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Correlations > Labor Statistics > Beverage & tobacco product manufacturing > Production workers hours (per capita)

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. Per capita figures expressed per 10 population.
VIEW DATA:   Totals   Per capita  
Definition     Source      Printable version   
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Showing latest available data.

Correlations between Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) ...

Variable Strength
...and  Industry > Textile mills > Production workers wages 73% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 68% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 66% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 66% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 65% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 64% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 64% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 63% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 63% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 62% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 61% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 61% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 60% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 60% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 60% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 59% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 58% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 57% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 57% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 55% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 53% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 52% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 51% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees 51% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 48% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) (per capita) 47% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 46% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added 43% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 43% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours (per capita) 43% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 43% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 42% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP) 41% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 41% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 41% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per capita) 39% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 39% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 38% [plot | correlate | graph]
Average: 51%

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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