FACTOID # 2: Bookworms: Vermont has the highest number of high school teachers per capita and third highest number of librarians per capita.
 
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Correlations > Education Statistics > Public Libraries > Federal Revenue (per capita)

VIEW DATA:   Totals   Per capita   Per $ GDP  
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Showing latest available data.

Correlations between Education > Public Libraries > Federal Revenue (per capita) ...

Variable Strength
...and  Education > Public Libraries > Federal Revenue (per $ GDP) 92% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Rail transportation (inverse) 51% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent Other 47% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per capita) 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per capita) 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per capita) 44% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per capita) 43% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Pacific Islander 42% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Asian/Pacific Islander 40% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per $ GDP) 39% [plot | correlate | graph]
...and  People > Percent of People Who are Two or More Races 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Air transportation (per capita) 37% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Air transportation (per capita) 37% [plot | correlate | graph]
...and  People > Percent of People Who are Two or More Races Excluding Some Other Race 37% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Accommodation (per capita) 37% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Accommodation (per capita) 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Accommodation (per capita) 37% [plot | correlate | graph]
...and  Education > Public Libraries > State Revenue (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Water transportation (per $ GDP) 32% [plot | correlate | graph]
...and  Education > Public Libraries > State Revenue (per $ GDP) 31% [plot | correlate | graph]
...and  People > Percent of People Who are White Alone (inverse) 30% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries (per capita) 30% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food services and drinking places (per capita) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Accommodation (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Accommodation (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Air transportation (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Air transportation (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Accommodation (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food services and drinking places (per capita) 27% [plot | correlate | graph]
...and  Housing > Percent of Occupied Housing Units With 1.01 or More Occupants Per Room 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Pipeline transportation 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food services and drinking places (per capita) 27% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Pipeline transportation 27% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent White (inverse) 27% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > State Revenues (per capita) 27% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Water transportation (per $ GDP) 26% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Number of employees (per capita) (inverse) 26% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Production workers wages (per $ GDP) (inverse) 25% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers (average per year) (per capita) (inverse) 25% [plot | correlate | graph]
...and  Energy > Photovoltaic & Solar Thermal Energy Consumption (per capita) 25% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Energy > Photovoltaic & Solar Thermal Energy Consumption (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal civilian (per capita) 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal civilian (per capita) 23% [plot | correlate | graph]
...and  Health > Number of Medicare PDPs (inverse) 23% [plot | correlate | graph]
...and  Lifestyle > Percent of Men Who Never Married 23% [plot | correlate | graph]
...and  Labor > Percent of Workers Who Traveled to Work by Carpool 23% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Other transportation and support activities (per capita) 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Other transportation and support activities (per capita) 22% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Renter-occupied Housing Units 22% [plot | correlate | graph]
Average: 32%

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: This includes all federal government funds distributed to public libraries for expenditure by the public libraries, including federal money distributed by the state. Per capita figures expressed per 100 population.

SOURCE: National Center for Educational Statistics

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