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

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

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

Variable Strength
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 73% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 72% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 71% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 67% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 64% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 61% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 61% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 60% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 58% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 58% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 57% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 55% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 53% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 53% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 52% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 50% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 50% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials (per $ GDP) 48% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 47% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 46% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 46% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing (per capita) 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 45% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 45% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments (per $ GDP) 45% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 45% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 45% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per $ GDP) 44% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 44% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 44% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 44% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 43% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 42% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 42% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 42% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per $ GDP) 42% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per $ GDP) 41% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per capita) 41% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 41% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 40% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 37% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 37% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (per $ GDP) 36% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 36% [plot | correlate | graph]
Average: 48%

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. Per capita figures expressed per 10,000 population.

SOURCE: Annual Survey of Manufactures, 2004

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