FACTOID # 6: There are 22 countries where more than half the population is illiterate. Fifteen of them are in Africa.
 
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Correlations > Education Statistics > Students from households with dictionary > Age 9

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Correlations between Education > Students from households with dictionary > Age 9 ...

Variable Strength
...and  Education > Students from households with dictionary > Age 13 83% [plot | correlate | graph]
...and  Health > Probability of dying before 5 > Females (inverse) 80% [plot | correlate | graph]
...and  Education > Students from households with calculator > Age 9 70% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Females 69% [plot | correlate | graph]
...and  Education > Teacher qualifications > Years experience > Age 13 (inverse) 68% [plot | correlate | graph]
...and  Health > Life expectancy at birth, years > Females 68% [plot | correlate | graph]
...and  Labor > Economic activity > Men aged 65 plus (inverse) 67% [plot | correlate | graph]
...and  Military > Manpower > Fit for military service > Males age 15-49 (inverse) 66% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 65 plus (inverse) 63% [plot | correlate | graph]
...and  Economy > Human Development Index 62% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Total population 59% [plot | correlate | graph]
...and  People > Gender development 59% [plot | correlate | graph]
...and  Education > Students from households with calculator > Age 13 59% [plot | correlate | graph]
...and  Health > Probability of reaching 65 > Female 55% [plot | correlate | graph]
...and  Education > Students from households with study desk > Age 9 54% [plot | correlate | graph]
...and  Health > Life expectancy at birth, years > Total population 53% [plot | correlate | graph]
...and  People > Female population > Age 20-24 > % of the total (inverse) 52% [plot | correlate | graph]
...and  Economy > Economic freedom 51% [plot | correlate | graph]
...and  People > Total population > Age 20-24 > % of the total (inverse) 51% [plot | correlate | graph]
...and  People > Female population > Age 10-14 > % of the total (inverse) 51% [plot | correlate | graph]
...and  People > Total population > Age 10-14 > % of the total (inverse) 50% [plot | correlate | graph]
...and  People > Male population > Age 20-24 > % of the total (inverse) 50% [plot | correlate | graph]
...and  People > Male population > Age 10-14 > % of the total (inverse) 49% [plot | correlate | graph]
...and  People > Total population > Age 55-59 > % of the total 48% [plot | correlate | graph]
...and  People > Female population > Age 15-19 > % of the total (inverse) 48% [plot | correlate | graph]
...and  People > Total population > Age 15-19 > % of the total (inverse) 48% [plot | correlate | graph]
...and  Health > Tuberculosis cases > Per 100,000 (inverse) 48% [plot | correlate | graph]
...and  People > Male population > Age 15-19 > % of the total (inverse) 48% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Males 48% [plot | correlate | graph]
...and  Religion > Islam > Percentage Muslim (inverse) 48% [plot | correlate | graph]
...and  People > Female population > Age 55-59 > % of the total 47% [plot | correlate | graph]
...and  People > Male population > Age 55-59 > % of the total 46% [plot | correlate | graph]
...and  People > Total population > Age 50-54 > % of the total 45% [plot | correlate | graph]
...and  People > Female population > Age 50-54 > % of the total 45% [plot | correlate | graph]
...and  People > Male population > Age 65-69 > % of the total 44% [plot | correlate | graph]
...and  People > Age structure > 0-14 years (inverse) 43% [plot | correlate | graph]
...and  People > Male population > Age 25-29 > % of the total (inverse) 43% [plot | correlate | graph]
...and  People > Male population > Age 50-54 > % of the total 43% [plot | correlate | graph]
...and  People > Male population > Age 75-79 > % of the total 42% [plot | correlate | graph]
...and  Health > Life expectancy at birth, years > Males 41% [plot | correlate | graph]
...and  People > Total population > Age 25-29 > % of the total (inverse) 41% [plot | correlate | graph]
...and  People > Male population > Age 70-74 > % of the total 40% [plot | correlate | graph]
...and  People > Total population > Age 75-79 > % of the total 40% [plot | correlate | graph]
...and  People > Male population > Age 60-64 > % of the total 39% [plot | correlate | graph]
...and  People > Female population > Age 25-29 > % of the total (inverse) 38% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 65 plus (inverse) 36% [plot | correlate | graph]
...and  Education > School life expectancy > Female 35% [plot | correlate | graph]
...and  People > Total population > Age 70-74 > % of the total 35% [plot | correlate | graph]
...and  People > Total population > Age 60-64 > % of the total 35% [plot | correlate | graph]
...and  People > Total population > Age 75-79 (inverse) 34% [plot | correlate | graph]
Average: 51%

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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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 percentage of nine-year-old students who come from households with a dictionary.

SOURCE: "Efficiency and Equity in Schools around the World" by Eric A. Hanushek and Javier A. Luque, April 2002

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