Meat — Losses by country

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...

Countries reporting
36
Highest
518 1000 t
Peru
Lowest
1 1000 t
Belarus
Median
11.5 1000 t
Years covered
14
2010–2023
Data points
1,000

What the numbers show

Meat — Losses is currently reported for 36 countries. The highest value is 518 1000 t in Peru; the lowest is 1 1000 t in Belarus.

The median across all reporting countries is 11.5 1000 t, and the mean is 41.64 1000 t.

The gap between the highest and lowest reporting country is a factor of about 518.

Over the past decade 17 countries rose and 8 fell. The largest increase was in Guatemala (up 437.5%), and the largest decrease in Myanmar (down 71.6%).

Meat — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 Peru 518 1000 t 2023 up 38.5% rising
2 Argentina 306 1000 t 2023 up 15.9% rising
3 Canada 189 1000 t 2023 up 19.6% rising
4 Thailand 70 1000 t 2023 up 14.8% rising
5 Guatemala 43 1000 t 2023 up 437.5% rising
6 Mongolia 39 1000 t 2023 up 105.3% rising
7 Myanmar 38 1000 t 2023 down 71.6% falling
8 Poland 29 1000 t 2023 up 61.1% rising
8 Turkmenistan 29 1000 t 2023 up 7.4% rising
10 Tajikistan 27 1000 t 2023 up 237.5% volatile
11 Iran (Islamic Republic of) 20 1000 t 2023 — volatile
11 Hungary 20 1000 t 2023 up 42.9% rising
13 Venezuela (Bolivarian Republic of) 19 1000 t 2023 down 42.4% falling
14 Kazakhstan 18 1000 t 2023 unchanged rising
15 Russian Federation 17 1000 t 2023 up 54.5% rising
15 Russia 17 1000 t 2023 up 54.5% rising
17 Colombia 14 1000 t 2023 down 17.6% falling
18 Romania 12 1000 t 2023 down 14.3% falling
19 United Arab Emirates 11 1000 t 2023 up 120.0% rising
20 Panama 8 1000 t 2023 unchanged rising
21 Cyprus 7 1000 t 2023 unchanged falling
21 Kyrgyzstan 7 1000 t 2023 up 75.0% rising
21 Lithuania 7 1000 t 2023 up 133.3% rising
24 Qatar 6 1000 t 2023 — falling
25 Germany 4 1000 t 2023 down 20.0% falling
25 Estonia 4 1000 t 2023 down 20.0% volatile
25 Bahrain 4 1000 t 2023 — flat
28 Oman 3 1000 t 2023 unchanged rising
28 Latvia 3 1000 t 2023 up 200.0% volatile
28 Italy 3 1000 t 2023 up 50.0% rising
31 Melanesia 2 1000 t 2023 — volatile
32 Jordan 1 1000 t 2023 — volatile
32 Georgia 1 1000 t 2023 down 50.0% falling
32 Ukraine 1 1000 t 2023 down 50.0% falling
32 Armenia 1 1000 t 2023 unchanged rising
32 Belarus 1 1000 t 2023 unchanged flat

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Meat — Losses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 September 2026, from https://agriculture.statizoid.com/stat/meat-losses/

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About this data

Indicator
Meat — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
86 places, 1,000 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.