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Correlations > Industry Statistics > Paper manufacturing > Annual payroll (per capita)

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

Correlations between Industry > Paper manufacturing > Annual payroll (per capita) ...

Variable Strength
...and  Industry > Paper manufacturing > Annual payroll (per $ GDP) 93% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages (per $ GDP) 51% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 46% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 46% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 41% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Amusements, gambling, and recreation (per capita) (inverse) 33% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 32% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 31% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 31% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials (per $ GDP) 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per $ GDP) 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per $ GDP) 30% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (per $ GDP) 30% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 30% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per capita) 29% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 28% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per capita) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per capita) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing (per $ GDP) 28% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 28% [plot | correlate | graph]
...and  Health > Medicaid Managed Care Capitation Rates 27% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 26% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing (per $ GDP) 26% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 26% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) (per capita) 25% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added (per $ GDP) 25% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 25% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments (per $ GDP) 25% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers hours (per capita) 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per $ GDP) 25% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Rental and leasing services and lessors of intangible assets (per capita) (inverse) 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Rental and leasing services and lessors of intangible assets (per capita) (inverse) 25% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per $ GDP) 25% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per $ GDP) 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per $ GDP) 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 24% [plot | correlate | graph]
...and  Health > SSDI Beneficiaries as % of Population 24% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 24% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours (per capita) 24% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per capita) 24% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP) 24% [plot | correlate | graph]
Average: 31%

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 capita figures expressed per 1 population.

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