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 > Furniture & related product manufacturing > Production workers (average per year)

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Correlations between Labor > Furniture & related product manufacturing > Production workers (average per year) ...

Variable Strength
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 94% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 93% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 92% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 91% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 91% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 91% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 88% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 86% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 83% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll 78% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures 76% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 73% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 73% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total value of shipments 71% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours 71% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 70% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 66% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing 65% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages 65% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 64% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 64% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 63% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 61% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 60% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures 59% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 59% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 58% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 58% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 58% [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  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 57% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages 57% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 57% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 56% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 56% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 56% [plot | correlate | graph]
...and  Health > Number of Infant Deaths 56% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 56% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 56% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Number of employees (per capita) 55% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours 55% [plot | correlate | graph]
...and  Education > Public Libraries > Children's Program Attendance 55% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) 55% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 55% [plot | correlate | graph]
...and  Health > Total Medicaid Spending, FY2004 55% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 54% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 54% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 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.

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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: 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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