Offals — Stock Variation in Germany

Germany: Offals — Stock Variation was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
World rank
1st
of 16 countries
All-time high
21 1000 t
in 2010
All-time low
-15 1000 t
in 2013
Years of data
14
2010–2023

Offals — Stock Variation in Germany, 2010–2023

-20-10010202010201620232010: 21 1000 t2011: 1 1000 t2012: -12 1000 t2013: -15 1000 t2014: 0 1000 t2015: 0 1000 t2016: 0 1000 t2017: 0 1000 t2018: 0 1000 t2019: 0 1000 t2020: 0 1000 t2021: 0 1000 t2022: 0 1000 t2023: 0 1000 t

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

Analysis

In 2023, offals — stock variation in Germany stood at 0 1000 t.

That represents a change of up 100.0% over ten years.

Over the whole period, offals — stock variation in Germany peaked at 21 1000 t in 2010 and was at its lowest, -15 1000 t, in 2013.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s -0.5 1000 t -15 1000 t 21 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Germany

  1. 1 Seychelles 0 1000 t compare
  2. 1 Estonia 0 1000 t compare
  3. 1 Belarus 0 1000 t compare
  4. 1 Chile 0 1000 t compare
  5. 1 Croatia 0 1000 t compare
  6. 1 Netherlands (Kingdom of the) 0 1000 t compare
  7. 1 Belgium 0 1000 t compare
  8. 1 Romania 0 1000 t compare
  9. 1 Russian Federation 0 1000 t compare
  10. 1 Austria 0 1000 t compare
  11. 1 France 0 1000 t compare
  12. 1 Morocco 0 1000 t compare
  13. 1 Fiji 0 1000 t compare
  14. 1 Mexico 0 1000 t compare
  15. 1 Melanesia 0 1000 t compare

See the full ranking of 32 places →

More agriculture & rural data for Germany

All data for Germany →

Frequently asked questions

What is offals — stock variation in Germany?
Offals — stock variation in Germany was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest offals — stock variation recorded in Germany?
The highest recorded value was 21 1000 t in 2010.
What is the lowest offals — stock variation recorded in Germany?
The lowest recorded value was -15 1000 t in 2013.
How does Germany rank for offals — stock variation?
Germany ranks 1st out of 16 countries with data for 2023.
Is offals — stock variation rising or falling in Germany?
Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
Where does this Germany data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Offals — Stock Variation. Statizoid updates them automatically from the source API.

Download this data

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

About this data

Indicator
Offals — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
32 places, 364 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.