Statizoid

Citrus, Other — Export quantity 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
151
Highest
137 1000 t
Spain
Lowest
0 1000 t
China, Macao SAR
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,237

What the numbers show

Citrus, Other — Export quantity is currently reported for 151 countries. The highest value is 137 1000 t in Spain; the lowest is 0 1000 t in China, Macao SAR.

The median across all reporting countries is 0 1000 t, and the mean is 3.07 1000 t.

Over the past decade 11 countries rose and 23 fell. The largest increase was in Greece (up 800.0%), and the largest decrease in Afghanistan (down 100.0%).

Citrus, Other — Export quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Spain 137 1000 t 2023 up 44.2% rising
2 Mexico 110 1000 t 2023 down 21.4% rising
3 Netherlands (Kingdom of the) 56 1000 t 2023 up 86.7% rising
4 Brazil 19 1000 t 2023 up 216.7% rising
5 Italy 18 1000 t 2023 down 41.9% rising
6 Thailand 15 1000 t 2023 up 400.0% volatile
7 Austria 13 1000 t 2023 up 333.3% volatile
8 Germany 10 1000 t 2023 up 42.9% rising
8 Ireland 10 1000 t 2023 up 233.3% rising
10 Greece 9 1000 t 2023 up 800.0% volatile
10 Pakistan 9 1000 t 2023 down 77.5% volatile
12 United Arab Emirates 8 1000 t 2023 up 100.0% rising
13 Viet Nam 7 1000 t 2023 — volatile
14 India 4 1000 t 2023 down 55.6% volatile
14 Philippines 4 1000 t 2023 — volatile
16 Republic of Korea 3 1000 t 2023 — volatile
16 Türkiye 3 1000 t 2023 unchanged falling
18 Switzerland 2 1000 t 2023 down 33.3% falling
18 Denmark 2 1000 t 2023 down 33.3% falling
18 France 2 1000 t 2023 up 100.0% volatile
18 Bolivia (Plurinational State of) 2 1000 t 2023 up 100.0% volatile
22 Belgium 1 1000 t 2023 unchanged rising
22 China 1 1000 t 2023 down 75.0% rising
22 Cuba 1 1000 t 2017 — volatile
22 Egypt 1 1000 t 2023 down 50.0% volatile
22 Israel 1 1000 t 2023 down 75.0% volatile
22 Sri Lanka 1 1000 t 2023 down 50.0% volatile
22 Lithuania 1 1000 t 2023 — volatile
22 Morocco 1 1000 t 2023 — volatile
22 Malaysia 1 1000 t 2023 — volatile
22 Oman 1 1000 t 2023 — volatile
22 Poland 1 1000 t 2023 unchanged volatile
22 Saudi Arabia 1 1000 t 2023 down 88.9% volatile
22 Slovakia 1 1000 t 2023 — volatile
22 Slovenia 1 1000 t 2023 unchanged flat
22 Caribbean 1 1000 t 2023 — volatile
22 Iran (Islamic Republic of) 1 1000 t 2023 down 66.7% volatile
22 Australia and New Zealand 1 1000 t 2023 — volatile
22 United Republic of Tanzania 1 1000 t 2023 — volatile
22 China, Taiwan Province of 1 1000 t 2023 down 50.0% volatile
22 United Kingdom of Great Britain and Northern Ireland 1 1000 t 2023 down 50.0% volatile
42 Afghanistan 0 1000 t 2023 down 100.0% volatile
42 Angola 0 1000 t 2023 — flat
42 Albania 0 1000 t 2022 — flat
42 Argentina 0 1000 t 2017 — volatile
42 Armenia 0 1000 t 2023 — flat
42 Australia 0 1000 t 2023 — flat
42 Azerbaijan 0 1000 t 2023 — flat
42 Burkina Faso 0 1000 t 2023 — flat
42 Bangladesh 0 1000 t 2023 — volatile
42 Bulgaria 0 1000 t 2023 — flat
42 Bahrain 0 1000 t 2023 — flat
42 Bosnia and Herzegovina 0 1000 t 2023 — flat
42 Belarus 0 1000 t 2023 — flat
42 Belize 0 1000 t 2023 — flat
42 Barbados 0 1000 t 2021 — flat
42 Bhutan 0 1000 t 2023 — flat
42 Botswana 0 1000 t 2023 — flat
42 Canada 0 1000 t 2023 down 100.0% volatile
42 Chile 0 1000 t 2023 — flat
42 Cameroon 0 1000 t 2023 — flat
42 Colombia 0 1000 t 2023 — flat
42 Costa Rica 0 1000 t 2023 — flat
