NationMaster - Correlations > Lifestyle > Members of voluntary organisations

	Variable	Strength
...and	Labor > Economic activity > Men aged 20-24	58%	[plot \| correlate \| graph]
...and	Immigration > Foreign population	53%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Professional	47%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Education	47%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition	46%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions	46%	[plot \| correlate \| graph]
...and	Labor > Foreign labor force	46%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 20-24	45%	[plot \| correlate \| graph]
...and	Media > Telecommunications revenue	43%	[plot \| correlate \| graph]
...and	Lifestyle > Amphetamine use	40%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 20-24	39%	[plot \| correlate \| graph]
...and	Agriculture > Cereal production growth	37%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cotton	37%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 60-64	35%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1950	33%	[plot \| correlate \| graph]
...and	Education > Average years of schooling of adults	33%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for males	33%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Immigrants (inverse)	32%	[plot \| correlate \| graph]
...and	Lifestyle > Freedom in decision making	31%	[plot \| correlate \| graph]
...and	Lifestyle > Cannabis use	31%	[plot \| correlate \| graph]
...and	Environment > Known reptile species	31%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 15-19	30%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 15-19	30%	[plot \| correlate \| graph]
...and	Economy > Policy competitiveness	29%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars	29%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 45-49	28%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 15-19	27%	[plot \| correlate \| graph]
...and	Internet > Secure servers	27%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Joined a boycott	27%	[plot \| correlate \| graph]
...and	Lifestyle > Confidence in social institutions > Press (inverse)	27%	[plot \| correlate \| graph]
...and	Media > E-Government rating	27%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for all students	26%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Iron steel aluminium structures (inverse)	26%	[plot \| correlate \| graph]
...and	Media > DVD region	26%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1973	25%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Male	25%	[plot \| correlate \| graph]
...and	Economy > Infrastructure	25%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental	24%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Arms and ammunition	24%	[plot \| correlate \| graph]
...and	Environment > Wildness	24%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Coal non-agglomerated (inverse)	24%	[plot \| correlate \| graph]
...and	Education > Universities > Top 200	23%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Coke semi-coke retort (inverse)	23%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of glassware, porcelain, and chinaware (inverse)	23%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita	23%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 55-59	23%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Vegetables textile fibre excl cot ju (inverse)	22%	[plot \| correlate \| graph]
...and	Economy > Social security expenditure as % of GDP (inverse)	22%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Silver platinum etc	22%	[plot \| correlate \| graph]
...and	Education > Young longtext readers	21%	[plot \| correlate \| graph]
	Average:	32%

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 saying they are active members of voluntary organisations in this category, 1990s surveys.

SOURCE: World Values Survey

Correlations > Lifestyle Statistics > Members of voluntary organisations > Sport

Correlations between Lifestyle > Members of voluntary organisations > Sport ...

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