Community & Cultural Services

Measuring the Number of Visitors to the Library through December 2017

This goal is measured by tracking Number of Visitors to the Library in unit.Explore the data
Final
Dec 2017 Target
Goal Period ended December 2017

        The Rancho Cucamonga Library sees approximately 1,000 visitors each day at the Archibald and Biane Libraries, and more than 550,000 visitors to the Library each year. Due to Rancho Cucamonga's central location between three major freeways, a large number of visitors utilize the many outstanding services that the Library has to offer. As a result, the Library serves not only the community of Rancho Cucamonga, but also an extensive amount of visitors from the Inland Empire and throughout California.

            Library Cardholders Throughout California

            Rancho Cucamonga Library programs, services and collections draw visitors not only from within our City boundaries, but throughout the Inland Empire and across the State of California. Approximately 81% of all Rancho Cucamonga residents have a Library card. In addition, there are currently 285,000 library cardholders, with 52% of all library patrons living within the City of Rancho Cucamonga and approximately 48% of cardholders living outside of Rancho Cucamonga

            Library Materials

            The Rancho Cucamonga Public Library has a large collection of materials totaling 300,000 items and an annual circulation of approximately 1.1 million. The Library's collection includes a great selection of children's books, best sellers, popular nonfiction, young adult tiles, magazines and feature film DVDs. The Library also subscribes to dozens of online resources such as eBooks, audiobooks and downloadable music that account for a circulation of approximately 50,000 annually.

            Library Materials Checked Out by Type 2014-2017 (YTD)

            This dataset is private.

      Data Governance

      describes the quality of the data itself. Governance issues generally indicate that the data source is considered incomplete or unreliable.

      Model Health

      describes the quality of the predictive model. If the model health is poor, the trend prediction should not be trusted.

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