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Correlations > Lifestyle Statistics > Life satisfaction inequality

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Correlations between Lifestyle > Life satisfaction inequality ...

Variable Strength
...and  Health > Life expectancy > Male healthy years (inverse) 65% [plot | correlate | graph]
...and  People > Gender empowerment (inverse) 64% [plot | correlate | graph]
...and  Health > Life expectancy > Healthy years (inverse) 63% [plot | correlate | graph]
...and  Economy > Comparative price levels (inverse) 61% [plot | correlate | graph]
...and  Education > Literacy > Adults at moderate literacy level (inverse) 59% [plot | correlate | graph]
...and  Health > Life expectancy > Female healthy years (inverse) 57% [plot | correlate | graph]
...and  Crime > Bribe payers index (inverse) 55% [plot | correlate | graph]
...and  Health > Probability of not reaching 60 54% [plot | correlate | graph]
...and  Education > Literacy > Adults with at least moderate literacy (inverse) 54% [plot | correlate | graph]
...and  Education > Literacy > Adults at low literacy level 54% [plot | correlate | graph]
...and  Economy > Business efficiency (inverse) 53% [plot | correlate | graph]
...and  Education > Students from households with calculator > Age 13 (inverse) 52% [plot | correlate | graph]
...and  Economy > Infrastructure (inverse) 51% [plot | correlate | graph]
...and  Education > Students from households with computer > Age 13 (inverse) 50% [plot | correlate | graph]
...and  Education > Primary teacher salary > Starting (inverse) 49% [plot | correlate | graph]
...and  Economy > Overall productivity > PPP (inverse) 48% [plot | correlate | graph]
...and  Education > Expected duration of education for males (inverse) 47% [plot | correlate | graph]
...and  Health > Health care funding > Public per capita (inverse) 47% [plot | correlate | graph]
...and  Health > Spending > Per person (inverse) 46% [plot | correlate | graph]
...and  Education > Expected duration of education for all students (inverse) 46% [plot | correlate | graph]
...and  Health > Percentage of life lived in ill health > Female 45% [plot | correlate | graph]
...and  Education > Proportion of 17 year olds in secondary education (inverse) 45% [plot | correlate | graph]
...and  Health > Motor vehicle deaths 45% [plot | correlate | graph]
...and  Economy > Policy competitiveness (inverse) 43% [plot | correlate | graph]
...and  Environment > Environmental agreement compliance (inverse) 43% [plot | correlate | graph]
...and  Economy > Import growth 42% [plot | correlate | graph]
...and  Health > Nurses (inverse) 42% [plot | correlate | graph]
...and  Economy > Innovation (inverse) 42% [plot | correlate | graph]
...and  People > Elderly living in institution (inverse) 41% [plot | correlate | graph]
...and  Media > Cable TV subscribers (inverse) 41% [plot | correlate | graph]
...and  Education > Primary teacher salary > Starting; ratio to GDP per capita (inverse) 40% [plot | correlate | graph]
...and  Education > Primary teacher salary > After 15 years (inverse) 40% [plot | correlate | graph]
...and  Health > Percentage of life lived in ill health > Males 40% [plot | correlate | graph]
...and  Health > Per capita total expenditure on health in international dollars (inverse) 40% [plot | correlate | graph]
...and  Media > Fax machines (inverse) 40% [plot | correlate | graph]
...and  Lifestyle > Life satisfaction (inverse) 40% [plot | correlate | graph]
...and  Education > Expected duration of education for females (inverse) 40% [plot | correlate | graph]
...and  People > Male population > Age 85-89 > % of the total (inverse) 40% [plot | correlate | graph]
...and  Health > Per capita government expenditure on health in international dollars (inverse) 40% [plot | correlate | graph]
...and  Agriculture > Yield > Oats (inverse) 39% [plot | correlate | graph]
...and  Media > Phone subscribers (inverse) 39% [plot | correlate | graph]
...and  Crime > Robbery victims 39% [plot | correlate | graph]
...and  Education > Students from households with dictionary > Age 13 (inverse) 39% [plot | correlate | graph]
...and  Education > Literacy > Adults at high literacy level (inverse) 39% [plot | correlate | graph]
...and  Agriculture > Yield > Barley (inverse) 38% [plot | correlate | graph]
...and  Labor > Long term unemployment 37% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Electric current (inverse) 37% [plot | correlate | graph]
...and  People > Total population > Age 85-89 > % of the total (inverse) 36% [plot | correlate | graph]
...and  Economy > Macroeconomic environment index (inverse) 36% [plot | correlate | graph]
...and  Education > Proportion of 16 year-olds in secondary education (inverse) 36% [plot | correlate | graph]
Average: 46%

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.

VIEW FOR THIS VARIABLE:

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 data is indicative of how much citizens differ in enjoyment of their life-as-a-whole.Life-satisfaction assessed by means of surveys in samples of the general population. Scores may be too low in some countries, due to under sampling of rural and illiterate population. In this ranking the focus is not on the level of happiness in the country, but on inequality in happiness among citizens.Inequality in happiness can be measured by the dispersion of responses to survey-questions. The degree of dispersion can be expressed statistically in the standard deviation and surveys items rated on a 10 step numerical scale are particularly usefull for that purpose. Most scores are based on responses to the following question: "All things considered, how satisfied or dissatisfied are you with your life-as-a-whole now? 1 dissatisfied to10 satisfied".

SOURCE: World Database of Happiness, Happiness in Nations, Rank Report 2004/3b. Equality of  happiness in 90 nations 1990-2000. How much citizens differ in enjoyment of their life as a whole

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