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 > Gross Operating Surplus > Textile and textile product mills (per capita)

DEFINITION: Textile and textile product mills, Gross Operating Surplus (current dollars) Per capita figures expressed per 1 population.
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 > Textile and textile product mills (per capita) ...

Variable Strength
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per $ GDP) 94% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 84% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 81% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 80% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 80% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 78% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 78% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 74% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 73% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 71% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 69% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 67% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 66% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials (per $ GDP) 65% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 62% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 58% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 58% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 55% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 55% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 54% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 52% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 52% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 51% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 51% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 51% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 49% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 46% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 45% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 44% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) (per capita) 44% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 41% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Black, Non-Hispanic (per capita) 32% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent Black 31% [plot | correlate | graph]
...and  Education > Public Libraries > Total Collection Expenditures (per $ GDP) (inverse) 31% [plot | correlate | graph]
...and  Education > Public Libraries > Electronic Materials Expenditures (per $ GDP) (inverse) 30% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing 28% [plot | correlate | graph]
...and  Education > Public Libraries > Electronic Materials Expenditures (per capita) (inverse) 28% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Black 28% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per capita) 27% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 27% [plot | correlate | graph]
...and  Education > Public Libraries > Local Revenue (per $ GDP) (inverse) 27% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 26% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Black 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 25% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) 24% [plot | correlate | graph]
...and  Housing > Percent of Housing Units That are Mobile Homes 24% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Educational services 23% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent White (inverse) 23% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 23% [plot | correlate | graph]
Average: 49%

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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