Datasets and Statistics subjectId: 690897

Data & Visualization Services Department

This department provides training and computing resources related to data analysis, data management, and data visualization. The department provides free consultive and instructional assistance to UM-affiliated patrons. 

This guide can be used to help you locate data, data repositories, and statistics to use in your research.

Finding Data and Statistics

The Finding Data and Statistics section of the guide links out to the Data & Visualization Services departmental page where you can learn more about the services that the department provides around finding and working with data.

Data at UM

The Data at UM section of the guide highlights the data sources that the University of Miami Libraries has purchased or subscribed to for the University community. 

Open (Free) Data

The Open (Free) Data section of the guide shares selected open data sources where you can access data for free. 

Data Purchase Program

The Data Purchase Program section of the guide provides you with an opportunity to request data for the University of Miami Libraries to purchase. 

The University of Miami Libraries supports access to data and statistics via subscriptions to data access databases and the purchasing of licensed datasets. Find a list of these data resources below. For additional data access resources, refer to the Databases A-Z list or see the lists at the very bottom of the page.

Paid Subscription - Data source accessible via subscription paid for by the University of Miami Libraries (UM authentication required)

Free Source - Free (Open) data source

On campus use only - Must be accessed on campus

The following is a list of licensed datasets that have been purchased by the University of Miami Libraries.

• Paid Subscription Power outages in Florida by city and utility. 
  • Dataset of electrical power outages in Florida at the city level, organized by utility provider and recorded at hourly intervals from 2018 through 2025. The data were derived from PowerOutage.us, an online platform that aggregates and tracks power outages across the United States in near real time. The dataset supports analysis of outage patterns, infrastructure reliability, and the impact of extreme weather events on electrical service.
• Paid Subscription Property Appraiser of Miami-Dade County data. 
  • Collection of datasets containing property assessment, ownership, tax roll, sales, land, building, and tangible personal property information maintained by the Property Appraiser of Miami-Dade County. Includes current assessment data, historical tax roll event snapshots, sales records, and property characteristics for real estate parcels and tangible personal property accounts. Data covers the timeframe from 2009 to May 4th, 2026. 
• Paid Subscription US Consumer Historical Dataset. (Data Axle) 
  • Consists of annual snapshots of historical address level data from Data Axle (previously known as InfoGroup) US Consumers database. Includes annual datasets with household, marketing and geographic information. The data can be represented as a time series of consumer records from 2006 to 2025.

If you are looking for a data source or dataset that we do not yet provide access to, please consider submitting a data purchase request for the data. See the Data Purchase Program section of this research guide for more information on how to apply. 

Paid Subscription ARL Annual Salary Survey

Paid Subscription ARL Statistics

Paid Subscription Business Insights: Global

Paid Subscription Business Monitor International (BMI) Industry Reports

Paid Subscription Candid Ultimate

Paid Subscription Columbia Gazetteer of the World Online

Paid Subscription ComAnalytics

Paid Subscription ERIC (EBSCO)

Paid Subscription ERIC (ProQuest)

Paid Subscription Erudit

Paid Subscription Essential Science Indicators

Paid Subscription Gale Digital Scholar Lab

Paid Subscription Gale In Context: Environmental Studies

Paid Subscription Gale In Context: Opposing Viewpoints

Paid Subscription Healthcare Administration Database (ProQuest)

/Both Paid Subscription and free source Inter-university Consortium for Political and Social Research (ICPSR)

Paid Subscription InCites

Paid Subscription Journal Citation Reports

Paid Subscription Knovel Library

Paid Subscription Mergent Market Atlas

Paid Subscription Mass Observation Project (Adam Matthew Collection)

Paid Subscription Morningstar Investing Center

Paid Subscription MRI Simmons

Paid Subscription Political Risk Yearbook

Paid Subscription StatsUSA

/Both paid subscription and on-campus use only S&P Capital IQ Pro (formerly S&P Global Market Intelligence)

Paid SubscriptionSage Data

Paid Subscription SAGE Research Methods Datasets 1

Paid Subscription SciVal

Paid Subscription SHELDUS

Paid Subscription Social Explorer

Paid Subscription Standard and Poor's NetAdvantage

Paid Subscription Stateman's Yearbook (SYBWorld)

Paid Subscription Statista

Paid Subscription Statistics Canada E-STAT

Paid Subscription WebCSD

Paid Subscription Wharton Research Data Services (WRDS)(Access only for faculty and PhD students)

In addition to the data sources above, the following sections will highlight selected free data sources.

Program Overview

The University of Miami Libraries’ Dataset Purchase Program is designed to support the University of Miami research community by providing the opportunity to request specific datasets to be purchased by the Libraries. 

Who Can Request a Dataset Purchase

University of Miami affiliated faculty, staff, and students are eligible to submit a request for the purchase of a dataset. 

Datasets that are Eligible for Purchase

The Dataset Purchase Program can only consider purchasing datasets that: 

• Can be purchased one-time. Datasets available through a subscription are not eligible for the Dataset Purchase Program. 

• Can be made available to all University of Miami faculty, staff, and students. 

• Do not have restrictions on access.  

• Do not require proprietary software for use. 

It is important to properly cite data just like you would cite other scholarly publications such as articles and books. Citing data ensures that the author or creator of the data receives appropriate credit. Additionally, citing data can improve the credibility of your research and allow anyone who is reviewing your work to have a better understanding of the sources used and where to locate the data themselves. 

While the citation standards for datasets are not uniformly agreeded upon, most citations will include the following elements:

• Author/Creator
• Title
• Publication Year
• Publisher
• Version (if relevant)
• Access Information (such as a DOI)