Oilcrops — Losses in Russian Federation

Russian Federation: Oilcrops — Losses was 1,449 1000 t in 2023. ▲ Rising

Latest (2023)
1,449 1000 t
Change on year
up 4.5%
World rank
6th
of 177 countries
All-time high
1,449 1000 t
in 2023
All-time low
352 1000 t
in 2010
Years of data
14
2010–2023

Oilcrops — Losses in Russian Federation, 2010–2023

2505007501.0k1.2k1.5k2010201620232010: 352 1000 t2011: 535 1000 t2012: 537 1000 t2013: 577 1000 t2014: 680 1000 t2015: 747 1000 t2016: 882 1000 t2017: 833 1000 t2018: 983 1000 t2019: 1.2k 1000 t2020: 1.1k 1000 t2021: 1.3k 1000 t2022: 1.4k 1000 t2023: 1.4k 1000 t

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

Analysis

In 2023, oilcrops — losses in Russian Federation stood at 1,449 1000 t. That is the highest value across all 14 years on record.

Compared with earlier readings it is up 4.5% on the previous year and up 151.1% over ten years.

Over the whole period, oilcrops — losses in Russian Federation peaked at 1,449 1000 t in 2023 and was at its lowest, 352 1000 t, in 2010.

Russian Federation ranks 6th of 177 countries on this measure, in the top 10%.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 730.6 1000 t 352 1000 t 1,180 1000 t 10
2020s 1,288 1000 t 1,061 1000 t 1,449 1000 t 4

Countries ranked near Russian Federation

  1. 3 India 4,509 1000 t compare
  2. 4 China 3,611 1000 t compare
  3. 5 China, mainland 3,603 1000 t compare
  4. 7 Malaysia 1,365 1000 t compare
  5. 8 France 787 1000 t compare
  6. 9 Ghana 765 1000 t compare

See the full ranking of 208 places →

More agriculture & rural data for Russian Federation

All data for Russian Federation →

Frequently asked questions

What is oilcrops — losses in Russian Federation?
Oilcrops — losses in Russian Federation was 1,449 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest oilcrops — losses recorded in Russian Federation?
The highest recorded value was 1,449 1000 t in 2023.
What is the lowest oilcrops — losses recorded in Russian Federation?
The lowest recorded value was 352 1000 t in 2010.
How does Russian Federation rank for oilcrops — losses?
Russian Federation ranks 6th out of 177 countries with data for 2023.
Is oilcrops — losses rising or falling in Russian Federation?
Over the last ten years it is up 151.1%. The long-run trend across the full record is rising.
Where does this Russian Federation data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Oilcrops — Losses. Statizoid updates them automatically from the source API.

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Oilcrops — Losses in Russian Federation. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/oilcrops-losses-2/russian-federation-2/

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About this data

Indicator
Oilcrops — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
208 places, 2,819 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.