FACTOID # 1: South Dakota has the highest employment ratio in America, but the lowest median earnings of full-time male employees.
 
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Correlations > Labor Statistics > Textile mills > Number of employees

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Textile mills > Number of employees ...

Variable Strength
...and  Industry > Textile mills > Total value of shipments 99% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 99% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 98% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 98% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 95% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 95% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 91% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 77% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 76% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 74% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 74% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 73% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 73% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 72% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 72% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 71% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 71% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 68% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 68% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 67% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 66% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 65% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 64% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 64% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 64% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 64% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 62% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 61% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 59% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 59% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 56% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 56% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 56% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 55% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours 55% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 54% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 54% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 54% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 53% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 53% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 52% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 52% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 51% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 51% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 50% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 49% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 47% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per capita) 47% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 45% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 44% [plot | correlate | graph]
Average: 65%

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 all full-time and part-time employees on the payrolls of operating manufacturing establishments during any part of the pay period that included the 12th of the months specified on the report form. Included are employees on paid sick leave, paid holidays, and paid vacations; not included are proprietors and partners of unincorporated businesses.

SOURCE: Annual Survey of Manufactures, 2004

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