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StateMaster - Correlations > Labor > Textile product mills > Production workers hours
 

Correlations > Labor Statistics > Textile product mills > Production workers hours


Showing latest available data.

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

Variable Strength
...and  Labor > Textile product mills > Number of employees 81% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 80% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 77% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 76% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 76% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 74% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 73% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 72% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 68% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 68% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 67% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 67% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees 66% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 58% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 57% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 56% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 55% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 55% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures 54% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll 54% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 53% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 52% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 52% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 51% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 51% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 50% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 49% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 48% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 48% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 48% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 46% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 45% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials 44% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added 43% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 43% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 42% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 42% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 42% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 41% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees 41% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Bookmobiles 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per capita) 40% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > State and local 39% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages 38% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) 38% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 38% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per $ GDP) 38% [plot | correlate | graph]
Average: 54%

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 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.

SOURCE: Annual Survey of Manufactures, 2004 via StateMaster

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