Starchy Roots — Stock Variation in Asia

Asia: Starchy Roots — Stock Variation was 6,277 1000 t in 2023. ◆ Volatile

Latest (2023)
6,277 1000 t
Change on year
up 50.5%
Rank
2nd
of 31 groups
All-time high
6,277 1000 t
in 2023
All-time low
-6,413 1000 t
in 2014
Years of data
14
2010–2023

Starchy Roots — Stock Variation in Asia, 2010–2023

-5.0k05.0k2010201620232010: -5.9k 1000 t2011: 4.2k 1000 t2012: -2.0k 1000 t2013: -2.7k 1000 t2014: -6.4k 1000 t2015: 2.3k 1000 t2016: -251 1000 t2017: -1.6k 1000 t2018: 1.9k 1000 t2019: 1.2k 1000 t2020: 6.2k 1000 t2021: 5.9k 1000 t2022: 4.2k 1000 t2023: 6.3k 1000 t

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

Analysis

Asia recorded 6,277 1000 t for starchy roots — stock variation in 2023. That is the highest value across all 14 years on record.

That represents a change of up 50.5% on the previous year and up 328.9% over ten years.

Over the whole period, starchy roots — stock variation in Asia peaked at 6,277 1000 t in 2023 and was at its lowest, -6,413 1000 t, in 2014.

Asia ranks 2nd of 31 groups 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 -922.1 1000 t -6,413 1000 t 4,223 1000 t 10
2020s 5,634 1000 t 4,170 1000 t 6,277 1000 t 4

Countries ranked near Asia

  1. 1 China 4,044 1000 t compare
  2. 2 China, mainland 4,008 1000 t compare
  3. 3 United Republic of Tanzania 1,600 1000 t compare
  4. 4 Lao People's Democratic Republic 1,394 1000 t compare
  5. 5 Ghana 1,029 1000 t compare

See the full ranking of 213 places →

More agriculture & rural data for Asia

All data for Asia →

Frequently asked questions

What is starchy roots — stock variation in Asia?
Starchy roots — stock variation in Asia was 6,277 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest starchy roots — stock variation recorded in Asia?
The highest recorded value was 6,277 1000 t in 2023.
What is the lowest starchy roots — stock variation recorded in Asia?
The lowest recorded value was -6,413 1000 t in 2014.
How does Asia rank for starchy roots — stock variation?
Asia ranks 2nd out of 31 groups with data for 2023.
Is starchy roots — stock variation rising or falling in Asia?
Over the last ten years it is up 328.9%. The long-run trend across the full record is volatile.
Where does this Asia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Starchy Roots — 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
Starchy Roots — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,901 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.