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Correlations > Industry Statistics > Transportation equipment manufacturing > Annual payroll

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

Correlations between Industry > Transportation equipment manufacturing > Annual payroll ...

Variable Strength
...and  Labor > Transportation equipment manufacturing > Number of employees 96% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 95% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 89% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 89% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments 88% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials 79% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures 73% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 70% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing 70% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing 70% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 69% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 67% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 65% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 65% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 65% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 65% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 65% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 64% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing 64% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 64% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 63% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 63% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 62% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 62% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 61% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 61% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 61% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 60% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 59% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 59% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 59% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 58% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 58% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 57% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 57% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 57% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 57% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 57% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees 56% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 56% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 55% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 55% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 55% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 54% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Bookmobiles 54% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 54% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 53% [plot | correlate | graph]
Average: 64%

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.

SOURCE: Annual Survey of Manufactures, 2004

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