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Data & Statistics

Welcome & Quick Links

This guide is meant to provide you with starting points for finding microdata, aggregate data, data analysis tools and more. 

Need some help? As your Data Librarian, I am available to help answer any data, library or research-related questions you may have. Feel free to schedule an appointment with me using the 'Schedule Appointment' button under my photo. 



Data are information or characteristics collected through observation, meaning there are many different types of data including:


Microdata are the individual responses or observations, before statistical analysis has been applied. Sometimes referred to as "raw" data. Microdata usually needs to be interpreted using analysis software. Microdata collected about people needs to be anonymized before they can be published for public use so specific individuals cannot be identified.

Aggregate Data

Unlike microdata, aggregate data, or statistics, are not in their 'raw form'. They are the result of statistical analysis, often compiled and presented in a summary report or a table. Totals, averages, and percentages are examples of aggregate data. 

Geospatial Data

Data that includes geographic positioning information relative to a coordinate system. Geospatial data usually needs to be interpreted using GIS software.

Time Series Data

Observations of the same variable made over time, such as climate data.

Textual Data

Systematically collected material consisting of written, printed, or electronically published words, typically either purposefully written or transcribed from speech.

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