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    Advanced view

Search encyclopedia, statistics and forums:

 

 

(* = Graphable)

 

 


Correlations > Labor Statistics > Chemical manufacturing > Number of employees (per capita)

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

Showing latest available data.

Correlations between Labor > Chemical manufacturing > Number of employees (per capita) ...

Variable Strength
...and  Industry > Chemical manufacturing > Annual payroll (per $ GDP) 65% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages (per $ GDP) 59% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll (per capita) 54% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total capital expenditures (per $ GDP) 52% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers hours (per capita) 36% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Number of employees 31% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) (inverse) 30% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total value of shipments (per $ GDP) 30% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Value added (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (per $ GDP) 28% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) (inverse) 25% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) (inverse) 25% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) (inverse) 24% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages 23% [plot | correlate | graph]
...and  Crime > Terrorism > Victims of 9-11 23% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials 23% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) (inverse) 23% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total capital expenditures 22% [plot | correlate | graph]
...and  Health > Short-Stay Hospitals 22% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers (average per year) (per capita) 22% [plot | correlate | graph]
...and  Health > Admissions 21% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll 20% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per capita) (inverse) 20% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Chemical manufacturing (per $ GDP) 19% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Chemical manufacturing (per $ GDP) 19% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Legal services (per $ GDP) 19% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Apparel manufacturing (inverse) 19% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total value of shipments 18% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Individualized Education Program (per capita) 17% [plot | correlate | graph]
...and  Health > Retail Rx Drugs Per Capita 17% [plot | correlate | graph]
...and  Health > Inpatient Days 17% [plot | correlate | graph]
...and  Education > Assessments > % of Students Above Advanced > Grade 8 Writing (inverse) 17% [plot | correlate | graph]
...and  Health > Births of Low Birthweight as a % of Births 17% [plot | correlate | graph]
...and  Economy > Percent of Households With Cash Public Assistance Income (inverse) 16% [plot | correlate | graph]
...and  Health > Percent of Women with High Blood Pressure 16% [plot | correlate | graph]
...and  Health > Physical exercise (inverse) 16% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added (per $ GDP) (inverse) 15% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) (per capita) 15% [plot | correlate | graph]
...and  People > Percent of the Native Population Born in their State of Residence 15% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll (per capita) 15% [plot | correlate | graph]
...and  Energy > Nuclear Energy (per capita) 15% [plot | correlate | graph]
...and  Health > Diabetes per 100 Adults 14% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP) (inverse) 14% [plot | correlate | graph]
...and  Health > Emergency Room Visits 14% [plot | correlate | graph]
...and  People > Percent of People Who are Two or More Races (inverse) 14% [plot | correlate | graph]
...and  Health > Heart Disease Death Rate per 100,000 14% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Number of employees (per capita) 14% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 13% [plot | correlate | graph]
...and  Health > Smokeless tobacco users 13% [plot | correlate | graph]
Average: 23%

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. Per capita figures expressed per 10,000 population.

SOURCE: Annual Survey of Manufactures, 2004

Related links:
 

COMMENTARY     


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

Want to know more?
Search encyclopedia, statistics and forums:
 


Press Releases |  Feeds | Contact
© Copyright StateMaster.com 2003-2009. All Rights Reserved. Usage implies agreement with terms.