How the List or Wait Score Works
The List or Wait Score is a data-driven market signal that helps homeowners understand whether current real estate conditions in their local area favor listing now or waiting. It is not a price prediction, a financial recommendation, or a guarantee of any outcome. It is a benchmark: a way to see where your market stands compared to housing markets across the U.S. right now.
The score is built from five independent components, each drawing on real market data updated on a regular schedule. Every component scores from 0 to 10. A higher component score means conditions in that area are more favorable for sellers relative to the current national distribution. The five components are then combined into a single composite signal that maps to one of five labeled bands.
The Five Signal Levels
The composite score maps to one of five signal bands based on exact boundaries. The percentages below reflect the approximate share of U.S. housing markets that fall into each band at any given time. The distribution is intentionally centered on Neutral -- most markets are balanced most of the time.
Conditions clearly favor buyers. Inventory is elevated, buyer demand is weak, and pricing power sits with buyers. Sellers in this band often face longer time on market and more negotiation.
The market leans toward buyers but is not deeply imbalanced. Homes are selling, but buyers have more options and more negotiating room than in a neutral market.
The most common band nationally. Supply and demand are roughly balanced. Homes sell in a reasonable timeframe, and neither buyer nor seller holds a clear advantage.
Conditions tilt toward sellers. More buyers are competing for fewer homes, days on market are below average, and pricing power favors sellers more than in a neutral market.
Conditions strongly favor sellers. Low inventory, high buyer demand, homes selling quickly and often above list price. The least common band -- fewer than one in ten markets reach this level.
How the Score Is Calculated: The Five Components
The score is built from five independently calculated components. Each component has a different weight in the final signal. The exact percentage weights are proprietary and not published, but the relative importance is described below. Every component is calculated separately, so a single data source failure only affects the components that depend on it -- it does not corrupt the entire score.
For each component, the sub-metrics described below are measured, normalized against the current national distribution of U.S. markets, and combined. This percentile-based normalization means the score reflects your market relative to today's conditions, not against some fixed historical baseline.
Demand
Carries the highest weight- How many homes are going under contract relative to the number actively listed
- Whether buyers are competing aggressively for available homes or taking their time
- The trend in national mortgage application volume, which is a leading indicator of buyer intent
Inventory
Second highest weight- How many months it would take to sell all homes currently listed at the current pace of sales
- Whether the number of active listings has grown or shrunk compared to one year ago
- How quickly new listings are entering the market relative to total supply
Pricing
Third highest weight- Whether the typical home is closing above, at, or below its original list price
- What percentage of active listings have had their asking price reduced
- How much home values have changed compared to one year ago
- How often homes receive offers above the asking price
Liquidity
Fourth highest weight- The median number of days homes sit on the market before going under contract
- How quickly the typical seller is receiving an accepted offer after listing
- The rate at which listings expire or are withdrawn without selling
Rates
Carries a fixed weight- The current 30-year fixed mortgage rate and its effect on buyer affordability
- Whether rates have moved up or down over the past 30 days
- How stable or volatile rates have been over the past two months
- Whether the recent direction of rates is increasing or reducing a typical buyer's monthly payment
Data Sources
All market data is fetched on a schedule and stored in a cache before any user requests are processed. No live API calls are made when you generate a report. The table below lists each data source and how frequently it is updated.
| Source | Data | Update Frequency |
|---|---|---|
| Federal Reserve Economic Data (FRED) | Mortgage rates | Weekly |
| Federal Reserve Economic Data (FRED) | Months of housing supply | Monthly |
| Federal Reserve Economic Data (FRED) | National home price index | Quarterly |
| RentCast | Market statistics by zip code (active listings, days on market, new listings) | Monthly |
| RentCast | Property value estimates (AVM) | Refreshed every 14 days per address |
| Anthropic Claude AI | Market explanation narrative | Generated fresh per session, not stored |
What the Score Does Not Account For
The List or Wait Score reflects market-level conditions. It cannot and does not account for factors that are personal to your situation:
- Your personal financial situation, including mortgage payoff, capital gains tax exposure, and transaction costs
- Your timeline -- life events, job changes, family circumstances, and personal goals matter more than any market signal
- Your property's specific condition, upgrades, and how it compares to competing listings in your neighborhood
- Your risk tolerance and how you would respond to a longer time on market or a lower-than-expected offer
A market score tells you whether conditions are favorable for sellers in general. It does not tell you whether conditions are right for you specifically. That decision requires a conversation with a licensed real estate professional who knows your full picture.
