FACTOID # 1: South Dakota has the highest employment ratio in America, but the lowest median earnings of full-time male employees.
 
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Correlations > Labor Statistics > Apparel manufacturing > Production workers (average per year)

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Showing latest available data.

Correlations between Labor > Apparel manufacturing > Production workers (average per year) ...

Variable Strength
...and  Labor > Apparel manufacturing > Number of employees 89% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll 85% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours 83% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added 80% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages 80% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments 75% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials 74% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Apparel manufacturing 73% [plot | correlate | graph]
...and  Health > ADAP Insurance Purchasing/Maintenance Funds 69% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing 65% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 63% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 59% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per capita) 55% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per capita) 54% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 52% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll 51% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees 51% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 50% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 50% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing 49% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 49% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal Reserve banks, credit intermediation and related services 48% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal Reserve banks, credit intermediation and related services 48% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 47% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing (per capita) 47% [plot | correlate | graph]
...and  Health > Baseline Dual Eligible Enrollment 46% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 45% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 45% [plot | correlate | graph]
...and  Health > Baseline FFS Drug Payments for Duals 44% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 43% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 42% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Performing arts, museums, and related activities 39% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 39% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 39% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Performing arts, museums, and related activities 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per $ GDP) 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per $ GDP) 38% [plot | correlate | graph]
...and  Health > Physician Assistants per 10,000 Population 38% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motion picture and sound recording industries 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Performing arts, museums, and related activities 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Performing arts, museums, and related activities 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motion picture and sound recording industries 37% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motion picture and sound recording industries 37% [plot | correlate | graph]
...and  Energy > Renewable Hydroelectric Production 37% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 37% [plot | correlate | graph]
Average: 52%

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.

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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.

SOURCE: Annual Survey of Manufactures, 2004

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