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Correlations > Military Statistics > Total Military Recruits: Army, Navy, Air Force (per capita)

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Correlations between Military > Total Military Recruits: Army, Navy, Air Force (per capita) ...

Variable Strength
...and  Education > Elementary & Secondary > Ungraded Students (inverse) 36% [plot | correlate | graph]
...and  Military > Total Air Force Recruits (per capita) 36% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (inverse) 35% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll (inverse) 33% [plot | correlate | graph]
...and  Military > Total Navy Recruits (per capita) 31% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (inverse) 29% [plot | correlate | graph]
...and  Military > Total Army Recruits (per capita) 29% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Pacific Islander 28% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials (inverse) 28% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments (inverse) 27% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added (inverse) 27% [plot | correlate | graph]
...and  People > Percent of Civilian Population Who are Veterans 27% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials (inverse) 27% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Ungraded Students (per capita) (inverse) 27% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing (inverse) 25% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent Other 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (inverse) 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (inverse) 24% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (inverse) 24% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added 23% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (inverse) 23% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (inverse) 23% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees (inverse) 22% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (inverse) 22% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing (inverse) 22% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (inverse) 21% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (inverse) 21% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (inverse) 20% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) (inverse) 20% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (inverse) 20% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (inverse) 20% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing (inverse) 20% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing (inverse) 19% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing (inverse) 19% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (inverse) 19% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages (inverse) 19% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Production workers wages (per $ GDP) 18% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (inverse) 18% [plot | correlate | graph]
...and  Health > Change in Number of Uninsured Children (inverse) 18% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures (inverse) 18% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Bookmobiles (inverse) 18% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures (inverse) 18% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) (inverse) 17% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total capital expenditures (per $ GDP) 17% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (inverse) 17% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (inverse) 17% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees (inverse) 17% [plot | correlate | graph]
Average: 23%

About Correlations:

A correlation is a statistical measure of similarity between at least two given sets of data. StateMaster'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 states, rather subsets of states matched together.

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NOTES:

  • Outliers have been removed only where they are outside 3 standard deviations of the mean.
  • Only variable pairs where at least 15 states 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: Total Military Recruits: Army, Navy, Air Force. The number of total military recruits in 2004 from the Army, Army Reserves, Navy, Navy Reserves and the Air Force. Per capita figures expressed per 10,000 population.

SOURCE: National Priorities Project Database, 2004

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