Lithuania vs Micronesia: Cotton lint, ginned — Residuals

Lithuania
0 t
in 2023
Micronesia
0 t
in 2023
Lithuania rank
2nd
Micronesia rank
1st

Cotton lint, ginned — Residuals over time

  • Lithuania
  • Micronesia
-60-40-200201020162023

How they compare

Lithuania currently reports 0 t against 0 t in Micronesia, a difference of 0 t.

Across all 14 years both countries report, Micronesia has been ahead every year.

Lithuania ranks 2nd and Micronesia ranks 1st of 160 countries.

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

Head to head by decade

Decade Lithuania Micronesia Difference Ahead
2010s -6.1 t 0 t 6.1 t Micronesia
2020s -0.5 t 0 t 0.5 t Micronesia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher cotton lint, ginned — residuals, Lithuania or Micronesia?
Lithuania, at 0 t against 0 t in Micronesia as of 2023.
What is the difference in cotton lint, ginned — residuals between Lithuania and Micronesia?
0 t, with Lithuania ahead.
How many years of comparable data are there for Lithuania and Micronesia?
14 years are reported by both, from 2010 to 2023.
How do Lithuania and Micronesia rank globally for cotton lint, ginned — residuals?
Lithuania ranks 2nd and Micronesia ranks 1st of 160 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Cotton lint, ginned — Residuals. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Lithuania vs Micronesia: Cotton lint, ginned — Residuals. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 August 2026, from https://agriculture.statizoid.com/compare/cotton-lint-ginned-residuals/lithuania/micronesia/

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About this data

Indicator
Cotton lint, ginned — Residuals
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
208 places, 2,806 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.