Australia vs Latvia: Cotton lint, ginned — Residuals

Australia
0 t
in 2023
Latvia
0 t
in 2023
Australia rank
2nd
Latvia rank
2nd

Cotton lint, ginned — Residuals over time

  • Australia
  • Latvia
-300.0k-200.0k-100.0k0201020162023

How they compare

Australia currently reports 0 t against 0 t in Latvia, a difference of 0 t.

The two have swapped places 2 times across 14 shared years of data; in 2010 it was Latvia ahead.

Australia ranks 2nd and Latvia ranks 2nd of 160 countries.

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

Head to head by decade

Decade Australia Latvia Difference Ahead
2010s -94,281 t -9.3 t 94,272 t Latvia
2020s -44,274 t 0 t 44,274 t Latvia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher cotton lint, ginned — residuals, Australia or Latvia?
Australia, at 0 t against 0 t in Latvia as of 2023.
What is the difference in cotton lint, ginned — residuals between Australia and Latvia?
0 t, with Australia ahead.
How many years of comparable data are there for Australia and Latvia?
14 years are reported by both, from 2010 to 2023.
How do Australia and Latvia rank globally for cotton lint, ginned — residuals?
Australia ranks 2nd and Latvia ranks 2nd 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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Australia vs Latvia: Cotton lint, ginned — Residuals. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 25 August 2026, from https://agriculture.statizoid.com/compare/cotton-lint-ginned-residuals/australia/latvia/

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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.