Coconuts - Incl Copra — Stock Variation in World

World: Coconuts - Incl Copra — Stock Variation was 333 1000 t in 2023. ◆ Volatile

Latest (2023)
333 1000 t
Change on year
up 2,120.0%
Rank
1st
of 31 groups
All-time high
526 1000 t
in 2021
All-time low
-1,524 1000 t
in 2012
Years of data
14
2010–2023

Coconuts - Incl Copra — Stock Variation in World, 2010–2023

-1.5k-1.0k-50005002010201620232010: -992 1000 t2011: -914 1000 t2012: -1.5k 1000 t2013: -1.1k 1000 t2014: 317 1000 t2015: 317 1000 t2016: 265 1000 t2017: 498 1000 t2018: 194 1000 t2019: 178 1000 t2020: 485 1000 t2021: 526 1000 t2022: 15 1000 t2023: 333 1000 t

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

Analysis

In 2023, coconuts - incl copra — stock variation in World stood at 333 1000 t.

The figure is up 2,120.0% on the previous year and up 131.0% over ten years.

Over the whole period, coconuts - incl copra — stock variation in World peaked at 526 1000 t in 2021 and was at its lowest, -1,524 1000 t, in 2012.

That places World 1st out of 31 groups with data for 2023, putting it 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 -273.4 1000 t -1,524 1000 t 498 1000 t 10
2020s 339.75 1000 t 15 1000 t 526 1000 t 4

Countries ranked near World

  1. 1 Papua New Guinea 170 1000 t compare
  2. 2 Melanesia 164 1000 t compare
  3. 3 Sri Lanka 96 1000 t compare
  4. 4 Bangladesh 22 1000 t compare

See the full ranking of 203 places →

More agriculture & rural data for World

All data for World →

Frequently asked questions

What is coconuts - incl copra — stock variation in World?
Coconuts - incl copra — stock variation in World was 333 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest coconuts - incl copra — stock variation recorded in World?
The highest recorded value was 526 1000 t in 2021.
What is the lowest coconuts - incl copra — stock variation recorded in World?
The lowest recorded value was -1,524 1000 t in 2012.
How does World rank for coconuts - incl copra — stock variation?
World ranks 1st out of 31 groups with data for 2023.
Is coconuts - incl copra — stock variation rising or falling in World?
Over the last ten years it is up 131.0%. The long-run trend across the full record is volatile.
Where does this World data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Coconuts - Incl Copra — 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
Coconuts - Incl Copra — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
203 places, 2,703 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.