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Correlations > Labor Statistics > Apparel manufacturing > Number of employees (per capita)

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Apparel manufacturing > Number of employees (per capita) ...

Variable Strength
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 87% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 70% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 64% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 64% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 64% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) 59% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees 57% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours 56% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 56% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 55% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 55% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per $ GDP) 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per capita) 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per capita) 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per capita) 52% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per $ GDP) 51% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 51% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 50% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 50% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages 49% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 49% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 49% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours 49% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll 49% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added 48% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 48% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 47% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 47% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per $ GDP) 46% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per $ GDP) 46% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 44% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 44% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 44% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 43% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments (per $ GDP) 43% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing (per capita) 43% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll 42% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 42% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 41% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments 41% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 40% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 40% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 40% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials 40% [plot | correlate | graph]
Average: 50%

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 1,000 population.

SOURCE: Annual Survey of Manufactures, 2004

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