FACTOID # 2: Wisconsin has more metal fabricators per capita than any other state.
 
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Correlations > Labor Statistics > Machinery manufacturing > Number of employees

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Showing latest available data.

Correlations between Labor > Machinery manufacturing > Number of employees ...

Variable Strength
...and  Industry > Total Manufacturing > Production workers wages 74% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll 74% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 72% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 71% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 71% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 71% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 70% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 70% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 70% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 70% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 70% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 69% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 69% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 69% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 69% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 69% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 68% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 68% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures 68% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 66% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 66% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 66% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 65% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 65% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 65% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 65% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic 64% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 64% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 64% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 64% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 64% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 64% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Public Internet Terminals 63% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 63% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 63% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 63% [plot | correlate | graph]
...and  Education > Public Libraries > Public Service Hours 63% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 63% [plot | correlate | graph]
...and  Health > Number of HMOs 62% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 62% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 61% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 61% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 60% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 60% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees 60% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 60% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 60% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 59% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 59% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 58% [plot | correlate | graph]
Average: 66%

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 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.

SOURCE: Annual Survey of Manufactures, 2004

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