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Correlations > Industry Statistics > Paper manufacturing > Total capital expenditures

DEFINITION: Represents the total new and used capital expenditures reported by establishments in operation and any known plants under construction.
VIEW DATA:   Totals   Per $ GDP  
Definition     Source      Printable version   
    Bar Graph   Pie Chart   Map   Correlations  

Showing latest available data.

Correlations between Industry > Paper manufacturing > Total capital expenditures ...

Variable Strength
...and  Industry > Paper manufacturing > Value added 81% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 80% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 79% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 79% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 76% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 67% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing 61% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours 56% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures (per $ GDP) 53% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages 51% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 51% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing 47% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials 43% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per capita) 43% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments 42% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per capita) 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per capita) 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 37% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 37% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 37% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Number of employees 36% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added (per $ GDP) 34% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages 34% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per $ GDP) 34% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per $ GDP) 34% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 33% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 32% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers (average per year) 32% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 32% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours (per capita) 31% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments (per $ GDP) 31% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees 31% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added 30% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll 29% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 29% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 29% [plot | correlate | graph]
...and  Industry > Milk production 29% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours 29% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll 28% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures 28% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments 28% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers (average per year) 27% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages (per $ GDP) 26% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing 26% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal civilian 26% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials 25% [plot | correlate | graph]
Average: 40%

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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