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Correlations > Industry Statistics > Transportation equipment manufacturing > Production workers wages

VIEW DATA:   Totals   Per $ GDP  
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Showing latest available data.

Correlations between Industry > Transportation equipment manufacturing > Production workers wages ...

Variable Strength
...and  Industry > Transportation equipment manufacturing > Total value of shipments 96% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 95% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials 93% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 92% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll 89% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing 88% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing 88% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Number of employees 88% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing 83% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures 83% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 75% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 75% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 72% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 66% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 66% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 65% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) 65% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 64% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments 63% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 63% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 61% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 61% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 61% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 61% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 60% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 60% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 60% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 59% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing 58% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 58% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 57% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 57% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 56% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages (per $ GDP) 56% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 55% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 53% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages 53% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 53% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 53% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 53% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 51% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 51% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours (per capita) 51% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added (per $ GDP) 51% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 51% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP) 51% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll (per $ GDP) 50% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 50% [plot | correlate | graph]
Average: 65%

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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