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<h1>CMRPC Regional Housing Study
<br>Project Dashboard
</h1>
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<div class="eight columns" style="margin-top: 2%;">
<p>This dashboard was created by <a href="http://communityscale.io" target="blank">CommunityScale</a> as a public platform to access and engage with the CMRPC Regional Housing Study. The objective of this dashboard is to outline the study's objectives and priorities, share key observations and findings about the local housing landscape, and highlight recommended strategies to increase housing production and address affordability challenges.</p>
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<h3>The CMRPC Regional Housing Study's purpose</h3>
<h5>The Regional Housing Study is intended to offer a regional perspective to complement local planning and policymaking as communities across the CMRPC region confront and manage housing challenges and opportunities.</h5>
<h6>The study's goals are to support the range of actions and strategies needed to address today's and tomorrow's key housing challenges across the region:</h6>
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<h5>Establish a regional platform for housing planning and policymaking</h5>
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<h5>Provide resources and technical assistance to help communities navigate local housing issues</h5>
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<h5>Convene dialogue and collaboration between leaders, municipalities, and stakeholders</h5>
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<h2 class="inline-text">Overview</h2>
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<h6>Three questions help set the stage for the CMRPC Regional Housing Study and frame core findings from the analysis. What constitutes "attainable" - or "affordable" - housing, why are we facing this housing shortage, and how many units do we need to build to start catching up?</h6>
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<h6>Key findings from the CMRPC Regional Housing and Transportation Study</h6>
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<h4>Pedestrian Potential</h4>
<ul>
<li><strong>Central region</strong> is by far the most walkable, with 93.6% of parcels walkable (92% highly walkable)</li>
<li><strong>Northeast and Southwest</strong> have moderate walkability, with about half of parcels walkable and over a quarter highly walkable</li>
<li><strong>Southeast and North</strong> have similar walkability levels (around 31–33% walkable)</li>
<li><strong>West</strong> is the least walkable at 24.1%</li>
<li><strong>Non-walkable areas</strong> dominate in all regions except Central, reaching over 75% in the West</li>
</ul>
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<tr><th>Region</th><th>% Walkable</th><th>% Non-Walkable</th></tr>
<tr><td>Central</td><td>93.6%</td><td>6.4%</td></tr>
<tr><td>Northeast</td><td>54.6%</td><td>45.4%</td></tr>
<tr><td>Southwest</td><td>44.5%</td><td>55.5%</td></tr>
<tr><td>North</td><td>32.7%</td><td>67.3%</td></tr>
<tr><td>Southeast</td><td>31.2%</td><td>68.8%</td></tr>
<tr><td>West</td><td>24.1%</td><td>75.9%</td></tr>
</table>
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<h4>Transportation Diversity</h4>
<h6>All places with any capacity for walking or transit use</h6>
<ul>
<li><strong>High transportation diversity</strong> is extremely rare, present only in the Central region (1.5% of parcels)</li>
<li><strong>Marginal transportation diversity</strong> is concentrated in the Central region (45% of parcels), with smaller shares in West (2.4%), Northeast (2.5%), and Southwest (3.5%)</li>
<li><strong>Vehicle-locked areas</strong> dominate most regions, with nearly all parcels in Southeast, North, West, Northeast, and Southwest falling into this category</li>
<li>The <strong>Central region</strong> is the only area with a significantly lower share of vehicle-locked parcels (53.5%)</li>
</ul>
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<div class="four columns" style="margin-top: 2%">
<table class="uniform-columns">
<tr><th>Region</th><th>Vehicle Locked</th><th>Marginal Diversity</th></tr>
<tr><td>North</td><td>98.6%</td><td>1.4%</td></tr>
<tr><td>Southeast</td><td>95.5%</td><td>4.5%</td></tr>
<tr><td>Northeast</td><td>95.5%</td><td>4.5%</td></tr>
<tr><td>West</td><td>94.3%</td><td>5.7%</td></tr>
<tr><td>Southwest</td><td>91.1%</td><td>8.9%</td></tr>
<tr><td>Central</td><td>51.8%</td><td>46.7%</td></tr>
</table>
</div>
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<div class="row insight-box">
<div class="twelve columns" style="margin-top: 2%">
<h4>Vulnerable Population Distributions</h4>
<p><strong>Key patterns across the CMRPC region:</strong></p>
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<div class="row insight-box">
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<h5>Central Region Concentrations</h5>
<ul>
<li>Workers: 33%</li>
<li>No High School Diploma/GED: 54%</li>
<li>Below 200% Poverty: 55%</li>
<li>No Car Households: 61%</li>
<li>Jobs: 42%</li>
</ul>
</div>
<div class="four columns" style="margin-top: 2%">
<h5>Suburban Distribution</h5>
<ul>
<li>Southeast: 19-20% across most categories</li>
<li>Southwest: 16-18% across most categories</li>
<li>Northeast: 14-15% across most categories</li>
<li>North: 8-10% across most categories</li>
<li>West: 7-11% across most categories</li>
</ul>
</div>
<div class="four columns" style="margin-top: 2%">
<h5>Transportation Access</h5>
<ul>
<li><strong>High Transportation Diversity:</strong> 100% in Central</li>
