StateMaster - Correlations > Economy > GSP > Chain-type Quantity Indexes

	Variable	Strength
...and	Economy > GSP > Chain-type Quantity Indexes > Real estate	34%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Social assistance	34%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Hospitals and nursing and residential care facilities	29%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Construction	29%	[plot \| correlate \| graph]
...and	Health > Nursing Home Residents as % of 65+ Pop (inverse)	27%	[plot \| correlate \| graph]
...and	Health > HIV Testing Rate > Ever Tested	25%	[plot \| correlate \| graph]
...and	People > Percent of the Native Population Born in their State of Residence (inverse)	25%	[plot \| correlate \| graph]
...and	Health > Avg. Annual % Growth, FY1980-2000	24%	[plot \| correlate \| graph]
...and	Energy > Geothermal Energy Consumed	23%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Construction (per capita)	22%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Retail trade	21%	[plot \| correlate \| graph]
...and	Labor > Beverage & tobacco product manufacturing > Production workers hours	21%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Crop and animal production (Farms) (inverse)	21%	[plot \| correlate \| graph]
...and	Housing > Median Monthly Housing Costs for Renter-occupied Housing Units	20%	[plot \| correlate \| graph]
...and	Government > 1972 Election > Youth voter turnout (inverse)	20%	[plot \| correlate \| graph]
...and	Industry > Total Manufacturing > Total cost of materials (per $ GDP) (inverse)	20%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Construction (per $ GDP)	19%	[plot \| correlate \| graph]
...and	People > Population > Percent change, 2000-2005	19%	[plot \| correlate \| graph]
...and	Labor > Machinery manufacturing > Production workers hours (per capita) (inverse)	19%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Accommodation	19%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Accommodation	19%	[plot \| correlate \| graph]
...and	Education > Postsecondary > Degrees Awarded > Total (per capita) (inverse)	19%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) (inverse)	18%	[plot \| correlate \| graph]
...and	Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita)	18%	[plot \| correlate \| graph]
...and	Energy > Total Renewable Energy Produced	18%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing (per capita) (inverse)	17%	[plot \| correlate \| graph]
...and	Housing > Percent of Mortgaged Owners Spending 30% or More of Household Income on Selected Monthly Owner Costs	17%	[plot \| correlate \| graph]
...and	Industry > Beverage & tobacco product manufacturing > Value added	17%	[plot \| correlate \| graph]
...and	Education > Public Libraries > Federal Revenue (per $ GDP)	17%	[plot \| correlate \| graph]
...and	Industry > Miscellaneous manufacturing > Total capital expenditures (per $ GDP)	17%	[plot \| correlate \| graph]
...and	People > Percent of People Who are Native Hawaiian and Other Pacific Islander Alone	17%	[plot \| correlate \| graph]
...and	Industry > Total Manufacturing > Total value of shipments (per $ GDP) (inverse)	17%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Other services, except government	17%	[plot \| correlate \| graph]
...and	People > Percent of People Who Lived in a Different State 1 Year Ago	17%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Annual payroll (inverse)	17%	[plot \| correlate \| graph]
...and	Labor > Machinery manufacturing > Production workers (average per year) (per capita) (inverse)	17%	[plot \| correlate \| graph]
...and	Industry > Machinery manufacturing > Production workers wages (per $ GDP) (inverse)	17%	[plot \| correlate \| graph]
...and	Energy > Total Energy Consumption (per capita) (inverse)	17%	[plot \| correlate \| graph]
...and	Crime > Arson deaths (inverse)	16%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Total capital expenditures (per $ GDP) (inverse)	16%	[plot \| correlate \| graph]
...and	Labor > Primary metal manufacturing > Production workers hours (inverse)	16%	[plot \| correlate \| graph]
...and	Housing > Percent of Occupied Housing Units With Gas as Principal Heating Fuel (inverse)	15%	[plot \| correlate \| graph]
...and	Health > Outpatient Visits (inverse)	15%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Annual payroll (per capita) (inverse)	15%	[plot \| correlate \| graph]
...and	Labor > Transportation equipment manufacturing > Production workers hours (per capita) (inverse)	15%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Total capital expenditures (inverse)	15%	[plot \| correlate \| graph]
...and	Energy > Weatherization Assistance for Low-Income Persons- Expenditures (inverse)	14%	[plot \| correlate \| graph]
...and	Health > Physician and Supplier Services (inverse)	14%	[plot \| correlate \| graph]
...and	Industry > Machinery manufacturing > Total capital expenditures (per $ GDP) (inverse)	14%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Accommodation	14%	[plot \| correlate \| graph]
	Average:	19%

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: Food services and drinking places, 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.

Correlations > Economy Statistics > GSP > Chain-type Quantity Indexes > Food services and drinking places

Correlations between Economy > GSP > Chain-type Quantity Indexes > Food services and drinking places ...

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