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Correlations > Labor Statistics > Apparel manufacturing > Production workers hours (per capita)

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Apparel manufacturing > Production workers hours (per capita) ...

Variable Strength
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 88% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (per $ GDP) 88% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 88% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per $ GDP) 87% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials (per $ GDP) 82% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per $ GDP) 79% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per $ GDP) 79% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments (per $ GDP) 77% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per capita) 76% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per capita) 75% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 70% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 68% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 58% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours 58% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing (per $ GDP) 57% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 57% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 55% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing (per capita) 54% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 53% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages 53% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 52% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 48% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 46% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 44% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 44% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 42% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 42% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 42% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 42% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) (per capita) 40% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) 39% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll 39% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments 39% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 39% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 39% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 38% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll 38% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per capita) 38% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per $ GDP) 36% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 36% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 35% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials 35% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 35% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 34% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 34% [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.

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 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 1 population.

SOURCE: Annual Survey of Manufactures, 2004

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