NationMaster - Correlations > People

	Variable	Strength
...and	Health > Teenage pregnancy > Share	98%	[plot \| correlate \| graph]
...and	Health > Teen birth rate	81%	[plot \| correlate \| graph]
...and	Education > Universities > Top 100	67%	[plot \| correlate \| graph]
...and	Health > Obesity	66%	[plot \| correlate \| graph]
...and	Internet > Secure servers	62%	[plot \| correlate \| graph]
...and	Food > Soft drink consumption	59%	[plot \| correlate \| graph]
...and	Labor > Female decision makers	59%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Parties	56%	[plot \| correlate \| graph]
...and	People > Size of houses	55%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency	54%	[plot \| correlate \| graph]
...and	Environment > Biosphere reserves area	53%	[plot \| correlate \| graph]
...and	Military > Conventional arms exports	53%	[plot \| correlate \| graph]
...and	Lifestyle > Very proud of their nationality	49%	[plot \| correlate \| graph]
...and	People > Marriage rate	48%	[plot \| correlate \| graph]
...and	Environment > Municipal waste treatment expenditure	46%	[plot \| correlate \| graph]
...and	People > Chinese population	46%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Sulphur unroastd pyrites	44%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Coal non-agglomerated	44%	[plot \| correlate \| graph]
...and	Health > Child maltreatment deaths	42%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nuclear waste	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Rice	42%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Pigments paints varnish (inverse)	41%	[plot \| correlate \| graph]
...and	Media > Cinema attendance	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Synthetic organic colour agents (inverse)	39%	[plot \| correlate \| graph]
...and	Energy > Coal consumption > Million tonnes oil equivalent > Share of total	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Synthetic spinning fibre	38%	[plot \| correlate \| graph]
...and	Internet > Broadband access	38%	[plot \| correlate \| graph]
...and	Economy > Child poverty	37%	[plot \| correlate \| graph]
...and	Disasters > Tsunami > Funds pledged by NGOs and public	37%	[plot \| correlate \| graph]
...and	Energy > Coal consumption > Million tonnes oil equivalent	36%	[plot \| correlate \| graph]
...and	Education > Young longtext readers	36%	[plot \| correlate \| graph]
...and	Agriculture > Cotton use	35%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Wood manufactures nes (inverse)	35%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Female healthy years (inverse)	35%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Charity	35%	[plot \| correlate \| graph]
...and	People > Female population > Age 15-19 > % of the total	35%	[plot \| correlate \| graph]
...and	Health > Percentage of life lived in ill health > Female	35%	[plot \| correlate \| graph]
...and	Education > Students from households with study desk > Age 13 (inverse)	35%	[plot \| correlate \| graph]
...and	Media > Television revenue from subscriptions	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Plastic waste scrap	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Crude vegetables materials nes (inverse)	34%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation	34%	[plot \| correlate \| graph]
...and	People > Total population > Age 15-19 > % of the total	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Special yarns fabrics (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Tobacco, raw and wastes (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Iron steel aluminium structures (inverse)	33%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Plastic tube pipe hose (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > Commitment to foreign aid (inverse)	32%	[plot \| correlate \| graph]
...and	Health > Motor vehicle deaths	32%	[plot \| correlate \| graph]
	Average:	44%

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 births to women aged below 20 per 1,000 women aged 15 to 19. (1995-1998)

SOURCE: UNICEF

Correlations > People Statistics > Teenage birth rate

Correlations between People > Teenage birth rate ...

About Correlations:

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NOTES:

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