StateMaster - Correlations > Industry > Primary metal manufacturing

	Variable	Strength
...and	Industry > Primary metal manufacturing > Annual payroll (per $ GDP)	96%	[plot \| correlate \| graph]
...and	Labor > Primary metal manufacturing > Production workers hours (per capita)	61%	[plot \| correlate \| graph]
...and	Labor > Primary metal manufacturing > Number of employees (per capita)	61%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Production workers wages (per $ GDP)	60%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Total cost of materials (per $ GDP)	59%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Primary metal manufacturing (per capita)	53%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Primary metal manufacturing (per capita)	53%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Primary metal manufacturing (per $ GDP)	51%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Primary metal manufacturing (per $ GDP)	51%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Total value of shipments (per $ GDP)	48%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP)	47%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Annual payroll	46%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Value added (per $ GDP)	43%	[plot \| correlate \| graph]
...and	Energy > Conservation/Energy-Efficiency R & D Programs- Expenditures (per $ GDP)	41%	[plot \| correlate \| graph]
...and	Military > Navy Recruits: Percent White	40%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Total value of shipments (per $ GDP)	36%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary Finance > Total Expenditures for Education (per $ GDP)	35%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per $ GDP)	35%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Fabricated metal product manufacturing (per $ GDP)	35%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Value added (per $ GDP)	34%	[plot \| correlate \| graph]
...and	Health > Outpatient Visits	34%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Production workers wages	33%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Annual payroll (per $ GDP)	32%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Total capital expenditures	32%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Total cost of materials (per $ GDP)	31%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary Finance > Current Expenditures (per $ GDP)	31%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary Finance > Total Revenue from All Sources (per $ GDP)	31%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing (per $ GDP)	31%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Federal military (inverse)	31%	[plot \| correlate \| graph]
...and	Labor > Primary metal manufacturing > Production workers hours	30%	[plot \| correlate \| graph]
...and	Labor > Primary metal manufacturing > Number of employees	29%	[plot \| correlate \| graph]
...and	Energy > Conservation/Energy-Efficiency R & D Programs- Expenditures (per capita)	29%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Hospitals and nursing and residential care facilities (per $ GDP)	29%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Hospitals and nursing and residential care facilities (per $ GDP)	29%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary Finance > Support Services Expenditure- Subtotal (per $ GDP)	29%	[plot \| correlate \| graph]
...and	People > Percent of Foreign Population Born in Europe	28%	[plot \| correlate \| graph]
...and	Economy > GSP > Compensation of Employees > Primary metal manufacturing	28%	[plot \| correlate \| graph]
...and	Energy > Electric Power Industry Emissions > CO2 (per $ GDP)	28%	[plot \| correlate \| graph]
...and	Industry > Total Manufacturing > Production workers wages (per $ GDP)	27%	[plot \| correlate \| graph]
...and	Labor > Primary metal manufacturing > Production workers (average per year) (per capita)	27%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Value added	27%	[plot \| correlate \| graph]
...and	People > Percent of People Who are White Alone, Not Hispanic or Latino	27%	[plot \| correlate \| graph]
...and	Energy > Electric Power Industry Emissions > CO2 (per capita)	27%	[plot \| correlate \| graph]
...and	Economy > Percent of Households With Retirement Income	26%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Total value of shipments	26%	[plot \| correlate \| graph]
...and	Labor > Fabricated metal product manufacturing > Production workers (average per year) (per capita)	26%	[plot \| correlate \| graph]
...and	Industry > Total Manufacturing > Annual payroll (per $ GDP)	26%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing (per capita)	25%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary Finance > Instruct. Expend.- Subtotal (per $ GDP)	25%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Utilities (per $ GDP)	25%	[plot \| correlate \| graph]
	Average:	37%

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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Detailed correlation information
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: This item includes the gross earnings of all employees on the payrolls of operating manufacturing establishments paid in the calendar year. Respondents are told they could follow the definition of payrolls used for calculating the federal withholding tax. It includes all forms of compensation, such as salaries, wages, commissions, dismissal pay, bonuses, vacation and sick leave pay, and compensation in kind, prior to such deductions as employees' social security contributions, withholding taxes, group insurance, union dues, and savings bonds. The total includes salaries of officers of corporations; it excludes payments to proprietors or partners of unincorporated concerns. Also excluded are payments to members of Armed Forces and pensioners carried on the active payrolls of manufacturing establishments. Per capita figures expressed per 1 population.

SOURCE: Annual Survey of Manufactures, 2004

Correlations > Industry Statistics > Primary metal manufacturing > Annual payroll (per capita)

Correlations between Industry > Primary metal manufacturing > Annual payroll (per capita) ...

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