Data Collections These fields are in addition to Dublin Core fields to describe MDL's data collections, including microdata, statistical data, and GIS data. Collection Which type of resource this is Statistics Links <strong><br />Video tutorial:</strong> <br /> <ul> <li><a href="https://www.youtube.com/watch?v=sVceQ1omjX4">How to Use GeoLytics NCDB Online</a></li> </ul> <strong><br />Access:</strong> <br /> <ul> <li><a href="https://demographics.geolytics.com/ncdb2010/login.aspx">Neighborhood Change Database 2010</a></li> <li><a href="http://demographics.geolytics.com/ncdb2020/login.aspx">Neighborhood Change Database 2020</a></li> </ul> Notes <ul> <li>Documentation: <a href="https://geolytics.com/neighborhood-change-database-2010">NCDB 2010 Detailed Description</a></li> <li>Documentation: <a href="https://geolytics.com/neighborhood-change-database-2020">NCDB 2020 Detailed Description</a></li> <li>Related dataset: <a href="https://mdl-data.library.utoronto.ca/items/show/1809">Geolytics Time Series Research Package 2020</a></li> </ul> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Geolytics Neighborhood Change Database (NCDB) 2010 and 2020 Description An account of the resource The Neighborhood Change Database (NCDB) provides access to US Census data from 1970, 1980, 1990, 2000, 2010 and 2020 at the census tract level. <span>The NCDB contains 1970, 1980, 1990, and 2000 Long Form data, the 2010 Summary File 1 (SF1) and 2010 American Community Survey (ACS) as well as the 2020 Demographic and Housing Characteristics data set and the 2020 ACS, with variables such as: population, household, and housing characteristics, income, poverty status, education level, employment, housing costs, immigration, and other variables</span>. Data can be accessed in their census year tract boundaries, or normalized to 2010 boundaries or to 2020 boundaries. <br /><br />After clicking the link below, select "Log in" to enter the platform. You must access this resource from a U of T IP address (connect to UTORvpn if you are off campus).