NationMaster - Correlations > Economy > World Trade > Imports

	Variable	Strength
...and	People > Total population > Age 85-89	63%	[plot \| correlate \| graph]
...and	People > Female population > Age 85-89	63%	[plot \| correlate \| graph]
...and	People > Male population > Age 85-89	63%	[plot \| correlate \| graph]
...and	Economy > GDP in 1970	59%	[plot \| correlate \| graph]
...and	Economy > Economic importance	58%	[plot \| correlate \| graph]
...and	Immigration > Foreign population inflow	54%	[plot \| correlate \| graph]
...and	Energy > Electric generation ability	52%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Oats production	51%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Press	51%	[plot \| correlate \| graph]
...and	Economy > Imports > Merchandise	51%	[plot \| correlate \| graph]
...and	Economy > Imports > Commercial services	51%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Sulphur unroastd pyrites	49%	[plot \| correlate \| graph]
...and	Disasters > Funds commited to Tsunami aid	49%	[plot \| correlate \| graph]
...and	Economy > Exports > Merchandise	49%	[plot \| correlate \| graph]
...and	Economy > Exports > Commercial services	49%	[plot \| correlate \| graph]
...and	Energy > Oil imports > Net	48%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Base metal ore conc nes	47%	[plot \| correlate \| graph]
...and	Education > Universities > Top 500	47%	[plot \| correlate \| graph]
...and	Health > Teenage pregnancy	46%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Potatoes	45%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Articles of rubber nes	45%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Natural rubber latex etc	45%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Hydrocarbons derivatives	43%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Nickel-ferrum base metal waste nes	43%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country (inverse)	43%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Baby care toys games sport	43%	[plot \| correlate \| graph]
...and	People > Female population > Age 100-104	42%	[plot \| correlate \| graph]
...and	People > Total population > Age 100-104	42%	[plot \| correlate \| graph]
...and	Health > Transplants > Heart	41%	[plot \| correlate \| graph]
...and	Energy > Natural Gas Consumption > Billion cubic feet per day	41%	[plot \| correlate \| graph]
...and	Energy > Natural Gas Consumption > Billion cubic metres	41%	[plot \| correlate \| graph]
...and	Energy > Natural Gas Consumption > Million tonnes oil equivalent	41%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Steam generating boilers	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Electrical power transmission equipment	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Worn clothing etc	40%	[plot \| correlate \| graph]
...and	Food > McDonalds restaurants	39%	[plot \| correlate \| graph]
...and	People > Child Protection > Child labour 5-14 years, % of female	39%	[plot \| correlate \| graph]
...and	Energy > Natural Gas Consumption > Million tonnes oil equivalent > Share of total	39%	[plot \| correlate \| graph]
...and	Energy > Natural Gas Consumption > Billion cubic metres > Share of total	39%	[plot \| correlate \| graph]
...and	Disasters > Tsunami > Funds pledged	39%	[plot \| correlate \| graph]
...and	People > Female population > Age 95-99	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Rubber synthetic waste etc	39%	[plot \| correlate \| graph]
...and	People > Child Protection > Child labour 5-14 years, % of total	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Materials of rubber	39%	[plot \| correlate \| graph]
...and	Disasters > Funds committed to emergency Tsunami aid	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Alcohols phenols derivatives	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Spices	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Styrene primary polymers	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Residual petrol products	38%	[plot \| correlate \| graph]
...and	Internet > Linux web servers	38%	[plot \| correlate \| graph]
	Average:	45%

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 Worn clothing etc, by country, in thousands USD

SOURCE: International Trade Centre UNCTAD/WTO

Correlations > Economy Statistics > World Trade > Imports > Worn clothing etc

Correlations between Economy > World Trade > Imports > Worn clothing etc ...

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