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Correlations > Economy Statistics > GSP > Gross Operating Surplus > Apparel manufacturing (per capita)

DEFINITION: Apparel manufacturing, Gross Operating Surplus (current dollars) Per capita figures expressed per 1 population.
VIEW DATA:   Totals   Per capita   Per $ GDP  
Definition     Source      Printable version   
    Bar Graph   Map   Correlations  

Showing latest available data.

Correlations between Economy > GSP > Gross Operating Surplus > Apparel manufacturing (per capita) ...

Variable Strength
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing (per $ GDP) 94% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per capita) 84% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per capita) 84% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per $ GDP) 74% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per $ GDP) 74% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours 63% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages 59% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 58% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 55% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing 53% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments (per $ GDP) 51% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added 51% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments 50% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments 50% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 49% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 48% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per $ GDP) 48% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 48% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials 47% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll 46% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees 46% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing 46% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) 45% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 44% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 43% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (per $ GDP) 42% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 40% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 37% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Apparel manufacturing 35% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Chemical manufacturing 31% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 30% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 29% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 29% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 29% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per capita) 26% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 26% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 25% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per $ GDP) 25% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 25% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Chemical manufacturing 24% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Chemical manufacturing 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Chemical manufacturing 24% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 24% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 23% [plot | correlate | graph]
Average: 44%

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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