StateMaster - Correlations > Economy > GSP > Chain-type Quantity Indexes > Hospitals and nursing and residential care facilities

	Variable	Strength
...and	Economy > GSP > Chain-type Quantity Indexes > Food services and drinking places	29%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary > LEP/ELL Students (per capita)	28%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Annual payroll	28%	[plot \| correlate \| graph]
...and	Industry > Beverage & tobacco product manufacturing > Value added	27%	[plot \| correlate \| graph]
...and	Industry > Beverage & tobacco product manufacturing > Production workers wages	26%	[plot \| correlate \| graph]
...and	People > Population > Percent change, 2000-2005	26%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Production workers wages	25%	[plot \| correlate \| graph]
...and	Industry > Textile product mills > Total capital expenditures	25%	[plot \| correlate \| graph]
...and	Labor > Beverage & tobacco product manufacturing > Production workers hours	25%	[plot \| correlate \| graph]
...and	Health > Avg. Annual % Growth, FY1980-2000	24%	[plot \| correlate \| graph]
...and	Labor > Leather & allied product manufacturing > Production workers (average per year)	23%	[plot \| correlate \| graph]
...and	Industry > Beverage & tobacco product manufacturing > Total value of shipments	22%	[plot \| correlate \| graph]
...and	Labor > Leather & allied product manufacturing > Production workers hours	22%	[plot \| correlate \| graph]
...and	People > Percent of People Who Speak Spanish at Home	22%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Production workers (average per year)	22%	[plot \| correlate \| graph]
...and	Housing > Percent of Occupied Housing Units That Were Moved into in 2000 or Later	21%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary > Total Students- Hispanic (per capita)	21%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Number of employees	20%	[plot \| correlate \| graph]
...and	Education > Public Libraries > State Revenue (per $ GDP) (inverse)	20%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Production workers wages (per $ GDP) (inverse)	19%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Annual payroll (per capita) (inverse)	19%	[plot \| correlate \| graph]
...and	Health > Outpatient Visits (inverse)	19%	[plot \| correlate \| graph]
...and	Housing > Percent of Housing Units That Were Built in 2000 or Later	19%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing	18%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Production workers hours	18%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Other services, except government	18%	[plot \| correlate \| graph]
...and	Education > Public Libraries > State Revenue (per capita) (inverse)	18%	[plot \| correlate \| graph]
...and	Industry > Chemical manufacturing > Value added (per $ GDP) (inverse)	18%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Value added (inverse)	18%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Electrical equipment and appliance manufacturing (inverse)	18%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Annual payroll (per $ GDP) (inverse)	18%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Total capital expenditures (per $ GDP)	18%	[plot \| correlate \| graph]
...and	Health > Physician and Supplier Services (inverse)	18%	[plot \| correlate \| graph]
...and	Education > Public Libraries > Audio Materials per 1,000 Population (inverse)	17%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) (inverse)	17%	[plot \| correlate \| graph]
...and	People > Percent of People Who are 85 Years and Over (inverse)	17%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Federal Reserve banks, credit intermediation and related services	17%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Total capital expenditures	17%	[plot \| correlate \| graph]
...and	Labor > Primary metal manufacturing > Production workers hours (per capita) (inverse)	17%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary > Total Students- American Indian/Alaskan	17%	[plot \| correlate \| graph]
...and	Health > % Point Change in Medicaid (inverse)	16%	[plot \| correlate \| graph]
...and	People > Percent of Foreign Population Born in Latin America	16%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Annual payroll	16%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Computer and electronic product manufacturing (per capita)	16%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Annual payroll (per capita) (inverse)	16%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Computer and electronic product manufacturing (per capita)	16%	[plot \| correlate \| graph]
...and	People > Percent of the Native Population Born in their State of Residence (inverse)	15%	[plot \| correlate \| graph]
...and	People > Percent of People Who are Some Other Race Alone	15%	[plot \| correlate \| graph]
...and	Energy > Total Renewable Energy Produced	15%	[plot \| correlate \| graph]
...and	Industry > Textile product mills > Total value of shipments	15%	[plot \| correlate \| graph]
	Average:	20%

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: Hospitals and nursing and residential care facilities, 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 > Hospitals and nursing and residential care facilities

Correlations between Economy > GSP > Chain-type Quantity Indexes > Hospitals and nursing and residential care facilities ...

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