NationMaster - Correlations > People

	Variable	Strength
...and	People > Couples with children (inverse)	81%	[plot \| correlate \| graph]
...and	Education > Average years of schooling of adults	69%	[plot \| correlate \| graph]
...and	Economy > Research and development personnel	67%	[plot \| correlate \| graph]
...and	Lifestyle > Forced retirement during recession (inverse)	65%	[plot \| correlate \| graph]
...and	Labor > Female economic activity	63%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 45-49	63%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 45-49	59%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 50-54	58%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 50-54	58%	[plot \| correlate \| graph]
...and	Economy > Infrastructure	57%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment > Share (inverse)	57%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 40-44	56%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition	55%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 40-44	53%	[plot \| correlate \| graph]
...and	Economy > Technological achievement	52%	[plot \| correlate \| graph]
...and	Labor > Regulation (inverse)	52%	[plot \| correlate \| graph]
...and	People > Gender development	51%	[plot \| correlate \| graph]
...and	Environment > Wildness	49%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 55-59	49%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Joined a boycott	48%	[plot \| correlate \| graph]
...and	Economy > Technology index	48%	[plot \| correlate \| graph]
...and	Environment > Areas under protection	47%	[plot \| correlate \| graph]
...and	Labor > Unemployment gender ratio (inverse)	47%	[plot \| correlate \| graph]
...and	Education > Students from households with more than 25 books > Age 13	47%	[plot \| correlate \| graph]
...and	Education > Students living with mother > Age 13 (inverse)	46%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Professional	46%	[plot \| correlate \| graph]
...and	Economy > Growth competitiveness score	44%	[plot \| correlate \| graph]
...and	Economy > Business efficiency	44%	[plot \| correlate \| graph]
...and	Energy > Usage per person	44%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 55-59	43%	[plot \| correlate \| graph]
...and	Economy > Gender income ratio	43%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1990 (inverse)	43%	[plot \| correlate \| graph]
...and	Economy > Research and development spending	43%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 2000 (inverse)	43%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1950	42%	[plot \| correlate \| graph]
...and	Media > E-Government rating	42%	[plot \| correlate \| graph]
...and	Education > Female enrolment share > Primary level	41%	[plot \| correlate \| graph]
...and	Agriculture > Root and tuber production growth	41%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Unions	41%	[plot \| correlate \| graph]
...and	Religion > Catholics as percentage (inverse)	40%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Young females	40%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1973	40%	[plot \| correlate \| graph]
...and	Media > Fax machines	40%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment (inverse)	40%	[plot \| correlate \| graph]
...and	Labor > Regulation > Employment Conditions (inverse)	40%	[plot \| correlate \| graph]
...and	Labor > Service workers > Male	40%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 35-39	39%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Education	39%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Misc non-ferrous base metal	39%	[plot \| correlate \| graph]
...and	Labor > Regulation > Firing (inverse)	39%	[plot \| correlate \| graph]
	Average:	49%

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 one person households (1995)

SOURCE: OECD

Correlations > People Statistics > One person households

Correlations between People > One person households ...

About Correlations:

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NOTES:

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