FACTOID # 10: Kids in Mali spend only 2 years in school. More than half of them start working between the ages of 10 and 14.
 
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Correlations > Education Statistics > Grade 12 advanced students science

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Showing latest available data.

Correlations between Education > Grade 12 advanced students science ...

Variable Strength
...and  Democracy > Female parliamentarians 47% [plot | correlate | graph]
...and  Education > Education spending (% of GDP) 33% [plot | correlate | graph]
...and  Health > HIVAIDS > Adult prevalence rate 15-49 years, (inverse) 33% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Vegetables textile fibre excl cot ju (inverse) 32% [plot | correlate | graph]
...and  People > Male population > Age 60-64 > % of the total 32% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 60-64 30% [plot | correlate | graph]
...and  Agriculture > Permanent crops (inverse) 30% [plot | correlate | graph]
...and  Education > Female enrolment share > Secondary level 28% [plot | correlate | graph]
...and  Terrorism > Global Terrorism Indicator (inverse) 28% [plot | correlate | graph]
...and  Religion > Catholics (inverse) 25% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Tulle lace embr trim etc (inverse) 25% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 55-59 25% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Knit crochet fabrics (inverse) 24% [plot | correlate | graph]
...and  Education > Female enrolment share > Primary level 24% [plot | correlate | graph]
...and  Media > Phone subscribers 24% [plot | correlate | graph]
...and  People > Total population > Age 60-64 > % of the total 24% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Men boy wear knit croch (inverse) 23% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 60-64 23% [plot | correlate | graph]
...and  People > Female population > Age 30-34 (inverse) 22% [plot | correlate | graph]
...and  People > Female population > Age 25-29 (inverse) 22% [plot | correlate | graph]
...and  People > Total population > Age 30-34 (inverse) 22% [plot | correlate | graph]
...and  People > Total population > Age 25-29 (inverse) 22% [plot | correlate | graph]
...and  People > Male population > Age 30-34 (inverse) 22% [plot | correlate | graph]
...and  People > Male population > Age 25-29 (inverse) 22% [plot | correlate | graph]
...and  People > Female population > Age 20-24 (inverse) 22% [plot | correlate | graph]
...and  People > Total population > Age 20-24 (inverse) 22% [plot | correlate | graph]
...and  People > Male population > Age 20-24 (inverse) 22% [plot | correlate | graph]
...and  People > Female population > Age 55-59 (inverse) 22% [plot | correlate | graph]
...and  Media > Cinema attendance (inverse) 22% [plot | correlate | graph]
...and  People > Female population > Age 10-14 (inverse) 22% [plot | correlate | graph]
...and  People > Total population > Age 10-14 (inverse) 22% [plot | correlate | graph]
...and  People > Male population > Age 10-14 (inverse) 22% [plot | correlate | graph]
...and  People > Total population > Age 55-59 (inverse) 22% [plot | correlate | graph]
...and  People > Female population > Age 15-19 (inverse) 21% [plot | correlate | graph]
...and  People > Total population > Age 15-19 (inverse) 21% [plot | correlate | graph]
...and  People > Male population > Age 55-59 (inverse) 21% [plot | correlate | graph]
...and  People > Male population > Age 15-19 (inverse) 21% [plot | correlate | graph]
...and  People > Female population > Age 50-54 (inverse) 21% [plot | correlate | graph]
...and  People > Total population > Age 50-54 (inverse) 21% [plot | correlate | graph]
...and  Military > Manpower > Availability > Males age 15-49 (inverse) 21% [plot | correlate | graph]
...and  People > Total Population (inverse) 21% [plot | correlate | graph]
...and  People > Male population > Age 50-54 (inverse) 21% [plot | correlate | graph]
...and  People > Female population > Age 45-49 (inverse) 21% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Vegetables, fresh chilled frozen (inverse) 21% [plot | correlate | graph]
...and  People > Total population > Age 45-49 (inverse) 21% [plot | correlate | graph]
...and  People > Female population > Age 35-39 (inverse) 21% [plot | correlate | graph]
...and  People > Male population > Age 45-49 (inverse) 21% [plot | correlate | graph]
...and  Economy > Public institution index 21% [plot | correlate | graph]
...and  Democracy > Parliamentary elections > Voting age population (inverse) 21% [plot | correlate | graph]
...and  People > Total population > Age 35-39 (inverse) 21% [plot | correlate | graph]
Average: 24%

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.

VIEW FOR THIS VARIABLE:

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: Results of the Third International Mathematics and Science Study (TIMSS) involving a half-million students in 41 countries.

SOURCE: TIMSS

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