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

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Correlations between Labor > Furniture & related product manufacturing > Number of employees ...

Variable Strength
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 95% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 94% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 94% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 93% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 91% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 90% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 87% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 86% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures 81% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll 79% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 79% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 71% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 71% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing 70% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 69% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 68% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 68% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 65% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 64% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 64% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 64% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 64% [plot | correlate | graph]
...and  Education > Public Libraries > Children's Program Attendance 60% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 59% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 59% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 58% [plot | correlate | graph]
...and  Health > Total SSDI Beneficiaries 58% [plot | correlate | graph]
...and  Health > Total Physician Assistants 58% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 58% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 57% [plot | correlate | graph]
...and  Health > Total Medicaid Spending, FY2004 57% [plot | correlate | graph]
...and  Health > Number of Infant Deaths 57% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 57% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 57% [plot | correlate | graph]
...and  Health > Number of Inpatient Beds 56% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 56% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 56% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 56% [plot | correlate | graph]
...and  Health > Total State Health Care Spending 56% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 56% [plot | correlate | graph]
...and  Health > Total Dual Eligible Medicaid Spending 56% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers hours 55% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 55% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 55% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 55% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 55% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 55% [plot | correlate | graph]
...and  Energy > Total Energy Consumption 55% [plot | correlate | graph]
...and  Energy > Total Electricity Consumption 55% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 54% [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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