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Correlations > Labor Statistics > Female doctors

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Showing latest available data.

Correlations between Labor > Female doctors ...

Variable Strength
...and  Health > Consultation with doctors (inverse) 64% [plot | correlate | graph]
...and  Health > Births > Low birth weight (inverse) 60% [plot | correlate | graph]
...and  Labor > Regulation > Firing 53% [plot | correlate | graph]
...and  Crime > Rape victims 51% [plot | correlate | graph]
...and  Environment > Breeding birds threatened (inverse) 51% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Precious metal ore conc (inverse) 50% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of pulpwood and woodpulp 48% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Wood manufactures nes (inverse) 48% [plot | correlate | graph]
...and  Government > Parliamentary seats > Female 47% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Special transactions nes (inverse) 47% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Printing industry machinery (inverse) 47% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Pearls precious stones (inverse) 45% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of newsprint (inverse) 45% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of coal and fuels, other (inverse) 45% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of sorghum, barley, oats (inverse) 44% [plot | correlate | graph]
...and  Disasters > Funds committed to emergency Tsunami aid (inverse) 44% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of vegetables (inverse) 44% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of glass-plate, sheet, etc (inverse) 43% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of hair, waste materials (inverse) 43% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of dairy products and eggs (inverse) 42% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of complete and assembled (inverse) 42% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Hand machine tools (inverse) 42% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 65 plus (inverse) 41% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of oilseeds, food oils (inverse) 41% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of petroleum products, other (inverse) 41% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of other foods (inverse) 41% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of apparel, household goods > textile (inverse) 41% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 65 plus (inverse) 41% [plot | correlate | graph]
...and  Labor > Economic activity > Men aged 65 plus (inverse) 40% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Dyeing tanning extracts (inverse) 40% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of fruits, frozen juices (inverse) 40% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Optical instruments nes (inverse) 39% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Wood simply worked (inverse) 39% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of cotton, raw (inverse) 39% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Nails screws nuts bolts (inverse) 39% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Nickel-ferrum base metal waste nes (inverse) 39% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of sports apparel and gear (inverse) 38% [plot | correlate | graph]
...and  Economy > Population below median income (inverse) 37% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of bakery products (inverse) 37% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of shingles, molding, wallboard (inverse) 37% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of railway transportation equipment (inverse) 37% [plot | correlate | graph]
...and  Education > Proportion of 18 year olds in secondary education 37% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Metal machine tool parts (inverse) 36% [plot | correlate | graph]
...and  Food > McDonalds restaurants (inverse) 36% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Measure control appliances nes (inverse) 35% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of aluminum and alumina (inverse) 35% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Other inorganic chemical (inverse) 35% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of soybeans (inverse) 35% [plot | correlate | graph]
...and  Energy > Wall plugs > Voltage 35% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of industrial machines, other (inverse) 35% [plot | correlate | graph]
Average: 42%

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: Female doctors as % of the total - 2000.

SOURCE: OECD Health Data 2002 (CD ROM) available year for Australia, Japan = 1998; Denmark = 1995; 1980 figures for Canada and France are interpolated

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