FACTOID # 4: The average woman in New Zealand doesn't give birth until she is nearly 30 years old.
 
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Correlations > Health Statistics > Practising physicians

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Showing latest available data.

Correlations between Health > Practising physicians ...

Variable Strength
...and  Food > Bottled water consumption 52% [plot | correlate | graph]
...and  Food > Wine consumption 51% [plot | correlate | graph]
...and  Education > Educational attainment > Tertiary (inverse) 49% [plot | correlate | graph]
...and  Economy > Income distribution > Richest 20% (inverse) 44% [plot | correlate | graph]
...and  Economy > Income distribution > Richest 10% (inverse) 44% [plot | correlate | graph]
...and  Agriculture > Cotton stocks (inverse) 43% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of commercial vessels, other (inverse) 43% [plot | correlate | graph]
...and  People > Women > Skilled attendant at delivery % 43% [plot | correlate | graph]
...and  Food > Tea consumption (inverse) 42% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 25-29 42% [plot | correlate | graph]
...and  Media > Mobile phones 42% [plot | correlate | graph]
...and  Education > Pupils-teacher ratio > primary level (inverse) 41% [plot | correlate | graph]
...and  Taxation > Total taxation as % of GDP 41% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of cotton, raw (inverse) 40% [plot | correlate | graph]
...and  People > Women > Maternal mortality ratio > reported (inverse) 40% [plot | correlate | graph]
...and  Education > Repitition rate > Primary level (inverse) 40% [plot | correlate | graph]
...and  Education > Students from households with study desk > Age 13 39% [plot | correlate | graph]
...and  People > Female population > Age 75-79 > % of the total 38% [plot | correlate | graph]
...and  Taxation > Components of taxation > Property tax (inverse) 38% [plot | correlate | graph]
...and  People > Couples with children 38% [plot | correlate | graph]
...and  People > Size of houses (inverse) 38% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 30-34 38% [plot | correlate | graph]
...and  People > Female population > Age 20-24 > % of the total (inverse) 37% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of oilseeds, food oils (inverse) 37% [plot | correlate | graph]
...and  Health > Maternal mortality (inverse) 37% [plot | correlate | graph]
...and  People > Total population > Age 20-24 > % of the total (inverse) 37% [plot | correlate | graph]
...and  People > Women > Maternal mortality ratio adjusted (inverse) 36% [plot | correlate | graph]
...and  Labor > Agricultural workers > Male (inverse) 36% [plot | correlate | graph]
...and  Media > Newspapers (inverse) 36% [plot | correlate | graph]
...and  Education > Pupils-teacher ratio > secondary level (inverse) 36% [plot | correlate | graph]
...and  People > Male population > Age 20-24 > % of the total (inverse) 36% [plot | correlate | graph]
...and  People > Total population > Age 75-79 > % of the total 36% [plot | correlate | graph]
...and  Labor > Economic activity > Men aged 65 plus (inverse) 36% [plot | correlate | graph]
...and  Environment > Urban SO2 concentration (inverse) 35% [plot | correlate | graph]
...and  People > Female population > Age 20-24 (inverse) 35% [plot | correlate | graph]
...and  People > Female population > Age 10-14 (inverse) 35% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of meat, poultry, etc (inverse) 35% [plot | correlate | graph]
...and  People > Total population > Age 10-14 (inverse) 35% [plot | correlate | graph]
...and  People > Male population > Age 10-14 (inverse) 35% [plot | correlate | graph]
...and  People > Total population > Age 20-24 (inverse) 35% [plot | correlate | graph]
...and  People > Female population > Age 15-19 (inverse) 35% [plot | correlate | graph]
...and  People > Total population > Age 15-19 (inverse) 35% [plot | correlate | graph]
...and  People > Male population > Age 20-24 (inverse) 35% [plot | correlate | graph]
...and  People > Male population > Age 15-19 (inverse) 35% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 30-34 34% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 65 plus (inverse) 34% [plot | correlate | graph]
...and  People > Female population > Age 15-19 > % of the total (inverse) 34% [plot | correlate | graph]
...and  People > Age structure > 0-14 years (inverse) 34% [plot | correlate | graph]
...and  Agriculture > Labor share (inverse) 33% [plot | correlate | graph]
...and  People > Total population > Age 15-19 > % of the total (inverse) 33% [plot | correlate | graph]
Average: 38%

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: Number of doctors in the country per 1,000 people (Data for 2002).

SOURCE: OECD Health Data 2004

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