FACTOID # 4: Alaska spends more money per capita on elementary and secondary education than any other state.
 
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Correlations > Education Statistics > Public Libraries > Other Staff(FTE) (per capita)

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Education > Public Libraries > Other Staff(FTE) (per capita) ...

Variable Strength
...and  Education > Public Libraries > Total Staff(FTE) (per capita) 82% [plot | correlate | graph]
...and  Education > Public Libraries > Total Operating Expenditures (per capita) 81% [plot | correlate | graph]
...and  Education > Public Libraries > Total Staff Expenditures (per capita) 79% [plot | correlate | graph]
...and  Education > Public Libraries > Total Revenue (per capita) 77% [plot | correlate | graph]
...and  Education > Public Libraries > Other Operating Expenditures (per capita) 69% [plot | correlate | graph]
...and  Education > Public Libraries > Total Collection Expenditures (per capita) 60% [plot | correlate | graph]
...and  Education > Public Libraries > Total Staff Expenditures (per $ GDP) 59% [plot | correlate | graph]
...and  Education > Public Libraries > Total Operating Expenditures (per $ GDP) 55% [plot | correlate | graph]
...and  Education > Public Libraries > ALA-MLS Librarians(FTE) (per capita) 54% [plot | correlate | graph]
...and  Education > Public Libraries > Total Revenue (per $ GDP) 52% [plot | correlate | graph]
...and  Education > Public Libraries > Audio Materials per 1,000 Population 49% [plot | correlate | graph]
...and  Education > Public Libraries > Reference Transactions per Capita 49% [plot | correlate | graph]
...and  Education > Public Libraries > Library Visits per Capita 45% [plot | correlate | graph]
...and  Education > Public Libraries > Local Revenue (per capita) 42% [plot | correlate | graph]
...and  Education > Public Libraries > Video Materials per 1,000 Population 38% [plot | correlate | graph]
...and  Education > Public Libraries > Other Operating Expenditures (per $ GDP) 38% [plot | correlate | graph]
...and  Education > Public Libraries > Electronic Materials Expenditures (per capita) 38% [plot | correlate | graph]
...and  Economy > Median Earnings for Male Full-Time, Year-Round Workers 32% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages 31% [plot | correlate | graph]
...and  Education > Public Libraries > Electronic Materials Expenditures (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Value added 30% [plot | correlate | graph]
...and  Education > Public Libraries > Total Circulation per Capita 28% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments 27% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Ungraded Students (per capita) 27% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Non-Instructional Expend.- Subtotal (per $ GDP) (inverse) 26% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Support Services Expenditure- Subtotal (per capita) 26% [plot | correlate | graph]
...and  Education > Public Libraries > Electronic Materials Expenditures 26% [plot | correlate | graph]
...and  Housing > Percent of Housing Units That are Mobile Homes (inverse) 26% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll 25% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motor vehicle, body, trailer, and parts manufacturing 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Retail trade (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Economy > Median Earnings for Female Full-Time, Year-Round Workers 24% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials 24% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > State and local (per $ GDP) (inverse) 23% [plot | correlate | graph]
...and  Economy > Personal income (per capita) 23% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Total Expenditures for Education (per capita) 23% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 23% [plot | correlate | graph]
...and  Health > ADAP Insurance Purchasing/Maintenance Funds 23% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Management of companies and enterprises (per capita) 22% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Management of companies and enterprises (per capita) 22% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Total Revenue from All Sources (per capita) 22% [plot | correlate | graph]
...and  Education > Public Libraries > Circulation of Children's Materials 22% [plot | correlate | graph]
...and  Industry > Miscellaneous manufacturing > Total cost of materials 21% [plot | correlate | graph]
...and  Education > Public Libraries > Current Print Serial Subscriptions per 1,000 Population 21% [plot | correlate | graph]
...and  Industry > Miscellaneous manufacturing > Total value of shipments 21% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (inverse) 21% [plot | correlate | graph]
...and  Labor > Miscellaneous manufacturing > Production workers (average per year) 21% [plot | correlate | graph]
...and  Economy > Nest Egg Index 21% [plot | correlate | graph]
...and  Education > Public Libraries > Circulation of Children's Materials (per capita) 20% [plot | correlate | graph]
Average: 35%

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: All FTE employees, other than persons with the title of librarian and ALA-MLS librarians, paid from the reporting unit budget, including plant operations, security, and maintenance staff. Per capita figures expressed per 1,000 population.

SOURCE: National Center for Educational Statistics

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