000 t 2023 down 7.0% falling
179 Uzbekistan -306 1000 t 2023 down 1,900.0% volatile
180 Lao People's Democratic Republic -647 1000 t 2023 volatile
181 France -2,294 1000 t 2023 down 121.2% falling
182 Italy -3,120 1000 t 2023 down 181.1% 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
Fruits - Excluding Wine — 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, 2,901 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.