Location Affordability Index v 1.0

<p><font size='3'>The Location Affordability Index (LAI) estimates the percentage of a family’s income dedicated to the combined cost of housing and transportation in a given location. Because what is “affordable” is different for everyone, users can choose among a diverse set of family profiles—which vary by household income, size, and number of commuters—and see the affordability landscape for each in a given neighborhood, city, or region.</font></p>
<p><font size='3'>The Location Affordability Index (LAI) estimates three dependent variables of<br />
transportation behavior (auto ownership, auto use, and transit use) as functions of 14 independent<br />
variables (median income, per capita income, average household size, average commuters per household,<br />
residential density, gross density, block density, intersection density, transit connectivity, transit<br />
frequency of service, transit access shed, employment access, job diversity, and average commute<br />
distance).</font></p>
<p><font size='3'>To hone in on the built environment’s influence on transportation costs, the independent<br />
household variables (income, household size, and commuters per household) are set at fixed values to<br />
control for any variation they might cause.</font></p>
<p><font size='3'>The LAI also estimates two dependent variables of housing costs (Selected Monthly<br />
Owner Costs and Gross Rent) as functions of 16 independent variables: regional median selected monthly<br />
owner costs and regional median gross rent in addition to the 14 variables used in the transportation<br />
model.</font></p>

<p><font size='3'><br />
To learn more about the Location Affordability Index (v.1.0) visit: <a href='https://www.locationaffordability.info/LAPMethods.pdf' target='_blank' rel='nofollow ugc noopener noreferrer'><strong>https://www.locationaffordability.info/LAPMethods.pdf</strong></a></font><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>, for questions about the spatial attribution of this dataset, please reach out to us at </span><a href='mailto:[e-mail]' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;' target='_blank' rel='nofollow ugc noopener noreferrer'><b>[e-mail]</b></a><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>. </span></p><p><font size='3'>
Data Dictionary: </font><a href='https://hud.maps.arcgis.com/sharing/rest/content/items/4fbf556f68df4e248a53d7b7d2e426c4/data' style='font-size:medium;' target='_blank' rel='nofollow ugc noopener noreferrer'><b>DD_Location Affordability Indev v.1.0.</b></a><br /><font size='3'>
Date of Coverage: </font><b>2005-2009</b><span style='font-size:medium;'> </span><font size='3'><br /></font></p>
<p><font size='3'>https://www.locationaffordability.info/LAPMethodsV2.pdf</font></p>