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Correlations > Education Statistics > Teacher qualifications > Share with special training > Age 13

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Correlations between Education > Teacher qualifications > Share with special training > Age 13 ...

Variable Strength
...and  Environment > Water > Severe water stress (inverse) 66% [plot | correlate | graph]
...and  Media > Cinemas (inverse) 65% [plot | correlate | graph]
...and  Labor > Unemployment gender ratio (inverse) 62% [plot | correlate | graph]
...and  People > Male population > Age 70-74 > % of the total (inverse) 52% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of logs and lumber (inverse) 50% [plot | correlate | graph]
...and  People > Male population > Age 75-79 > % of the total (inverse) 50% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Crustaceans molluscs etc (inverse) 50% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Milk products excl butter cheese (inverse) 48% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of vegetables and preparations (inverse) 48% [plot | correlate | graph]
...and  Agriculture > Cotton production (inverse) 47% [plot | correlate | graph]
...and  Education > Library members (inverse) 46% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Tobacco, raw and wastes (inverse) 46% [plot | correlate | graph]
...and  Military > Weapon holdings (inverse) 46% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Cotton (inverse) 43% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Cork natural raw waste (inverse) 42% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Furskins tanned dressed (inverse) 42% [plot | correlate | graph]
...and  People > Male population > Age 15-19 > % of the total 42% [plot | correlate | graph]
...and  People > Total population > Age 15-19 > % of the total 42% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of food oils and oilseeds (inverse) 41% [plot | correlate | graph]
...and  People > Male population > Age 90-94 > % of the total (inverse) 41% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of parts for military-type goods (inverse) 41% [plot | correlate | graph]
...and  Health > Suicide rate > Young males 41% [plot | correlate | graph]
...and  People > Female population > Age 15-19 > % of the total 41% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Fish, live fresh chilled frozen (inverse) 40% [plot | correlate | graph]
...and  Lifestyle > Happiness level > Quite happy (inverse) 39% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of railway transportation equipment (inverse) 38% [plot | correlate | graph]
...and  Labor > Regulation > Hiring (inverse) 38% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Motor vehicles parts accessories (inverse) 38% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Cork manufactures (inverse) 37% [plot | correlate | graph]
...and  People > Male population > Age 95-99 > % of the total (inverse) 37% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Women girl wear knit croch (inverse) 37% [plot | correlate | graph]
...and  Agriculture > Cotton exports (inverse) 37% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Cork manufactures (inverse) 36% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Road motor vehicles nes (inverse) 36% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of pleasure boats and motors (inverse) 36% [plot | correlate | graph]
...and  Labor > Female economic activity 35% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Live animals except fish (inverse) 35% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Primary ethylene polymer (inverse) 35% [plot | correlate | graph]
...and  Environment > Water > Salinisation (inverse) 35% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Ferrous waste scrap (inverse) 34% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 20-24 34% [plot | correlate | graph]
...and  Military > Conventional arms imports (inverse) 33% [plot | correlate | graph]
...and  People > Total population > Age 70-74 > % of the total (inverse) 33% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Fish, dried salted smoked (inverse) 33% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of alcoholic beverages, excluding wine (inverse) 32% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Goods service vehicles (inverse) 32% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Furskins tanned dressed (inverse) 31% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 45-49 31% [plot | correlate | graph]
...and  Religion > Catholic > Total Priests (inverse) 31% [plot | correlate | graph]
...and  Religion > Catholic > Religious Priests (inverse) 31% [plot | correlate | graph]
Average: 41%

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: Of those teachers who teach students aged 13, the percentage who have specialised teacher training.

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

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