Americas vs Lithuania: Cotton lint, ginned — Residuals

Americas
-4 t
in 2023
Lithuania
0 t
in 2023
Americas rank
5th
Lithuania rank
2nd

Cotton lint, ginned — Residuals over time

  • Americas
  • Lithuania
-1.5k-1.0k-5000201020162023

How they compare

Lithuania currently reports 0 t against -4 t in Americas, a difference of 4 t.

The two have swapped places 4 times across 14 shared years of data; in 2010 it was Lithuania ahead.

Americas ranks 5th and Lithuania ranks 2nd of 10 groups.

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

Head to head by decade

Decade Americas Lithuania Difference Ahead
2010s -203 t -6.1 t 196.9 t Lithuania
2020s -120.75 t -0.5 t 120.25 t Lithuania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher cotton lint, ginned — residuals, Americas or Lithuania?
Lithuania, at 0 t against -4 t in Americas as of 2023.
What is the difference in cotton lint, ginned — residuals between Americas and Lithuania?
4 t, with Lithuania ahead.
How many years of comparable data are there for Americas and Lithuania?
14 years are reported by both, from 2010 to 2023.
How do Americas and Lithuania rank globally for cotton lint, ginned — residuals?
Americas ranks 5th and Lithuania ranks 2nd of 10 groups.
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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Americas vs Lithuania: Cotton lint, ginned — Residuals. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 20 August 2026, from https://agriculture.statizoid.com/compare/cotton-lint-ginned-residuals/americas/lithuania/

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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.