Russian Federation vs South America: Cotton lint — Import Quantity

Russian Federation
66,511 t
in 2013
South America
131,010 t
in 2013
Russian Federation rank
14th
South America rank
14th

Cotton lint — Import Quantity over time

  • Russian Federation
  • South America
0200.0k400.0k600.0k196119872013

How they compare

South America currently reports 131,010 t against 66,511 t in Russian Federation, a difference of 64,499 t.

That makes South America's figure about 2.0 times Russian Federation's.

The two have swapped places 7 times across 22 shared years of data; in 1992 it was Russian Federation ahead.

Russian Federation ranks 14th and South America ranks 14th of 148 countries.

South America has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Russian Federation South America Difference Ahead
1990s 309,213 t 496,342 t 187,129 t South America
2000s 244,977 t 263,836 t 18,859 t South America
2010s 86,635 t 181,790 t 95,155 t South America

Averages of every year both report within each decade.

Frequently asked questions

Which has higher cotton lint — import quantity, Russian Federation or South America?
South America, at 131,010 t against 66,511 t in Russian Federation as of 2013.
What is the difference in cotton lint — import quantity between Russian Federation and South America?
64,499 t, with South America ahead.
How many years of comparable data are there for Russian Federation and South America?
22 years are reported by both, from 1992 to 2013.
How do Russian Federation and South America rank globally for cotton lint — import quantity?
Russian Federation ranks 14th and South America ranks 14th of 148 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Cotton lint — Import Quantity. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Russian Federation vs South America: Cotton lint — Import Quantity. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 27 August 2026, from https://agriculture.statizoid.com/compare/cotton-lint-import-quantity/russian-federation-2/south-america/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/compare/cotton-lint-import-quantity/russian-federation-2/south-america/">Russian Federation vs South America: Cotton lint — Import Quantity</a> — Statizoid

About this data

Indicator
Cotton lint — Import Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
189 places, 9,072 data points, 1961–2013
Last refreshed

Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.