FACTOID # 4: The total area of Australia’s coral reefs is greater than the total area of any of 130 individual countries, including Slovakia, the Dominican Republic, Kuwait, Singapore, and Rwanda.
 
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Correlations > Environment Statistics > Biodiversity richness

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Showing latest available data.

Correlations between Environment > Biodiversity richness ...

Variable Strength
...and  Economy > World Trade > Exports > Misc non-ferrous base metal 42% [plot | correlate | graph]
...and  Environment > Threatened species > Mammal (inverse) 40% [plot | correlate | graph]
...and  Sports > Chess > World Chess Rankings (inverse) 39% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of spacecraft, excluding military 39% [plot | correlate | graph]
...and  Environment > Known mammal species (inverse) 37% [plot | correlate | graph]
...and  Terrorism > Collective Political Violence in the 1990s with Excessive Targeting of Civilians (inverse) 36% [plot | correlate | graph]
...and  Environment > Threatened species (inverse) 33% [plot | correlate | graph]
...and  Environment > Known breeding bird species (inverse) 32% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Vinyl chloride etc polymers 31% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Iron steel railway material 31% [plot | correlate | graph]
...and  Labor > Female decision makers (inverse) 29% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Man-made fibres nes wast 27% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Radio-active etc material 25% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Base metal ore conc nes 25% [plot | correlate | graph]
...and  Economy > Business efficiency 25% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Styrene primary polymers 25% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of complete and assembled 25% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Organo-inorganic compounds 24% [plot | correlate | graph]
...and  Religion > Catholic > Dioceses (inverse) 23% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Office machines 21% [plot | correlate | graph]
...and  Geography > Largest city population (inverse) 21% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Printing industry machinery 21% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Rubber synthetic waste etc 21% [plot | correlate | graph]
...and  Energy > Natural Gas Proved reserves > Trillion cubic metres 21% [plot | correlate | graph]
...and  Energy > Natural Gas Proved reserves > Trillion cubic metres > Share of total 21% [plot | correlate | graph]
...and  Media > Royalties and fees 21% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Engines non-electric nes 21% [plot | correlate | graph]
...and  Sports > Chess > International Masters (inverse) 21% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Spices (inverse) 20% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Sulphur unroastd pyrites 20% [plot | correlate | graph]
...and  Health > Private expenditure on health as % of total expenditure on health (inverse) 20% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Plastic waste scrap 20% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Nickel-ferrum base metal waste nes 20% [plot | correlate | graph]
...and  Economy > Debt service (inverse) 19% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Medical etc electronic diagnostics equipment 19% [plot | correlate | graph]
...and  People > Female population > Age 10-14 (inverse) 19% [plot | correlate | graph]
...and  People > Total population > Age 10-14 (inverse) 19% [plot | correlate | graph]
...and  People > Male population > Age 10-14 (inverse) 19% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Goods service vehicles 19% [plot | correlate | graph]
...and  Sports > Chess > GrandMasters (inverse) 18% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Power generating equipment nes 18% [plot | correlate | graph]
...and  Environment > Non-wildness 18% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Metal machine tool parts 18% [plot | correlate | graph]
...and  Agriculture > Permanent crops (inverse) 18% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of hides and skins 18% [plot | correlate | graph]
...and  Crime > Prisoners > Pre-trial detainees (inverse) 18% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Fuel wood wood charcoal (inverse) 18% [plot | correlate | graph]
...and  People > Female population > Age 15-19 (inverse) 18% [plot | correlate | graph]
...and  People > Total population > Age 15-19 (inverse) 18% [plot | correlate | graph]
...and  People > Male population > Age 15-19 (inverse) 18% [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: Caldecott, J.O., M.D. Jenkins, T. Johnson and B. Groombridge. 1994. Priorities for Conserving Global Species Richness and Endemism. In World Conservation Monitoring Centre, Biodiversity Series No. 3 (N. Mark Collins, ed.) pp. 17. World Conservation Press, Cambridge, UK.

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