FACTOID # 2: Wisconsin has more metal fabricators per capita than any other state.
 
 Home   Statistics   States A-Z   Flags   Maps   FAQ   About 
 
 
 
WHAT'S NEW
TOP STATS
More Top Stats »
 

SEARCH ALL

FACTS & STATISTICS   

Search encyclopedia, statistics and forums:

 

 

(* = Graphable)

 

 


Correlations > Labor Statistics > Primary metal manufacturing > Production workers (average per year)

VIEW DATA:   Totals   Per capita  
Definition     Source      Printable version   
    Bar Graph   Pie Chart   Map   Correlations  

Showing latest available data.

Correlations between Labor > Primary metal manufacturing > Production workers (average per year) ...

Variable Strength
...and  Labor > Primary metal manufacturing > Production workers hours 98% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 95% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 94% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 93% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 92% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 92% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments 92% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 90% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 87% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 86% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 72% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 71% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 68% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing 67% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing 67% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 66% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 66% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 65% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing 65% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 65% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 65% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 63% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 63% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 63% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 62% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 62% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees 62% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 62% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 60% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 60% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 60% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 60% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 60% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 60% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 60% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 60% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 60% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 59% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 59% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 59% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 58% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments 58% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 58% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 57% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 57% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 56% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 56% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 56% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 56% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 55% [plot | correlate | graph]
Average: 68%

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

Related links:
 

COMMENTARY     


Share your thoughts, questions and commentary here
Your name
Your location
Your comments
Please enter the 5-letter protection code


Press Releases |  Feeds | Contact
© Copyright StateMaster.com 2003-2008. All Rights Reserved. Usage implies agreement with terms.