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 > Fabricated metal product manufacturing > 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.
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Showing latest available data.

Correlations between Labor > Fabricated metal product manufacturing > Number of employees ...

Variable Strength
...and  Industry > Fabricated metal product manufacturing > Annual payroll 97% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 97% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 96% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 96% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 96% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 96% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 95% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 94% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 94% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 94% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 93% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 93% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 92% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 91% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 90% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 89% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 89% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 88% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 88% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 88% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 87% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 87% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 87% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll 87% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 87% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 86% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 86% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 86% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 86% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 85% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 85% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 85% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 85% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 85% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 85% [plot | correlate | graph]
...and  Education > Public Libraries > Public Service Hours 84% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 84% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 84% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 83% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 83% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic 83% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 83% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 82% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Public Internet Terminals 82% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 82% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 82% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 82% [plot | correlate | graph]
Average: 88%

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

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