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

VIEW DATA:   Totals   Per capita   Per $ GDP  
Definition     Source      Printable version   
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Showing latest available data.

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

Variable Strength
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing (per capita) 94% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per $ GDP) 84% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per $ GDP) 84% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per capita) 83% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per capita) 83% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments (per $ GDP) 62% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials (per $ GDP) 62% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 62% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per $ GDP) 58% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 57% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (per $ GDP) 54% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments 52% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 49% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours 49% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 45% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 45% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 44% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 43% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages 42% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 41% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing 40% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added 38% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 37% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments 37% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll 34% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials 34% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing 34% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing 34% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) 33% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees 31% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 26% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Apparel manufacturing 25% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 25% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 24% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 24% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 24% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 24% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 24% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 23% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 23% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 23% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per capita) 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Chemical manufacturing 21% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal Reserve banks, credit intermediation and related services (per $ GDP) 21% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 21% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 20% [plot | correlate | graph]
Average: 41%

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: Apparel manufacturing, Gross Operating Surplus (current dollars) Per $ GDP figures expressed per 10,000 $ gross domestic product.

SOURCE: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003.

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