FACTOID # 1: The top five best educated states are all in the Northeast.
 
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Correlations > Education Statistics > Public Libraries > Other Operating Expenditures (per $ GDP)

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

Correlations between Education > Public Libraries > Other Operating Expenditures (per $ GDP) ...

Variable Strength
...and  Education > Public Libraries > Total Operating Expenditures (per $ GDP) 84% [plot | correlate | graph]
...and  Education > Public Libraries > Total Revenue (per $ GDP) 82% [plot | correlate | graph]
...and  Education > Public Libraries > Total Staff Expenditures (per $ GDP) 71% [plot | correlate | graph]
...and  Education > Public Libraries > Other Operating Expenditures (per capita) 63% [plot | correlate | graph]
...and  Education > Public Libraries > Total Collection Expenditures (per $ GDP) 56% [plot | correlate | graph]
...and  Education > Public Libraries > Video Materials per 1,000 Population 46% [plot | correlate | graph]
...and  Education > Public Libraries > Total Collection Expenditures (per capita) 43% [plot | correlate | graph]
...and  Education > Public Libraries > Capital Expenditures (per $ GDP) 39% [plot | correlate | graph]
...and  Education > Public Libraries > Local Revenue (per $ GDP) 39% [plot | correlate | graph]
...and  Education > Public Libraries > Total Operating Expenditures (per capita) 39% [plot | correlate | graph]
...and  Education > Public Libraries > Total Circulation per Capita 38% [plot | correlate | graph]
...and  Education > Public Libraries > Audio Materials per 1,000 Population 38% [plot | correlate | graph]
...and  Education > Public Libraries > Other Staff(FTE) (per capita) 38% [plot | correlate | graph]
...and  Education > Public Libraries > Electronic Materials Expenditures (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing 37% [plot | correlate | graph]
...and  Education > Public Libraries > Total Revenue (per capita) 37% [plot | correlate | graph]
...and  Education > Public Libraries > Electronic Materials Expenditures (per capita) 34% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 32% [plot | correlate | graph]
...and  Education > Public Libraries > Capital Expenditures (per capita) 32% [plot | correlate | graph]
...and  Education > Public Libraries > Total Staff(FTE) (per capita) 32% [plot | correlate | graph]
...and  Education > Public Libraries > Library Visits per Capita 31% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 31% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 29% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments 28% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll (per capita) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 27% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 27% [plot | correlate | graph]
...and  Education > Public Libraries > Total Staff Expenditures (per capita) 27% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages (per $ GDP) 27% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 27% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Number of employees (per capita) 27% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 26% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials 26% [plot | correlate | graph]
...and  Education > Public Libraries > Electronic Materials Expenditures 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing 26% [plot | correlate | graph]
...and  Health > Change in Number with Medicaid 25% [plot | correlate | graph]
...and  Education > Public Libraries > Capital Expenditures 25% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing 24% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours (per capita) 24% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP) 24% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 24% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 23% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 23% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Number of employees 23% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll 23% [plot | correlate | graph]
Average: 34%

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 expenditures other than those for staff and collection. Per $ GDP figures expressed per 1,000 $ gross domestic product.

SOURCE: National Center for Educational Statistics

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