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 > Chain-type Quantity Indexes > Electrical equipment and appliance manufacturing

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Correlations between Economy > GSP > Chain-type Quantity Indexes > Electrical equipment and appliance manufacturing ...

Variable Strength
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (inverse) 41% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (inverse) 34% [plot | correlate | graph]
...and  Crime > Homicide > Victims by Sex > Male (inverse) 26% [plot | correlate | graph]
...and  Crime > Homicide > Victims by Sex > Female 26% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total capital expenditures (per $ GDP) (inverse) 25% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Annual payroll (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total value of shipments (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (inverse) 24% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Value added (per $ GDP) (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Computer and electronic product manufacturing (per capita) (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Computer and electronic product manufacturing (per capita) (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Computer and electronic product manufacturing (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Computer and electronic product manufacturing (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (inverse) 21% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Annual payroll (per capita) (inverse) 20% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing (per capita) (inverse) 19% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Hospitals and nursing and residential care facilities (inverse) 18% [plot | correlate | graph]
...and  People > Percent of People Who are Two or More Races Excluding Some Other Race 18% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing (per $ GDP) (inverse) 17% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Non-Instructional Expend.- Subtotal (per capita) 17% [plot | correlate | graph]
...and  Labor > Computer & electronic product manufacturing > Production workers hours (per capita) (inverse) 17% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (inverse) 16% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Other professional, scientific and technical services (per $ GDP) (inverse) 16% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Other professional, scientific and technical services (per $ GDP) (inverse) 16% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Production workers wages (inverse) 16% [plot | correlate | graph]
...and  Health > % of Nursing Homes w/ Serious Deficiencies (inverse) 15% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown (per capita) (inverse) 15% [plot | correlate | graph]
...and  People > Percent of Foreign Population Born in Asia 15% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Hispanic (per capita) (inverse) 15% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Asian / Pacific Islander (per capita) (inverse) 15% [plot | correlate | graph]
...and  Health > Medicaid Managed Care Capitation Rates (inverse) 15% [plot | correlate | graph]
...and  Energy > Nuclear Energy R & D and Waste Management Programs- Expenditures (per capita) (inverse) 15% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motion picture and sound recording industries (per capita) (inverse) 14% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal Reserve banks, credit intermediation and related services (per capita) (inverse) 14% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal Reserve banks, credit intermediation and related services (per capita) (inverse) 14% [plot | correlate | graph]
...and  Health > Number of Medicare PDPs (inverse) 14% [plot | correlate | graph]
...and  Health > Nonfederal Primary Care Physicians 14% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures (per $ GDP) 14% [plot | correlate | graph]
...and  Energy > Basic Energy R & D: Nuclear Physics and Others- Expenditures (per capita) (inverse) 14% [plot | correlate | graph]
...and  Education > Public Libraries > Reference Transactions per Capita (inverse) 14% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per capita) 13% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per capita) 13% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Hispanic (per capita) (inverse) 13% [plot | correlate | graph]
...and  People > Percent of People Who Speak Spanish at Home (inverse) 13% [plot | correlate | graph]
...and  People > Percent of People Who are Two or More Races 13% [plot | correlate | graph]
...and  Education > Public Libraries > Federal Revenue (per capita) 13% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Plastics and rubber products manufacturing 13% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Non-Instructional Expend.- Subtotal (per $ GDP) 13% [plot | correlate | graph]
...and  Labor > Computer & electronic product manufacturing > Number of employees (per capita) (inverse) 13% [plot | correlate | graph]
...and  Health > Overweight and Obesity Rate 13% [plot | correlate | graph]
Average: 18%

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



DEFINITION: Electrical equipment and appliance manufacturing, Chain-type Quantity Indexes (2000 = 100) A quantity index is an index number that measures the change in the level of a quantity from a base year, apart from anychanges in relative prices. The value of the quantity index is 100 for the base year.The Bureau of Economic Analysis uses chain-type annual-weighted indexes, also known as Fisher indexes, as its measure of realoutput and prices. These measures allow for the effects of changes in relative prices and in the composition of output overtime, thereby eliminating a major source of bias inherent in fixed-weight indexes.

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

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