NationMaster - Correlations > People > Elderly living in institution

	Variable	Strength
...and	Lifestyle > Jobs for native citizens during recession (inverse)	71%	[plot \| correlate \| graph]
...and	People > Gender development index	47%	[plot \| correlate \| graph]
...and	Health > % immunized 1-year-old children > Measles	47%	[plot \| correlate \| graph]
...and	Lifestyle > Job priority for men during recession (inverse)	44%	[plot \| correlate \| graph]
...and	Democracy > Female parliamentarians	42%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction inequality (inverse)	41%	[plot \| correlate \| graph]
...and	People > Gender empowerment measure	41%	[plot \| correlate \| graph]
...and	People > Gender empowerment	41%	[plot \| correlate \| graph]
...and	Economy > Child poverty (inverse)	40%	[plot \| correlate \| graph]
...and	Government > Parliamentary seats > Female	39%	[plot \| correlate \| graph]
...and	People > Average size of households (inverse)	38%	[plot \| correlate \| graph]
...and	Economy > Research and development spending	37%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Homosexuals (inverse)	37%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > People with AIDS (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Births by caesarean section (inverse)	36%	[plot \| correlate \| graph]
...and	People > Gender development	36%	[plot \| correlate \| graph]
...and	Health > % immunized 1-year-old children > DPT3	36%	[plot \| correlate \| graph]
...and	Crime > Reporting to police	35%	[plot \| correlate \| graph]
...and	Health > Motor vehicle deaths (inverse)	35%	[plot \| correlate \| graph]
...and	Education > Proportion of 17 year olds in secondary education	35%	[plot \| correlate \| graph]
...and	Education > Proportion of 20 year olds in secondary education	35%	[plot \| correlate \| graph]
...and	Education > Proportion of 16 year-olds in secondary education	34%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Not very or not at all happy (inverse)	34%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 25-29	32%	[plot \| correlate \| graph]
...and	Economy > Government spending in research and development	32%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness net	31%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 25-29	31%	[plot \| correlate \| graph]
...and	Environment > Urban SO2 concentration (inverse)	30%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 40-44	29%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 40-44	28%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 35-39	28%	[plot \| correlate \| graph]
...and	People > Women > Contraceptive prevalence %	28%	[plot \| correlate \| graph]
...and	Health > Measles immunization	28%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 35-39	27%	[plot \| correlate \| graph]
...and	Media > Cable TV subscribers	26%	[plot \| correlate \| graph]
...and	Health > % immunized 1-year-old children > Polio3	26%	[plot \| correlate \| graph]
...and	People > Lone parent families (inverse)	26%	[plot \| correlate \| graph]
...and	Labor > Employment rate of lesser educated women	25%	[plot \| correlate \| graph]
...and	Lifestyle > Trust people	25%	[plot \| correlate \| graph]
...and	Labor > Female economic activity	25%	[plot \| correlate \| graph]
...and	Economy > Infrastructure	25%	[plot \| correlate \| graph]
...and	Economy > Public institution index	25%	[plot \| correlate \| graph]
...and	Health > Per capita total expenditure on health in international dollars	25%	[plot \| correlate \| graph]
...and	Labor > Working mothers	25%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Female (inverse)	25%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Cocoa	24%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of glassware, porcelain, and chinaware (inverse)	24%	[plot \| correlate \| graph]
...and	People > Households with more than 5 people (inverse)	24%	[plot \| correlate \| graph]
...and	Economy > Research and development personnel	24%	[plot \| correlate \| graph]
...and	Economy > Population below median income (inverse)	24%	[plot \| correlate \| graph]
	Average:	33%

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: Percentage of old people (aged above 65) living in old age institutions.

SOURCE: Annex to GECD Society at a Glance 2002., Statistical Annex Table C6

Correlations > People Statistics > Elderly living in institution

Correlations between People > Elderly living in institution ...

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