StateMaster - Correlations > Economy > GSP > Real GSP

	Variable	Strength
...and	Economy > GSP > Nominal GSP > Federal military (per $ GDP)	100%	[plot \| correlate \| graph]
...and	Military > DOD Active Military > Salaries & Wages (per $ GDP)	97%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Federal military (per $ GDP)	96%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Federal military (per capita)	93%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Federal military (per capita)	93%	[plot \| correlate \| graph]
...and	Military > DOD Active Military > Salaries & Wages (per capita)	74%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Federal military (per capita)	71%	[plot \| correlate \| graph]
...and	Industry > Beverage & tobacco product manufacturing > Total value of shipments (per $ GDP)	46%	[plot \| correlate \| graph]
...and	Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP)	45%	[plot \| correlate \| graph]
...and	Military > Department of Defense > Procurement and All Salaries (per $ GDP)	45%	[plot \| correlate \| graph]
...and	Labor > Percent of Civilian Employed People Who are Private Wage and Salary Workers (inverse)	44%	[plot \| correlate \| graph]
...and	Military > Department of Defense > Procurement and All Salaries (per capita)	40%	[plot \| correlate \| graph]
...and	Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP)	40%	[plot \| correlate \| graph]
...and	Labor > Beverage & tobacco product manufacturing > Number of employees (per capita)	39%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Federal military	38%	[plot \| correlate \| graph]
...and	Military > DOD Civilian Employees > Salaries & Wages (per capita)	37%	[plot \| correlate \| graph]
...and	Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP)	35%	[plot \| correlate \| graph]
...and	Military > DOD Civilian Employees > Salaries & Wages (per $ GDP)	34%	[plot \| correlate \| graph]
...and	Labor > Textile mills > Production workers (average per year)	33%	[plot \| correlate \| graph]
...and	Labor > Textile mills > Production workers (average per year) (per capita)	30%	[plot \| correlate \| graph]
...and	Labor > Textile mills > Number of employees	30%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per capita) (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Fabricated metal product manufacturing (per capita) (inverse)	29%	[plot \| correlate \| graph]
...and	Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP)	29%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Insurance carriers and related activities	29%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Support activities for mining (per $ GDP)	29%	[plot \| correlate \| graph]
...and	Labor > Leather & allied product manufacturing > Production workers hours	28%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Federal civilian (per capita)	28%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Federal civilian (per capita)	28%	[plot \| correlate \| graph]
...and	Labor > Textile mills > Number of employees (per capita)	28%	[plot \| correlate \| graph]
...and	Industry > Total Manufacturing > Annual payroll (per capita) (inverse)	27%	[plot \| correlate \| graph]
...and	People > Percent of People Who are Two or More Races Excluding Some Other Race	27%	[plot \| correlate \| graph]
...and	Health > Occupational Fatality Rate	26%	[plot \| correlate \| graph]
...and	Industry > Beverage & tobacco product manufacturing > Total capital expenditures	26%	[plot \| correlate \| graph]
...and	Military > Army Recruits: Percent Male (inverse)	26%	[plot \| correlate \| graph]
...and	Military > Army Recruits: Percent Female	25%	[plot \| correlate \| graph]
...and	Industry > Textile mills > Value added	25%	[plot \| correlate \| graph]
...and	Health > Number of Medicare PDPs (inverse)	25%	[plot \| correlate \| graph]
...and	Labor > Leather & allied product manufacturing > Production workers (average per year)	25%	[plot \| correlate \| graph]
...and	Crime > State and Federal prisoners held in private facilities (per capita)	25%	[plot \| correlate \| graph]
...and	Lifestyle > Percent of Households With One or More People 65 Years and Over (inverse)	25%	[plot \| correlate \| graph]
...and	People > Percent of Households With One or More People 65 Years and Over (inverse)	25%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Pipeline transportation	24%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Pipeline transportation	24%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per $ GDP) (inverse)	24%	[plot \| correlate \| graph]
...and	Industry > Textile mills > Total value of shipments	24%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Fabricated metal product manufacturing (per $ GDP) (inverse)	24%	[plot \| correlate \| graph]
...and	Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita)	24%	[plot \| correlate \| graph]
...and	Military > Air Force Recruits: Percent White (inverse)	23%	[plot \| correlate \| graph]
...and	Military > Army Recruits: Percent Native American	23%	[plot \| correlate \| graph]
	Average:	38%

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.

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Map & Graph: states ranked

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 $ GDP figures expressed per 1,000 $ gross domestic product.

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

Correlations > Economy Statistics > GSP > Real GSP > Federal military (per $ GDP)

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

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