FACTOID # 1: Idaho produces more milk than Iowa, Indiana and Illinois combined.
 
 Home   Statistics   States A-Z   Flags   Maps   FAQ   About 
 
 
 
WHAT'S NEW
RELATED STATS
People who viewed "Wood product manufacturing > Value added" also viewed these US stats:
 

SEARCH ALL

FACTS & STATISTICS   

Search encyclopedia, statistics and forums:

 

 

(* = Graphable)

 

 


Correlations > Industry Statistics > Wood product manufacturing > Value added

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

Showing latest available data.

Correlations between Industry > Wood product manufacturing > Value added ...

Variable Strength
...and  Industry > Wood product manufacturing > Total value of shipments 98% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 96% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 96% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll 95% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing 95% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 95% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 95% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials 93% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours 91% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 86% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing 79% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures 59% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities 57% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 49% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 47% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 45% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 45% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 44% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 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  Economy > GSP > Real GSP > Paper manufacturing 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 43% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 41% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 41% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 41% [plot | correlate | graph]
...and  Military > DOD Inactive Military Employees > Salaries & Wages 40% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 40% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 40% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 38% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 37% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 37% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 36% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 36% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 35% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 35% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 34% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 34% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 34% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Crop and animal production (Farms) 34% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 34% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 34% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 34% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) 34% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 34% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Number of employees 34% [plot | correlate | graph]
Average: 51%

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 measure of manufacturing activity is derived by subtracting the cost of materials, supplies, containers, fuel, purchased electricity, and contract work from the value of shipments (products manufactured plus receipts for services rendered). The result of this calculation is adjusted by the addition of value added by merchandising operations (i.e., the difference between the sales value and the cost of merchandise sold without further manufacture, processing, or assembly) plus the net change in finished goods and work-in-process between the beginning- and end-of-year inventories.

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.