FACTOID # 5: 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 > Student attitude > Report class disorder

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Correlations between Education > Student attitude > Report class disorder ...

Variable Strength
...and  Labor > Youth unemployment 64% [plot | correlate | graph]
...and  Education > Share of university qualifications awarded to females > First degree 53% [plot | correlate | graph]
...and  Education > Share of university qualifications awarded to females 53% [plot | correlate | graph]
...and  Lifestyle > Confidence in social institutions > Companies 49% [plot | correlate | graph]
...and  Economy > Male to female earnings (inverse) 48% [plot | correlate | graph]
...and  Education > Share of university qualifications awarded to females > Second degree 46% [plot | correlate | graph]
...and  Lifestyle > Undesirable neighbours > People with AIDS (inverse) 43% [plot | correlate | graph]
...and  Labor > Economic activity > Men aged 50-54 (inverse) 42% [plot | correlate | graph]
...and  Lifestyle > Political action > Attended a demonstration 41% [plot | correlate | graph]
...and  Health > Births > Low birth weight (inverse) 38% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Silver platinum etc (inverse) 38% [plot | correlate | graph]
...and  Economy > Informal economy 38% [plot | correlate | graph]
...and  Agriculture > Workers per hectare (inverse) 36% [plot | correlate | graph]
...and  Labor > Unemployment and education > Tertiary 36% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 30-34 36% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of fuel oil 36% [plot | correlate | graph]
...and  Labor > Unemployment 36% [plot | correlate | graph]
...and  Education > Share of university qualifications awarded to females > Advanced research degree 35% [plot | correlate | graph]
...and  Labor > Regulation > Hiring 34% [plot | correlate | graph]
...and  Health > % immunized 1-year-old children > Polio3 33% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 30-34 32% [plot | correlate | graph]
...and  Education > School life expectancy > Female 32% [plot | correlate | graph]
...and  Taxation > Total tax wedge > Single-income family 31% [plot | correlate | graph]
...and  Taxation > Components of taxation > Social security > Employees contribution (inverse) 31% [plot | correlate | graph]
...and  Taxation > Total taxation as % of GDP 31% [plot | correlate | graph]
...and  Lifestyle > Happiness level > Quite happy 30% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of spacecraft, excluding military (inverse) 29% [plot | correlate | graph]
...and  Education > Proportion of 20 year olds in tertiary education 29% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of records, tapes, and disks (inverse) 29% [plot | correlate | graph]
...and  Lifestyle > Undesirable neighbours > Political extremists (inverse) 28% [plot | correlate | graph]
...and  Internet > Linux web servers (inverse) 28% [plot | correlate | graph]
...and  Labor > Unemployment and education > Upper secondary 27% [plot | correlate | graph]
...and  Agriculture > Tractor concentration (inverse) 27% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Hide skin excl fur raw (inverse) 27% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Silver platinum etc (inverse) 26% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Fruit nuts, fresh dried 26% [plot | correlate | graph]
...and  Labor > Work Time > More than 40 hours (inverse) 25% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of railway transportation equipment (inverse) 25% [plot | correlate | graph]
...and  Disasters > Tsunami > Foreign tourists missing (inverse) 25% [plot | correlate | graph]
...and  Environment > Expenditure pollution control as % of GDP (inverse) 25% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Trunks and cases 24% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of agric industry-unmanufactured (inverse) 23% [plot | correlate | graph]
...and  Labor > Regulation 23% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 20-24 (inverse) 23% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of soybeans (inverse) 23% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of photographic and optical equipment (inverse) 23% [plot | correlate | graph]
...and  Health > Hospital beds (inverse) 22% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Dyeing tanning extracts (inverse) 22% [plot | correlate | graph]
...and  Economy > Social security expenditure as % of GDP 22% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of wood, glass, plastic (inverse) 22% [plot | correlate | graph]
Average: 32%

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: Percentage of students who report high noise level and disorder in classes (2000).

SOURCE: OECD

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