Sugar (Raw Equivalent) β€” Losses in Net Food Importing Developing Countries (NFIDCs)

Net Food Importing Developing Countries (NFIDCs): Sugar (Raw Equivalent) β€” Losses was 5 1000 t in 2023. β—† Volatile

Latest (2023)
5 1000 t
Change on year
up 25.0%
Rank
2nd
of 12 groups
All-time high
54 1000 t
in 2015
All-time low
4 1000 t
in 2020
Years of data
14
2010–2023

Sugar (Raw Equivalent) β€” Losses in Net Food Importing Developing Countries (NFIDCs), 2010–2023

010203040502010201620232010: 47 1000 t2011: 49 1000 t2012: 50 1000 t2013: 53 1000 t2014: 53 1000 t2015: 54 1000 t2016: 48 1000 t2017: 53 1000 t2018: 51 1000 t2019: 6 1000 t2020: 4 1000 t2021: 5 1000 t2022: 4 1000 t2023: 5 1000 t

Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.

Analysis

In 2023, sugar (raw equivalent) β€” losses in Net Food Importing Developing Countries (NFIDCs) stood at 5 1000 t.

Compared with earlier readings it is up 25.0% on the previous year and down 90.6% over ten years.

Over the whole period, sugar (raw equivalent) β€” losses in Net Food Importing Developing Countries (NFIDCs) peaked at 54 1000 t in 2015 and was at its lowest, 4 1000 t, in 2020.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 46.4 1000 t 6 1000 t 54 1000 t 10
2020s 4.5 1000 t 4 1000 t 5 1000 t 4

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

  1. 1 Peru 26 1000 t compare
  2. 2 Dominican Republic 19 1000 t compare
  3. 2 Caribbean 19 1000 t compare
  4. 4 Venezuela (Bolivarian Republic of) 5 1000 t compare
  5. 5 Romania 3 1000 t compare

See the full ranking of 21 places β†’

More agriculture & rural data for Net Food Importing Developing Countries (NFIDCs)

All data for Net Food Importing Developing Countries (NFIDCs) β†’

Frequently asked questions

What is sugar (raw equivalent) β€” losses in Net Food Importing Developing Countries (NFIDCs)?
Sugar (raw equivalent) β€” losses in Net Food Importing Developing Countries (NFIDCs) was 5 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest sugar (raw equivalent) β€” losses recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 54 1000 t in 2015.
What is the lowest sugar (raw equivalent) β€” losses recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was 4 1000 t in 2020.
How does Net Food Importing Developing Countries (NFIDCs) rank for sugar (raw equivalent) β€” losses?
Net Food Importing Developing Countries (NFIDCs) ranks 2nd out of 12 groups with data for 2023.
Is sugar (raw equivalent) β€” losses rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is down 90.6%. The long-run trend across the full record is volatile.
Where does this Net Food Importing Developing Countries (NFIDCs) data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Sugar (Raw Equivalent) β€” Losses. Statizoid updates them automatically from the source API.

Download this data

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

About this data

Indicator
Sugar (Raw Equivalent) β€” Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
21 places, 232 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.