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Correlations > Industry Statistics > Paper manufacturing > Production workers wages (per $ GDP)

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

Correlations between Industry > Paper manufacturing > Production workers wages (per $ GDP) ...

Variable Strength
...and  Industry > Paper manufacturing > Total value of shipments (per $ GDP) 85% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials (per $ GDP) 84% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added (per $ GDP) 83% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per $ GDP) 81% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per $ GDP) 81% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per $ GDP) 74% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures (per $ GDP) 73% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per capita) 72% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per capita) 71% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours (per capita) 70% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per $ GDP) 70% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Number of employees (per capita) 62% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per capita) 61% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per capita) 51% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages 45% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials (per $ GDP) 41% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees (per capita) 40% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing (per $ GDP) 37% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (per $ GDP) 37% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing (per $ GDP) 37% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers hours (per capita) 36% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing (per $ GDP) 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per capita) 33% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) (per capita) 32% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) 30% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers (average per year) (per capita) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per capita) 29% [plot | correlate | graph]
...and  Health > SSDI Beneficiaries as % of Population 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per capita) 29% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added (per $ GDP) 29% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees (per capita) 29% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per capita) 28% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per capita) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 28% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per $ GDP) 28% [plot | correlate | graph]
...and  Health > Stroke Death Rate per 100,000 28% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Administrative and support services (per capita) (inverse) 27% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Administrative and support services (per capita) (inverse) 27% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 27% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments (per $ GDP) 27% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages (per $ GDP) 27% [plot | correlate | graph]
Average: 44%

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. Per $ GDP figures expressed per 10,000 $ gross domestic product.

SOURCE: Annual Survey of Manufactures, 2004

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