NationMaster - Correlations > People

	Variable	Strength
...and	People > One person households (inverse)	81%	[plot \| correlate \| graph]
...and	Lifestyle > Forced retirement during recession	62%	[plot \| correlate \| graph]
...and	Environment > Areas under protection (inverse)	62%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition (inverse)	60%	[plot \| correlate \| graph]
...and	Education > Average years of schooling of adults (inverse)	54%	[plot \| correlate \| graph]
...and	Transportation > Highways > Unpaved (per capita) (inverse)	54%	[plot \| correlate \| graph]
...and	Education > Students living with mother > Age 13	54%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment > Share	54%	[plot \| correlate \| graph]
...and	Environment > Wildness (inverse)	53%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Professional (inverse)	52%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Joined a boycott (inverse)	50%	[plot \| correlate \| graph]
...and	Labor > Female economic activity (inverse)	50%	[plot \| correlate \| graph]
...and	Media > Telecommunications revenue (inverse)	50%	[plot \| correlate \| graph]
...and	Internet > Secure servers (inverse)	47%	[plot \| correlate \| graph]
...and	Agriculture > Root and tuber production growth (inverse)	45%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 45-49 (inverse)	45%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency (inverse)	45%	[plot \| correlate \| graph]
...and	Transportation > Highways > Unpaved (inverse)	44%	[plot \| correlate \| graph]
...and	Economy > Gender income ratio (inverse)	44%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Education (inverse)	43%	[plot \| correlate \| graph]
...and	Health > Child maltreatment deaths (inverse)	43%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 40-44 (inverse)	43%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of fish and shellfish (inverse)	42%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 45-49 (inverse)	42%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Misc non-ferrous base metal (inverse)	41%	[plot \| correlate \| graph]
...and	Economy > Research and development personnel (inverse)	41%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 50-54 (inverse)	41%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 50-54 (inverse)	40%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 40-44 (inverse)	38%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1950 (inverse)	38%	[plot \| correlate \| graph]
...and	Health > Practising physicians	38%	[plot \| correlate \| graph]
...and	Energy > Usage per person (inverse)	37%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 30-34	37%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Pre-trial detainees	36%	[plot \| correlate \| graph]
...and	Economy > Technology index (inverse)	36%	[plot \| correlate \| graph]
...and	Education > Proportion of primary education time spent learning mathematics (inverse)	35%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of cane and beet sugar (inverse)	35%	[plot \| correlate \| graph]
...and	Labor > Regulation	35%	[plot \| correlate \| graph]
...and	Media > Mobile phones	35%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions (inverse)	34%	[plot \| correlate \| graph]
...and	Environment > Biosphere reserves area (inverse)	34%	[plot \| correlate \| graph]
...and	Health > Water availability (inverse)	34%	[plot \| correlate \| graph]
...and	Crime > Software piracy rate	34%	[plot \| correlate \| graph]
...and	Taxation > Value Added Tax > Lower rate for dwellings	33%	[plot \| correlate \| graph]
...and	Health > Teenage pregnancy > Share (inverse)	33%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nitrogen Oxides per capita (inverse)	33%	[plot \| correlate \| graph]
...and	Environment > Ecological footprint (inverse)	33%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Young females (inverse)	33%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment	33%	[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: Share of couples with children (1995)

SOURCE: OECD

Correlations > People Statistics > Couples with children

Correlations between People > Couples with children ...

About Correlations:

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NOTES:

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