Cameroon vs Small Island Developing States: Cottonseed β€” Stock Variation

Cameroon
0 t
in 2013
Small Island Developing States
15 t
in 2013
Cameroon rank
15th
Small Island Developing States rank
13th

Cottonseed β€” Stock Variation over time

  • Cameroon
  • Small Island Developing States
-75.0k-50.0k-25.0k025.0k50.0k196119872013

How they compare

Small Island Developing States currently reports 15 t against 0 t in Cameroon, a difference of 15 t.

The two have swapped places 21 times across 53 shared years of data; in 1961 it was Cameroon ahead.

Cameroon ranks 15th and Small Island Developing States ranks 13th of 68 countries.

Across the 6 decades both report, Cameroon averaged higher in 1 and Small Island Developing States in 5.

Head to head by decade

Decade Cameroon Small Island Developing States Difference Ahead
1960s -4,667 t -8.89 t 4,658 t Small Island Developing States
1970s -3,300 t 8 t 3,308 t Small Island Developing States
1980s -10,100 t 0 t 10,100 t Small Island Developing States
1990s 14,100 t 0 t 14,100 t Cameroon
2000s -3,600 t -1.5 t 3,598 t Small Island Developing States
2010s 0 t 3.75 t 3.75 t Small Island Developing States

Averages of every year both report within each decade.

Frequently asked questions

Which has higher cottonseed β€” stock variation, Cameroon or Small Island Developing States?
Small Island Developing States, at 15 t against 0 t in Cameroon as of 2013.
What is the difference in cottonseed β€” stock variation between Cameroon and Small Island Developing States?
15 t, with Small Island Developing States ahead.
How many years of comparable data are there for Cameroon and Small Island Developing States?
53 years are reported by both, from 1961 to 2013.
How do Cameroon and Small Island Developing States rank globally for cottonseed β€” stock variation?
Cameroon ranks 15th and Small Island Developing States ranks 13th of 68 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Cottonseed β€” Stock Variation. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Cameroon vs Small Island Developing States: Cottonseed β€” Stock Variation. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 15 August 2026, from https://agriculture.statizoid.com/compare/cottonseed-stock-variation/cameroon/small-island-developing-states/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/compare/cottonseed-stock-variation/cameroon/small-island-developing-states/">Cameroon vs Small Island Developing States: Cottonseed β€” Stock Variation</a> β€” Statizoid

About this data

Indicator
Cottonseed β€” Stock Variation
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
99 places, 4,949 data points, 1961–2013
Last refreshed

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 caput 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.