FACTOID # 2: The Carolinas are the textile mill centers of America, coming in first and second in total value of all shipments.
 
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Correlations > Industry Statistics > Primary metal manufacturing > Annual payroll

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Correlations between Industry > Primary metal manufacturing > Annual payroll ...

Variable Strength
...and  Industry > Primary metal manufacturing > Production workers wages 90% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 88% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 88% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) 86% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 85% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 85% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 85% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments 84% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 80% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing 60% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing 60% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 60% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing 59% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 57% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 56% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 55% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 53% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 53% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > NOx 52% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 52% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 52% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 51% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 51% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 51% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per $ GDP) 49% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 48% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 48% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 48% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 48% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 48% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 48% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees 48% [plot | correlate | graph]
...and  Energy > Conservation/Energy-Efficiency R & D Programs- Expenditures 47% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 47% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 47% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 47% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per capita) 46% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 46% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments 46% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 45% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 45% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 45% [plot | correlate | graph]
...and  Energy > Coal Consumption 45% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 44% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 43% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials 43% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 43% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers (average per year) 43% [plot | correlate | graph]
Average: 57%

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: 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.

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