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Correlations > Economy Statistics > GSP > Compensation of Employees > Textile and textile product mills

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Showing latest available data.

Correlations between Economy > GSP > Compensation of Employees > Textile and textile product mills ...

Variable Strength
...and  Economy > GSP > Real GSP > Textile and textile product mills 99% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 99% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 91% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 89% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 88% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 88% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 86% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 83% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 82% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 81% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 68% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) 64% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 64% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per capita) 63% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 63% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per capita) 63% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 61% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills (per $ GDP) 61% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills (per $ GDP) 60% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per $ GDP) 57% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours 56% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 55% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials (per $ GDP) 55% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per capita) 54% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing 53% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 52% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 51% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) (per capita) 49% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 47% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 45% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 45% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 44% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 43% [plot | correlate | graph]
...and  Energy > Nuclear Energy R & D and Waste Management Programs- Expenditures 43% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 43% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 43% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 42% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 41% [plot | correlate | graph]
...and  Energy > Nuclear Energy 41% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 39% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 36% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Black 35% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Black, Non-Hispanic 35% [plot | correlate | graph]
...and  Energy > Nuclear Energy R & D and Waste Management Programs- Expenditures (per capita) 34% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent Black 33% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Ungraded Students 33% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll 33% [plot | correlate | graph]
...and  Energy > Renewable Energy R & D Programs- Expenditures 32% [plot | correlate | graph]
Average: 56%

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.

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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: Textile and textile product mills, Compensation of Employees (current dollars) Compensation of Employees is a statisical term which refers to the total gross (pre-tax) wages paid by employers to employeesfor work done in an accounting period, such as a quarter or a year. It represents roughly the total labor cost to an employer.

SOURCE: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003.

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