NationMaster - Correlations > Lifestyle

	Variable	Strength
...and	Lifestyle > Happiness level > Not very or not at all happy (inverse)	100%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction	76%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60 (inverse)	66%	[plot \| correlate \| graph]
...and	Education > Students from households with computer > Age 13	64%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Very happy	64%	[plot \| correlate \| graph]
...and	Health > Health care funding > Public per capita	61%	[plot \| correlate \| graph]
...and	Crime > Reporting to police	56%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1820	55%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Female (inverse)	53%	[plot \| correlate \| graph]
...and	Health > Digestive disease deaths (inverse)	52%	[plot \| correlate \| graph]
...and	Economy > Comparative price levels	52%	[plot \| correlate \| graph]
...and	Education > Duration of education > Primary level	51%	[plot \| correlate \| graph]
...and	People > Gender empowerment measure	50%	[plot \| correlate \| graph]
...and	People > Male population > Age 85-89 > % of the total	50%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country	49%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Homosexuals (inverse)	49%	[plot \| correlate \| graph]
...and	Economy > Infrastructure	49%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Male	48%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars	47%	[plot \| correlate \| graph]
...and	Education > Reading literacy	47%	[plot \| correlate \| graph]
...and	People > Male population > Age 90-94 > % of the total	46%	[plot \| correlate \| graph]
...and	Education > Mathematical literacy	46%	[plot \| correlate \| graph]
...and	Health > Per capita government expenditure on health in international dollars	46%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > Starting	45%	[plot \| correlate \| graph]
...and	Health > Spending > Per person	45%	[plot \| correlate \| graph]
...and	Health > Health care funding > Total per capita	44%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment (inverse)	43%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Male healthy years	43%	[plot \| correlate \| graph]
...and	People > Total population > Age 90-94 > % of the total	42%	[plot \| correlate \| graph]
...and	Media > Fax machines	42%	[plot \| correlate \| graph]
...and	Energy > Oil Refinery capacities > Thousand barrels daily (inverse)	42%	[plot \| correlate \| graph]
...and	Energy > Oil Refinery capacities > Thousand barrels daily > Share of total (inverse)	42%	[plot \| correlate \| graph]
...and	People > Total population > Age 85-89 > % of the total	41%	[plot \| correlate \| graph]
...and	Health > Child injury death index (inverse)	41%	[plot \| correlate \| graph]
...and	Media > Telecommunications employment	39%	[plot \| correlate \| graph]
...and	Labor > Employment rate of highly educated women	39%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Total Oilseed	39%	[plot \| correlate \| graph]
...and	People > Sex ratio > 15-64 years	39%	[plot \| correlate \| graph]
...and	People > Female population > Age 90-94 > % of the total	39%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Barley	39%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1900	39%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Female (inverse)	39%	[plot \| correlate \| graph]
...and	Health > Teen birth rate (inverse)	38%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > Starting; ratio to GDP per capita	38%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > After 15 years	38%	[plot \| correlate \| graph]
...and	Media > Phone subscribers	38%	[plot \| correlate \| graph]
...and	Labor > Unemployment and education > Tertiary (inverse)	38%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for males	38%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Males (inverse)	37%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1950	37%	[plot \| correlate \| graph]
	Average:	47%

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: This statistic is compiled from responses to the survey question: "Taking all things together, would you say you are: very happy, quite happy, not very happy, or not at all happy?". The "Happiness (net)" statistic was obtained via the following formula: the percentage of people who rated themselves as either "quite happy" or "very happy" minus the percentage of people who rated themselves as either "not very happy" or "not at all happy".

SOURCE: World Values Survey 2005

Correlations > Lifestyle Statistics > Happiness net

Correlations between Lifestyle > Happiness net ...

About Correlations:

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NOTES:

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