Cassava and products — 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
86
Highest
8,031 1000 t
Ghana
Lowest
0 1000 t
China, Taiwan Province of
Median
18.5 1000 t
Years covered
14
2010–2023
Data points
1,414

What the numbers show

Cassava and products — Losses is currently reported for 86 countries. The highest value is 8,031 1000 t in Ghana; the lowest is 0 1000 t in China, Taiwan Province of.

The median across all reporting countries is 18.5 1000 t, and the mean is 346.71 1000 t.

Over the past decade 38 countries rose and 18 fell. The largest increase was in Guyana (up 1,600.0%), and the largest decrease in Ecuador (down 100.0%).

Cassava and products — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 Ghana 8,031 1000 t 2023 up 67.4% rising
2 Nigeria 4,759 1000 t 2023 up 13.1% rising
3 Democratic Republic of the Congo 3,569 1000 t 2023 up 33.2% rising
4 Thailand 2,317 1000 t 2023 up 1.8% rising
5 Cameroon 2,115 1000 t 2023 up 34.8% rising
6 Brazil 1,389 1000 t 2023 down 14.1% falling
7 Angola 800 1000 t 2023 down 70.8% falling
8 Viet Nam 780 1000 t 2023 up 6.3% rising
9 Cambodia 660 1000 t 2023 up 16.2% rising
10 Mozambique 566 1000 t 2023 up 117.7% rising
11 United Republic of Tanzania 502 1000 t 2023 up 47.6% rising
12 Lao People's Democratic Republic 480 1000 t 2023 up 410.6% volatile
13 Malawi 369 1000 t 2023 up 30.9% rising
14 Côte d'Ivoire 359 1000 t 2023 up 196.7% rising
15 India 271 1000 t 2023 down 27.0% falling
16 Paraguay 246 1000 t 2023 up 16.6% rising
17 Zambia 223 1000 t 2023 up 150.6% volatile
18 Peru 216 1000 t 2023 up 27.1% rising
19 Senegal 202 1000 t 2023 up 818.2% volatile
20 Guinea 189 1000 t 2023 up 105.4% rising
21 Sierra Leone 172 1000 t 2023 down 40.1% falling
22 Caribbean 165 1000 t 2023 up 46.0% rising
23 China 153 1000 t 2023 up 10.9% rising
23 China, mainland 153 1000 t 2023 up 10.9% rising
25 Haiti 114 1000 t 2023 up 48.1% rising
26 Congo 106 1000 t 2023 up 6.0% rising
26 Venezuela (Bolivarian Republic of) 106 1000 t 2023 down 33.3% falling
28 Rwanda 101 1000 t 2023 up 42.3% rising
29 Madagascar 86 1000 t 2023 down 19.6% falling
30 Gabon 56 1000 t 2023 down 1.8% rising
31 Philippines 55 1000 t 2023 up 19.6% rising
32 Uganda 52 1000 t 2023 down 36.6% falling
33 Liberia 47 1000 t 2023 up 20.5% rising
34 Cuba 41 1000 t 2019 up 127.8% rising
35 Niger 37 1000 t 2023 up 208.3% volatile
36 Kenya 36 1000 t 2023 down 48.6% falling
36 Bolivia (Plurinational State of) 36 1000 t 2023 down 2.7% falling
38 Colombia 33 1000 t 2023 down 56.0% falling
39 Melanesia 24 1000 t 2023 up 14.3% rising
40 Nicaragua 23 1000 t 2023 up 9.5% rising
41 Papua New Guinea 21 1000 t 2023 up 5.0% rising
42 Myanmar 20 1000 t 2023 down 61.5% falling
43 Zimbabwe 19 1000 t 2023 up 11.8% rising
44 Sri Lanka 18 1000 t 2023 up 20.0% rising
45 Argentina 17 1000 t 2023 up 13.3% rising
45 Guyana 17 1000 t 2023 up 1,600.0% volatile
47 Dominican Republic 14 1000 t 2023 up 7.7% flat
48 Costa Rica 8 1000 t 2023 down 27.3% falling
49 Indonesia 7 1000 t 2023 down 98.8% falling
50 Comoros 5 1000 t 2023 unchanged flat
51 Burkina Faso 4 1000 t 2023 volatile
51 Guinea-Bissau 4 1000 t 2023 up 100.0% falling
51 Panama 4 1000 t 2023 up 300.0% volatile
54 Malaysia 3 1000 t 2023 down 40.0% falling
55 Fiji 2 1000 t 2023 up 100.0% rising
55 Honduras 2 1000 t 2023 unchanged flat
55 Jamaica 2 1000 t 2023 falling
55 Mexico 2 1000 t 2023 unchanged rising
55 El Salvador 2 1000 t 2023 down 33.3% falling
60 Gambia 1 1000 t 2023 unchanged flat
60 Suriname 1 1000 t 2023 unchanged volatile
60 Tonga 1 1000 t 2023 flat
60 Micronesia 1 1000 t 2023 flat
60 Timor-Leste 1 1000 t 2023 down 50.0% falling
60 Polynesia 1 1000 t 2023 volatile
60 Micronesia (Federated States of) 1 1000 t 2023 flat
67 Antigua and Barbuda 0 1000 t 2023 flat
67 Bahamas 0 1000 t 2023 flat
67 Belize 0 1000 t 2023 flat
67 Barbados 0 1000 t 2023 flat
67 Ecuador 0 1000 t 2023 down 100.0% falling
67 Grenada 0 1000 t 2019 flat
67 Guatemala 0 1000 t 2023 flat
67 Saint Lucia 0 1000 t 2023 flat
67 Maldives 0 1000 t 2023 flat
67 Mauritius 0 1000 t 2023 flat
67 New Caledonia 0 1000 t 2023 flat
67 French Polynesia 0 1000 t 2023 flat
67 Solomon Islands 0 1000 t 2023 flat
67 Sao Tome and Principe 0 1000 t 2023 flat
67 Seychelles 0 1000 t 2023 flat
67 Trinidad and Tobago 0 1000 t 2023 flat
67 Saint Vincent and the Grenadines 0 1000 t 2023 flat
67 Samoa 0 1000 t 2023 flat
67 Cabo Verde 0 1000 t 2023 volatile
67 China, Taiwan Province of 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
Cassava and products — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
105 places, 1,414 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.