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

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

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

Variable Strength
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 94% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 93% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 90% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 88% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 87% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 87% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 85% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 81% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) (per capita) 78% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 78% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 76% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 75% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 75% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 74% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 74% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 74% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 72% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 68% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per $ GDP) 62% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 62% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 62% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 61% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 59% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 59% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) 58% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 58% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per capita) 58% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per capita) 56% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 54% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 53% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added (per $ GDP) 53% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 49% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 47% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 47% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 47% [plot | correlate | graph]
...and  Energy > Nuclear Energy (per capita) 46% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 46% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 42% [plot | correlate | graph]
...and  Housing > Percent of Housing Units That are Mobile Homes 41% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 41% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP) 41% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 40% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 39% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Black 37% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Black 35% [plot | correlate | graph]
...and  Energy > Nuclear Energy R & D and Waste Management Programs- Expenditures (per capita) 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 35% [plot | correlate | graph]
Average: 60%

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 10,000 $ gross domestic product.

SOURCE: Annual Survey of Manufactures, 2004

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