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Correlations > Labor Statistics > Textile mills > Production workers hours

DEFINITION: This item covers all hours worked or paid for at the manufacturing plant, including actual overtime hours (not straight-time equivalent hours). It excludes hours paid for vacations, holidays, or sick leave when the employee is not at the establishment.
VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Textile mills > Production workers hours ...

Variable Strength
...and  Industry > Textile mills > Production workers wages 95% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 86% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 86% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 79% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 76% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 76% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 74% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 73% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 71% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 70% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 69% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 69% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 69% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 68% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 67% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 66% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 64% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 63% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 63% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 62% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 61% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 60% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 58% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 57% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 56% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 55% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 55% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours (per capita) 53% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) (per capita) 53% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures 50% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 50% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 49% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 48% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 48% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials (per $ GDP) 48% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 48% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 48% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 46% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per capita) 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per capita) 44% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments (per $ GDP) 44% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per $ GDP) 43% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll (per $ GDP) 42% [plot | correlate | graph]
Average: 58%

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

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