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Correlations > Economy Statistics > GSP > Gross Operating Surplus > Federal military (per capita)

DEFINITION: Federal military, Gross Operating Surplus (current dollars) Per capita figures expressed per 1 population.
VIEW DATA:   Totals   Per capita   Per $ GDP  
Definition     Source      Printable version   
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Showing latest available data.

Correlations between Economy > GSP > Gross Operating Surplus > Federal military (per capita) ...

Variable Strength
...and  Economy > GSP > Real GSP > Federal military (per capita) 99% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per capita) 99% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per capita) 98% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per $ GDP) 75% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per $ GDP) 71% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per $ GDP) 71% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per $ GDP) 62% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Accommodation (per capita) 60% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Accommodation (per capita) 57% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Accommodation (per capita) 57% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (per $ GDP) 54% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent White (inverse) 54% [plot | correlate | graph]
...and  Military > DOD Civilian Employees > Salaries & Wages (per capita) 53% [plot | correlate | graph]
...and  Military > DOD Civilian Employees > Salaries & Wages (per $ GDP) 53% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries (per $ GDP) 52% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries (per capita) 52% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 45% [plot | correlate | graph]
...and  People > Percent of People Who are White Alone (inverse) 45% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People Who are Private Wage and Salary Workers (inverse) 44% [plot | correlate | graph]
...and  Education > Public Libraries > Federal Revenue (per capita) 43% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 40% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wholesale trade (per $ GDP) (inverse) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wholesale trade (per $ GDP) (inverse) 40% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal civilian (per capita) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal civilian (per capita) 40% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Computer systems design and related services 39% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 37% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours 36% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Female 35% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Male (inverse) 35% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per capita) (inverse) 34% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Insurance carriers and related activities 34% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) 34% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Pacific Islander 33% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Manufacturing Industry (inverse) 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Accommodation (per $ GDP) 33% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 32% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Forestry, fishing, and related activities (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wholesale trade (per $ GDP) (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Accommodation (per $ GDP) 31% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Asian/Pacific Islander 31% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 31% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Accommodation (per $ GDP) 31% [plot | correlate | graph]
...and  Health > % Point Change in Medicaid 30% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per $ GDP) (inverse) 30% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added 29% [plot | correlate | graph]
...and  People > Percent of People Who are White Alone, Not Hispanic or Latino (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per capita) (inverse) 29% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown (per capita) 29% [plot | correlate | graph]
Average: 45%

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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