FACTOID # 2: The Carolinas are the textile mill centers of America, coming in first and second in total value of all shipments.
 
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Correlations > Industry Statistics > Apparel manufacturing > Annual payroll (per $ GDP)

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Showing latest available data.

Correlations between Industry > Apparel manufacturing > Annual payroll (per $ GDP) ...

Variable Strength
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 95% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (per $ GDP) 90% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials (per $ GDP) 89% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 87% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments (per $ GDP) 82% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per $ GDP) 79% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per $ GDP) 78% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 77% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per capita) 68% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per capita) 67% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing (per $ GDP) 56% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 55% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 54% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 54% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 50% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing (per capita) 47% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 47% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours 46% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 44% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 44% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 44% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added 43% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 43% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll 42% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 42% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages 41% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll 39% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) (per capita) 39% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 39% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 39% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 39% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 38% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 38% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 37% [plot | correlate | graph]
...and  Health > Medicare Beneficiaries Below 150% FPL 37% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 37% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total capital expenditures (per $ GDP) 36% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments 36% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 35% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 34% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 34% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll (per capita) 33% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 33% [plot | correlate | graph]
...and  Health > SSI Beneficiaries as % of Population 33% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials 33% [plot | correlate | graph]
Average: 49%

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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