NationMaster - Correlations > Economy > Trade with US > US imports of cane and beet sugar

	Variable	Strength
...and	People > Male population > Age 100-104 > % of the total	100%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Professional	91%	[plot \| correlate \| graph]
...and	Environment > Known reptile species	90%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental	86%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Education	83%	[plot \| correlate \| graph]
...and	Agriculture > Production > Soybean	77%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Charity	74%	[plot \| correlate \| graph]
...and	Education > Students living with mother > Age 13 (inverse)	74%	[plot \| correlate \| graph]
...and	Agriculture > Area > Soybean	68%	[plot \| correlate \| graph]
...and	Labor > Foreign labor force	55%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita	52%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions	46%	[plot \| correlate \| graph]
...and	Labor > Total work time > Females	45%	[plot \| correlate \| graph]
...and	Health > Public spending as % of total (inverse)	44%	[plot \| correlate \| graph]
...and	People > Male population > Age 100-104	44%	[plot \| correlate \| graph]
...and	Agriculture > Pesticide use	43%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Middle aged (inverse)	42%	[plot \| correlate \| graph]
...and	Crime > Sentence Length	41%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Corporate income tax	40%	[plot \| correlate \| graph]
...and	Lifestyle > Cannabis use	39%	[plot \| correlate \| graph]
...and	Lifestyle > Political orientation > Far right	38%	[plot \| correlate \| graph]
...and	Industry > Bus production	37%	[plot \| correlate \| graph]
...and	Taxation > Value Added Tax > Professional services (inverse)	35%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition	35%	[plot \| correlate \| graph]
...and	People > Couples with children (inverse)	35%	[plot \| correlate \| graph]
...and	Disasters > Tsunami > Total aid package	34%	[plot \| correlate \| graph]
...and	Health > Obesity	34%	[plot \| correlate \| graph]
...and	Economy > Social security expenditure as % of GDP (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of pulpwood and woodpulp	32%	[plot \| correlate \| graph]
...and	Internet > Secure servers	32%	[plot \| correlate \| graph]
...and	Taxation > Total tax wedge > Single worker (inverse)	31%	[plot \| correlate \| graph]
...and	Crime > Total crime victims	31%	[plot \| correlate \| graph]
...and	Immigration > Foreign population	31%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Joined a boycott	31%	[plot \| correlate \| graph]
...and	Labor > Temporary employment share	30%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Mangoes guavas and mangosteens	30%	[plot \| correlate \| graph]
...and	Lifestyle > Amphetamine use	30%	[plot \| correlate \| graph]
...and	Food > Pork consumption per capita (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of green coffee	29%	[plot \| correlate \| graph]
...and	Education > Students from households with more than 25 books > Age 13 (inverse)	28%	[plot \| correlate \| graph]
...and	Energy > Nuclear reactors planned > MWe	27%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation	27%	[plot \| correlate \| graph]
...and	People > Size of houses	27%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Melons	27%	[plot \| correlate \| graph]
...and	Taxation > Total tax wedge > Single-income family (inverse)	26%	[plot \| correlate \| graph]
...and	Lifestyle > Very proud of their nationality	26%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Social security > Contribution by employer (inverse)	26%	[plot \| correlate \| graph]
...and	Labor > Total work time > Males	26%	[plot \| correlate \| graph]
...and	Agriculture > Production > Total Oilseed	26%	[plot \| correlate \| graph]
...and	Crime > Property crime victims	25%	[plot \| correlate \| graph]
	Average:	43%

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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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: US imports of cane and beet sugar, USD Thousands, 2004

SOURCE: FTDWebMaster, Foreign Trade Division, U.S. Census Bureau

Correlations > Economy Statistics > Trade with US > US imports of cane and beet sugar

Correlations between Economy > Trade with US > US imports of cane and beet sugar ...

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