What is Distress Score?
A distress score is the numerical rating Ugly House Finder assigns to every property it analyzes, ranging from 1 (well-maintained) to 5 (severely distressed). This score is calculated by combining two independent assessments: a visual analysis score from AI examination of Google Street View imagery, and a context score derived from Census Bureau data at the tract level.
The visual analysis component evaluates observable indicators of property neglect including roof damage, peeling or missing paint, overgrown or dead vegetation, broken or boarded windows, structural sagging or leaning, debris accumulation, and general deterioration. The AI model has been trained to distinguish between cosmetic issues and structural concerns, producing both a numeric score and a written description of observed conditions.
The context score incorporates three weighted categories of Census data: economic stress factors (40% weight) including unemployment rate, vehicle access, and housing cost burden; housing condition factors (40% weight) including vacancy rate, plumbing and kitchen facility status, and housing age; and demographic vulnerability factors (20% weight) including renter occupancy rates and educational attainment. The final distress score averages the visual and context components.
Investors typically filter for properties with distress scores of 3 or higher, with scores of 4-5 representing the most severely distressed properties and potentially the strongest deal opportunities. However, lower-scored properties in high-context-score neighborhoods can also represent good investments, as the neighborhood conditions may indicate future distress trajectories.
Example
The AI assigned a distress score of 4.2 to the property at 1234 Oak Street, noting a damaged roof, overgrown yard, and peeling exterior paint in a neighborhood with a 22% vacancy rate.
Related Terms
Distressed Property
A property in poor physical condition or under financial pressure, often sold below market value.
AI Property Analysis
Automated evaluation of property condition using artificial intelligence to analyze street-level imagery.
Census Data (in Real Estate Investing)
Demographic and economic statistics from the US Census Bureau used to evaluate neighborhood conditions and investment potential.
Vacancy Rate
The percentage of residential units in an area that are unoccupied, indicating potential neighborhood distress or opportunity.