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Correlations > Economy Statistics > GSP > Chain-type Quantity Indexes > Other services, except government

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Correlations between Economy > GSP > Chain-type Quantity Indexes > Other services, except government ...

Variable Strength
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) (inverse) 30% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (inverse) 25% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total value of shipments (per $ GDP) (inverse) 25% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours (per capita) (inverse) 24% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers (average per year) (per capita) (inverse) 24% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (inverse) 24% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) (inverse) 24% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) (inverse) 23% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per capita) (inverse) 23% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (per $ GDP) (inverse) 23% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per $ GDP) (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per capita) (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per capita) (inverse) 22% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (inverse) 22% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees (per capita) (inverse) 22% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (inverse) 21% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per capita) (inverse) 21% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) (per capita) (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per $ GDP) (inverse) 20% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) (inverse) 20% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing (per $ GDP) (inverse) 20% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing (per $ GDP) (inverse) 20% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per capita) (inverse) 20% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing (per capita) (inverse) 20% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours (per capita) (inverse) 20% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per $ GDP) (inverse) 20% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) (inverse) 19% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) (inverse) 19% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) (inverse) 19% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per capita) (inverse) 19% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours (per capita) (inverse) 19% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing (per capita) (inverse) 19% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Manufacturing Industry (inverse) 19% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) (inverse) 19% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per capita) (inverse) 19% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Value added (per $ GDP) (inverse) 19% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees (per capita) (inverse) 19% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll (per capita) (inverse) 19% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll (per $ GDP) (inverse) 19% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (inverse) 18% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Hospitals and nursing and residential care facilities 18% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) (inverse) 18% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers (average per year) (inverse) 18% [plot | correlate | graph]
Average: 21%

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: Other services, except government, 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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