Barbados vs Hungary: Cotton lint, ginned — Residuals

Barbados
-4 t
in 2023
Hungary
-47 t
in 2023
Barbados rank
154th
Hungary rank
157th

Cotton lint, ginned — Residuals over time

  • Barbados
  • Hungary
-150-100-500201020162023

How they compare

Barbados currently reports -4 t against -47 t in Hungary, a difference of 43 t.

The two have swapped places 3 times across 14 shared years of data; in 2010 it was Hungary ahead.

Barbados ranks 154th and Hungary ranks 157th of 160 countries.

Across the 2 decades both report, Barbados averaged higher in 1 and Hungary in 1.

Head to head by decade

Decade Barbados Hungary Difference Ahead
2010s -20.4 t -0.4 t 20 t Hungary
2020s -3.5 t -46.25 t 42.75 t Barbados

Averages of every year both report within each decade.

Frequently asked questions

Which has higher cotton lint, ginned — residuals, Barbados or Hungary?
Barbados, at -4 t against -47 t in Hungary as of 2023.
What is the difference in cotton lint, ginned — residuals between Barbados and Hungary?
43 t, with Barbados ahead.
How many years of comparable data are there for Barbados and Hungary?
14 years are reported by both, from 2010 to 2023.
How do Barbados and Hungary rank globally for cotton lint, ginned — residuals?
Barbados ranks 154th and Hungary ranks 157th 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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Barbados vs Hungary: Cotton lint, ginned — Residuals. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/compare/cotton-lint-ginned-residuals/barbados/hungary/

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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.