NationMaster - Correlations > Economy

	Variable	Strength
...and	Lifestyle > Very proud of their nationality	56%	[plot \| correlate \| graph]
...and	Crime > Property crime victims	54%	[plot \| correlate \| graph]
...and	Economy > Export growth	49%	[plot \| correlate \| graph]
...and	Economy > Import growth > Duration 1993-2002	46%	[plot \| correlate \| graph]
...and	Environment > Expenditure pollution control as % of GDP (inverse)	45%	[plot \| correlate \| graph]
...and	Crime > Total crime victims	45%	[plot \| correlate \| graph]
...and	People > Households with more than 5 people	44%	[plot \| correlate \| graph]
...and	People > Male population > Age 25-29 > % of the total	44%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Total population (inverse)	43%	[plot \| correlate \| graph]
...and	People > Total population > Age 25-29 > % of the total	42%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction inequality	42%	[plot \| correlate \| graph]
...and	People > Total population > Age 90-94 > % of the total (inverse)	42%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Females (inverse)	42%	[plot \| correlate \| graph]
...and	People > Size of houses	42%	[plot \| correlate \| graph]
...and	People > Female population > Age 90-94 > % of the total (inverse)	41%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Female (inverse)	41%	[plot \| correlate \| graph]
...and	People > Male population > Age 75-79 > % of the total (inverse)	41%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Female healthy years (inverse)	41%	[plot \| correlate \| graph]
...and	People > Female population > Age 25-29 > % of the total	40%	[plot \| correlate \| graph]
...and	People > Total population > Age 95-99 > % of the total (inverse)	40%	[plot \| correlate \| graph]
...and	People > Female population > Age 95-99 > % of the total (inverse)	40%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Males (inverse)	40%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Healthy years (inverse)	39%	[plot \| correlate \| graph]
...and	Health > Spending > Per person (inverse)	39%	[plot \| correlate \| graph]
...and	Lifestyle > Not proud of their nationality (inverse)	39%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Total population (inverse)	38%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Fruits	37%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Charity	36%	[plot \| correlate \| graph]
...and	People > Total population > Age 75-79 > % of the total (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Females (inverse)	36%	[plot \| correlate \| graph]
...and	People > Female population > Age 85-89 > % of the total (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Male healthy years (inverse)	36%	[plot \| correlate \| graph]
...and	Education > Teacher qualifications > Share with degree > Age 13	36%	[plot \| correlate \| graph]
...and	People > Male population > Age 30-34 > % of the total	35%	[plot \| correlate \| graph]
...and	People > Male population > Age 90-94 > % of the total (inverse)	35%	[plot \| correlate \| graph]
...and	People > Total population > Age 85-89 > % of the total (inverse)	35%	[plot \| correlate \| graph]
...and	People > Total population > Age 30-34 > % of the total	35%	[plot \| correlate \| graph]
...and	Media > Television revenue from subscriptions	34%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Professional	34%	[plot \| correlate \| graph]
...and	People > Female population > Age 30-34 > % of the total	33%	[plot \| correlate \| graph]
...and	Media > Phone subscribers (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > Social security expenditure as % of GDP (inverse)	33%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 45-49 (inverse)	32%	[plot \| correlate \| graph]
...and	People > Male population > Age 70-74 > % of the total (inverse)	32%	[plot \| correlate \| graph]
...and	Crime > Perception of safety > Walking in dark (inverse)	32%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars (inverse)	32%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Males (inverse)	32%	[plot \| correlate \| graph]
...and	Environment > Known reptile species	32%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Male (inverse)	32%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1973 (inverse)	31%	[plot \| correlate \| graph]
	Average:	39%

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: Real imports of goods and services annual growth rate (2002)

SOURCE: OECD

Correlations > Economy Statistics > Import growth

Correlations between Economy > Import growth ...

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