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Community Challenge Grantees
(from Open Data - Initiatives and Demonstrations)
on January 9, 2018.
updated 3 months ago.
<p>This service provides location, and relevant data for Community Challenge Planning Grant recipients. The Department of Housing and Urban Development’s Community Challenge Planning Grant Program fosters reform and reduces barriers to achieving affordable, economically vital, and sustainable communities. Such efforts may include amending or replacing local master plans, zoning codes, and building codes, either on a jurisdiction-wide basis or in a specific neighborhood, district, corridor, or sector to promote mixed-use development, affordable housing, the reuse of older buildings and structures for new purposes, and similar activities with the goal of promoting sustainability at the local or neighborhood level.</p> <p>The Sustainable Communities Planning Grant Program is being initiated in close coordination with the U.S. Department of Transportation (DOT) and the U.S. Environmental Protection Agency (EPA), co-leaders with HUD in the Partnership for Sustainable Communities.</p> <p><br /> To learn more about the HUD FHA Revitalization Areas Program visit: <a href="https://www.hud.gov/program_offices/economic_development/HUD-DOT_Community_Challenge_Grants/" target="_blank"><b><strong>https://www.hud.gov/program_offices/economic_development/HUD-DOT_Community_Challenge_Grants/</strong></b></a><br /> Data Dictionary: <a href="https://hud.maps.arcgis.com/sharing/rest/content/items/3603cc67860340ad947e95c731d1207d/data" target="_blank"><b>DD_Community Challenge Grantees</b></a> <br /> Date of Coverage: <b>Current</b> <br /> Data Updated: <b>As Needed</b></p>
Location Affordability Index v 2.0
(from Open Data - Location Affordability)
on August 8, 2017.
updated 6 months ago.
<p>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.</p> <p>LAIM Version 2 employs an SEM regression analysis for auto ownership, transit use and housing costs and a second-order flexible form of ordinary least squares (OLS) model for VMT. It allows for all of the input variables to be used in the calculation of the coefficients. This somewhat complex modeling technique is employed to better model interactions between the endogenous variables. The goodness of fit is now measured by a combination of measures rather than by a simple R-squared value (see Section V. Model Structure and Formula, Aii. on goodness of fit measures on page 22 for further discussion). Additionally, to keep the model as simple as possible, input measures of transit access are no longer used. However since two endogenous variables are themselves measure of transit use (i.e., percent of commuters using transit for journey to work for home-owners and renters), the model works well. These revisions allow LAIM Version 2 to model housing and transportation costs by tenure for households in urban, suburban, and rural settings.</p> <p><br /> To learn more about the Location Affordability Index (v.2.0) visit: <a href="http://www.locationaffordability.info/LAPMethodsV2.pdf" target="_blank"><strong>http://www.locationaffordability.info/LAPMethodsV2.pdf</strong></a>.<br /> Data Dictionary: <a href="https://hud.maps.arcgis.com/sharing/rest/content/items/4076e871542b4edd89c2708e6c3792f5/data" target="_blank"><b>DD_Location Affordability Indev v.2.0</b></a><br /> Date of Coverage: <b>2008-2012</b> <br /> Data Updated: <b>Annually</b></p>