Hungary vs Nigeria: Cotton lint, ginned — Stock Variation

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

Cotton lint, ginned — Stock Variation over time

  • Hungary
  • Nigeria
-10.0k-5.0k05.0k10.0k15.0k201020162023

How they compare

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

The two have swapped places 2 times across 10 shared years of data; in 2014 it was Nigeria ahead.

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

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

Head to head by decade

Decade Hungary Nigeria Difference Ahead
2010s -20.1 t 10,851 t 10,871 t Nigeria
2020s 0 t 0 t 0 t

Averages of every year both report within each decade.

Frequently asked questions

Which has higher cotton lint, ginned — stock variation, Hungary or Nigeria?
Hungary, at 0 t against 0 t in Nigeria as of 2023.
What is the difference in cotton lint, ginned — stock variation between Hungary and Nigeria?
0 t, with Hungary ahead.
How many years of comparable data are there for Hungary and Nigeria?
10 years are reported by both, from 2014 to 2023.
How do Hungary and Nigeria rank globally for cotton lint, ginned — stock variation?
Hungary ranks 19th and Nigeria 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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Hungary vs Nigeria: Cotton lint, ginned — Stock Variation. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 24 August 2026, from https://agriculture.statizoid.com/compare/cotton-lint-ginned-stock-variation/hungary/nigeria/

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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.