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Correlations > Industry Statistics > Textile mills > Total cost of materials (per $ GDP)

VIEW DATA:   Totals   Per $ GDP  
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Showing latest available data.

Correlations between Industry > Textile mills > Total cost of materials (per $ GDP) ...

Variable Strength
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 100% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 98% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 95% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 95% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 92% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 91% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 91% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 90% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 89% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 89% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 89% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials (per $ GDP) 87% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 86% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 84% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 84% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 80% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 80% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 77% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 76% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 70% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 70% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 69% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 65% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 64% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 64% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 64% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 63% [plot | correlate | graph]
...and  Health > Fire death rate 62% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 61% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (per capita) 61% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) (per capita) 60% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown (per capita) 60% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown 60% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 59% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per capita) 58% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per $ GDP) 58% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers hours (per capita) 55% [plot | correlate | graph]
...and  Housing > Percent of Housing Units That are Mobile Homes 55% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP) 55% [plot | correlate | graph]
...and  Energy > Nuclear Energy (per capita) 53% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) 51% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Bookmobiles (per capita) 51% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (per $ GDP) 51% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) 51% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers hours (per capita) 49% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 48% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita) 48% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per capita) 48% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 48% [plot | correlate | graph]
Average: 69%

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: This term refers to direct charges actually paid or payable for items consumed or put into production during the year, including freight charges and other direct charges incurred by the establishment in acquiring these materials. It includes the cost of materials or fuel consumed, whether purchased by the individual establishment from other companies, transferred to it from other establishments of the same company, or withdrawn from inventory during the year. Per $ GDP figures expressed per 1,000 $ gross domestic product.

SOURCE: Annual Survey of Manufactures, 2004

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