Timor-Leste vs Venezuela (Bolivarian Republic of): Sweets and sugars — Fat supply — Value

Timor-Leste
2.4 g/cap/d
in 2023
Venezuela (Bolivarian Republic of)
2.7 g/cap/d
in 2023
Timor-Leste rank
4th
Venezuela (Bolivarian Republic of) rank
3rd

Sweets and sugars — Fat supply — Value over time

  • Timor-Leste
  • Venezuela (Bolivarian Republic of)
01234201020162023

How they compare

Venezuela (Bolivarian Republic of) currently reports 2.7 g/cap/d against 2.4 g/cap/d in Timor-Leste, a difference of 0.3 g/cap/d.

That makes Venezuela (Bolivarian Republic of)'s figure about 1.1 times Timor-Leste's.

The two have swapped places 1 time across 14 shared years of data; in 2010 it was Timor-Leste ahead.

Timor-Leste ranks 4th and Venezuela (Bolivarian Republic of) ranks 3rd of 13 countries.

Across the 2 decades both report, Timor-Leste averaged higher in 1 and Venezuela (Bolivarian Republic of) in 1.

Head to head by decade

Decade Timor-Leste Venezuela (Bolivarian Republic of) Difference Ahead
2010s 1.62 g/cap/d 0.59 g/cap/d 1.03 g/cap/d Timor-Leste
2020s 1.93 g/cap/d 2.62 g/cap/d 0.7 g/cap/d Venezuela (Bolivarian Republic of)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher sweets and sugars — fat supply — value, Timor-Leste or Venezuela (Bolivarian Republic of)?
Venezuela (Bolivarian Republic of), at 2.7 g/cap/d against 2.4 g/cap/d in Timor-Leste as of 2023.
What is the difference in sweets and sugars — fat supply — value between Timor-Leste and Venezuela (Bolivarian Republic of)?
0.3 g/cap/d, with Venezuela (Bolivarian Republic of) ahead.
How many years of comparable data are there for Timor-Leste and Venezuela (Bolivarian Republic of)?
14 years are reported by both, from 2010 to 2023.
How do Timor-Leste and Venezuela (Bolivarian Republic of) rank globally for sweets and sugars — fat supply — value?
Timor-Leste ranks 4th and Venezuela (Bolivarian Republic of) ranks 3rd of 13 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Sweets and sugars — Fat supply — Value. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Timor-Leste vs Venezuela (Bolivarian Republic of): Sweets and sugars — Fat supply — Value. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/compare/sweets-and-sugars-fat-supply-value/timor-leste-2/venezuela-bolivarian-republic-of/

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About this data

Indicator
Sweets and sugars — Fat supply — Value
Unit
g/cap/d
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
179 places, 2,425 data points, 2010–2023
Last refreshed

The dataset presents average daily per capita macro and micro nutrient availability by country and by FAO/WHO GIFT food groups (that are different from those used for the Food Balance Sheets), expressed in grams/milligrams/micrograms/kcal per capita per day. The population numbers used to calculate these statistics can be found in the Supply Utilization Accounts (SUA) dataset of FAOSTAT, as Total Population. Food availability quantities are derived from the SUA dataset. SUAs present a comprehensive picture of the pattern of a country's food supply and utilization during a specified reference period. The SUA 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 capita 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.