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Correlations > Economy Statistics > GSP > Gross Operating Surplus > Wood product manufacturing

VIEW DATA:   Totals   Per capita   Per $ GDP  
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Showing latest available data.

Correlations between Economy > GSP > Gross Operating Surplus > Wood product manufacturing ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 89% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing 88% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added 78% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 76% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll 76% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments 74% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 72% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 72% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours 72% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 72% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials 68% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing 44% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities 44% [plot | correlate | graph]
...and  Military > DOD Inactive Military Employees > Salaries & Wages 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 38% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 38% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military 37% [plot | correlate | graph]
...and  Health > Number of Inpatient Beds 36% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing 36% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 36% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 36% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 36% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 35% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 35% [plot | correlate | graph]
...and  Labor > Food manufacturing > Number of employees 35% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 35% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing (per capita) 35% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 34% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Branch Libraries 34% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military 34% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military 34% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities 33% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 33% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Federal military 33% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 33% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures 33% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 33% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages 33% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 32% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 32% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 32% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 32% [plot | correlate | graph]
Average: 45%

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: Wood product manufacturing, Gross Operating Surplus (current dollars)

SOURCE: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003.

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