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Correlations > Industry Statistics > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP)

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

Correlations between Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) ...

Variable Strength
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 73% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 71% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 68% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 68% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 65% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 63% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures 63% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 58% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 58% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 55% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (per $ GDP) 55% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 54% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 53% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 52% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 52% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 51% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 51% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 50% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per capita) 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per capita) 49% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per capita) 47% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP) 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per $ GDP) 45% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per $ GDP) 45% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per capita) 45% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 45% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per $ GDP) 45% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 45% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 43% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 42% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 40% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 40% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per $ GDP) 39% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 39% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials 37% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 36% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 35% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 35% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 35% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 35% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 34% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 33% [plot | correlate | graph]
Average: 48%

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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