FACTOID # 3: Looking for table makers? Head to Mississippi, with an overwhlemingly large number of employees in furniture manufacturing.
 
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Correlations > Labor Statistics > Textile product mills > Number of employees

DEFINITION: This item includes all full-time and part-time employees on the payrolls of operating manufacturing establishments during any part of the pay period that included the 12th of the months specified on the report form. Included are employees on paid sick leave, paid holidays, and paid vacations; not included are proprietors and partners of unincorporated businesses.
VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Textile product mills > Number of employees ...

Variable Strength
...and  Industry > Textile product mills > Production workers wages 93% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 91% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 83% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours 81% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 79% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 78% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 77% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) 73% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 73% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Textile and textile product mills 69% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Textile and textile product mills 69% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 66% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 66% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 64% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 61% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 60% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) 60% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Annual payroll 57% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages 56% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added 56% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 55% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 55% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 54% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours 54% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 53% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total value of shipments 53% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 52% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 51% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures 51% [plot | correlate | graph]
...and  Military > DOD Inactive Military Employees > Salaries & Wages 51% [plot | correlate | graph]
...and  Health > Total SSDI Beneficiaries 51% [plot | correlate | graph]
...and  Energy > Nuclear Energy 51% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 51% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials 50% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Black, Non-Hispanic 49% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll 49% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 49% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees 49% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 48% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials 48% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers hours 48% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 48% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 47% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 47% [plot | correlate | graph]
...and  Health > Number of Infant Deaths 47% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 47% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 46% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers hours 46% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 46% [plot | correlate | graph]
Average: 58%

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
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