Palm kernels — Stock Variation in Guatemala

Guatemala: Palm kernels — Stock Variation was 137 1000 t in 2023. ◆ Volatile

Latest (2023)
137 1000 t
Change on year
down 72.9%
World rank
8th
of 58 countries
All-time high
505 1000 t
in 2022
All-time low
-259 1000 t
in 2016
Years of data
14
2010–2023

Palm kernels — Stock Variation in Guatemala, 2010–2023

-20002004006002010201620232010: -13 1000 t2011: -18 1000 t2012: -20 1000 t2013: -50 1000 t2014: -196 1000 t2015: 263 1000 t2016: -259 1000 t2017: -37 1000 t2018: -44 1000 t2019: -23 1000 t2020: 0 1000 t2021: 16 1000 t2022: 505 1000 t2023: 137 1000 t

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

Analysis

In 2023, palm kernels — stock variation in Guatemala stood at 137 1000 t.

That represents a change of down 72.9% on the previous year and up 374.0% over ten years.

Over the whole period, palm kernels — stock variation in Guatemala peaked at 505 1000 t in 2022 and was at its lowest, -259 1000 t, in 2016.

That places Guatemala 8th out of 58 countries with data for 2023, putting it in the top quarter.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s -39.7 1000 t -259 1000 t 263 1000 t 10
2020s 164.5 1000 t 0 1000 t 505 1000 t 4

Countries ranked near Guatemala

  1. 5 Democratic Republic of the Congo 218 1000 t compare
  2. 6 Nigeria 201 1000 t compare
  3. 7 Colombia 177 1000 t compare
  4. 9 Peru 136 1000 t compare
  5. 10 Cambodia 108 1000 t compare
  6. 11 Melanesia 96 1000 t compare

See the full ranking of 78 places →

More agriculture & rural data for Guatemala

All data for Guatemala →

Frequently asked questions

What is palm kernels — stock variation in Guatemala?
Palm kernels — stock variation in Guatemala was 137 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest palm kernels — stock variation recorded in Guatemala?
The highest recorded value was 505 1000 t in 2022.
What is the lowest palm kernels — stock variation recorded in Guatemala?
The lowest recorded value was -259 1000 t in 2016.
How does Guatemala rank for palm kernels — stock variation?
Guatemala ranks 8th out of 58 countries with data for 2023.
Is palm kernels — stock variation rising or falling in Guatemala?
Over the last ten years it is up 374.0%. The long-run trend across the full record is volatile.
Where does this Guatemala data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Palm kernels — 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
Palm kernels — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
78 places, 1,019 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.