FACTOID # 8: Very few English speakers are not proud of their country.
 
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Correlations > Lifestyle Statistics > Will fight for country

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Correlations between Lifestyle > Will fight for country ...

Variable Strength
...and  Agriculture > Cotton imports (inverse) 81% [plot | correlate | graph]
...and  Agriculture > Tractors (inverse) 77% [plot | correlate | graph]
...and  People > Gender empowerment 72% [plot | correlate | graph]
...and  People > Gender empowerment measure 72% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of pulpwood and woodpulp (inverse) 68% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Barley grain (inverse) 68% [plot | correlate | graph]
...and  People > Total population > Age 10-14 > % of the total 67% [plot | correlate | graph]
...and  People > Male population > Age 10-14 > % of the total 67% [plot | correlate | graph]
...and  People > Female population > Age 10-14 > % of the total 67% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Wood simply worked (inverse) 67% [plot | correlate | graph]
...and  Economy > Gender income ratio 66% [plot | correlate | graph]
...and  Economy > Macroeconomic environment index 66% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Cotton (inverse) 66% [plot | correlate | graph]
...and  Energy > Oil Consumption > Million tonnes > Share of total (inverse) 64% [plot | correlate | graph]
...and  Energy > Oil Consumption > Thousand barrels daily > Share of total (inverse) 64% [plot | correlate | graph]
...and  Energy > Oil Consumption > Million tonnes (inverse) 64% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Alcohols phenols derivatives (inverse) 63% [plot | correlate | graph]
...and  Energy > Oil Consumption > Thousand barrels daily (inverse) 63% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Man-made woven fabrics (inverse) 61% [plot | correlate | graph]
...and  Crime > Perception of safety > Burglary 59% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Petrol bitum oil, crude (inverse) 58% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Elements oxides hal salt (inverse) 58% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Carboxylic acid compound (inverse) 58% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Motorcycles cycles etc (inverse) 57% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of copper (inverse) 56% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Men boy wear knit croch (inverse) 56% [plot | correlate | graph]
...and  Transportation > Vehicle abundance (inverse) 56% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Organo-inorganic compounds (inverse) 55% [plot | correlate | graph]
...and  Labor > Industrial workers > Female (inverse) 55% [plot | correlate | graph]
...and  Environment > Urban SO2 concentration (inverse) 54% [plot | correlate | graph]
...and  People > Gender development index 54% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Heavy petrol bitum oils (inverse) 54% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Woven textile fabric nes (inverse) 54% [plot | correlate | graph]
...and  Democracy > Civil and political liberties 54% [plot | correlate | graph]
...and  Economy > Policy competitiveness 53% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Watches and clocks (inverse) 53% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of finished textile industrial supplies (inverse) 53% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Mens boys wear, woven (inverse) 53% [plot | correlate | graph]
...and  Labor > Service workers > Female 53% [plot | correlate | graph]
...and  People > Female population > Age 75-79 (inverse) 52% [plot | correlate | graph]
...and  Education > Education spending (% of GDP) 52% [plot | correlate | graph]
...and  People > Total population > Age 70-74 > % of the total (inverse) 52% [plot | correlate | graph]
...and  People > Total population > Age 75-79 (inverse) 52% [plot | correlate | graph]
...and  Energy > Primary Energy Consumption > Million tonnes oil equivalent > Share of total (inverse) 52% [plot | correlate | graph]
...and  Energy > Primary Energy Consumption > Million tonnes oil equivalent (inverse) 52% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Rubber synthetic waste etc (inverse) 52% [plot | correlate | graph]
...and  People > Male population > Age 70-74 > % of the total (inverse) 52% [plot | correlate | graph]
...and  People > Female population > Age 70-74 > % of the total (inverse) 52% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of nonmetallic minerals (inverse) 52% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of jewelry watches, rings, etc (inverse) 51% [plot | correlate | graph]
Average: 59%

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: Percentage in 1990s surveys responding that they are willing to fight for their country.

SOURCE: World Values Survey

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