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Correlations > Industry Statistics > Plastics & rubber products manufacturing > Total capital expenditures (per $ GDP)

VIEW DATA:   Totals   Per $ GDP  
Definition     Source      Printable version   
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Showing latest available data.

Correlations between Industry > Plastics & rubber products manufacturing > Total capital expenditures (per $ GDP) ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per capita) 56% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per capita) 56% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 52% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 52% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per capita) 52% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 47% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per $ GDP) 47% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP) 46% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) (per capita) 46% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments (per $ GDP) 45% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials (per $ GDP) 45% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 45% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 41% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 41% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 41% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 41% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll (per $ GDP) 39% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total capital expenditures (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Miscellaneous manufacturing 38% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments (per $ GDP) 37% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added (per $ GDP) 37% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per capita) 37% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per capita) 37% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll (per capita) 37% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added (per $ GDP) 36% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 35% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees (per capita) 35% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per $ GDP) 34% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing (per capita) 34% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing (per capita) 34% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers (average per year) (per capita) 32% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 32% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 31% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 31% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per $ GDP) 31% [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



DEFINITION: Represents the total new and used capital expenditures reported by establishments in operation and any known plants under construction. Per $ GDP figures expressed per 1,000 $ gross domestic product.

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