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Correlations > Industry Statistics > Electrical equipment, appliance, & component manufacturing > Production workers wages

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Showing latest available data.

Correlations between Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 80% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 80% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments 78% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials 75% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 74% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing 74% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 71% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 69% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll 68% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 63% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 61% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 61% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 59% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 59% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours 59% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 59% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 59% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 58% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees 58% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees 58% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 57% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 57% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 56% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 56% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 54% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 54% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 54% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 54% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 54% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 54% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees 53% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 53% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 53% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments 53% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 53% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 52% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 52% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 52% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 51% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 51% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 50% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Primary metal manufacturing 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 50% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 50% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 50% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 50% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll 50% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 49% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total capital expenditures 49% [plot | correlate | graph]
Average: 58%

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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