NationMaster - Correlations > People > Male population > Age 30-34

	Variable	Strength
...and	People > Total population > Age 30-34 > % of the total	84%	[plot \| correlate \| graph]
...and	Crime > Perception of safety > Walking in dark (inverse)	54%	[plot \| correlate \| graph]
...and	People > Male population > Age 35-39 > % of the total	49%	[plot \| correlate \| graph]
...and	Economy > Net social expenditure > % of GDP (inverse)	49%	[plot \| correlate \| graph]
...and	Education > Spending per secondary school student (inverse)	49%	[plot \| correlate \| graph]
...and	People > Female population > Age 30-34 > % of the total	46%	[plot \| correlate \| graph]
...and	Crime > Bribe payers index (inverse)	46%	[plot \| correlate \| graph]
...and	Labor > Working mothers (inverse)	45%	[plot \| correlate \| graph]
...and	Economy > Comparative price levels (inverse)	43%	[plot \| correlate \| graph]
...and	Economy > Population under $1 a day (inverse)	42%	[plot \| correlate \| graph]
...and	People > Average size of households	41%	[plot \| correlate \| graph]
...and	Economy > Population under $2 a day (inverse)	41%	[plot \| correlate \| graph]
...and	Health > Transplants > Lung (inverse)	40%	[plot \| correlate \| graph]
...and	Labor > Working time to buy milk	39%	[plot \| correlate \| graph]
...and	People > Total population > Age 35-39 > % of the total	39%	[plot \| correlate \| graph]
...and	People > Households with more than 5 people	39%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for males (inverse)	38%	[plot \| correlate \| graph]
...and	Health > Health care funding > Public per capita (inverse)	38%	[plot \| correlate \| graph]
...and	Health > Health care funding > Total per capita (inverse)	38%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > Starting (inverse)	36%	[plot \| correlate \| graph]
...and	Environment > Sustainability-satisfying companies (inverse)	35%	[plot \| correlate \| graph]
...and	Media > Television reception by terrestrial means	35%	[plot \| correlate \| graph]
...and	Economy > Import growth	35%	[plot \| correlate \| graph]
...and	Education > Students from households with study desk > Age 9 (inverse)	35%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for all students (inverse)	35%	[plot \| correlate \| graph]
...and	Education > Spending per primary school student (inverse)	34%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 40 (inverse)	34%	[plot \| correlate \| graph]
...and	Media > Public share of broadcasting revenue (inverse)	34%	[plot \| correlate \| graph]
...and	Health > Contraception	33%	[plot \| correlate \| graph]
...and	Labor > Employment rate of highly educated women (inverse)	32%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Sorghum	32%	[plot \| correlate \| graph]
...and	Economy > Export growth	31%	[plot \| correlate \| graph]
...and	Economy > Government spending in research and development (inverse)	31%	[plot \| correlate \| graph]
...and	Immigration > Asylum Seekers (inverse)	31%	[plot \| correlate \| graph]
...and	Food > Coffee consumption (inverse)	30%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at high literacy level (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > Infrastructure (inverse)	30%	[plot \| correlate \| graph]
...and	Labor > Working time to buy chicken	29%	[plot \| correlate \| graph]
...and	Crime > Perception of safety > Burglary (inverse)	29%	[plot \| correlate \| graph]
...and	People > Age structure > 15-64 years	29%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for females (inverse)	29%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults with at least moderate literacy (inverse)	29%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at low literacy level	29%	[plot \| correlate \| graph]
...and	Media > Cable TV subscribers (inverse)	28%	[plot \| correlate \| graph]
...and	Food > Fruit juice consumption (inverse)	28%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 10-14 (inverse)	28%	[plot \| correlate \| graph]
...and	Energy > Traditional fuel consumption (inverse)	27%	[plot \| correlate \| graph]
...and	Health > Nutrition > % of under-fives suffering from stunting moderate & severe (inverse)	27%	[plot \| correlate \| graph]
...and	Health > Malaria % under-fives sleeping under a bednet	27%	[plot \| correlate \| graph]
...and	Education > Students from households with study desk > Age 13 (inverse)	27%	[plot \| correlate \| graph]
	Average:	36%

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: Male population - Age 30-34 - % of the total, as of April 26, 2005

SOURCE: U.S. Census Bureau, Population Division, International Programs Center

Correlations > People Statistics > Male population > Age 30-34 > % of the total

Correlations between People > Male population > Age 30-34 > % of the total ...

About Correlations:

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NOTES:

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