Meat β€” Losses in Net Food Importing Developing Countries (NFIDCs)

Net Food Importing Developing Countries (NFIDCs): Meat β€” Losses was 770 1000 t in 2023. β–² Rising

Latest (2023)
770 1000 t
Change on year
up 0.5%
Rank
4th
of 30 groups
All-time high
798 1000 t
in 2019
All-time low
504 1000 t
in 2010
Years of data
14
2010–2023

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

02004006008002010201620232010: 504 1000 t2011: 534 1000 t2012: 658 1000 t2013: 688 1000 t2014: 644 1000 t2015: 662 1000 t2016: 681 1000 t2017: 704 1000 t2018: 747 1000 t2019: 798 1000 t2020: 741 1000 t2021: 742 1000 t2022: 766 1000 t2023: 770 1000 t

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

Analysis

In 2023, meat β€” losses in Net Food Importing Developing Countries (NFIDCs) stood at 770 1000 t.

The figure is up 0.5% on the previous year and up 11.9% over ten years.

Over the whole period, meat β€” losses in Net Food Importing Developing Countries (NFIDCs) peaked at 798 1000 t in 2019 and was at its lowest, 504 1000 t, in 2010.

That places Net Food Importing Developing Countries (NFIDCs) 4th out of 30 groups with data for 2023, putting it in the top quarter.

The long-run direction has been consistently rising across the 14 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2010s 662 1000 t 504 1000 t 798 1000 t 10
2020s 754.75 1000 t 741 1000 t 770 1000 t 4

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

  1. 1 Peru 518 1000 t compare
  2. 2 Argentina 306 1000 t compare
  3. 3 Canada 189 1000 t compare
  4. 4 Thailand 70 1000 t compare
  5. 5 Guatemala 43 1000 t compare
  6. 6 Mongolia 39 1000 t compare
  7. 7 Myanmar 38 1000 t compare

See the full ranking of 84 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 meat β€” losses in Net Food Importing Developing Countries (NFIDCs)?
Meat β€” losses in Net Food Importing Developing Countries (NFIDCs) was 770 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest meat β€” losses recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 798 1000 t in 2019.
What is the lowest meat β€” losses recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was 504 1000 t in 2010.
How does Net Food Importing Developing Countries (NFIDCs) rank for meat β€” losses?
Net Food Importing Developing Countries (NFIDCs) ranks 4th out of 30 groups with data for 2023.
Is meat β€” losses rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is up 11.9%. The long-run trend across the full record is rising.
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 Meat 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
Meat β€” Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
84 places, 980 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.