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 > Machinery manufacturing > Production workers wages

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Correlations between Industry > Machinery manufacturing > Production workers wages ...

Variable Strength
...and  Labor > Machinery manufacturing > Production workers hours 98% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll 96% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 92% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 92% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 92% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 91% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials 89% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 88% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 88% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 85% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 85% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 85% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 85% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 84% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 83% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures 82% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 82% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 82% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 82% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 82% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 81% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 80% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 80% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 80% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 80% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 80% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 79% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 78% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 78% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 77% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 77% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 76% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 75% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 74% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 74% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 74% [plot | correlate | graph]
...and  Education > Public Libraries > Public Service Hours 72% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 72% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 71% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 70% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees 70% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 70% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 70% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 68% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 65% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Printing and related support activities 65% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Printing and related support activities 65% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Printing and related support activities 64% [plot | correlate | graph]
Average: 79%

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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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.

SOURCE: Annual Survey of Manufactures, 2004

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