NationMaster - Correlations > Education > Pupils-teacher ratio

	Variable	Strength
...and	Military > Forces in Europe > Battle Tanks	53%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Male (inverse)	49%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > Artillery	49%	[plot \| correlate \| graph]
...and	Education > Pupils-teacher ratio > primary level	47%	[plot \| correlate \| graph]
...and	Media > Mobile phones (inverse)	47%	[plot \| correlate \| graph]
...and	People > Gender development (inverse)	45%	[plot \| correlate \| graph]
...and	Health > Maternal mortality	45%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 65 plus	45%	[plot \| correlate \| graph]
...and	People > Women > Maternal mortality ratio > reported	44%	[plot \| correlate \| graph]
...and	Economy > Human Development Index (inverse)	43%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 65 plus	43%	[plot \| correlate \| graph]
...and	Education > Average years of schooling of adults (inverse)	43%	[plot \| correlate \| graph]
...and	Health > Intestinal diseases death rate	42%	[plot \| correlate \| graph]
...and	Education > Female teachers > Lower secondary (inverse)	42%	[plot \| correlate \| graph]
...and	Agriculture > Labor share	41%	[plot \| correlate \| graph]
...and	Education > Enrolment ratio > Secondary level (inverse)	41%	[plot \| correlate \| graph]
...and	Labor > Agricultural workers > Female	40%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1973 (inverse)	40%	[plot \| correlate \| graph]
...and	Education > Repitition rate > Secondary level	40%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 65 plus	40%	[plot \| correlate \| graph]
...and	Energy > Traditional fuel consumption	40%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1990 (inverse)	40%	[plot \| correlate \| graph]
...and	Lifestyle > Political orientation > Far right	39%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1820 (inverse)	39%	[plot \| correlate \| graph]
...and	Economy > Technological achievement (inverse)	39%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Female (inverse)	39%	[plot \| correlate \| graph]
...and	Military > Forces in Europe > ACVs	38%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1980 (inverse)	38%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Female (inverse)	38%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Total (inverse)	38%	[plot \| correlate \| graph]
...and	Education > Primary school girls out of school	38%	[plot \| correlate \| graph]
...and	People > Women > Skilled attendant at delivery % (inverse)	37%	[plot \| correlate \| graph]
...and	Labor > Agricultural workers > Male	37%	[plot \| correlate \| graph]
...and	Health > Infant mortality rate	37%	[plot \| correlate \| graph]
...and	Health > Tobacco > Cigarette consumption (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Practising physicians (inverse)	36%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 2000 (inverse)	35%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Male (inverse)	35%	[plot \| correlate \| graph]
...and	Health > Nutrition > % of under-fives suffering from underweight moderate & severe	35%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 15-19	34%	[plot \| correlate \| graph]
...and	Health > Births with health staff (inverse)	34%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 60-64	34%	[plot \| correlate \| graph]
...and	Environment > Ecological footprint (inverse)	34%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 15-19	34%	[plot \| correlate \| graph]
...and	Health > Tuberculosis cases > Per 100,000	34%	[plot \| correlate \| graph]
...and	People > Age structure > 0-14 years	34%	[plot \| correlate \| graph]
...and	Health > Probability of dying before 5 > Females	33%	[plot \| correlate \| graph]
...and	Immigration > Asylum Seekers	33%	[plot \| correlate \| graph]
...and	People > Urbanization in 1975 (inverse)	33%	[plot \| correlate \| graph]
...and	People > Couples with children (inverse)	33%	[plot \| correlate \| graph]
	Average:	39%

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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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: Pupil-teacher ratio, secondary level is the average number of pupils per teacher in secondary education. Cross-country comparisons may be affected by such factors as the composition of teachers by part- and full-time employment.

SOURCE: UNESCO

Correlations > Education Statistics > Pupils-teacher ratio > secondary level

Correlations between Education > Pupils-teacher ratio > secondary level ...

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