Papua New Guinea vs Sierra Leone: Starchy Roots — Food supply

Papua New Guinea
1.61 million million Kcal
in 2023
Sierra Leone
1.49 million million Kcal
in 2023
Papua New Guinea rank
40th
Sierra Leone rank
41st

Starchy Roots — Food supply over time

  • Papua New Guinea
  • Sierra Leone
0500.0k1.0M1.5M201020162023

How they compare

Papua New Guinea currently reports 1.61 million million Kcal against 1.49 million million Kcal in Sierra Leone, a difference of 114,420 million Kcal.

That makes Papua New Guinea's figure about 1.1 times Sierra Leone's.

Across all 14 years both countries report, Papua New Guinea has been ahead every year.

Papua New Guinea ranks 40th and Sierra Leone ranks 41st of 164 countries.

Papua New Guinea has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Papua New Guinea Sierra Leone Difference Ahead
2010s 1.53 million million Kcal 1.36 million million Kcal 172,010 million Kcal Papua New Guinea
2020s 1.62 million million Kcal 1.48 million million Kcal 136,200 million Kcal Papua New Guinea

Averages of every year both report within each decade.

Frequently asked questions

Which has higher starchy roots — food supply, Papua New Guinea or Sierra Leone?
Papua New Guinea, at 1.61 million million Kcal against 1.49 million million Kcal in Sierra Leone as of 2023.
What is the difference in starchy roots — food supply between Papua New Guinea and Sierra Leone?
114,420 million Kcal, with Papua New Guinea ahead.
How many years of comparable data are there for Papua New Guinea and Sierra Leone?
14 years are reported by both, from 2010 to 2023.
How do Papua New Guinea and Sierra Leone rank globally for starchy roots — food supply?
Papua New Guinea ranks 40th and Sierra Leone ranks 41st of 164 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Starchy Roots — Food supply (kcal). 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

Papua New Guinea vs Sierra Leone: Starchy Roots — Food supply. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 September 2026, from https://agriculture.statizoid.com/compare/starchy-roots-food-supply-kcal/papua-new-guinea/sierra-leone/

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/starchy-roots-food-supply-kcal/papua-new-guinea/sierra-leone/">Papua New Guinea vs Sierra Leone: Starchy Roots — Food supply</a> — Statizoid

About this data

Indicator
Starchy Roots — Food supply (kcal)
Unit
million Kcal
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,901 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.