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Correlations > Economy Statistics > GSP > Chain-type Quantity Indexes > Wood product manufacturing

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Showing latest available data.

Correlations between Economy > GSP > Chain-type Quantity Indexes > Wood product manufacturing ...

Variable Strength
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) (inverse) 30% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Forestry, fishing, and related activities 30% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) (inverse) 30% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) (inverse) 30% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) (inverse) 30% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per capita) (inverse) 29% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) (inverse) 29% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added (per $ GDP) (inverse) 27% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Crime > Capital Punishment > Lethal injection 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per capita) 22% [plot | correlate | graph]
...and  People > Percent of residents over the age of 65 22% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Paper manufacturing 21% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per $ GDP) 20% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total capital expenditures (per $ GDP) 20% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (inverse) 19% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Female (inverse) 19% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Motor vehicle, body, trailer, and parts manufacturing (inverse) 17% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (inverse) 16% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP) (inverse) 16% [plot | correlate | graph]
...and  People > Percent of People 5 to 20 Years Old With a Disability (inverse) 15% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Male (per capita) 15% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (per $ GDP) (inverse) 15% [plot | correlate | graph]
...and  Health > Attempts to Quit Smoking (inverse) 14% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (inverse) 14% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Rail transportation (per capita) 13% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures (per $ GDP) (inverse) 13% [plot | correlate | graph]
...and  Energy > Fossil Fuel R & D Programs- Expenditures (per capita) 13% [plot | correlate | graph]
...and  People > Percent of People Who are 65 Years and Over 13% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Machinery manufacturing 13% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Intermediate Revenues (per $ GDP) 13% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours (per capita) (inverse) 13% [plot | correlate | graph]
...and  Energy > Alternative Fuel Vehicles (per capita) 13% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Accommodation (inverse) 12% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Rail transportation (per $ GDP) 11% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- American Indian/Alaskan (per capita) 11% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per capita) 11% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per capita) 11% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Undergraduate (per capita) 11% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 (per capita) 11% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per $ GDP) (inverse) 10% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Securities, commodity contracts, investments 10% [plot | correlate | graph]
...and  People > Percent of Households With One or More People 65 Years and Over 10% [plot | correlate | graph]
...and  Lifestyle > Percent of Households With One or More People 65 Years and Over 10% [plot | correlate | graph]
...and  Health > Pneumococcal Vaccines 10% [plot | correlate | graph]
Average: 17%

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: Wood product 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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