FACTOID # 1: Puerto Rico has roughly the same gross state product as Montana, Wyoming and North Dakota combined.
 
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Correlations > Economy Statistics > GSP > Nominal GSP > Apparel manufacturing (per $ GDP)

VIEW DATA:   Totals   Per capita   Per $ GDP  
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Showing latest available data.

Correlations between Economy > GSP > Nominal GSP > Apparel manufacturing (per $ GDP) ...

Variable Strength
...and  Economy > GSP > Real GSP > Apparel manufacturing (per $ GDP) 100% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing (per capita) 94% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing (per capita) 94% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing (per $ GDP) 85% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials (per $ GDP) 82% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) 79% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (per $ GDP) 78% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per $ GDP) 78% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing (per capita) 78% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments (per $ GDP) 77% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 74% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 70% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours 60% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages 54% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added 52% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments 51% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) 47% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 46% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll 46% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments 46% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials 44% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 42% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Apparel manufacturing 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Apparel manufacturing 41% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Apparel manufacturing 39% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) 39% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Apparel manufacturing 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 36% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees 36% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 36% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 32% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 32% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 31% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 31% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 31% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 30% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 29% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 29% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 29% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 28% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total capital expenditures (per $ GDP) 28% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 28% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 28% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 27% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP) 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 27% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 27% [plot | correlate | graph]
Average: 48%

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, Nominal GSP (current dollars) GSP, or Gross State Product is the value of all the goods and services produced in a state. Specific industries measured will give the value of all goods and services in that industry. The Nominal Gross State Product measures the value of all the goods and services produced expressed in current prices. On the other hand, Real Gross State Product measures the value of all the goods and services produced expressed in the prices of some base year. 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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