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Correlations > Industry Statistics > Textile product mills > Production workers wages

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

Correlations between Industry > Textile product mills > Production workers wages ...

Variable Strength
...and  Labor > Textile product mills > Number of employees 93% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 91% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 86% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 83% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 78% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 78% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours 76% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 73% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 72% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 69% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 68% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 68% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 67% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 66% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 57% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 56% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 56% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 55% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 54% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 54% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 53% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 53% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 52% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 52% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 52% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 52% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 52% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 51% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) 51% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages 50% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures 50% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 50% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments 49% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added 49% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 48% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours 47% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 47% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees 46% [plot | correlate | graph]
...and  Health > Total SSDI Beneficiaries 44% [plot | correlate | graph]
...and  Military > DOD Inactive Military Employees > Salaries & Wages 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 43% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials 43% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll 43% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours 43% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll 42% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments (per $ GDP) 42% [plot | correlate | graph]
...and  Energy > Total Electricity Consumption 42% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll 42% [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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