FACTOID # 3: 73.3% of America's gross operating surplus in motion picture and sound recording industries comes from California.
 
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Correlations > Economy Statistics > GSP > Real GSP > Federal military (per capita)

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Correlations between Economy > GSP > Real GSP > Federal military (per capita) ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Federal military (per capita) 100% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per capita) 99% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per capita) 99% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per $ GDP) 96% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per $ GDP) 93% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per $ GDP) 93% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per $ GDP) 85% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (per $ GDP) 55% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries (per capita) 55% [plot | correlate | graph]
...and  Military > DOD Civilian Employees > Salaries & Wages (per capita) 55% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries (per $ GDP) 52% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent Other 51% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 49% [plot | correlate | graph]
...and  Health > Number of Medicare PDPs (inverse) 48% [plot | correlate | graph]
...and  Military > DOD Civilian Employees > Salaries & Wages (per $ GDP) 45% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Pacific Islander 45% [plot | correlate | graph]
...and  Education > Public Libraries > Federal Revenue (per capita) 44% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent White (inverse) 42% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Accommodation (per capita) 42% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Asian/Pacific Islander 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal civilian (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal civilian (per capita) 41% [plot | correlate | graph]
...and  People > Percent of People Who are Two or More Races Excluding Some Other Race 39% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 39% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours 38% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 38% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People Who are Private Wage and Salary Workers (inverse) 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Accommodation (per capita) 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Accommodation (per capita) 37% [plot | correlate | graph]
...and  Labor > Percent of Workers Who Traveled to Work by Carpool 37% [plot | correlate | graph]
...and  Health > Organizations Offering Medicare PDPs (inverse) 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Accommodation (per $ GDP) 35% [plot | correlate | graph]
...and  People > Percent of People Who are Two or More Races 35% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) 34% [plot | correlate | graph]
...and  People > Percent of People Who are White Alone (inverse) 33% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 32% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Accommodation (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Computer systems design and related services 31% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added 31% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Accommodation (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Air transportation (per capita) 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Air transportation (per capita) 30% [plot | correlate | graph]
...and  Health > Skilled Nursing Facility Admissions (inverse) 29% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 28% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 28% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal civilian (per $ GDP) 28% [plot | correlate | graph]
Average: 46%

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: Federal military, Real GSP (chained 2000 dollars) GSP, or Gross State Product is the value of all the goods and services produced in a state. Specific industries measured will give the value of all goods and services in that industry. The Nominal Gross State Product measures the value of all the goods and services produced expressed in current prices. On the other hand, Real Gross State Product measures the value of all the goods and services produced expressed in the prices of some base year. Per capita figures expressed per 1 population.

SOURCE: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003.

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