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

	Variable	Strength
...and	Industry > Apparel manufacturing > Annual payroll (per capita)	29%	[plot \| correlate \| graph]
...and	Industry > Apparel manufacturing > Production workers wages (per $ GDP)	25%	[plot \| correlate \| graph]
...and	Industry > Apparel manufacturing > Annual payroll (per $ GDP)	23%	[plot \| correlate \| graph]
...and	Industry > Apparel manufacturing > Production workers wages	23%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Total capital expenditures	22%	[plot \| correlate \| graph]
...and	Industry > Apparel manufacturing > Total value of shipments (per $ GDP)	22%	[plot \| correlate \| graph]
...and	Labor > Apparel manufacturing > Production workers hours	21%	[plot \| correlate \| graph]
...and	Industry > Apparel manufacturing > Total cost of materials (per $ GDP)	21%	[plot \| correlate \| graph]
...and	Industry > Apparel manufacturing > Annual payroll	21%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Total value of shipments	20%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Primary metal manufacturing	20%	[plot \| correlate \| graph]
...and	Labor > Apparel manufacturing > Production workers hours (per capita)	20%	[plot \| correlate \| graph]
...and	Industry > Textile product mills > Value added	19%	[plot \| correlate \| graph]
...and	Industry > Beverage & tobacco product manufacturing > Annual payroll (per capita)	19%	[plot \| correlate \| graph]
...and	Industry > Beverage & tobacco product manufacturing > Annual payroll (per $ GDP)	18%	[plot \| correlate \| graph]
...and	Industry > Apparel manufacturing > Value added	18%	[plot \| correlate \| graph]
...and	Industry > Apparel manufacturing > Total cost of materials	18%	[plot \| correlate \| graph]
...and	Industry > Apparel manufacturing > Total value of shipments	17%	[plot \| correlate \| graph]
...and	Industry > Textile product mills > Total value of shipments	17%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Water transportation (per capita) (inverse)	15%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Water transportation (per capita) (inverse)	15%	[plot \| correlate \| graph]
...and	Industry > Apparel manufacturing > Value added (per $ GDP)	14%	[plot \| correlate \| graph]
...and	Industry > Apparel manufacturing > Total capital expenditures (per $ GDP)	14%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Waste management and remediation services (inverse)	14%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Educational services (per $ GDP) (inverse)	13%	[plot \| correlate \| graph]
...and	Industry > Textile product mills > Annual payroll	13%	[plot \| correlate \| graph]
...and	Industry > Textile product mills > Total cost of materials	13%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Educational services (per capita) (inverse)	13%	[plot \| correlate \| graph]
...and	Industry > Textile product mills > Value added (per $ GDP)	13%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Food product manufacturing	12%	[plot \| correlate \| graph]
...and	Labor > Textile product mills > Number of employees	12%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Transit and ground passenger transportation	12%	[plot \| correlate \| graph]
...and	Military > Navy Recruits: Percent Female	11%	[plot \| correlate \| graph]
...and	Education > Public Libraries > State Revenue (per $ GDP) (inverse)	11%	[plot \| correlate \| graph]
...and	Labor > Apparel manufacturing > Number of employees	10%	[plot \| correlate \| graph]
...and	Labor > Apparel manufacturing > Production workers (average per year)	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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Detailed correlation information
Map & Graph: states ranked

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: Utilities, 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 > Utilities

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

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