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 > Army Recruits: Percent Male

DEFINITION: Army Recruits: Percent Male.
VIEW DATA:   Totals  
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Showing latest available data.

Correlations between Military > Army Recruits: Percent Male ...

Variable Strength
...and  Military > Army Recruits: Percent Female (inverse) 100% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent White 76% [plot | correlate | graph]
...and  People > Percent of People Who are White Alone 51% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (inverse) 42% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (inverse) 41% [plot | correlate | graph]
...and  People > Percent of People Who are White Alone, Not Hispanic or Latino 40% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (inverse) 40% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent White 40% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (inverse) 39% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (inverse) 39% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per capita) (inverse) 35% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Black (inverse) 34% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) (inverse) 32% [plot | correlate | graph]
...and  Health > HIV Testing Rate > Past 12 Months (inverse) 32% [plot | correlate | graph]
...and  Health > Flu shot 32% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per capita) 32% [plot | correlate | graph]
...and  Health > Tobacco use > Former smokers 31% [plot | correlate | graph]
...and  People > Percent of People Who are Black or African American Alone (inverse) 31% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Black, non-Hispanic (per capita) (inverse) 30% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic (per capita) 30% [plot | correlate | graph]
...and  People > Total Black Population (per capita) (inverse) 30% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) 30% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (inverse) 30% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (inverse) 30% [plot | correlate | graph]
...and  Health > Disability prevalence 30% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per capita) (inverse) 29% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 29% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Pacific Islander (inverse) 28% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 28% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Black, Non-Hispanic (per capita) (inverse) 28% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (inverse) 28% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Black, Non-Hispanic (per capita) (inverse) 27% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (inverse) 27% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent Other (inverse) 27% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 26% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials (inverse) 26% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Female (inverse) 26% [plot | correlate | graph]
...and  Education > Assessments > % of Students Above Basic > Grade 8 Science 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per $ GDP) (inverse) 26% [plot | correlate | graph]
...and  Health > HIV Testing Rate > Ever Tested (inverse) 25% [plot | correlate | graph]
...and  Health > Chlamydia Rate (inverse) 25% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per $ GDP) (inverse) 25% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent Black (inverse) 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Ambulatory health care services (per $ GDP) 25% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Ambulatory health care services (per $ GDP) 25% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Federal military (inverse) 24% [plot | correlate | graph]
...and  Health > Gonorrhea Rate (inverse) 24% [plot | correlate | graph]
...and  Education > Assessments > % of Students Above Basic > Grade 8 Reading 24% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (inverse) 24% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added (per $ GDP) 24% [plot | correlate | graph]
Average: 33%

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
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