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Correlations > Economy Statistics > GSP > Chain-type Quantity Indexes > Retail trade

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Correlations between Economy > GSP > Chain-type Quantity Indexes > Retail trade ...

Variable Strength
...and  Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP) 45% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) 44% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per capita) 44% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 43% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (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 cost of materials (per $ GDP) 39% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added (per $ GDP) 36% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 35% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (per $ GDP) 34% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Construction 27% [plot | correlate | graph]
...and  Energy > State Energy Program and Special Projects- Expenditures (per capita) 27% [plot | correlate | graph]
...and  Energy > State Energy Program and Special Projects- Expenditures (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Construction (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Construction (per capita) 23% [plot | correlate | graph]
...and  Health > HCBS Aged & Aged/Disabled (inverse) 23% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll (per capita) (inverse) 23% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Retail trade (per capita) 23% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added (per $ GDP) (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Food services and drinking places 21% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages (inverse) 20% [plot | correlate | graph]
...and  Energy > Renewable Hydroelectric Production (per capita) 20% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours (inverse) 20% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Accommodation 20% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll (per $ GDP) (inverse) 20% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials (inverse) 20% [plot | correlate | graph]
...and  Health > % of Nursing Homes w/ Serious Deficiencies (inverse) 20% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Construction (per $ GDP) 20% [plot | correlate | graph]
...and  Education > Public Libraries > Reference Transactions per Capita (inverse) 20% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Construction (per $ GDP) 20% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Wholesale trade 20% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Real estate 20% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures (per $ GDP) (inverse) 19% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments 19% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments (inverse) 19% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added (inverse) 18% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll (inverse) 18% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Number of employees (per capita) (inverse) 18% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures (inverse) 18% [plot | correlate | graph]
...and  People > Percent of Civilian Population Who are Veterans 18% [plot | correlate | graph]
...and  Health > Avg. Annual % Growth, FY1980-2000 18% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Retail trade (per $ GDP) 18% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Free Lunch Eligible (per capita) (inverse) 18% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP) (inverse) 18% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials (inverse) 18% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures (inverse) 18% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Number of employees (inverse) 17% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added (inverse) 17% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments (inverse) 17% [plot | correlate | graph]
...and  Labor > Food manufacturing > Number of employees (inverse) 17% [plot | correlate | graph]
Average: 24%

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: Retail trade, 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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