NationMaster - Correlations > Lifestyle > Somewhat interested in politics

	Variable	Strength
...and	Internet > Web sites	45%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment (inverse)	45%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Junior secondary (inverse)	44%	[plot \| correlate \| graph]
...and	Disasters > Tsunami > Total aid package	44%	[plot \| correlate \| graph]
...and	Lifestyle > Discuss politics frequently	42%	[plot \| correlate \| graph]
...and	Labor > Youth unemployment (inverse)	40%	[plot \| correlate \| graph]
...and	Education > Average years of schooling of adults	39%	[plot \| correlate \| graph]
...and	Media > Fax machines	37%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Nickel	37%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Senior secondary	35%	[plot \| correlate \| graph]
...and	Health > % immunized 1-year-old children > Measles	33%	[plot \| correlate \| graph]
...and	Religion > Catholics as percentage (inverse)	32%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 45-49	32%	[plot \| correlate \| graph]
...and	People > One person households	31%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Misc non-ferrous base metal	31%	[plot \| correlate \| graph]
...and	Health > Per capita government expenditure on health in international dollars	30%	[plot \| correlate \| graph]
...and	Economy > Growth competitiveness score	30%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment > Share (inverse)	30%	[plot \| correlate \| graph]
...and	Immigration > Refugees > Inflow 1990-99	29%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Trunks and cases (inverse)	29%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 50-54	29%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Pig iron etc ferro alloy	29%	[plot \| correlate \| graph]
...and	Environment > Expenditure pollution control as % of GDP	29%	[plot \| correlate \| graph]
...and	Economy > Infrastructure	28%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 20-24	28%	[plot \| correlate \| graph]
...and	Education > Student attitude > Dislike of school (inverse)	28%	[plot \| correlate \| graph]
...and	Economy > Public institution index	27%	[plot \| correlate \| graph]
...and	Disasters > Tsunami > Funds pledged	26%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 45-49	26%	[plot \| correlate \| graph]
...and	Economy > Research and development personnel	26%	[plot \| correlate \| graph]
...and	Disasters > Tsunami > Funds pledged by NGOs and public	26%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Optical instruments nes	25%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 15-19	25%	[plot \| correlate \| graph]
...and	Labor > Female economic activity	25%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of nickel	25%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Female	25%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition	25%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of bauxite and aluminum	25%	[plot \| correlate \| graph]
...and	Sports > FIFA World Ranking > Women	25%	[plot \| correlate \| graph]
...and	Immigration > Asylum Seekers > 1990-99	25%	[plot \| correlate \| graph]
...and	People > Gender development index	25%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of copper	25%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars	25%	[plot \| correlate \| graph]
...and	Health > Health care funding > Public per capita	25%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Fruit nuts, fresh dried (inverse)	25%	[plot \| correlate \| graph]
...and	Economy > Informal economy (inverse)	24%	[plot \| correlate \| graph]
...and	Health > Spending > Per person	24%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 15-19	24%	[plot \| correlate \| graph]
...and	People > Couples with children (inverse)	24%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 50-54	24%	[plot \| correlate \| graph]
	Average:	30%

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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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: Proportions in 1990s surveys responding that they are somewhat interested in politics.

SOURCE: World Values Survey

Correlations > Lifestyle Statistics > Somewhat interested in politics

Correlations between Lifestyle > Somewhat interested in politics ...

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