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Correlations > Economy Statistics > GSP > Chain-type Quantity Indexes > Construction

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Correlations between Economy > GSP > Chain-type Quantity Indexes > Construction ...

Variable Strength
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) (inverse) 41% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) (inverse) 40% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) (inverse) 36% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures (per $ GDP) (inverse) 33% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) (inverse) 33% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Manufacturing Industry (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Warehousing and storage (per $ GDP) (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Food services and drinking places 29% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Performing arts, museums, and related activities (per capita) 28% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Retail trade 27% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Renter-occupied Housing Units 27% [plot | correlate | graph]
...and  Health > Stroke Death Rate per 100,000 (inverse) 26% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Accommodation (per capita) 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Accommodation (per capita) 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Warehousing and storage (per $ GDP) (inverse) 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Accommodation (per capita) 26% [plot | correlate | graph]
...and  Economy > Personal income (per capita) 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Warehousing and storage (per capita) (inverse) 25% [plot | correlate | graph]
...and  Housing > Median Housing Value of Owner-Occupied Housing Units 25% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Warehousing and storage (per $ GDP) (inverse) 25% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Owner-occupied Housing Units With a Mortgage 25% [plot | correlate | graph]
...and  Health > Fruits and vegetables consumption 25% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Health > Alcohol consumption > Casual drinkers 24% [plot | correlate | graph]
...and  Health > Income Eligibility --Separate SCHIP Program 24% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Economy > Median Household Income 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Health > Obesity Rate (inverse) 24% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll (per $ GDP) (inverse) 23% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Number of employees (per capita) (inverse) 23% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages (per $ GDP) (inverse) 22% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials (per $ GDP) (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wholesale trade (per $ GDP) (inverse) 22% [plot | correlate | graph]
...and  People > Percent of the Native Population Born in their State of Residence (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing (per $ GDP) (inverse) 22% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees (per capita) (inverse) 22% [plot | correlate | graph]
...and  Health > Alcohol consumption > Heavy drinkers 21% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours (per capita) (inverse) 21% [plot | correlate | graph]
...and  Education > Percent of People Who Have Completed a Bachelor's Degree 21% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Economy > Median Family Income 21% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Construction (per capita) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Construction (per capita) 21% [plot | correlate | graph]
...and  Health > Overweight and Obesity Rate (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per capita) (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per $ GDP) (inverse) 21% [plot | correlate | graph]
Average: 25%

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: Construction, 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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