Sweets and sugars — Fat supply — Value in Democratic Republic of the Congo

Democratic Republic of the Congo: Sweets and sugars — Fat supply — Value was 0.3 g/cap/d in 2023. ◆ Volatile

Latest (2023)
0.3 g/cap/d
Change on year
up 200.0%
Rank
11th
of 13 groups
All-time high
0.3 g/cap/d
in 2015
All-time low
0.1 g/cap/d
in 2010
Years of data
14
2010–2023

Sweets and sugars — Fat supply — Value in Democratic Republic of the Congo, 2010–2023

0.10.150.20.250.32010201620232010: 0.1 g/cap/d2011: 0.1 g/cap/d2012: 0.1 g/cap/d2013: 0.1 g/cap/d2014: 0.1 g/cap/d2015: 0.3 g/cap/d2016: 0.1 g/cap/d2017: 0.1 g/cap/d2018: 0.2 g/cap/d2019: 0.2 g/cap/d2020: 0.1 g/cap/d2021: 0.1 g/cap/d2022: 0.1 g/cap/d2023: 0.3 g/cap/d

Source: Food and Agriculture Organization of the United Nations. Measured in g/cap/d.

Analysis

The most recent figure for sweets and sugars — fat supply — value in Democratic Republic of the Congo is 0.3 g/cap/d, measured in 2023. That is the highest value across all 14 years on record.

That represents a change of up 200.0% on the previous year and up 200.0% over ten years.

Over the whole period, sweets and sugars — fat supply — value in Democratic Republic of the Congo peaked at 0.3 g/cap/d in 2015 and was at its lowest, 0.1 g/cap/d, in 2010.

The series is highly variable year to year, so single readings are best treated with caution.

Sweets and sugars — Fat supply — Value in Democratic Republic of the Congo, year by year

Annual values for Sweets and sugars — Fat supply — Value in Democratic Republic of the Congo, 2010 to 2023.
Year g/cap/d Change
2010 0.1 g/cap/d
2011 0.1 g/cap/d +0.0%
2012 0.1 g/cap/d +0.0%
2013 0.1 g/cap/d +0.0%
2014 0.1 g/cap/d +0.0%
2015 0.3 g/cap/d +200.0%
2016 0.1 g/cap/d -66.7%
2017 0.1 g/cap/d +0.0%
2018 0.2 g/cap/d +100.0%
2019 0.2 g/cap/d +0.0%
2020 0.1 g/cap/d -50.0%
2021 0.1 g/cap/d +0.0%
2022 0.1 g/cap/d +0.0%
2023 0.3 g/cap/d +200.0%

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.14 g/cap/d 0.1 g/cap/d 0.3 g/cap/d 10
2020s 0.15 g/cap/d 0.1 g/cap/d 0.3 g/cap/d 4

Countries ranked near Democratic Republic of the Congo

  1. 8 Mongolia 11.1 g/cap/d compare
  2. 9 Belarus 11 g/cap/d compare
  3. 10 French Polynesia 10.5 g/cap/d compare
  4. 11 Marshall Islands 10.2 g/cap/d compare
  5. 12 China, Macao SAR 10 g/cap/d compare
  6. 12 Seychelles 10 g/cap/d compare
  7. 12 Slovenia 10 g/cap/d compare

See the full ranking of 179 places →

More agriculture & rural data for Democratic Republic of the Congo

All data for Democratic Republic of the Congo →

Frequently asked questions

What is sweets and sugars — fat supply — value in Democratic Republic of the Congo?
Sweets and sugars — fat supply — value in Democratic Republic of the Congo was 0.3 g/cap/d in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest sweets and sugars — fat supply — value recorded in Democratic Republic of the Congo?
The highest recorded value was 0.3 g/cap/d in 2015.
What is the lowest sweets and sugars — fat supply — value recorded in Democratic Republic of the Congo?
The lowest recorded value was 0.1 g/cap/d in 2010.
How does Democratic Republic of the Congo rank for sweets and sugars — fat supply — value?
Democratic Republic of the Congo ranks 11th out of 13 groups with data for 2023.
Is sweets and sugars — fat supply — value rising or falling in Democratic Republic of the Congo?
Over the last ten years it is up 200.0%. The long-run trend across the full record is volatile.
Where does this Democratic Republic of the Congo data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Sweets and sugars — Fat supply — Value. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

Share, cite or embed this page

Cite this page

Sweets and sugars — Fat supply — Value in Democratic Republic of the Congo. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 29 August 2026, from https://agriculture.statizoid.com/stat/sweets-and-sugars-fat-supply-value/democratic-republic-of-the-congo/

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/stat/sweets-and-sugars-fat-supply-value/democratic-republic-of-the-congo/">Sweets and sugars — Fat supply — Value in Democratic Republic of the Congo</a> — Statizoid

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.