Mongolia vs Net Food Importing Developing Countries (NFIDCs): Bovine Meat — Losses

Mongolia
14 1000 t
in 2023
Net Food Importing Developing Countries (NFIDCs)
157 1000 t
in 2023
Mongolia rank
7th
Net Food Importing Developing Countries (NFIDCs) rank
4th

Bovine Meat — Losses over time

  • Mongolia
  • Net Food Importing Developing Countries (NFIDCs)
050100150201020162023

How they compare

Net Food Importing Developing Countries (NFIDCs) currently reports 157 1000 t against 14 1000 t in Mongolia, a difference of 143 1000 t.

That makes Net Food Importing Developing Countries (NFIDCs)'s figure about 11.2 times Mongolia's.

Across all 14 years both countries report, Net Food Importing Developing Countries (NFIDCs) has been ahead every year.

Mongolia ranks 7th and Net Food Importing Developing Countries (NFIDCs) ranks 4th of 35 countries.

Net Food Importing Developing Countries (NFIDCs) has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Mongolia Net Food Importing Developing Countries (NFIDCs) Difference Ahead
2010s 7 1000 t 140.5 1000 t 133.5 1000 t Net Food Importing Developing Countries (NFIDCs)
2020s 12.75 1000 t 153.5 1000 t 140.75 1000 t Net Food Importing Developing Countries (NFIDCs)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher bovine meat — losses, Mongolia or Net Food Importing Developing Countries (NFIDCs)?
Net Food Importing Developing Countries (NFIDCs), at 157 1000 t against 14 1000 t in Mongolia as of 2023.
What is the difference in bovine meat — losses between Mongolia and Net Food Importing Developing Countries (NFIDCs)?
143 1000 t, with Net Food Importing Developing Countries (NFIDCs) ahead.
How many years of comparable data are there for Mongolia and Net Food Importing Developing Countries (NFIDCs)?
14 years are reported by both, from 2010 to 2023.
How do Mongolia and Net Food Importing Developing Countries (NFIDCs) rank globally for bovine meat — losses?
Mongolia ranks 7th and Net Food Importing Developing Countries (NFIDCs) ranks 4th of 35 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Bovine Meat — Losses. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Mongolia vs Net Food Importing Developing Countries (NFIDCs): Bovine Meat — Losses. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 August 2026, from https://agriculture.statizoid.com/compare/bovine-meat-losses/mongolia/net-food-importing-developing-countries-nfidcs/

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About this data

Indicator
Bovine Meat — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
59 places, 728 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.