NationMaster - Correlations > People > Sex ratio

	Variable	Strength
...and	Education > Literacy > Adults with at least moderate literacy	72%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at low literacy level (inverse)	72%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at moderate literacy level	72%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at high literacy level	58%	[plot \| correlate \| graph]
...and	Health > Health care funding > Public per capita	55%	[plot \| correlate \| graph]
...and	People > Average size of households (inverse)	54%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60 (inverse)	51%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Female (inverse)	50%	[plot \| correlate \| graph]
...and	Health > Births > Low birth weight (inverse)	47%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Female (inverse)	45%	[plot \| correlate \| graph]
...and	Education > Students from households with computer > Age 13	45%	[plot \| correlate \| graph]
...and	Economy > Net social expenditure > % of GDP	45%	[plot \| correlate \| graph]
...and	Agriculture > Area > Peanut	44%	[plot \| correlate \| graph]
...and	Agriculture > Production > Peanut	42%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Very happy	40%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Not very or not at all happy (inverse)	39%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness net	39%	[plot \| correlate \| graph]
...and	People > Households with more than 5 people (inverse)	38%	[plot \| correlate \| graph]
...and	Media > Commercial share of broadcasting revenue (inverse)	37%	[plot \| correlate \| graph]
...and	Education > Mathematical literacy	36%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Rice consumption	36%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Rye	34%	[plot \| correlate \| graph]
...and	Education > Spending per secondary school student	33%	[plot \| correlate \| graph]
...and	Health > Motor vehicle deaths (inverse)	33%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Males (inverse)	33%	[plot \| correlate \| graph]
...and	Food > Coffee consumption	32%	[plot \| correlate \| graph]
...and	Lifestyle > Very proud of their nationality (inverse)	32%	[plot \| correlate \| graph]
...and	Agriculture > Grains > Rice production	31%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Male healthy years	31%	[plot \| correlate \| graph]
...and	Labor > Working time to buy bread (inverse)	30%	[plot \| correlate \| graph]
...and	Health > Years lived in ill health > Male (inverse)	30%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency (inverse)	30%	[plot \| correlate \| graph]
...and	Education > Reading literacy	29%	[plot \| correlate \| graph]
...and	Health > Age of women at first childbirth	29%	[plot \| correlate \| graph]
...and	Health > Teen birth rate (inverse)	29%	[plot \| correlate \| graph]
...and	Currency > Terms of trade since 1995	28%	[plot \| correlate \| graph]
...and	Sports > Air Games > Silver medals (inverse)	28%	[plot \| correlate \| graph]
...and	Health > Health care funding > Total per capita	28%	[plot \| correlate \| graph]
...and	Education > Spending per primary school student	28%	[plot \| correlate \| graph]
...and	Health > Public spending as % of total	28%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Healthy years	28%	[plot \| correlate \| graph]
...and	Education > Student attitude > Dislike of school (inverse)	27%	[plot \| correlate \| graph]
...and	Labor > Working time to buy a car (inverse)	27%	[plot \| correlate \| graph]
...and	People > Divorces per 100 marriages	27%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Brazil nuts (inverse)	27%	[plot \| correlate \| graph]
...and	Lifestyle > Jobs for native citizens during recession (inverse)	26%	[plot \| correlate \| graph]
...and	Media > Television revenue from subscriptions (inverse)	26%	[plot \| correlate \| graph]
...and	Media > Public funding of broadcasters revenue per capita	26%	[plot \| correlate \| graph]
...and	Lifestyle > Not proud of their nationality	26%	[plot \| correlate \| graph]
...and	Labor > Working time to buy fish (inverse)	25%	[plot \| correlate \| graph]
	Average:	37%

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: The number of males for each female one of five age groups - at birth, under 15 years, 15-64 years, 65 years and over, and for the total population. Sex ratio at birth has recently emerged as an indicator of certain kinds of sex discrimination in some countries. For instance, high sex ratios at birth in some Asian countries are now attributed to sex-selective abortion and infanticide due to a strong preference for sons. This will affect future marriage patterns and fertility patterns. Eventually it could cause unrest among young adult males who are unable to find partners.

SOURCE: CIA World Factbook, 28 July 2005

Correlations > People Statistics > Sex ratio > 15-64 years

Correlations between People > Sex ratio > 15-64 years ...

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