FACTOID # 1: South Dakota has the highest employment ratio in America, but the lowest median earnings of full-time male employees.
 
 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 > Wood product manufacturing > Production workers hours

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

Showing latest available data.

Correlations between Labor > Wood product manufacturing > Production workers hours ...

Variable Strength
...and  Labor > Wood product manufacturing > Production workers (average per year) 92% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 91% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added 91% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll 90% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing 90% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 90% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments 90% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 90% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials 85% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 80% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing 73% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities 53% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 52% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures 51% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 50% [plot | correlate | graph]
...and  Military > DOD Inactive Military Employees > Salaries & Wages 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 49% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 49% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 48% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 48% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 47% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 47% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 46% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 45% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 45% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 45% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 44% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 44% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 44% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 43% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 43% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 43% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers hours 43% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities 43% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 42% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 42% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 42% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 42% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 42% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 42% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 41% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 41% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures 41% [plot | correlate | graph]
Average: 54%

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 covers all hours worked or paid for at the manufacturing plant, including actual overtime hours (not straight-time equivalent hours). It excludes hours paid for vacations, holidays, or sick leave when the employee is not at the establishment.

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.