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Correlations > Industry Statistics > Paper manufacturing > Production workers wages

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

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

Variable Strength
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 62% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 61% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 61% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 61% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers (average per year) 60% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 59% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Number of employees 57% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours 55% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 55% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing 53% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures 53% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments 51% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 50% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 49% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 47% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 47% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials 46% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll 46% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages (per $ GDP) 45% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 38% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total capital expenditures 36% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 35% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers hours 34% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per capita) 33% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per capita) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per $ GDP) 28% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per $ GDP) 28% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Number of employees (per capita) 26% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers (average per year) 26% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added (per $ GDP) 25% [plot | correlate | graph]
...and  Industry > Food manufacturing > Production workers wages 25% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 25% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 24% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Printing and related support activities 24% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials (per $ GDP) 24% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 23% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal civilian 23% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing 23% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers (average per year) 22% [plot | correlate | graph]
...and  Health > % Point Change in Medicaid (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Printing and related support activities 22% [plot | correlate | graph]
Average: 38%

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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