NationMaster - Correlations > Lifestyle > Happiness level

	Variable	Strength
...and	Lifestyle > Happiness net (inverse)	100%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction (inverse)	76%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60	67%	[plot \| correlate \| graph]
...and	Education > Students from households with computer > Age 13 (inverse)	65%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Very happy (inverse)	64%	[plot \| correlate \| graph]
...and	Health > Health care funding > Public per capita (inverse)	61%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1820 (inverse)	55%	[plot \| correlate \| graph]
...and	Crime > Reporting to police (inverse)	55%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Female	53%	[plot \| correlate \| graph]
...and	Health > Digestive disease deaths	53%	[plot \| correlate \| graph]
...and	Economy > Comparative price levels (inverse)	52%	[plot \| correlate \| graph]
...and	People > Gender empowerment measure (inverse)	52%	[plot \| correlate \| graph]
...and	Education > Duration of education > Primary level (inverse)	51%	[plot \| correlate \| graph]
...and	People > Male population > Age 85-89 > % of the total (inverse)	50%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country (inverse)	50%	[plot \| correlate \| graph]
...and	Economy > Infrastructure (inverse)	49%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Homosexuals	49%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Male (inverse)	48%	[plot \| correlate \| graph]
...and	Education > Reading literacy (inverse)	48%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars (inverse)	47%	[plot \| correlate \| graph]
...and	Education > Mathematical literacy (inverse)	47%	[plot \| correlate \| graph]
...and	People > Male population > Age 90-94 > % of the total (inverse)	46%	[plot \| correlate \| graph]
...and	Health > Per capita government expenditure on health in international dollars (inverse)	46%	[plot \| correlate \| graph]
...and	Health > Spending > Per person (inverse)	45%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > Starting (inverse)	44%	[plot \| correlate \| graph]
...and	Health > Health care funding > Total per capita (inverse)	44%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment	43%	[plot \| correlate \| graph]
...and	Energy > Oil Refinery capacities > Thousand barrels daily	43%	[plot \| correlate \| graph]
...and	Energy > Oil Refinery capacities > Thousand barrels daily > Share of total	43%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Male healthy years (inverse)	43%	[plot \| correlate \| graph]
...and	People > Total population > Age 90-94 > % of the total (inverse)	42%	[plot \| correlate \| graph]
...and	Media > Fax machines (inverse)	42%	[plot \| correlate \| graph]
...and	People > Total population > Age 85-89 > % of the total (inverse)	41%	[plot \| correlate \| graph]
...and	Health > Child injury death index	41%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1900 (inverse)	40%	[plot \| correlate \| graph]
...and	Labor > Employment rate of highly educated women (inverse)	39%	[plot \| correlate \| graph]
...and	People > Sex ratio > 15-64 years (inverse)	39%	[plot \| correlate \| graph]
...and	People > Female population > Age 90-94 > % of the total (inverse)	39%	[plot \| correlate \| graph]
...and	Labor > Unemployment and education > Tertiary	39%	[plot \| correlate \| graph]
...and	Health > Teen birth rate	39%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Female	39%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Total Oilseed (inverse)	38%	[plot \| correlate \| graph]
...and	Media > Telecommunications employment (inverse)	38%	[plot \| correlate \| graph]
...and	Media > Phone subscribers (inverse)	38%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > After 15 years (inverse)	38%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > Starting; ratio to GDP per capita (inverse)	38%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Barley (inverse)	38%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for males (inverse)	37%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1950 (inverse)	37%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Males	36%	[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: Proportion of people who answered the survey question "Taking all things together, would you say you are: very happy, quite happy, not very happy, or not at all happy?" by stating that they were "not very" happy or "not at all" happy.

SOURCE: World Values Survey

Correlations > Lifestyle Statistics > Happiness level > Not very or not at all happy

Correlations between Lifestyle > Happiness level > Not very or not at all happy ...

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