Micronesia vs Peru: Cotton lint, ginned — Other uses

Micronesia
0.03 t
in 2022
Peru
58,156 t
in 2023
Micronesia rank
19th
Peru rank
21st

Cotton lint, ginned — Other uses over time

  • Micronesia
  • Peru
025.0k50.0k75.0k100.0k201020162023

How they compare

Peru currently reports 58,156 t against 0.03 t in Micronesia, a difference of 58,156 t.

Across all 5 years both countries report, Peru has been ahead every year.

Micronesia ranks 19th and Peru ranks 21st of 19 groups.

Peru has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Micronesia Peru Difference Ahead
2010s 1.07 t 99,554 t 99,553 t Peru
2020s 0.0733 t 55,330 t 55,330 t Peru

Averages of every year both report within each decade.

Frequently asked questions

Which has higher cotton lint, ginned — other uses, Micronesia or Peru?
Peru, at 58,156 t against 0.03 t in Micronesia as of 2023.
What is the difference in cotton lint, ginned — other uses between Micronesia and Peru?
58,156 t, with Peru ahead.
How many years of comparable data are there for Micronesia and Peru?
5 years are reported by both, from 2011 to 2022.
How do Micronesia and Peru rank globally for cotton lint, ginned — other uses?
Micronesia ranks 19th and Peru ranks 21st of 19 groups.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Cotton lint, ginned — Other uses (non-food). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Micronesia vs Peru: Cotton lint, ginned — Other uses. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 29 August 2026, from https://agriculture.statizoid.com/compare/cotton-lint-ginned-other-uses-non-food/micronesia/peru/

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About this data

Indicator
Cotton lint, ginned — Other uses (non-food)
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
187 places, 2,418 data points, 2010–2023
Last refreshed

Commodity balances (CB) present a comprehensive picture of the pattern of a country's non-food supply during a specified reference period.