Local Factors Not Captured
Even within a zip code, the score reflects aggregate data. There are local dynamics that public datasets do not fully capture, and that a skilled local agent will often know before they show up in the numbers:
- Job growth or employer relocations that are drawing buyers into a neighborhood before they register in listing data
- Migration trends: whether the area is gaining or losing residents at a pace that is shifting longer-term demand
- Recent changes in homeowner insurance availability or property tax assessments that affect buyer affordability in the area
- Showing activity and buyer interest that a listing agent is seeing in real time, before it appears in closed sale data
- Planned infrastructure or development projects that could affect desirability in the near term
These factors are worth discussing with a local real estate agent who works in your specific market. The score is a starting point for that conversation, not a substitute for it.
The AI Explanation Feature
Every report includes an AI-generated narrative that explains the five component signals in plain English. This explanation is produced by an AI language model at the time you load your report. It is not pre-written, not stored anywhere after your session ends, and is not indexed by search engines. Two people who generate a report for the same zip code on the same day may receive explanations with different phrasing and emphasis.
The explanation is designed to help you understand what the data means in context. It will always note that local factors not captured in the score may be significant, and it will always recommend speaking with a licensed real estate agent before making a decision. It is not financial advice. It does not predict future market conditions.
If the AI explanation service is temporarily unavailable, the report will still display your complete score and all five component signals. The AI narrative is supplementary context, not a required part of the report.
Frequently Asked Questions
What does the score actually mean?
The List or Wait Score is a relative market signal that compares your local zip code's current conditions to housing markets across the United States right now. A score in the "Strong list" band means your market is among the most favorable for sellers in the country at this moment. A score in the "Strong wait" band means buyers have the upper hand relative to most markets. It is not an absolute buy or sell recommendation -- it is a benchmark that helps you understand where your market stands.
Why doesn't my score match what I'm hearing locally?
Real estate is hyperlocal, and the score reflects zip-code-level data compared to national benchmarks. Your specific street, school district, home condition, and recent neighborhood showing activity can all differ significantly from the zip-code average. A local real estate agent tracks micro-market dynamics that no public dataset can fully capture, which is why the score is designed to start a conversation with an agent, not replace one.
How often is the data updated?
Market activity data is updated monthly. Mortgage rate data is updated weekly. Home price appreciation data is updated quarterly. When you view a report, the "Based on data as of" label on the Market Pulse section tells you exactly when the underlying data was last refreshed. If data is older than expected, the report will display an amber staleness warning.
Does this replace talking to a real estate agent?
No, and it is not designed to. The List or Wait Score is an informational tool to help you understand broad market conditions and ask better questions. A licensed real estate agent knows your property, your neighborhood, current showing activity, and the specific buyers in your area in ways that aggregate data cannot replicate. We always recommend working with a local agent before making any listing decision.
What is the AI explanation?
After your score loads, an AI-generated summary explains what the current market conditions mean in plain English. This explanation is generated fresh each time you view a report -- it is not stored anywhere, is not indexed by search engines, and is not the same for every visitor. It is designed to add context and plain-language interpretation to the five component signals. It is not financial advice, and it always ends with a recommendation to consult a licensed real estate agent.
Why don't you show the exact score number?
The score is an internal signal used to determine which of five market bands applies to your zip code. Publishing the raw number would imply a false precision that the underlying data does not support -- a 6.7 and a 6.8 are not meaningfully different given the variability in monthly market data. The signal label communicates the meaningful takeaway without encouraging you to over-optimize for a single number.