NationMaster - Correlations > Economy > World Trade > Imports

	Variable	Strength
...and	Industry > Electrolux CO2 emissions	96%	[plot \| correlate \| graph]
...and	Industry > Electrolux hazardous waste generation	95%	[plot \| correlate \| graph]
...and	Energy > Nuclear reactors under construction > MWe	82%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of pulpwood and woodpulp	74%	[plot \| correlate \| graph]
...and	Energy > Nuclear reactors under construction	74%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of precious metals, other	67%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Wood simply worked	59%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Special transactions nes	58%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Plastic sheets film etc	57%	[plot \| correlate \| graph]
...and	Agriculture > Tractors	56%	[plot \| correlate \| graph]
...and	People > Male population > Age 85-89	54%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of finished textile industrial supplies	54%	[plot \| correlate \| graph]
...and	People > Total population > Age 85-89	53%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Fans filters gas pumps	53%	[plot \| correlate \| graph]
...and	People > Female population > Age 85-89	53%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cine fild developed	52%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Tractors	52%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of sorghum, barley, oats	52%	[plot \| correlate \| graph]
...and	Transportation > Highways > Paved	50%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Pulp and waste paper	50%	[plot \| correlate \| graph]
...and	Economy > Economic importance	49%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Metal machine tool parts	49%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Motorcycles cycles etc	48%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Special yarns fabrics	48%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Nails screws nuts bolts	47%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of pulp and paper machinery	47%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Man-made woven fabrics	46%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Fish, dried salted smoked	46%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Petrol bitum oil, crude	45%	[plot \| correlate \| graph]
...and	Economy > Aid as % of GDP	45%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Vegetables textile fibre excl cot ju	45%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cotton fabrics, woven	45%	[plot \| correlate \| graph]
...and	People > Total population > Age 75-79	44%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79	44%	[plot \| correlate \| graph]
...and	Health > % of population using adequate sanitation facilities > Total (inverse)	44%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Watches and clocks	43%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Woven textile fabric nes	43%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Steam generating boilers	43%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of hair, waste materials	43%	[plot \| correlate \| graph]
...and	People > Female population > Age 95-99	42%	[plot \| correlate \| graph]
...and	Economy > GDP > PPP	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Iron steel bars rods etc	41%	[plot \| correlate \| graph]
...and	People > Total population > Age 95-99	41%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of jewelry watches, rings, etc	41%	[plot \| correlate \| graph]
...and	Education > Universities > Top 500	40%	[plot \| correlate \| graph]
...and	People > Female population > Age 100-104	40%	[plot \| correlate \| graph]
...and	Economy > GDP in 1970	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Meat offal preserved	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Special industrial machines nes	39%	[plot \| correlate \| graph]
...and	People > Total population > Age 80-84	39%	[plot \| correlate \| graph]
	Average:	51%

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 Silk, by country, in thousands USD

SOURCE: International Trade Centre UNCTAD/WTO

Correlations > Economy Statistics > World Trade > Imports > Silk

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

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