42 Cyprus 0 1000 t 2023 — flat
42 Czechia 0 1000 t 2023 — flat
42 Dominican Republic 0 1000 t 2023 — flat
42 Algeria 0 1000 t 2023 — flat
42 Ecuador 0 1000 t 2023 — flat
42 Estonia 0 1000 t 2023 — flat
42 Ethiopia 0 1000 t 2023 — flat
42 Finland 0 1000 t 2023 — flat
42 Fiji 0 1000 t 2023 — flat
42 Gabon 0 1000 t 2023 — flat
42 Georgia 0 1000 t 2023 — volatile
42 Ghana 0 1000 t 2023 — flat
42 Guinea 0 1000 t 2023 — flat
42 Gambia 0 1000 t 2023 — flat
42 Grenada 0 1000 t 2020 — flat
42 Guatemala 0 1000 t 2023 down 100.0% volatile
42 Guyana 0 1000 t 2023 — flat
42 Honduras 0 1000 t 2023 — volatile
42 Croatia 0 1000 t 2023 — flat
42 Haiti 0 1000 t 2021 — flat
42 Hungary 0 1000 t 2023 — volatile
42 Indonesia 0 1000 t 2023 — flat
42 Iraq 0 1000 t 2023 — flat
42 Iceland 0 1000 t 2023 — flat
42 Jamaica 0 1000 t 2023 — flat
42 Jordan 0 1000 t 2023 — volatile
42 Kazakhstan 0 1000 t 2023 — flat
42 Kenya 0 1000 t 2023 down 100.0% volatile
42 Kyrgyzstan 0 1000 t 2020 — flat
42 Cambodia 0 1000 t 2023 — flat
42 Kuwait 0 1000 t 2023 down 100.0% volatile
42 Lebanon 0 1000 t 2023 down 100.0% volatile
42 Libya 0 1000 t 2018 — flat
42 Saint Lucia 0 1000 t 2023 — flat
42 Lesotho 0 1000 t 2022 — flat
42 Luxembourg 0 1000 t 2023 — flat
42 Latvia 0 1000 t 2023 down 100.0% volatile
42 Madagascar 0 1000 t 2023 — flat
42 North Macedonia 0 1000 t 2023 — flat
42 Malta 0 1000 t 2023 — flat
42 Myanmar 0 1000 t 2023 — flat
42 Montenegro 0 1000 t 2021 — flat
42 Mongolia 0 1000 t 2019 — flat
42 Mozambique 0 1000 t 2023 — flat
42 Mauritius 0 1000 t 2021 — flat
42 Malawi 0 1000 t 2023 — flat
42 Namibia 0 1000 t 2023 — flat
42 Nigeria 0 1000 t 2023 — flat
42 Nicaragua 0 1000 t 2021 — volatile
42 Norway 0 1000 t 2023 — flat
42 Nepal 0 1000 t 2023 — volatile
42 New Zealand 0 1000 t 2023 — volatile
42 Panama 0 1000 t 2020 — flat
42 Peru 0 1000 t 2023 — flat
42 Papua New Guinea 0 1000 t 2018 — flat
42 Portugal 0 1000 t 2023 — volatile
42 Romania 0 1000 t 2023 — flat
42 Rwanda 0 1000 t 2022 — flat
42 Senegal 0 1000 t 2023 — flat
42 Solomon Islands 0 1000 t 2023 — flat
42 El Salvador 0 1000 t 2023 — flat
42 Serbia 0 1000 t 2023 — flat
42 Suriname 0 1000 t 2022 — flat
42 Sweden 0 1000 t 2023 — flat
42 Eswatini 0 1000 t 2023 — flat
42 Trinidad and Tobago 0 1000 t 2023 — flat
42 Tunisia 0 1000 t 2023 — volatile
42 Uganda 0 1000 t 2023 — volatile
42 Ukraine 0 1000 t 2023 — flat
42 Uruguay 0 1000 t 2023 — flat
42 Uzbekistan 0 1000 t 2021 — flat
42 Vanuatu 0 1000 t 2021 — flat
42 Samoa 0 1000 t 2020 — flat
42 Yemen 0 1000 t 2023 — flat
42 Zambia 0 1000 t 2023 — flat
42 Zimbabwe 0 1000 t 2023 — volatile
42 Melanesia 0 1000 t 2023 — flat
42 Polynesia 0 1000 t 2020 — flat
42 Democratic Republic of the Congo 0 1000 t 2023 — flat
42 China, Hong Kong SAR 0 1000 t 2023 — volatile
42 Republic of Moldova 0 1000 t 2023 — flat
42 Russian Federation 0 1000 t 2023 — flat
42 Syrian Arab Republic 0 1000 t 2023 down 100.0% volatile
42 Venezuela (Bolivarian Republic of) 0 1000 t 2022 — flat
42 China, mainland 0 1000 t 2023 down 100.0% volatile
42 Côte d'Ivoire 0 1000 t 2023 — flat
42 Lao People's Democratic Republic 0 1000 t 2023 — flat
42 China, Macao SAR 0 1000 t 2018 — flat

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
Citrus, Other — Export quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
182 places, 2,237 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.