Spices — Losses 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
101
Highest
264 1000 t
India
Lowest
0 1000 t
China, Macao SAR
Median
1 1000 t
Years covered
14
2010–2023
Data points
1,653

What the numbers show

Spices — Losses is currently reported for 101 countries. The highest value is 264 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.

The median across all reporting countries is 1 1000 t, and the mean is 10.5 1000 t.

Over the past decade 30 countries rose and 4 fell. The largest increase was in Russian Federation (up 300.0%), and the largest decrease in Bulgaria (down 100.0%).

Spices — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 India 264 1000 t 2023 up 94.1% rising
2 China 117 1000 t 2023 up 62.5% rising
3 China, mainland 115 1000 t 2023 up 64.3% rising
4 Nigeria 82 1000 t 2023 up 54.7% rising
5 Bangladesh 71 1000 t 2023 up 173.1% rising
6 Indonesia 59 1000 t 2023 up 31.1% rising
7 Nepal 54 1000 t 2023 up 31.7% rising
8 Ethiopia 43 1000 t 2023 up 16.2% rising
9 Guatemala 36 1000 t 2023 up 157.1% rising
10 Thailand 34 1000 t 2023 up 25.9% rising
11 Viet Nam 26 1000 t 2023 up 85.7% rising
12 Türkiye 22 1000 t 2023 up 100.0% rising
13 Sri Lanka 13 1000 t 2023 up 85.7% rising
14 Pakistan 12 1000 t 2023 up 9.1% rising
15 Mexico 11 1000 t 2023 up 57.1% rising
16 Myanmar 10 1000 t 2023 up 66.7% rising
17 Cameroon 8 1000 t 2023 up 33.3% rising
18 Brazil 7 1000 t 2023 up 250.0% rising
19 Canada 5 1000 t 2023 up 25.0% rising
19 Egypt 5 1000 t 2023 up 25.0% rising
19 Côte d'Ivoire 5 1000 t 2023 up 25.0% rising
22 Ghana 4 1000 t 2023 down 20.0% falling
22 Peru 4 1000 t 2023 up 33.3% rising
22 Russian Federation 4 1000 t 2023 up 300.0% rising
25 Guyana 3 1000 t 2023 volatile
25 Malaysia 3 1000 t 2023 up 50.0% rising
25 Niger 3 1000 t 2023 up 200.0% volatile
25 Philippines 3 1000 t 2023 unchanged flat
25 Tunisia 3 1000 t 2023 up 50.0% rising
25 Iran (Islamic Republic of) 3 1000 t 2023 up 50.0% rising
25 Syrian Arab Republic 3 1000 t 2023 unchanged rising
32 Colombia 2 1000 t 2023 up 100.0% rising
32 Madagascar 2 1000 t 2023 up 100.0% rising
32 Melanesia 2 1000 t 2023 up 100.0% volatile
32 Democratic Republic of the Congo 2 1000 t 2023 unchanged flat
32 Caribbean 2 1000 t 2023 volatile
37 Afghanistan 1 1000 t 2023 unchanged flat
37 Burkina Faso 1 1000 t 2023 unchanged flat
37 Bosnia and Herzegovina 1 1000 t 2023 unchanged flat
37 Bhutan 1 1000 t 2023 falling
37 Comoros 1 1000 t 2023 unchanged flat
37 Algeria 1 1000 t 2023 unchanged flat
37 Fiji 1 1000 t 2023 unchanged volatile
37 Hungary 1 1000 t 2023 down 50.0% volatile
37 Jamaica 1 1000 t 2023 unchanged flat
37 Kenya 1 1000 t 2023 volatile
37 Cambodia 1 1000 t 2023 unchanged flat
37 Morocco 1 1000 t 2023 unchanged falling
37 Tajikistan 1 1000 t 2023 volatile
37 Uzbekistan 1 1000 t 2023 volatile
37 Zimbabwe 1 1000 t 2023 volatile
37 Republic of Korea 1 1000 t 2023 volatile
37 Lao People's Democratic Republic 1 1000 t 2023 unchanged flat
37 United Republic of Tanzania 1 1000 t 2023 unchanged flat
37 China, Taiwan Province of 1 1000 t 2023 down 50.0% volatile
56 Argentina 0 1000 t 2023 flat
56 Australia 0 1000 t 2023 flat
56 Bulgaria 0 1000 t 2023 down 100.0% volatile
56 Bahrain 0 1000 t 2023 flat
56 Costa Rica 0 1000 t 2023 flat
56 Djibouti 0 1000 t 2023 flat
56 Dominican Republic 0 1000 t 2023 flat
56 Ecuador 0 1000 t 2023 flat
56 Georgia 0 1000 t 2023 flat
56 Grenada 0 1000 t 2023 flat
56 Honduras 0 1000 t 2023 flat
56 Kazakhstan 0 1000 t 2023 flat
56 Kyrgyzstan 0 1000 t 2023 flat
56 Kuwait 0 1000 t 2023 flat
56 Lebanon 0 1000 t 2023 flat
56 Saint Lucia 0 1000 t 2023 flat
56 Maldives 0 1000 t 2023 flat
56 North Macedonia 0 1000 t 2023 flat
56 Mauritius 0 1000 t 2023 flat
56 Malawi 0 1000 t 2023 flat
56 Namibia 0 1000 t 2023 flat
56 Papua New Guinea 0 1000 t 2023 flat
56 French Polynesia 0 1000 t 2023 flat
56 Qatar 0 1000 t 2023 flat
56 Rwanda 0 1000 t 2023 flat
56 Senegal 0 1000 t 2023 flat
56 Solomon Islands 0 1000 t 2023 flat
56 Sierra Leone 0 1000 t 2023 flat
56 Serbia 0 1000 t 2023 flat
56 Sao Tome and Principe 0 1000 t 2023 flat
56 Slovenia 0 1000 t 2018 flat
56 Seychelles 0 1000 t 2023 flat
56 Tonga 0 1000 t 2023 flat
56 Trinidad and Tobago 0 1000 t 2023 flat
56 Uganda 0 1000 t 2023 flat
56 Ukraine 0 1000 t 2023 flat
56 Saint Vincent and the Grenadines 0 1000 t 2023 flat
56 Vanuatu 0 1000 t 2023 flat
56 Samoa 0 1000 t 2023 flat
56 Zambia 0 1000 t 2023 flat
56 Cabo Verde 0 1000 t 2023 flat
56 Polynesia 0 1000 t 2023 flat
56 Bolivia (Plurinational State of) 0 1000 t 2023 flat
56 China, Hong Kong SAR 0 1000 t 2023 flat
56 Australia and New Zealand 0 1000 t 2023 flat
56 China, Macao SAR 0 1000 t 2023 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
Spices — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
130 places, 1,653 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.