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Correlations > Labor Statistics > Beverage & tobacco product manufacturing > Number of employees (per capita)

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. Per capita figures expressed per 10,000 population.
VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) ...

Variable Strength
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 60% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 60% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees 60% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 59% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 58% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 55% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 53% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 52% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 51% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 51% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 51% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 50% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 47% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 45% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 44% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 44% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 43% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments (per $ GDP) 43% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 42% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 42% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 42% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 41% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per capita) 41% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per capita) 40% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per $ GDP) 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per $ GDP) 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 39% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 38% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per capita) 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per capita) 38% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 38% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per capita) 38% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (per $ GDP) 37% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 37% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 36% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per $ GDP) 36% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Value added 35% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per capita) 35% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 34% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 34% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 33% [plot | correlate | graph]
Average: 43%

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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