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Correlations > Economy Statistics > GSP > Chain-type Quantity Indexes > Air transportation

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Correlations between Economy > GSP > Chain-type Quantity Indexes > Air transportation ...

Variable Strength
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (per $ GDP) 81% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP) 71% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP) 66% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added (per $ GDP) 60% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per capita) 41% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) 41% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 34% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 33% [plot | correlate | graph]
...and  Health > Smokeless tobacco users 28% [plot | correlate | graph]
...and  Housing > Percent of Occupied Housing Units With Fuel Oil, Kerosene, Etc. as Principal Heating Fuel 27% [plot | correlate | graph]
...and  People > Women (Per 1,000) Who Had a Birth in the Past 12 Months (inverse) 26% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 26% [plot | correlate | graph]
...and  Health > Tobacco use > Former smokers 26% [plot | correlate | graph]
...and  Health > Birth Rate per 1,000 (inverse) 23% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Wholesale trade 21% [plot | correlate | graph]
...and  People > Median Age 20% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Other transportation equipment manufacturing (per $ GDP) 20% [plot | correlate | graph]
...and  People > Percent of People 5 to 20 Years Old With a Disability 20% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added 19% [plot | correlate | graph]
...and  People > Percent of Foreign Population Born in Europe 19% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 17% [plot | correlate | graph]
...and  Health > SSDI Beneficiaries as % of Population 16% [plot | correlate | graph]
...and  Health > Outpatient Visits 15% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Administrative and support services (per $ GDP) (inverse) 15% [plot | correlate | graph]
...and  Health > Asthma > Adult cases 15% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Other transportation equipment manufacturing (per capita) 15% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Administrative and support services (per $ GDP) (inverse) 15% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours (per capita) 14% [plot | correlate | graph]
...and  Health > Tobacco use > Everyday smokers 14% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Staff (per capita) 14% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments 14% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials 14% [plot | correlate | graph]
...and  People > Percent of Foreign Population Born in Latin America (inverse) 13% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 13% [plot | correlate | graph]
...and  Health > Emergency Room Visits 13% [plot | correlate | graph]
...and  Housing > Percent of Occupied Housing Units That are Owner-occupied 13% [plot | correlate | graph]
...and  Economy > Percent of Households With Retirement Income 13% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees (per capita) 13% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Female (inverse) 13% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Pupil/Teacher Ratio (inverse) 12% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Male 12% [plot | correlate | graph]
...and  Education > Public Libraries > Reference Transactions per Capita (inverse) 12% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Utilities (per capita) 12% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Motor vehicle, body, trailer, and parts manufacturing 12% [plot | correlate | graph]
...and  People > Percent of People Who are White Alone, Not Hispanic or Latino 12% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Crop and animal production (Farms) (inverse) 12% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Crop and animal production (Farms) (inverse) 12% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per capita) 12% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Utilities (per $ GDP) 11% [plot | correlate | graph]
Average: 23%

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: Air transportation, 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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