Oranges, Mandarines — Stock Variation in Czechia

Czechia: Oranges, Mandarines — Stock Variation was 22 1000 t in 2023. ◆ Volatile

Latest (2023)
22 1000 t
Change on year
down 26.7%
World rank
4th
of 173 countries
All-time high
108 1000 t
in 2016
All-time low
9 1000 t
in 2017
Years of data
10
2014–2023

Oranges, Mandarines — Stock Variation in Czechia, 2014–2023

0204060801002014201820232014: 58 1000 t2015: 54 1000 t2016: 108 1000 t2017: 9 1000 t2018: 37 1000 t2019: 18 1000 t2020: 26 1000 t2021: 36 1000 t2022: 30 1000 t2023: 22 1000 t

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

Analysis

The most recent figure for oranges, mandarines — stock variation in Czechia is 22 1000 t, measured in 2023.

That represents a change of down 26.7% on the previous year and down 62.1% over ten years.

Over the whole period, oranges, mandarines — stock variation in Czechia peaked at 108 1000 t in 2016 and was at its lowest, 9 1000 t, in 2017.

Czechia ranks 4th of 173 countries on this measure, in the top 10%.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 47.33 1000 t 9 1000 t 108 1000 t 6
2020s 28.5 1000 t 22 1000 t 36 1000 t 4

Countries ranked near Czechia

  1. 1 Brazil 443 1000 t compare
  2. 2 Republic of Korea 68 1000 t compare
  3. 3 Mexico 30 1000 t compare
  4. 5 China 21 1000 t compare
  5. 6 Thailand 19 1000 t compare
  6. 7 Bulgaria 18 1000 t compare

See the full ranking of 204 places →

More agriculture & rural data for Czechia

All data for Czechia →

Frequently asked questions

What is oranges, mandarines — stock variation in Czechia?
Oranges, mandarines — stock variation in Czechia was 22 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest oranges, mandarines — stock variation recorded in Czechia?
The highest recorded value was 108 1000 t in 2016.
What is the lowest oranges, mandarines — stock variation recorded in Czechia?
The lowest recorded value was 9 1000 t in 2017.
How does Czechia rank for oranges, mandarines — stock variation?
Czechia ranks 4th out of 173 countries with data for 2023.
Is oranges, mandarines — stock variation rising or falling in Czechia?
Over the last ten years it is down 62.1%. The long-run trend across the full record is volatile.
Where does this Czechia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Oranges, Mandarines — Stock Variation. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 10 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

About this data

Indicator
Oranges, Mandarines — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
204 places, 2,728 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.