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

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 $ GDP) ...

Variable Strength
...and  Industry > Furniture & related product manufacturing > Annual payroll (per capita) 97% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added (per $ GDP) 55% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) (per capita) 47% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments (per $ GDP) 47% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees (per capita) 46% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per capita) 42% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per $ GDP) 42% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per $ GDP) 41% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours (per capita) 39% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 39% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials (per $ GDP) 37% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 37% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 34% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 33% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll 31% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 31% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (per $ GDP) 31% [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  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 29% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 28% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (inverse) 27% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 26% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees (per capita) 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing (per $ GDP) 26% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 26% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing (per $ GDP) 25% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials (per $ GDP) 25% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 23% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments (per $ GDP) 23% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Number of employees (per capita) 22% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials (per $ GDP) 22% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Manufacturing Industry 22% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing (per capita) 22% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 22% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing (per capita) 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing (per $ GDP) 22% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (per $ GDP) 21% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 21% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 21% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees (per capita) 21% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 21% [plot | correlate | graph]
Average: 32%

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 1,000 $ gross domestic product.

SOURCE: Annual Survey of Manufactures, 2004

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