Palm kernels — 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
41
Highest
25,604 1000 t
Indonesia
Lowest
0 1000 t
Gambia
Median
27 1000 t
Years covered
14
2010–2023
Data points
772

What the numbers show

Palm kernels — Losses is currently reported for 41 countries. The highest value is 25,604 1000 t in Indonesia; the lowest is 0 1000 t in Gambia.

The median across all reporting countries is 27 1000 t, and the mean is 727.71 1000 t.

Over the past decade 24 countries rose and 3 fell. The largest increase was in Gabon (up 2,125.0%), and the largest decrease in Nicaragua (down 50.0%).

Palm kernels — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 Indonesia 25,604 1000 t 2023 up 57.7% volatile
2 Malaysia 1,299 1000 t 2023 up 0.1% rising
3 Ghana 590 1000 t 2023 up 31.7% rising
4 Peru 314 1000 t 2023 up 168.4% rising
5 China 266 1000 t 2023 unchanged flat
5 China, mainland 266 1000 t 2023 unchanged flat
7 Thailand 252 1000 t 2023 up 46.5% rising
8 Brazil 236 1000 t 2023 volatile
9 Democratic Republic of the Congo 195 1000 t 2023 down 16.3% flat
10 Nigeria 163 1000 t 2023 up 45.5% rising
11 Colombia 115 1000 t 2023 up 64.3% rising
12 Gabon 89 1000 t 2023 up 2,125.0% volatile
13 Guinea 55 1000 t 2023 up 1.9% flat
14 Ecuador 51 1000 t 2023 down 10.5% falling
15 Melanesia 47 1000 t 2023 up 46.9% rising
16 Guatemala 45 1000 t 2023 up 114.3% rising
17 Papua New Guinea 43 1000 t 2023 up 48.3% rising
18 Côte d'Ivoire 38 1000 t 2023 up 58.3% rising
19 Cameroon 33 1000 t 2023 up 13.8% rising
20 United Republic of Tanzania 31 1000 t 2023 up 6.9% rising
21 Honduras 27 1000 t 2023 unchanged rising
22 Mexico 19 1000 t 2023 up 137.5% rising
23 Philippines 7 1000 t 2023 unchanged falling
24 Dominican Republic 5 1000 t 2023 up 25.0% rising
24 Venezuela (Bolivarian Republic of) 5 1000 t 2023 up 400.0% volatile
24 Solomon Islands 5 1000 t 2023 up 66.7% rising
24 Caribbean 5 1000 t 2023 up 25.0% rising
24 Cambodia 5 1000 t 2023 up 150.0% rising
29 Angola 4 1000 t 2023 unchanged flat
29 Sierra Leone 4 1000 t 2023 up 33.3% rising
29 Panama 4 1000 t 2023 up 300.0% volatile
32 Senegal 3 1000 t 2023 unchanged flat
32 Liberia 3 1000 t 2023 up 50.0% rising
34 Paraguay 2 1000 t 2023 unchanged flat
34 Nicaragua 2 1000 t 2023 down 50.0% volatile
34 Congo 2 1000 t 2023 unchanged flat
37 Madagascar 1 1000 t 2023 unchanged flat
37 Guinea-Bissau 1 1000 t 2023 unchanged flat
39 Suriname 0 1000 t 2023 flat
39 Sao Tome and Principe 0 1000 t 2023 flat
39 Gambia 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
Palm kernels — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
58 places, 772 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.