NationMaster - Correlations > Lifestyle > Confidence in social institutions

	Variable	Strength
...and	Health > Tobacco > Adult female smokers	59%	[plot \| correlate \| graph]
...and	Education > Share of vocational tertiary qualifications awarded to females > First degree (inverse)	52%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Trade unions	45%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Steam generating boilers (inverse)	40%	[plot \| correlate \| graph]
...and	Agriculture > Cotton imports (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Births by caesarean section (inverse)	35%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Not very or not at all happy (inverse)	35%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness net	35%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Homosexuals (inverse)	34%	[plot \| correlate \| graph]
...and	Labor > Working mothers	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Copper (inverse)	34%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Heavy drinkers (inverse)	33%	[plot \| correlate \| graph]
...and	Military > Manpower > Military age	33%	[plot \| correlate \| graph]
...and	Labor > Employment rate of highly educated women	33%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Female (inverse)	33%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Civil service	33%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars	32%	[plot \| correlate \| graph]
...and	Media > Phone subscribers	31%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Tractors (inverse)	31%	[plot \| correlate \| graph]
...and	Labor > Unemployment (inverse)	31%	[plot \| correlate \| graph]
...and	Labor > Service workers > Female	31%	[plot \| correlate \| graph]
...and	Labor > Unemployment and education > Tertiary (inverse)	29%	[plot \| correlate \| graph]
...and	Economy > Development assistance to LDCs	29%	[plot \| correlate \| graph]
...and	Health > Per capita government expenditure on health in international dollars	29%	[plot \| correlate \| graph]
...and	Agriculture > Tractors (inverse)	29%	[plot \| correlate \| graph]
...and	Environment > Pollution > Carbon dioxide 1999 (inverse)	29%	[plot \| correlate \| graph]
...and	Economy > Targeting of foreign aid	28%	[plot \| correlate \| graph]
...and	Environment > CO2 Emissions (inverse)	28%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of jewelry watches, rings, etc (inverse)	28%	[plot \| correlate \| graph]
...and	Environment > Breeding birds threatened (inverse)	27%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of sorghum, barley, oats (inverse)	27%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Gold non-monetary excl ore (inverse)	27%	[plot \| correlate \| graph]
...and	Media > Pay TV subscribers	27%	[plot \| correlate \| graph]
...and	Labor > Unemployment and education > Upper secondary (inverse)	27%	[plot \| correlate \| graph]
...and	People > Male population > Age 80-84 (inverse)	26%	[plot \| correlate \| graph]
...and	People > Gender development index	26%	[plot \| correlate \| graph]
...and	People > Total population > Age 80-84 (inverse)	26%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of hides and skins (inverse)	26%	[plot \| correlate \| graph]
...and	People > Female population > Age 80-84 (inverse)	26%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Cotton (inverse)	26%	[plot \| correlate \| graph]
...and	Military > Conventional arms imports (inverse)	26%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Emotionally unstable people (inverse)	26%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of wood, glass, plastic (inverse)	25%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of apparel and household goods-cotton (inverse)	25%	[plot \| correlate \| graph]
...and	Media > Average cost of local call	25%	[plot \| correlate \| graph]
...and	Environment > Threatened species > Mammal (inverse)	25%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of sports apparel and gear (inverse)	25%	[plot \| correlate \| graph]
...and	Economy > Exports of goods and services as % of GDP	24%	[plot \| correlate \| graph]
...and	Energy > Oil Consumption > Thousand barrels daily (inverse)	24%	[plot \| correlate \| graph]
...and	Energy > Oil Consumption > Million tonnes > Share of total (inverse)	24%	[plot \| correlate \| graph]
	Average:	31%

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 in 1990s surveys expressing confidence in this social institution.

SOURCE: World Values Survey

Correlations > Lifestyle Statistics > Confidence in social institutions > Parliament

Correlations between Lifestyle > Confidence in social institutions > Parliament ...

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