Palm kernels — Stock Variation 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
518 1000 t
Brazil
Lowest
-6,703 1000 t
Indonesia
Median
4 1000 t
Years covered
14
2010–2023
Data points
1,053

What the numbers show

Palm kernels — Stock Variation is currently reported for 41 countries. The highest value is 518 1000 t in Brazil; the lowest is -6,703 1000 t in Indonesia.

The median across all reporting countries is 4 1000 t, and the mean is -113.56 1000 t.

Over the past decade 24 countries rose and 6 fell. The largest increase was in Peru (up 6,900.0%), and the largest decrease in Mexico (down 7,737.5%).

Palm kernels — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 518 1000 t 2023 — volatile
2 Cameroon 276 1000 t 2023 up 1,085.7% volatile
3 Malaysia 235 1000 t 2023 up 115.5% volatile
4 Cote d'Ivoire 233 1000 t 2023 up 308.8% volatile
4 Côte d'Ivoire 233 1000 t 2023 up 308.8% volatile
6 Democratic Republic of the Congo 218 1000 t 2023 up 220.4% volatile
7 Nigeria 201 1000 t 2023 up 260.8% volatile
8 Colombia 177 1000 t 2023 up 447.1% volatile
9 Guatemala 137 1000 t 2023 up 374.0% volatile
10 Peru 136 1000 t 2023 up 6,900.0% volatile
11 Cambodia 108 1000 t 2023 — volatile
12 Melanesia 96 1000 t 2023 up 172.7% volatile
13 Papua New Guinea 81 1000 t 2023 up 162.8% volatile
14 Sierra Leone 55 1000 t 2023 up 214.6% volatile
15 Caribbean 37 1000 t 2023 — volatile
15 Dominican Republic 37 1000 t 2023 — volatile
17 Philippines 33 1000 t 2023 up 571.4% volatile
18 Solomon Islands 14 1000 t 2023 up 566.7% volatile
19 Ghana 10 1000 t 2023 up 102.2% volatile
20 Gabon 5 1000 t 2023 up 225.0% volatile
21 Sao Tome and Principe 4 1000 t 2023 — volatile
22 Liberia 2 1000 t 2023 up 140.0% volatile
23 Guinea 1 1000 t 2023 up 101.9% volatile
24 Senegal 0 1000 t 2023 up 100.0% volatile
24 Ecuador 0 1000 t 2023 up 100.0% volatile
24 Guinea-Bissau 0 1000 t 2023 — volatile
24 Honduras 0 1000 t 2023 down 100.0% volatile
24 Madagascar 0 1000 t 2023 — volatile
24 United Republic of Tanzania 0 1000 t 2023 up 100.0% volatile
50 China, mainland -1 1000 t 2023 — volatile
50 Paraguay -1 1000 t 2023 — volatile
50 Congo -1 1000 t 2023 up 50.0% rising
50 China -1 1000 t 2023 — volatile
54 Thailand -5 1000 t 2023 up 99.9% volatile
55 Costa Rica -6 1000 t 2023 — volatile
56 Panama -13 1000 t 2023 down 218.2% volatile
57 Venezuela (Bolivarian Republic of) -16 1000 t 2023 down 104.7% volatile
58 Angola -59 1000 t 2023 down 1,375.0% volatile
59 Nicaragua -70 1000 t 2023 up 30.0% volatile
60 Mexico -627 1000 t 2023 down 7,737.5% volatile
61 Indonesia -6,703 1000 t 2023 down 127.9% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Palm kernels — Stock Variation by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 October 2026, from https://agriculture.statizoid.com/stat/palm-kernels-stock-variation-2/

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About this data

Indicator
Palm kernels — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
81 places, 1,053 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.