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

	Variable	Strength
...and	People > Total population > Age 30-34 > % of the total	74%	[plot \| correlate \| graph]
...and	People > Female population > Age 35-39 > % of the total	52%	[plot \| correlate \| graph]
...and	Economy > Net social expenditure > % of GDP (inverse)	51%	[plot \| correlate \| graph]
...and	Crime > Perception of safety > Walking in dark (inverse)	48%	[plot \| correlate \| graph]
...and	Education > Spending per secondary school student (inverse)	47%	[plot \| correlate \| graph]
...and	Economy > Population under $1 a day (inverse)	46%	[plot \| correlate \| graph]
...and	People > Male population > Age 30-34 > % of the total	46%	[plot \| correlate \| graph]
...and	People > Households with more than 5 people	44%	[plot \| correlate \| graph]
...and	Health > Health care funding > Public per capita (inverse)	43%	[plot \| correlate \| graph]
...and	People > Total population > Age 35-39 > % of the total	41%	[plot \| correlate \| graph]
...and	Economy > Population under $2 a day (inverse)	41%	[plot \| correlate \| graph]
...and	People > Average size of households	40%	[plot \| correlate \| graph]
...and	Economy > Comparative price levels (inverse)	39%	[plot \| correlate \| graph]
...and	Media > Public share of broadcasting revenue (inverse)	39%	[plot \| correlate \| graph]
...and	Environment > Sustainability-satisfying companies (inverse)	38%	[plot \| correlate \| graph]
...and	Health > Transplants > Lung (inverse)	38%	[plot \| correlate \| graph]
...and	Health > Contraception	38%	[plot \| correlate \| graph]
...and	Health > Health care funding > Total per capita (inverse)	38%	[plot \| correlate \| graph]
...and	Labor > Working mothers (inverse)	37%	[plot \| correlate \| graph]
...and	Education > Students from households with study desk > Age 13 (inverse)	35%	[plot \| correlate \| graph]
...and	Immigration > Asylum Seekers (inverse)	35%	[plot \| correlate \| graph]
...and	Economy > Government spending in research and development (inverse)	34%	[plot \| correlate \| graph]
...and	Labor > Working time to buy chicken	34%	[plot \| correlate \| graph]
...and	Education > Spending per primary school student (inverse)	34%	[plot \| correlate \| graph]
...and	Media > Commercial share of broadcasting revenue	34%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for all students (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > Import growth	33%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Oats (inverse)	33%	[plot \| correlate \| graph]
...and	Education > Primary teacher salary > Starting (inverse)	33%	[plot \| correlate \| graph]
...and	Agriculture > Yield > Sorghum	33%	[plot \| correlate \| graph]
...and	Health > Growth in health expenditure > Per annum	32%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for males (inverse)	32%	[plot \| correlate \| graph]
...and	Health > Malaria % under-fives sleeping under a bednet	31%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 40 (inverse)	31%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 10-14 (inverse)	31%	[plot \| correlate \| graph]
...and	Education > Students from households with study desk > Age 9 (inverse)	31%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 10-14 (inverse)	31%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 10-14 (inverse)	31%	[plot \| correlate \| graph]
...and	Education > Literacy > Adults at high literacy level (inverse)	30%	[plot \| correlate \| graph]
...and	Labor > Working time to buy milk	30%	[plot \| correlate \| graph]
...and	Health > Death from cancer	30%	[plot \| correlate \| graph]
...and	Health > Total fertility rate (inverse)	29%	[plot \| correlate \| graph]
...and	Military > Navy personnel	29%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Goods and service tax	29%	[plot \| correlate \| graph]
...and	People > Age structure > 15-64 years	28%	[plot \| correlate \| graph]
...and	Energy > Traditional fuel consumption (inverse)	28%	[plot \| correlate \| graph]
...and	Immigration > Asylum Seekers > 1990-99 (inverse)	28%	[plot \| correlate \| graph]
...and	Economy > Export growth	28%	[plot \| correlate \| graph]
...and	Disasters > Tsunami > Foreigners death toll (inverse)	28%	[plot \| correlate \| graph]
...and	Crime > Bribe payers index (inverse)	28%	[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: Female 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 > Female population > Age 30-34 > % of the total

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

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NOTES:

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