FACTOID # 3: 73.3% of America's gross operating surplus in motion picture and sound recording industries comes from California.
 
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Correlations > Economy Statistics > GSP > Gross Operating Surplus > Furniture and related product manufacturing (per $ GDP)

DEFINITION: Furniture and related product manufacturing, Gross Operating Surplus (current dollars) Per $ GDP figures expressed per 10,000 $ gross domestic product.
VIEW DATA:   Totals   Per capita   Per $ GDP  
Definition     Source      Printable version   
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Showing latest available data.

Correlations between Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing (per $ GDP) ...

Variable Strength
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing (per capita) 95% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per $ GDP) 64% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per $ GDP) 64% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per capita) 61% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per capita) 61% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 53% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 51% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures (per $ GDP) 51% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 45% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 41% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 40% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 39% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food services and drinking places (per capita) (inverse) 37% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 36% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 36% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 36% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 36% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 35% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers hours (per capita) 35% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees (per capita) 34% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 34% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 33% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 33% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing 33% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 32% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) 31% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) (per capita) 30% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 30% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 30% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages (per $ GDP) 29% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 28% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 28% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 28% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per $ GDP) 28% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) 27% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials (per $ GDP) 27% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 26% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Funds, trusts, and other financial vehicles 26% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 25% [plot | correlate | graph]
...and  Housing > Percent of Mortgaged Owners Spending 30% or More of Household Income on Selected Monthly Owner Costs (inverse) 25% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Transit and ground passenger transportation (per $ GDP) (inverse) 25% [plot | correlate | graph]
...and  Energy > Ethanol Consumption (per capita) 25% [plot | correlate | graph]
Average: 38%

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
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