libraries {svrep}R Documentation

Public Libraries Survey (PLS): A Census of U.S. Public Libraries in FY2020

Description

Data taken from a complete census of public libraries in the United States in FY2020 (April 2020 to March 2021). The Public Libraries Survey (PLS) is an annual census of public libraries in the U.S., including all public libraries identified by state library administrative agencies in the 50 states, the District of Columbia, and the outlying territories of American Samoa, Guam, the Northern Mariana Islands, and the U.S. Virgin Islands (Puerto Rico did not participate in FY2020).

The primary dataset, library_census, represents the full microdata from the census. The datasets library_multistage_sample and library_stsys_sample are samples drawn from library_census using different sampling methods.

Usage

data(library_census)

data(library_multistage_sample)

data(library_stsys_sample)

Format

Library Census (library_census):

The dataset includes 9,245 records (one per library) and 23 variables. Each column has a variable label, accessible using the function var_label() from the 'labelled' package or simply by calling attr(x, 'label') to a given column. These data include a subset of the variables included in the public-use data published by PLS, specifically from the Public Library System Data File. Particularly relevant variables include:

Identifier variables and survey response status:

Numeric summaries:

Location:

Library Multistage Sample (library_multistage_sample):

These data represent a two-stage sample (PSUs and SSUs), where the first stage sample is selected using unequal probability sampling without replacement (PPSWOR) and the second stage sample is selected using simple random sampling without replacement (SRSWOR).

Includes the same variables as library_census, but with additional design variables.

Library Stratified Systematic Sample (library_stsys_sample):

These data represent a stratified systematic sample.

Includes the same variables as library_census, but with additional design variables.

References

Pelczar, M., Soffronoff, J., Nielsen, E., Li, J., & Mabile, S. (2022). Data File Documentation: Public Libraries in the United States Fiscal Year 2020. Institute of Museum and Library Services: Washington, D.C.


[Package svrep version 0.6.4 Index]