NationMaster - Correlations > Education > Female teachers

	Variable	Strength
...and	Economy > Income distribution > Richest 20% (inverse)	67%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Poorest 20%	66%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Richest 10% (inverse)	65%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Poorest 10%	63%	[plot \| correlate \| graph]
...and	People > Women > Skilled attendant at delivery %	60%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of food oils and oilseeds (inverse)	50%	[plot \| correlate \| graph]
...and	Health > Stomach cancer deaths	48%	[plot \| correlate \| graph]
...and	People > Male population > Age 50-54 > % of the total	48%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years (inverse)	47%	[plot \| correlate \| graph]
...and	People > Age structure > 15-64 years	47%	[plot \| correlate \| graph]
...and	People > Total population > Age 50-54 > % of the total	46%	[plot \| correlate \| graph]
...and	Health > Probability of dying before 5 > Females (inverse)	46%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 60-64 (inverse)	46%	[plot \| correlate \| graph]
...and	People > Female population > Age 55-59 > % of the total	46%	[plot \| correlate \| graph]
...and	Economy > Population below median income (inverse)	46%	[plot \| correlate \| graph]
...and	People > Total population > Age 55-59 > % of the total	45%	[plot \| correlate \| graph]
...and	Education > Share of vocational tertiary qualifications awarded to females > First degree	45%	[plot \| correlate \| graph]
...and	People > Female population > Age 75-79 > % of the total	45%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 65 plus (inverse)	44%	[plot \| correlate \| graph]
...and	Agriculture > Cotton production (inverse)	44%	[plot \| correlate \| graph]
...and	People > Female population > Age 50-54 > % of the total	44%	[plot \| correlate \| graph]
...and	People > Male population > Age 15-19 > % of the total (inverse)	44%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 65 plus (inverse)	43%	[plot \| correlate \| graph]
...and	People > Male population > Age 55-59 > % of the total	43%	[plot \| correlate \| graph]
...and	People > Total population > Age 15-19 > % of the total (inverse)	43%	[plot \| correlate \| graph]
...and	Labor > Female professionals	42%	[plot \| correlate \| graph]
...and	Education > Education spending (% Primary) (inverse)	42%	[plot \| correlate \| graph]
...and	People > Female population > Age 15-19 > % of the total (inverse)	42%	[plot \| correlate \| graph]
...and	Education > Pupils-teacher ratio > secondary level (inverse)	42%	[plot \| correlate \| graph]
...and	People > Female population > Age 70-74 > % of the total	42%	[plot \| correlate \| graph]
...and	People > Female population > Age 60-64 > % of the total	41%	[plot \| correlate \| graph]
...and	People > Women > Life expectancy females as a % of males	41%	[plot \| correlate \| graph]
...and	Democracy > Civil and political liberties	41%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60	41%	[plot \| correlate \| graph]
...and	Health > Drug access	40%	[plot \| correlate \| graph]
...and	Education > Enrolment ratio > Secondary level	40%	[plot \| correlate \| graph]
...and	Health > Intestinal diseases death rate (inverse)	40%	[plot \| correlate \| graph]
...and	People > Female population > Age 20-24 > % of the total (inverse)	39%	[plot \| correlate \| graph]
...and	People > Total population > Age 20-24 > % of the total (inverse)	39%	[plot \| correlate \| graph]
...and	Education > Progression to secondary level	39%	[plot \| correlate \| graph]
...and	People > Male population > Age 20-24 > % of the total (inverse)	39%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 50-54 (inverse)	39%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Middle aged	39%	[plot \| correlate \| graph]
...and	Health > % immunized 1-year-old children > DPT3	38%	[plot \| correlate \| graph]
...and	Agriculture > Labor share (inverse)	38%	[plot \| correlate \| graph]
...and	Education > Public spending per student > Tertiary level (inverse)	38%	[plot \| correlate \| graph]
...and	People > Total population > Age 75-79 > % of the total	38%	[plot \| correlate \| graph]
...and	Health > Tobacco > Cigarette consumption	38%	[plot \| correlate \| graph]
...and	Agriculture > Cotton exports (inverse)	37%	[plot \| correlate \| graph]
...and	Media > DVD region (inverse)	37%	[plot \| correlate \| graph]
	Average:	45%

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 share of lower secondary level teachers at who are female. Data for 2000.

SOURCE: UNESCO Institute of Statistics

Correlations > Education Statistics > Female teachers > Lower secondary

Correlations between Education > Female teachers > Lower secondary ...

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