NationMaster - Correlations > Economy > World Trade > Imports

	Variable	Strength
...and	Agriculture > Cotton imports	95%	[plot \| correlate \| graph]
...and	Language > English speakers	90%	[plot \| correlate \| graph]
...and	People > Male population > Age 100-104	81%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of cotton, raw	73%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of crude oil	72%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country (inverse)	66%	[plot \| correlate \| graph]
...and	People > Gender empowerment measure (inverse)	65%	[plot \| correlate \| graph]
...and	Health > Births by caesarean section	63%	[plot \| correlate \| graph]
...and	People > Male population > Age 95-99	61%	[plot \| correlate \| graph]
...and	Media > Newspapers	59%	[plot \| correlate \| graph]
...and	People > Total population > Age 100-104	58%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Men boy wear knit croch	55%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Potatoes	52%	[plot \| correlate \| graph]
...and	Military > Manpower > Fit for military service > Males age 15-49	52%	[plot \| correlate \| graph]
...and	People > Male population > Age 90-94	50%	[plot \| correlate \| graph]
...and	Education > Students from households with study desk > Age 13 (inverse)	49%	[plot \| correlate \| graph]
...and	People > Female population > Age 100-104	49%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for females (inverse)	48%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1820 (inverse)	47%	[plot \| correlate \| graph]
...and	Labor > Working time to buy milk	46%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Made-up textile articles	45%	[plot \| correlate \| graph]
...and	Democracy > Presidential elections > Voter registration	45%	[plot \| correlate \| graph]
...and	People > Male population > Age 85-89	44%	[plot \| correlate \| graph]
...and	Health > Nurses (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Mens boys wear, woven	42%	[plot \| correlate \| graph]
...and	People > Female population > Age 30-34	42%	[plot \| correlate \| graph]
...and	People > Total population > Age 95-99	42%	[plot \| correlate \| graph]
...and	People > Total population > Age 30-34	41%	[plot \| correlate \| graph]
...and	Democracy > Parliamentary elections > Total vote	41%	[plot \| correlate \| graph]
...and	Immigration > Foreign population inflow	41%	[plot \| correlate \| graph]
...and	People > Male population > Age 30-34	41%	[plot \| correlate \| graph]
...and	People > Female population > Age 25-29	40%	[plot \| correlate \| graph]
...and	Media > Telecommunications employment (inverse)	40%	[plot \| correlate \| graph]
...and	People > Total population > Age 25-29	40%	[plot \| correlate \| graph]
...and	People > Male population > Age 25-29	40%	[plot \| correlate \| graph]
...and	Economy > Child poverty	40%	[plot \| correlate \| graph]
...and	People > Female population > Age 20-24	39%	[plot \| correlate \| graph]
...and	Democracy > Presidential elections > Total vote	39%	[plot \| correlate \| graph]
...and	People > Total population > Age 20-24	39%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Civil service (inverse)	39%	[plot \| correlate \| graph]
...and	People > Male population > Age 20-24	39%	[plot \| correlate \| graph]
...and	People > Male population > Age 80-84	39%	[plot \| correlate \| graph]
...and	Military > Navy personnel	39%	[plot \| correlate \| graph]
...and	Democracy > Presidential elections > Voting age population	39%	[plot \| correlate \| graph]
...and	Military > Armed forces personnel	38%	[plot \| correlate \| graph]
...and	People > Total population > Age 90-94	38%	[plot \| correlate \| graph]
...and	People > Female population > Age 35-39	38%	[plot \| correlate \| graph]
...and	Crime > Assault victims (inverse)	38%	[plot \| correlate \| graph]
...and	People > Total population > Age 35-39	38%	[plot \| correlate \| graph]
...and	People > Female population > Age 15-19	38%	[plot \| correlate \| graph]
	Average:	49%

About Correlations:

A correlation is a statistical measure of similarity between at least two given sets of data. NationMaster's correlations compare two variables from our database and reveal statistical relationships between them. The percentages you see represent the strength (or likelihood) that a change in the topic variable is matched by a change in the listed variables below it. But remember: These correlations do not imply causation, that is, one does not necessarily cause the other. Also, not all variables contain all countries, rather subsets of countries matched together.

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Detailed correlation information
Map & Graph: countries ranked

NOTES:

Outliers have been removed only where they are outside 3 standard deviations of the mean.
Only variable pairs where at least 15 countries match for each have been considered.
Strength is given by the correlation coefficient (R squared). It is the fraction of variation in Y that can be attributed to the variation in X. 100% signifies a perfect fit (R squared of 1). The top 50 such stats are displayed

DEFINITION: Imports of Cotton, by country, in thousands USD

SOURCE: International Trade Centre UNCTAD/WTO

Correlations > Economy Statistics > World Trade > Imports > Cotton

Correlations between Economy > World Trade > Imports > Cotton ...

About Correlations:

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NOTES:

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