Argentina vs Sudan (former): Wool (Clean Eq.) — Other uses

Argentina
58,002 t
in 2013
Sudan (former)
80,200 t
in 2011
Argentina rank
11th
Sudan (former) rank
8th

Wool (Clean Eq.) — Other uses over time

  • Argentina
  • Sudan (former)
050.0k100.0k150.0k200.0k196119872013

How they compare

Sudan (former) currently reports 80,200 t against 58,002 t in Argentina, a difference of 22,198 t.

That makes Sudan (former)'s figure about 1.4 times Argentina's.

The two have swapped places 5 times across 51 shared years of data; in 1961 it was Argentina ahead.

Argentina ranks 11th and Sudan (former) ranks 8th of 128 countries.

Across the 6 decades both report, Argentina averaged higher in 5 and Sudan (former) in 1.

Head to head by decade

Decade Argentina Sudan (former) Difference Ahead
1960s 159,060 t 12,596 t 146,464 t Argentina
1970s 171,598 t 18,548 t 153,051 t Argentina
1980s 165,177 t 22,380 t 142,797 t Argentina
1990s 107,804 t 52,200 t 55,604 t Argentina
2000s 81,841 t 73,721 t 8,121 t Argentina
2010s 64,460 t 80,200 t 15,740 t Sudan (former)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wool (clean eq.) — other uses, Argentina or Sudan (former)?
Sudan (former), at 80,200 t against 58,002 t in Argentina as of 2011.
What is the difference in wool (clean eq.) — other uses between Argentina and Sudan (former)?
22,198 t, with Sudan (former) ahead.
How many years of comparable data are there for Argentina and Sudan (former)?
51 years are reported by both, from 1961 to 2011.
How do Argentina and Sudan (former) rank globally for wool (clean eq.) — other uses?
Argentina ranks 11th and Sudan (former) ranks 8th of 128 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Wool (Clean Eq.) — Other uses (non-food). 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

Argentina vs Sudan (former): Wool (Clean Eq.) — Other uses. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 31 August 2026, from https://agriculture.statizoid.com/compare/wool-clean-eq-other-uses-non-food/argentina/sudan-former/

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/wool-clean-eq-other-uses-non-food/argentina/sudan-former/">Argentina vs Sudan (former): Wool (Clean Eq.) — Other uses</a> — Statizoid

About this data

Indicator
Wool (Clean Eq.) — Other uses (non-food)
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
167 places, 7,797 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.