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Correlations > Industry Statistics > Wood product manufacturing > Annual payroll

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

Correlations between Industry > Wood product manufacturing > Annual payroll ...

Variable Strength
...and  Labor > Wood product manufacturing > Production workers (average per year) 96% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 96% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added 95% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 95% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing 95% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 95% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments 93% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours 90% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials 87% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 86% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing 77% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 54% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities 54% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 51% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 51% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures 50% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures 50% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 49% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 49% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 48% [plot | correlate | graph]
...and  Military > DOD Inactive Military Employees > Salaries & Wages 48% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 48% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 47% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 47% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 47% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 46% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 46% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 45% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 44% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 44% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 44% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 43% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 42% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 42% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 42% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 42% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers hours 42% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 42% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities 41% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Number of employees 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 41% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 40% [plot | correlate | graph]
Average: 56%

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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