FACTOID # 2: 15% of Army recruits from South Dakota are Native American, which is roughly the same percentage for female Army recruits in the state.
 
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Correlations > Military Statistics > DOD Active Military > Salaries & Wages (per $ GDP)

VIEW DATA:   Totals   Per capita   Per $ GDP  
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Showing latest available data.

Correlations between Military > DOD Active Military > Salaries & Wages (per $ GDP) ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Federal military (per $ GDP) 97% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per $ GDP) 97% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per capita) 96% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per capita) 96% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per $ GDP) 91% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per capita) 81% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per capita) 75% [plot | correlate | graph]
...and  Military > DOD Civilian Employees > Salaries & Wages (per capita) 59% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries (per $ GDP) 54% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries (per capita) 54% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (per $ GDP) 53% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Pacific Islander 50% [plot | correlate | graph]
...and  Military > DOD Civilian Employees > Salaries & Wages (per $ GDP) 49% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent Other 49% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP) 48% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Asian/Pacific Islander 46% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 45% [plot | correlate | graph]
...and  Health > Number of Medicare PDPs (inverse) 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Accommodation (per $ GDP) 40% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 40% [plot | correlate | graph]
...and  Education > Public Libraries > Federal Revenue (per capita) 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal civilian (per capita) 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal civilian (per capita) 38% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 38% [plot | correlate | graph]
...and  Labor > Percent of Workers Who Traveled to Work by Carpool 37% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Accommodation (per $ GDP) 37% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Accommodation (per $ GDP) 37% [plot | correlate | graph]
...and  People > Percent of People Who are White Alone (inverse) 36% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours 35% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People Who are Private Wage and Salary Workers (inverse) 34% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Accommodation (per capita) 33% [plot | correlate | graph]
...and  Education > Public Libraries > State Revenue (per capita) 32% [plot | correlate | graph]
...and  Health > Organizations Offering Medicare PDPs (inverse) 31% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 31% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) 31% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added 30% [plot | correlate | graph]
...and  Health > Skilled Nursing Facility Admissions (inverse) 30% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Computer systems design and related services 30% [plot | correlate | graph]
...and  Education > Public Libraries > State Revenue (per $ GDP) 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal civilian (per $ GDP) 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal civilian (per $ GDP) 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Accommodation (per capita) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Accommodation (per capita) 29% [plot | correlate | graph]
...and  People > Percent of People Who are Two or More Races Excluding Some Other Race 29% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 28% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures 27% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 27% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 27% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per capita) (inverse) 26% [plot | correlate | graph]
...and  Health > Skilled Nursing Facility Days of Care (inverse) 26% [plot | correlate | graph]
Average: 44%

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.

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 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: DOD Active Military - Salaries & Wages . This dataset indicates the amount of money in wages and salaries paid to active military employees of the Department of Defense in the selected location. Per $ GDP figures expressed per 1,000 $ gross domestic product.

SOURCE: National Priorities Project Database, 2004

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