FACTOID # 1: Statistically, Delaware bears more cost of the US Military than any other state.
 
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Correlations > Military Statistics > DOD Inactive Military Employees > Salaries & Wages (per capita)

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

Correlations between Military > DOD Inactive Military Employees > Salaries & Wages (per capita) ...

Variable Strength
...and  Military > DOD Inactive Military Employees > Salaries & Wages (per $ GDP) 60% [plot | correlate | graph]
...and  Health > Beds 47% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Four Year (per capita) 45% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 43% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Administrative and support services (per capita) (inverse) 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Administrative and support services (per capita) (inverse) 43% [plot | correlate | graph]
...and  Health > Inpatient Days 42% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 41% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Total Degree Granting Title IV Eligible (per capita) 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Other professional, scientific and technical services (per capita) (inverse) 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Other professional, scientific and technical services (per capita) (inverse) 36% [plot | correlate | graph]
...and  Health > % Point Change in Medicaid 35% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Construction (inverse) 34% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Federal Revenue- Subtotal (per capita) 34% [plot | correlate | graph]
...and  Health > Number of HMOs (inverse) 34% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Construction (inverse) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Construction (inverse) 33% [plot | correlate | graph]
...and  Economy > Total tax burden (inverse) 33% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Construction (inverse) 32% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Other professional, scientific and technical services (per capita) (inverse) 32% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP) 31% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic (inverse) 31% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > White (per capita) 31% [plot | correlate | graph]
...and  People > Population (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Retail trade (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (inverse) 31% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > Gross State Product > Current Dollars (inverse) 30% [plot | correlate | graph]
...and  Education > Public Libraries > Children's Program Attendance (inverse) 30% [plot | correlate | graph]
...and  Education > Public Libraries > Users of Electronic Resources (inverse) 30% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Annual payroll (inverse) 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (inverse) 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (inverse) 30% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 30% [plot | correlate | graph]
...and  Government > 2004 Election > Total voted (inverse) 30% [plot | correlate | graph]
...and  Economy > Personal income (inverse) 30% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Ambulatory health care services (inverse) 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Retail trade (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Retail trade (inverse) 29% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Support Services Expenditure- Subtotal (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Amusements, gambling, and recreation (inverse) 29% [plot | correlate | graph]
...and  Industry > Industrial firms > Percent over 500 employess 29% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Transit and ground passenger transportation (inverse) 29% [plot | correlate | graph]
...and  Military > Cost of the Military (inverse) 29% [plot | correlate | graph]
...and  Military > Cost of Nuclear Weapons (inverse) 29% [plot | correlate | graph]
...and  Health > Total Dentists (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Retail trade (inverse) 29% [plot | correlate | graph]
...and  Government > Seats in the House of Representatives (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Transit and ground passenger transportation (inverse) 29% [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



DEFINITION: DOD Inactive Military Employees - Salaries & Wages . This data set shows the amount of money in wages and salaries paid to inactive military employees of the Department of Defense in the selected location. Per capita figures expressed per 1 population.

SOURCE: National Priorities Project Database, 2004

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