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 > Primary metal manufacturing

DEFINITION: Primary metal manufacturing, Gross Operating Surplus (current dollars)
VIEW DATA:   Totals   Per capita   Per $ GDP  
Definition     Source      Printable version   
    Bar Graph   Pie Chart   Map   Correlations  

Showing latest available data.

Correlations between Economy > GSP > Gross Operating Surplus > Primary metal manufacturing ...

Variable Strength
...and  Economy > GSP > Compensation of Employees > Truck transportation 61% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 60% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 60% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 58% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 58% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 58% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers hours 58% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Hospitals and nursing and residential care facilities 57% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 57% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 56% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 56% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 56% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 56% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Staff 54% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 54% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total capital expenditures 53% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 52% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 52% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 52% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 52% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 51% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 51% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Teachers 50% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 49% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 49% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers (average per year) 49% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 49% [plot | correlate | graph]
...and  Military > DOD Inactive Military Employees > Salaries & Wages 49% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 49% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 48% [plot | correlate | graph]
...and  Military > Total Army Recruits 48% [plot | correlate | graph]
...and  Health > Total Hospitals 48% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 47% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 47% [plot | correlate | graph]
...and  Health > Number of Infant Deaths 47% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments 47% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic 47% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages 47% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll 47% [plot | correlate | graph]
...and  Health > Total State Health Care Spending 46% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Public Internet Terminals 46% [plot | correlate | graph]
...and  Health > Total SSDI Beneficiaries 46% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 46% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 46% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 46% [plot | correlate | graph]
...and  Health > Total Health Care Employment 46% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 46% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Utilities 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Utilities 46% [plot | correlate | graph]
Average: 51%

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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