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Correlations > Industry Statistics > Furniture & related product manufacturing > Annual payroll (per capita)

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

Correlations between Industry > Furniture & related product manufacturing > Annual payroll (per capita) ...

Variable Strength
...and  Industry > Furniture & related product manufacturing > Annual payroll (per $ GDP) 97% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added (per $ GDP) 51% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees (per capita) 47% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) (per capita) 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per capita) 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per capita) 43% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 43% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per $ GDP) 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 38% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours (per capita) 38% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll 37% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 34% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 34% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 33% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 32% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 30% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 29% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 28% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 26% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (per $ GDP) 25% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees (per capita) 25% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 25% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (inverse) 24% [plot | correlate | graph]
...and  Military > Total Navy Recruits (per capita) (inverse) 23% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 23% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing (per capita) 23% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing (per $ GDP) 23% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures (per $ GDP) 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing (per capita) 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing (per $ GDP) 23% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 22% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials (per $ GDP) 21% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Number of employees (per capita) 21% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 21% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 21% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 21% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 20% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Number of employees (per capita) (inverse) 20% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 20% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 20% [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
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