Belarus vs Hungary: Cotton lint, ginned — Stock Variation

Belarus
0 t
in 2023
Hungary
0 t
in 2023
Belarus rank
19th
Hungary rank
19th

Cotton lint, ginned — Stock Variation over time

  • Belarus
  • Hungary
-1.5k-1.0k-5000500201020162023

How they compare

Belarus currently reports 0 t against 0 t in Hungary, a difference of 0 t.

Across all 10 years both countries report, Hungary has been ahead every year.

Belarus ranks 19th and Hungary ranks 19th of 153 countries.

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

Head to head by decade

Decade Belarus Hungary Difference Ahead
2010s -435.45 t -20.1 t 415.35 t Hungary
2020s -163.25 t 0 t 163.25 t Hungary

Averages of every year both report within each decade.

Frequently asked questions

Which has higher cotton lint, ginned — stock variation, Belarus or Hungary?
Belarus, at 0 t against 0 t in Hungary as of 2023.
What is the difference in cotton lint, ginned — stock variation between Belarus and Hungary?
0 t, with Belarus ahead.
How many years of comparable data are there for Belarus and Hungary?
10 years are reported by both, from 2014 to 2023.
How do Belarus and Hungary rank globally for cotton lint, ginned — stock variation?
Belarus ranks 19th and Hungary ranks 19th of 153 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Cotton lint, ginned — Stock Variation. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Belarus vs Hungary: Cotton lint, ginned — Stock Variation. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 20 August 2026, from https://agriculture.statizoid.com/compare/cotton-lint-ginned-stock-variation/belarus/hungary/

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About this data

Indicator
Cotton lint, ginned — Stock Variation
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
201 places, 2,195 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.