How the HousRank Score Works

One number, seven inputs

Eligible scored homes have seven category scores and a published composite score on a 0 to 100 scale. Incomplete, stale or insufficient-cohort listings can remain searchable without a score. Category scores are based on each listing's position against peers in its scoring cohort, then mapped to a score range. The composite is also ranked against that cohort and mapped to a score range. The score itself is not a percentile.

The scoring cohort is the county when it has at least six listings, otherwise the state when it has at least six, otherwise national. The category weights are fixed as follows:

• Value: 28%, based on inverse price per square foot within the cohort.
• Location: 8%, based on the ZIP code's median estimated valuation, a price-level proxy rather than a measure of safety or convenience.
• Investment: 18%, a blend of value, lot size, days on market, and bedroom-to-bathroom layout. It is not a returns forecast.
• Affordability: 14%, based on modeled monthly ownership cost.
• Tax: 5%, based on the property-tax-to-value ratio when tax data is supplied.
• Risk: 12%, based on home age.
• Demand: 15%, based on days on market.

Counts, averages and comparison populations

Current listings are active RentCast records with an asking-price field and both a provider observation and fetch within the last eight days. Scored listings additionally have a supported canonical identity, beds, baths, positive living area and an available score greater than zero and no more than 100. Ranked listings also have a valid stored city rank and denominator. These counts describe HousRank coverage, not every home in a market.

Score and category averages use eligible current scored listings only, rounded to one decimal. Unavailable scores are excluded, not counted as zero. When there are no scored listings, the average is unavailable. Curated city comparisons require at least eight scored listings per city; this is separate from the six-home minimum used to select a scoring cohort.

City, state and neighborhood median asking prices use positive asking prices among current listings. City comparison median estimated values use positive stored estimated values among current listings; their valuation basis may differ and is not an appraisal. Category averages can match across cities because scores are normalized within separate market cohorts. Equal averages do not establish equal housing quality.

The original scoring cohort, its eligible sample and its snapshot are not retained on legacy property records. HousRank must report that provenance as unavailable, rather than infer it from city ranks or nearby listings.

How the categories combine

The weighted category scores are combined, then the composite is ranked within the same market cohort and mapped to the published score range. The category and published scores are therefore cohort-relative. Neither number is itself a percentile.

The signals are specific proxies, not broad judgments about a home. For example, the location score uses ZIP-level median estimated valuation, and risk uses age. Two homes with similar prices can still differ because their measured signals and cohort standing differ.

What the score is and is not

The HousRank score is an informational estimate built to help you shortlist and compare homes faster. It is not an appraisal, a lending decision, or a guarantee of future value. Scores should never be used for lending, insurance, tenant screening, employment, or eligibility decisions.

Treat the score as a starting point for your own research, not the final word. Small score differences should not be treated as meaningful precision.

Frequently asked questions