NationMaster - Correlations > Lifestyle > Political action

	Variable	Strength
...and	Health > Daily smokers (inverse)	78%	[plot \| correlate \| graph]
...and	Environment > Wildness	69%	[plot \| correlate \| graph]
...and	Environment > Areas under protection	69%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition	61%	[plot \| correlate \| graph]
...and	People > Couples with children (inverse)	50%	[plot \| correlate \| graph]
...and	Labor > Female economic activity	50%	[plot \| correlate \| graph]
...and	Agriculture > Tractor concentration (inverse)	50%	[plot \| correlate \| graph]
...and	Economy > Gender income ratio	49%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita	49%	[plot \| correlate \| graph]
...and	People > One person households	48%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions	48%	[plot \| correlate \| graph]
...and	People > Male population > Age 85-89 > % of the total	47%	[plot \| correlate \| graph]
...and	Lifestyle > Freedom in decision making	47%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 30-34 (inverse)	47%	[plot \| correlate \| graph]
...and	Energy > Usage per person	46%	[plot \| correlate \| graph]
...and	Education > Total expenditure as % of GDP	45%	[plot \| correlate \| graph]
...and	Education > Average years of schooling of adults	45%	[plot \| correlate \| graph]
...and	Health > Tobacco > Adult male smokers (inverse)	45%	[plot \| correlate \| graph]
...and	Energy > Commercial energy use	44%	[plot \| correlate \| graph]
...and	Environment > Non-wildness (inverse)	43%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of nuts and preparations	42%	[plot \| correlate \| graph]
...and	Agriculture > Fertilizer use (inverse)	41%	[plot \| correlate \| graph]
...and	People > Gender development	41%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental	40%	[plot \| correlate \| graph]
...and	Lifestyle > Job priority for men during recession (inverse)	40%	[plot \| correlate \| graph]
...and	Agriculture > Root and tuber production growth	40%	[plot \| correlate \| graph]
...and	Labor > Temporary employment share	39%	[plot \| correlate \| graph]
...and	Education > Female enrolment share > Primary level	39%	[plot \| correlate \| graph]
...and	Agriculture > Arable and permanent cropland	39%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 35-39 (inverse)	38%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females > First degree	38%	[plot \| correlate \| graph]
...and	Education > Share of university qualifications awarded to females	38%	[plot \| correlate \| graph]
...and	Education > Tertiary enrollment	37%	[plot \| correlate \| graph]
...and	Internet > Internet Service Providers	37%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1950	37%	[plot \| correlate \| graph]
...and	Lifestyle > Jobs for native citizens during recession (inverse)	37%	[plot \| correlate \| graph]
...and	People > Male population > Age 80-84 > % of the total	37%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Male	36%	[plot \| correlate \| graph]
...and	Media > E-Government rating	36%	[plot \| correlate \| graph]
...and	Health > Tobacco > Total adult smokers (inverse)	36%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 35-39	36%	[plot \| correlate \| graph]
...and	Labor > Service workers > Female	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Liquid propane butane	36%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for females	35%	[plot \| correlate \| graph]
...and	Food > Fruit juice consumption	35%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 40-44	35%	[plot \| correlate \| graph]
...and	Geography > Population density (inverse)	35%	[plot \| correlate \| graph]
...and	Environment > Water > Availability	34%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 30-34	34%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Professional	34%	[plot \| correlate \| graph]
	Average:	43%

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 respondents in 1990s surveys who have ever joined a boycott.

SOURCE: World Values Survey

Correlations > Lifestyle Statistics > Political action > Joined a boycott

Correlations between Lifestyle > Political action > Joined a boycott ...

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