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StateMaster - Correlations > Economy > GSP > Real GSP > Furniture and related product manufacturing (per capita)
 

Correlations > Economy Statistics > GSP > Real GSP > Furniture and related product manufacturing (per capita)

DEFINITION: Furniture and related product manufacturing, Real GSP (chained 2000 dollars) GSP, or Gross State Product is the value of all the goods and services produced in a state. Specific industries measured will give the value of all goods and services in that industry. The Nominal Gross State Product measures the value of all the goods and services produced expressed in current prices. On the other hand, Real Gross State Product measures the value of all the goods and services produced expressed in the prices of some base year. Per capita figures expressed per 1 population.

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Correlations between Economy > GSP > Real GSP > Furniture and related product manufacturing (per capita) ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per capita) 100% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per $ GDP) 96% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per $ GDP) 96% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added (per $ GDP) 82% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments (per $ GDP) 81% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees (per capita) 72% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) (per capita) 70% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials (per $ GDP) 68% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Production workers wages (per $ GDP) 66% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours (per capita) 64% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing (per capita) 63% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing (per $ GDP) 62% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) 59% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll 58% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 56% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures (per $ GDP) 50% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees (per capita) 48% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 45% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Manufacturing Industry 43% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll (per capita) 43% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 42% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per $ GDP) 42% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 42% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Annual payroll (per $ GDP) 41% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) 41% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing 39% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per capita) 38% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours (per capita) 37% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 36% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 36% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per $ GDP) 36% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 36% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 36% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 36% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 35% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Number of employees (per capita) 35% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 35% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 34% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 34% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 33% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) 32% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 30% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 29% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) (per capita) 29% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing (per capita) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing (per capita) 28% [plot | correlate | graph]
Average: 48%

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.

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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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