Dig into FY 2008 data on public library systems (referred to as administrative entities in the Public Libraries Survey) and main libraries, branches, and bookmobiles (outlets in PLS). Use the administrative entity data to explore system-level organizational characteristics, staff, income and expenditures, sizes of collections, and library services offered to the public. Use the outlet-level data to find organizational characteristics such as public service hours and weeks open per year. Downloadable data files for the FY 2008 data collection are provided in comma separated value (.csv) and SAS (.sas7bdat) formats.

Dig into FY 2009 data on public library systems (referred to as administrative entities in the Public Libraries Survey) and main libraries, branches, and bookmobiles (outlets in PLS). Use the administrative entity data to explore system-level organizational characteristics, staff, income and expenditures, sizes of collections, and library services offered to the public. Use the outlet-level data to find organizational characteristics such as public service hours and weeks open per year. Downloadable data files for the FY 2009 data collection are provided in comma separated value (.csv) and SAS (.sas7bdat) formats.

Dig into FY 2010 data on public library systems (referred to as administrative entities in the Public Libraries Survey) and main libraries, branches, and bookmobiles (outlets in PLS). Use the administrative entity data to explore system-level organizational characteristics, staff, income and expenditures, sizes of collections, and library services offered to the public. Use the outlet-level data to find organizational characteristics such as public service hours and weeks open per year. Downloadable data files for the FY 2010 data collection are provided in comma separated value (.csv) and SAS (.sas7bdat) formats.

Dig into FY 2011 data on public library systems (referred to as administrative entities in the Public Libraries Survey) and main libraries, branches, and bookmobiles (outlets in PLS). Use the administrative entity data to explore system-level organizational characteristics, staff, income and expenditures, sizes of collections, and library services offered to the public. Use the outlet-level data to find organizational characteristics such as public service hours and weeks open per year. Downloadable data files for the FY 2011 data collection are provided in comma separated value (.csv) and SAS (.sas7bdat) formats.

Find key information on trends in library systems around the United States from FY 1992 to FY 2012.These data include imputed values for libraries that did not submit information in the annual data collections. Imputation is a procedure for estimating a value for a specific data item where the response is missing.Download PLS data files to see imputation flag variables or learn more on the imputation methods used in each fiscal year at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data

Find key information on library systems around the United States.These data include imputed values for libraries that did not submit information in the FY 2012 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing.Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2012 at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data

Find key information on library systems around the United States.These data include imputed values for libraries that did not submit information in the FY 2013 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing.Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2013 at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data

Find key information on library systems around the United States.These data include imputed values for libraries that did not submit information in the FY 2014 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing.Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2014 at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data