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

	Variable	Strength
...and	Labor > Leather & allied product manufacturing > Number of employees (per capita)	43%	[plot \| correlate \| graph]
...and	Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita)	43%	[plot \| correlate \| graph]
...and	Labor > Leather & allied product manufacturing > Production workers hours (per capita)	43%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP)	42%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP)	39%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Value added (per $ GDP)	35%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP)	34%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP)	33%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Annual payroll (per capita)	30%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Administrative and support services (per $ GDP) (inverse)	27%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Administrative and support services (per $ GDP) (inverse)	27%	[plot \| correlate \| graph]
...and	Labor > Nonmetallic mineral product manufacturing > Production workers (average per year) (inverse)	27%	[plot \| correlate \| graph]
...and	Labor > Electrical equipment, appliance, & component manufacturing > Production workers (average per year) (inverse)	26%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Oil and gas extraction (per capita)	24%	[plot \| correlate \| graph]
...and	Labor > Miscellaneous manufacturing > Number of employees (inverse)	24%	[plot \| correlate \| graph]
...and	Industry > Miscellaneous manufacturing > Total value of shipments (inverse)	24%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Oil and gas extraction (per capita)	24%	[plot \| correlate \| graph]
...and	Labor > Miscellaneous manufacturing > Production workers hours (inverse)	24%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Oil and gas extraction (per capita)	24%	[plot \| correlate \| graph]
...and	Health > Occupational Fatality Rate	23%	[plot \| correlate \| graph]
...and	Labor > Miscellaneous manufacturing > Production workers (average per year) (inverse)	23%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Performing arts, museums, and related activities (per $ GDP)	23%	[plot \| correlate \| graph]
...and	Industry > Food manufacturing > Annual payroll (inverse)	23%	[plot \| correlate \| graph]
...and	Industry > Miscellaneous manufacturing > Production workers wages (inverse)	23%	[plot \| correlate \| graph]
...and	Labor > Food manufacturing > Number of employees (inverse)	23%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Motor vehicle, body, trailer, and parts manufacturing	23%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Total capital expenditures (inverse)	23%	[plot \| correlate \| graph]
...and	Health > ADAP Insurance Purchasing/Maintenance Funds (inverse)	23%	[plot \| correlate \| graph]
...and	Industry > Total Manufacturing > Annual payroll (inverse)	22%	[plot \| correlate \| graph]
...and	Education > Postsecondary > Number Of Institutions > Total Degree Granting Title IV Eligible (inverse)	22%	[plot \| correlate \| graph]
...and	Industry > Miscellaneous manufacturing > Value added (inverse)	22%	[plot \| correlate \| graph]
...and	Economy > GSP > Compensation of Employees > Miscellaneous manufacturing (inverse)	22%	[plot \| correlate \| graph]
...and	Economy > Total tax burden (inverse)	21%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Total capital expenditures (per $ GDP)	21%	[plot \| correlate \| graph]
...and	Industry > Miscellaneous manufacturing > Total cost of materials (inverse)	21%	[plot \| correlate \| graph]
...and	Education > Postsecondary > Total Fall Enrollment > Graduate (inverse)	21%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Publishing including software (per $ GDP) (inverse)	21%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary > Total Students- White, non-Hispanic (inverse)	21%	[plot \| correlate \| graph]
...and	Economy > GSP > Compensation of Employees > Food product manufacturing (inverse)	21%	[plot \| correlate \| graph]
...and	Education > Postsecondary > Number Of Institutions > Two Year (inverse)	20%	[plot \| correlate \| graph]
...and	Education > Postsecondary > Degrees Awarded > Bachelors (inverse)	20%	[plot \| correlate \| graph]
...and	Government > Seats in the House of Representatives (inverse)	20%	[plot \| correlate \| graph]
...and	Industry > Machinery manufacturing > Total cost of materials (inverse)	20%	[plot \| correlate \| graph]
...and	Labor > Total Manufacturing > Number of employees (inverse)	20%	[plot \| correlate \| graph]
...and	Labor > Machinery manufacturing > Production workers hours (inverse)	20%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Retail trade	20%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Oil and gas extraction (per $ GDP)	20%	[plot \| correlate \| graph]
...and	Industry > Nonmetallic mineral product manufacturing > Total capital expenditures (inverse)	20%	[plot \| correlate \| graph]
...and	Education > Postsecondary > Degrees Awarded > Total (inverse)	20%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary Finance > State Revenues (inverse)	20%	[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.

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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: Accommodation, 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 > Accommodation

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

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