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Correlations > Education Statistics > Public Libraries > Total Collection Expenditures (per capita)

DEFINITION: This is the sum of all expenditures for print materials, electronic materials, and other materials. Per capita figures expressed per 1 population.
VIEW DATA:   Totals   Per capita   Per $ GDP  
Definition     Source      Printable version   
    Bar Graph   Map   Correlations  

Showing latest available data.

Correlations between Education > Public Libraries > Total Collection Expenditures (per capita) ...

Variable Strength
...and  Education > Public Libraries > Total Revenue (per capita) 76% [plot | correlate | graph]
...and  Education > Public Libraries > Total Operating Expenditures (per capita) 75% [plot | correlate | graph]
...and  Education > Public Libraries > Total Staff Expenditures (per capita) 66% [plot | correlate | graph]
...and  Education > Public Libraries > Total Revenue (per $ GDP) 65% [plot | correlate | graph]
...and  Education > Public Libraries > Other Operating Expenditures (per capita) 65% [plot | correlate | graph]
...and  Education > Public Libraries > Total Operating Expenditures (per $ GDP) 64% [plot | correlate | graph]
...and  Education > Public Libraries > Total Staff Expenditures (per $ GDP) 64% [plot | correlate | graph]
...and  Education > Public Libraries > Total Collection Expenditures (per $ GDP) 61% [plot | correlate | graph]
...and  Education > Public Libraries > Other Staff(FTE) (per capita) 60% [plot | correlate | graph]
...and  Education > Public Libraries > Audio Materials per 1,000 Population 57% [plot | correlate | graph]
...and  Education > Public Libraries > Total Staff(FTE) (per capita) 56% [plot | correlate | graph]
...and  Education > Public Libraries > Video Materials per 1,000 Population 56% [plot | correlate | graph]
...and  Education > Public Libraries > Electronic Materials Expenditures (per capita) 52% [plot | correlate | graph]
...and  Education > Public Libraries > Total Circulation per Capita 47% [plot | correlate | graph]
...and  Education > Public Libraries > Other Operating Expenditures (per $ GDP) 43% [plot | correlate | graph]
...and  Education > Public Libraries > Library Visits per Capita 43% [plot | correlate | graph]
...and  Education > Public Libraries > Electronic Materials Expenditures (per $ GDP) 42% [plot | correlate | graph]
...and  Education > Public Libraries > Circulation of Children's Materials (per capita) 42% [plot | correlate | graph]
...and  Education > Public Libraries > Current Print Serial Subscriptions per 1,000 Population 39% [plot | correlate | graph]
...and  Education > Public Libraries > ALA-MLS Librarians(FTE) (per capita) 39% [plot | correlate | graph]
...and  Economy > Median Earnings for Male Full-Time, Year-Round Workers 36% [plot | correlate | graph]
...and  Economy > Nest Egg Index 36% [plot | correlate | graph]
...and  Education > Public Libraries > Local Revenue (per capita) 35% [plot | correlate | graph]
...and  Health > Smokeless tobacco users (inverse) 34% [plot | correlate | graph]
...and  Housing > Percent of Housing Units That are Mobile Homes (inverse) 32% [plot | correlate | graph]
...and  Education > Public Libraries > Capital Expenditures (per capita) 31% [plot | correlate | graph]
...and  Education > Public Libraries > Circulation of Children's Materials 31% [plot | correlate | graph]
...and  Education > Assessments > % of Students Above Advanced > Grade 8 Reading 31% [plot | correlate | graph]
...and  Education > Public Libraries > Electronic Materials Expenditures 30% [plot | correlate | graph]
...and  Education > Assessments > % of Students Above Advanced > Grade 8 Science 30% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Local Revenue- Subtotal (per capita) 30% [plot | correlate | graph]
...and  Health > Motor Vehicle Death Rate (inverse) 29% [plot | correlate | graph]
...and  Economy > Median Family Income 29% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials (per $ GDP) (inverse) 29% [plot | correlate | graph]
...and  Health > Percent of Women who had Dental Visit 28% [plot | correlate | graph]
...and  Education > Public Libraries > Reference Transactions per Capita 28% [plot | correlate | graph]
...and  Industry > Industrial firms > Total number of employees (per capita) 27% [plot | correlate | graph]
...and  Education > Assessments > % of Students Above Advanced > Grade 4 Math 26% [plot | correlate | graph]
...and  Economy > Median Household Income 26% [plot | correlate | graph]
...and  Economy > Percent of People 65 Years and Over Below Poverty Level (inverse) 26% [plot | correlate | graph]
...and  Economy > Percent below poverty level (inverse) 25% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (per $ GDP) (inverse) 25% [plot | correlate | graph]
...and  Health > Number of Special Care Beds 25% [plot | correlate | graph]
...and  People > Percent of People 65 Years and Over With a Disability (inverse) 24% [plot | correlate | graph]
...and  Education > Public Libraries > Capital Expenditures 24% [plot | correlate | graph]
...and  Education > Public Libraries > Local Revenue (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > Median Earnings for Female Full-Time, Year-Round Workers 24% [plot | correlate | graph]
...and  Education > Public Libraries > Capital Expenditures (per $ GDP) 23% [plot | correlate | graph]
...and  Education > Assessments > % of Students Above Advanced > Grade 8 Math 23% [plot | correlate | graph]
...and  Education > Percent of People Who Have Completed an Advanced Degree 23% [plot | correlate | graph]
Average: 39%

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
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