NationMaster - Correlations > Economy > World Trade > Imports

	Variable	Strength
...and	Economy > Trade with US > US exports of crude oil	85%	[plot \| correlate \| graph]
...and	Media > Newspaper circulation	68%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Tobacco, raw and wastes	66%	[plot \| correlate \| graph]
...and	Labor > Employment rate of lesser educated women (inverse)	49%	[plot \| correlate \| graph]
...and	Economy > Poverty > Share of all poor people	47%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Women girl wear knit croch	45%	[plot \| correlate \| graph]
...and	Education > Teacher qualifications > Share with special training > Age 13 (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Furskins tanned dressed	41%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Attended a demonstration	41%	[plot \| correlate \| graph]
...and	Industry > Heavy truck production	40%	[plot \| correlate \| graph]
...and	Immigration > Foreign population inflow	40%	[plot \| correlate \| graph]
...and	Crime > Bribe payers index (inverse)	39%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 25-34 (inverse)	39%	[plot \| correlate \| graph]
...and	Military > Conventional arms imports	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Man-made fibres nes wast	38%	[plot \| correlate \| graph]
...and	Health > Transplants > Kidney and pancreas	37%	[plot \| correlate \| graph]
...and	Food > Bottled water consumption	37%	[plot \| correlate \| graph]
...and	Crime > Suicide rates in ages 15-24 (inverse)	36%	[plot \| correlate \| graph]
...and	Labor > Unemployment and education > Tertiary	36%	[plot \| correlate \| graph]
...and	Religion > Catholic > Cardinal electors	35%	[plot \| correlate \| graph]
...and	Energy > Nuclear electricity generation	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Articles of apparel nes	34%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of leather and furs	34%	[plot \| correlate \| graph]
...and	Energy > Nuclear reactors uranium required	33%	[plot \| correlate \| graph]
...and	Economy > Tourist arrivals	33%	[plot \| correlate \| graph]
...and	Religion > Catholic > Cardinals	33%	[plot \| correlate \| graph]
...and	Agriculture > Production > Total Coarse Grain	32%	[plot \| correlate \| graph]
...and	Health > SARS fatalities	31%	[plot \| correlate \| graph]
...and	Industry > Motor vehicle production	31%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of other industrial machinery	30%	[plot \| correlate \| graph]
...and	Labor > Unemployment	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Textile yarn	30%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Tertiary (inverse)	30%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Civil service (inverse)	29%	[plot \| correlate \| graph]
...and	Energy > Nuclear reactors operable > MWe	29%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Flat rolled iron steel products	29%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country (inverse)	29%	[plot \| correlate \| graph]
...and	Agriculture > Production > Wheat	28%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Headgear non-textile clothing	28%	[plot \| correlate \| graph]
...and	People > Gender empowerment measure (inverse)	28%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Corn production	28%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Legal system (inverse)	28%	[plot \| correlate \| graph]
...and	Health > Nurses (inverse)	28%	[plot \| correlate \| graph]
...and	Sports > Air Games > Gold Medals	28%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of generators, accessories	27%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Fruit preserved fruit preparations	27%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Zinc	27%	[plot \| correlate \| graph]
...and	Transportation > Cars	26%	[plot \| correlate \| graph]
...and	Health > Transplants > Liver	26%	[plot \| correlate \| graph]
...and	People > Male population > Age 90-94	26%	[plot \| correlate \| graph]
	Average:	36%

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 Furskins tanned/dressed, by country, in thousands USD

SOURCE: International Trade Centre UNCTAD/WTO

Correlations > Economy Statistics > World Trade > Imports > Furskins tanned dressed

Correlations between Economy > World Trade > Imports > Furskins tanned dressed ...

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