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Correlations > Economy Statistics > GSP > Gross Operating Surplus > Paper manufacturing

DEFINITION: Paper 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 > Paper manufacturing ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Paper manufacturing 75% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 75% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 71% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 64% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures 60% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 55% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 54% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 43% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per $ GDP) 42% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) (per capita) 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per $ GDP) 39% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per capita) 39% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) 36% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 35% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per capita) 35% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours 34% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Public 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 32% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures 32% [plot | correlate | graph]
...and  Military > DOD Inactive Military Employees > Salaries & Wages 31% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Two Year 31% [plot | correlate | graph]
...and  Labor > Food manufacturing > Number of employees 31% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Black, Non-Hispanic (per capita) 31% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Black 30% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing 30% [plot | correlate | graph]
...and  Energy > Fossil Fuel R & D Programs- Expenditures 30% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total capital expenditures 29% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 29% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials 28% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Black, non-Hispanic 27% [plot | correlate | graph]
...and  Energy > Nuclear Energy 27% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Black, Non-Hispanic 27% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Other transportation equipment manufacturing 27% [plot | correlate | graph]
...and  Energy > Coal Consumption 26% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 26% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers (average per year) 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per capita) 26% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per capita) 26% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 26% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent Black 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 25% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per $ GDP) 25% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 25% [plot | correlate | graph]
...and  Health > Gonorrhea Rate 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Primary metal manufacturing 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per $ GDP) 25% [plot | correlate | graph]
...and  People > Total Black Population 25% [plot | correlate | graph]
Average: 35%

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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