NationMaster - Correlations > Lifestyle > Discuss politics frequently

	Variable	Strength
...and	Internet > Web sites	52%	[plot \| correlate \| graph]
...and	Economy > Transnational corporations > Parents	50%	[plot \| correlate \| graph]
...and	Education > Public spending per student > Tertiary level	50%	[plot \| correlate \| graph]
...and	Environment > Protected area	45%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 25-29 (inverse)	42%	[plot \| correlate \| graph]
...and	Lifestyle > Somewhat interested in politics	42%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 15-19	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Copper (inverse)	38%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 15-19	38%	[plot \| correlate \| graph]
...and	People > Male population > Age 40-44 > % of the total	37%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of petroleum products, other (inverse)	37%	[plot \| correlate \| graph]
...and	People > Total population > Age 40-44 > % of the total	36%	[plot \| correlate \| graph]
...and	Health > Health care funding > Public per capita	34%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 15-19	34%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Senior secondary	33%	[plot \| correlate \| graph]
...and	People > Average size of households (inverse)	33%	[plot \| correlate \| graph]
...and	People > Female population > Age 40-44 > % of the total	33%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of green coffee	33%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of steelmaking materials (inverse)	32%	[plot \| correlate \| graph]
...and	People > Gender empowerment measure	31%	[plot \| correlate \| graph]
...and	People > Gender empowerment	31%	[plot \| correlate \| graph]
...and	Health > Per capita government expenditure on health in international dollars	31%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars	31%	[plot \| correlate \| graph]
...and	Sports > Chess > International Masters	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Crude animal material nes	30%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Fish, dried salted smoked	30%	[plot \| correlate \| graph]
...and	Education > Proportion of 19 year olds in secondary education	30%	[plot \| correlate \| graph]
...and	Sports > Chess > World Chess Rankings	29%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Wood manufactures nes	29%	[plot \| correlate \| graph]
...and	People > Female population > Age 55-59 > % of the total (inverse)	28%	[plot \| correlate \| graph]
...and	Immigration > Asylum Seekers > 1990-99	28%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of bauxite and aluminum	27%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Furniture stuff furnishing	27%	[plot \| correlate \| graph]
...and	Labor > Regulation > Employment Conditions (inverse)	27%	[plot \| correlate \| graph]
...and	People > Gender development index	27%	[plot \| correlate \| graph]
...and	Education > Reading literacy (inverse)	27%	[plot \| correlate \| graph]
...and	Immigration > Asylum Seekers > 1980-89	27%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Different race (inverse)	26%	[plot \| correlate \| graph]
...and	Media > Fax machines	25%	[plot \| correlate \| graph]
...and	Labor > Working time to buy chicken (inverse)	25%	[plot \| correlate \| graph]
...and	Education > Scientific literacy (inverse)	25%	[plot \| correlate \| graph]
...and	Democracy > Female parliamentarians	25%	[plot \| correlate \| graph]
...and	People > Total population > Age 55-59 > % of the total (inverse)	25%	[plot \| correlate \| graph]
...and	Health > Spending > Per person	25%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 20-24	24%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Tractors (inverse)	24%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Coke semi-coke retort (inverse)	24%	[plot \| correlate \| graph]
...and	Environment > Urban SO2 concentration (inverse)	24%	[plot \| correlate \| graph]
...and	People > Sex ratio > 15-64 years	24%	[plot \| correlate \| graph]
...and	Education > Proportion of 20 year olds in secondary education	23%	[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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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 discuss politics frequently.

SOURCE: World Values Survey

Correlations > Lifestyle Statistics > Discuss politics frequently

Correlations between Lifestyle > Discuss politics frequently ...

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