<li><strong>Some Transportation Diversity:</strong> 70% in Central</li>
<li><strong>Vehicle Locked:</strong> Concentrated in outer regions (12-30%)</li>
</ul>
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<div class="container">
<div class="row insight-box">
<div class="eight columns" style="margin-top: 2%">
<h4>Roadway Networks, Vehicle Access, and Commuting Patterns</h4>
<h6>Source: ACS 5 year 19-23</h6>
<ul>
<li><strong>Driving alone dominates</strong> commuting in all regions (65-79%)</li>
<li><strong>Carpooling</strong> is most common in the Central region (11.6%), nearly double that of most other regions</li>
<li><strong>Public transit usage</strong> is low overall, peaking in Central (2.7%) and Northeast (1.7%)</li>
<li><strong>Walking</strong> is significantly higher in Central (5.5%) compared to other regions (near or below 2%)</li>
<li><strong>Work-from-home rates</strong> vary greatly, highest in Northeast (23.6%) and lowest in Southwest (10.1%)</li>
<li><strong>Jobs-housing mismatch:</strong> Regional total shows 47,746 more jobs than workers</li>
</ul>
</div>
<div class="four columns" style="margin-top: 2%">
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<tr><th>Region</th><th>Drive Alone</th><th>Walk</th><th>WFH</th></tr>
<tr><td>Southwest</td><td>77.8%</td><td>0.9%</td><td>10.1%</td></tr>
<tr><td>West</td><td>79.4%</td><td>1.4%</td><td>11.6%</td></tr>
<tr><td>North</td><td>74.6%</td><td>1.3%</td><td>16.3%</td></tr>
<tr><td>Southeast</td><td>74.2%</td><td>0.9%</td><td>17.5%</td></tr>
<tr><td>Northeast</td><td>67.1%</td><td>1.2%</td><td>23.6%</td></tr>
<tr><td>Central</td><td>65.8%</td><td>5.5%</td><td>10.7%</td></tr>
</table>
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<div class="container">
<div class="row insight-box">
<div class="eight columns" style="margin-top: 2%">
<h4>Housing Cost Estimate</h4>
<h6>Source: CommunityScale</h6>
<p><strong>Methodology:</strong> The housing cost estimate captures the typical shelter cost (housing + utilities) for a household moving to a block group, based on recently available homes for rent/sale and current mortgage rates.</p>
<p><strong>Estimate includes:</strong> Rental costs (median prices 2020-2025, inflation-adjusted + utilities), ownership costs (monthly mortgage at 6.63% rate, 20% down + property tax + insurance + utilities), and typical monthly utilities cost of $339.</p>
<p><strong>Note:</strong> Estimates are higher than Census data due to current high mortgage rates and rental market conditions.</p>
</div>
<div class="four columns" style="margin-top: 2%">
<table class="uniform-columns">
<tr><th>Region</th><th>Housing Cost</th><th>Households</th></tr>
<tr><td>Northeast</td><td>$4,414</td><td>37,435</td></tr>
<tr><td>North</td><td>$3,777</td><td>20,603</td></tr>
<tr><td>Southeast</td><td>$3,800</td><td>36,445</td></tr>
<tr><td>Southwest</td><td>$2,988</td><td>39,723</td></tr>
<tr><td>West</td><td>$2,851</td><td>18,869</td></tr>
<tr><td>Central</td><td>$2,808</td><td>79,089</td></tr>
</table>
</div>
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<div class="container">
<div class="row insight-box">
<div class="eight columns" style="margin-top: 2%">
<h4>Transportation Cost Analysis</h4>
<p><strong>Vehicle Miles Traveled (VMT) Estimates:</strong> Average 17,259 miles per household, ranging from 9,753 to 24,214 miles. Cost per mile: $0.82 (Bureau of Transportation Statistics).</p>
<p><strong>Transit Diversity Impact:</strong> Clear relationship between car ownership and transit diversity - for every 5 households with access to diverse transportation options, 1 household will not own a car. This is reflected in reduced VMT estimates for locations with good bus service.</p>
</div>
<div class="four columns" style="margin-top: 2%">
<table class="uniform-columns">
<tr><th>Region</th><th>VMT Cost</th><th>Workers</th></tr>
<tr><td>North</td><td>$17,158</td><td>25,927</td></tr>
<tr><td>West</td><td>$17,045</td><td>23,160</td></tr>
<tr><td>Southeast</td><td>$16,352</td><td>62,186</td></tr>
<tr><td>Southwest</td><td>$15,836</td><td>49,062</td></tr>
<tr><td>Northeast</td><td>$15,039</td><td>43,481</td></tr>
<tr><td>Central</td><td>$10,892</td><td>100,375</td></tr>
</table>
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<div class="container">
<div class="row insight-box">
<div class="six columns" style="margin-top: 2%">
<h4>Combined Housing and Transportation Cost Burden Analysis</h4>
<p><strong>Cost Burden Definition:</strong> H+T cost (housing + transportation in 2025 $) divided by household income. Cost burden > 45%; Severe cost burden > 60%.</p>
<p><strong>Key Patterns:</strong> Transportation share decreases as total costs increase. 20th percentile: $3,400 total (25.9% transportation). 80th percentile: $5,241 total (26.8% transportation). Maximum: $9,408 total (17.4% transportation).</p>
</div>
<div class="six columns" style="margin-top: 2%">
<p class="medium"><span class="fa fa-home"></span> High Housing, Low Transport</p><p>Central areas with transit access</p>
<p class="medium"><span class="fa fa-car"></span> High Housing, High Transport</p><p>Expensive suburban areas</p>
<p class="medium"><span class="fa fa-check"></span> Low Housing, Low Transport</p><p>Affordable walkable areas</p>
<p class="medium"><span class="fa fa-road"></span> Low Housing, High Transport</p><p>Rural/distant suburbs</p>
<p><strong>Next Steps:</strong> Identify areas where combined cost burden is highest and where housing and transportation cost trends diverge.</p>
</div>
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