Data analysis has come to impact nearly every facet of existence in the developed world, including one of the most fundamental aspects of human existence: real estate. But the vast amount of available property data can also benefit colleges and universities across the entire country.
University property data provides valuable insight into various aspects of behavior, finance, health and well being to empower and strengthen the research of every member of your university’s faculty and research staff. Various departments of your institution, ranging from sociology to economics to medicine can benefit from sophisticated proprietary analysis of property data.
Property reports synthesize “raw” data, categorizing it and making connections that might not seem obvious on the surface. These granular level reports enhance the academic and intellectual pursuits of researchers, aiding them in formulating the right questions — and provides guidance in developing meaningful answers.
The collapse of the housing market and the Great Recession of the early 21st century demonstrated that housing represents a major driver in the U.S. economy, not to mention the entire worldwide economy. University property data can enhance research, development and publishing for faculty in your university’s economics department. For example, analysis of available housing stock or trends in housing prices can provide a gauge of economic health, demonstrating the correlation between economic mobility, housing and related socioeconomic factors. Instructors and researchers can use property data to support their statistical analysis with compelling and visual displays.
Researchers and instructors in your university’s sociology department can leverage homeownership data to enhance the impact of housing on individual households or on society as a whole. For example, university property data reports provide background support for rigorous investigation on the relationship between increases (or decreases) in rental rates, available housing stock and trends in offspring returning to their parental homes. Other areas of investigation include rental versus homeownership rates. Further analysis into the driving factors behind these types of trends can support housing-related policy on topics such as foreclosures for local governments, or shape recommendations for federal policies.
At first glance, property data would seem to have little application for medical departments. However, property data can provide robust support for medical research, especially where wellbeing is concerned. Insights provided through the use of property data often reveal areas where additional focus and research are needed.
For instance, university property data at the ZIP code level can provide insight on whether and how where you live either positively or negatively impacts life expectancy. Findings of significant discrepancies of life expectancy between two or more ZIP codes would naturally lead researchers to determine whether environmental pollutants play a role. Without access to property data, this information may not have revealed itself to researchers.
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The examples listed above illustrate how university property data can be applied to research in departments across your entire university. In both the hard and soft sciences, data analysis provides depth to qualitative and quantitative reports alike. Faculty and students benefit from utilizing property data and document images to address how issues such as trends in housing prices, increases in Millennials remaining with (or returning to) their parents and discrepancies in life expectancy across ZIP codes impact the quality of everyday life and the broader economy. Colleges, universities and libraries enjoy discounted rates with flexible financing options.
The DataTree property database contains more than 6 billion recorded document images such as deeds and property transactions related documents, spanning 100 percent of U.S. residential real estate. Proprietary DataTree analysis synthesizes data from reputable sources such as the Bureau of Labor Statistics, the Bureau of Economic Analysis, and Freddie Mac and offers customized reports featuring clear, user-friendly graphics. More information on DataTree's University Data Hub is available on our website.