Why Most Buyers Misread Local Market Reports
A couple shopping for their first home in Austin pulls up the local market report for their target ZIP code. They see "median sold price up 5.2% year-over-year" and conclude it's a hot seller's market. They write aggressive offers at full list price, waive inspections, and lose two bidding wars. Then they lose a third — to a seller who accepted an offer $14,000 under asking.
What happened? The median price figure they were reading reflected sales that closed 45 to 60 days earlier. The market had already shifted. Days on market had climbed from 11 to 26 over the prior three months. Months of supply had risen from 1.4 to 4.1. Expired listings were up. Pending sales were falling. Every forward-looking metric was broadcasting a different story — but they were reading the wrong metrics.
A local market report contains far more signal than most buyers ever extract. The median sold price is the number everyone quotes. It is also among the least useful numbers for predicting where prices are heading. What follows are the seven metrics that actually tell you where a market is going — and how to read them as a system rather than in isolation.
Metric 1: Months of Supply — The Master Metric in Any Local Market Report
Months of supply is the single most predictive number in any local market report. The calculation is straightforward: divide the current number of active listings by the average monthly sales rate over the prior 3–6 months. The result tells you how long it would take to sell all existing inventory at the current pace of demand, assuming no new listings enter the market.
The benchmarks real estate economists use break down like this:
The Phoenix metro illustrated this dynamic sharply. In early 2022, months of supply sat at 0.5 — a historically extreme seller's market — and prices rose 32% year-over-year. By Q4 2023, supply had climbed to 4.1 months. Median prices had pulled back 9% from their peak. The months-of-supply figure called the turn months before headline price data reflected it.
Track this metric as a trend, not a point-in-time reading. A market at 3.2 months moving toward 4.8 is fundamentally different from one at 4.8 months declining toward 3.2 — even though both numbers print the same figure at some midpoint along the way.
Metric 2: Days on Market — The Earliest Warning Signal
Days on market (DOM) is the first indicator to move when market conditions shift. Price changes show up weeks or months after demand softens — sellers resist cuts, listings linger, and only eventually do accumulated price reductions appear in the closed-sale data. DOM changes immediately and visibly.
When homes that were selling in 8 days in January average 21 days by March, that is real-time market intelligence. Context benchmarks:
Always distinguish between DOM — counted from the most recent list date — and cumulative days on market (CDOM), which includes time from the original list date across re-listings. A home that sat 55 days, was pulled, and came back counts as 1 day of DOM in some MLS systems. CDOM reveals how long sellers are actually waiting.
Compare DOM across price tiers within the same market. In many metros during 2024, entry-level homes under $350,000 were still moving in 14–18 days while properties priced above $750,000 sat 55–70 days. That divergence is an investment signal: buyer purchasing power is concentrated in a specific band, and pricing strategy must reflect it.
Metrics 3 and 4: List-to-Sale Price Ratio and Price Per Square Foot
These two metrics work as a pair, each correcting for a blind spot in the other.
List-to-Sale Price Ratio measures what buyers are actually paying relative to what sellers are asking, expressed as a percentage. Above 100% means homes are selling over list price — bidding wars are live. Below 100% means sellers are accepting less than asking.
Track this as a 3-month rolling average. A single slow month can distort the figure. A sustained slide from 101.3% to 97.6% over a quarter is a genuine directional signal worth acting on.
Price per square foot corrects for composition shifts in what's selling. If a market moves toward larger homes transacting — because first-time buyers drop out and move-up buyers dominate — median price can rise even as the market softens. Price per square foot strips out that size effect. Calculate it by neighborhood and price tier, not just citywide. A market where citywide price-per-square-foot holds steady while the entry-level segment (under 1,400 sq ft) shows declining price-per-square-foot is telling you precisely where purchasing power is eroding first.
Metric 5: Pending Sales — The Forward-Looking Gauge
Closed sales data reflects deals negotiated 30–60 days ago. Pending sales reflect contracts signed right now. A home goes pending when a buyer and seller execute a contract; it appears in closed sales when the transaction funds. That 30-to-60-day gap makes pending sales the most forward-looking standard metric in any local market report.
The National Association of Realtors tracks pending home sales monthly at the national level, but your local MLS or Realtor association publishes this data at the ZIP code or city level — often updated weekly. A sustained three-month decline in pending sales for your target market — say, from 94 contracts to 77 to 61 — is a reliable forecast of weakening closed sales and price pressure over the next 6–10 weeks.
Cross-reference pending sales against new listings. If pendings are rising but new listings are rising faster, supply is outpacing demand — prices will face downward pressure despite high contract volume. If pendings rise while new listings hold flat, the market is tightening and prices will follow. The ratio between those two numbers is often more instructive than either figure alone.
Metric 6: New Listings vs. Expired Listings
These two metrics, read together, reveal the state of seller confidence and pricing accuracy across a market.
New listing volume tracks seller willingness to enter the market. A spike in new listings without corresponding demand growth is a reliable leading indicator of rising inventory and eventual price pressure. In several Sun Belt metros during the first half of 2024, new listing volume climbed 18–22% year-over-year as pandemic-era buyers who had overextended tested the resale market — frequently at prices buyers wouldn't support.
Expired listings are the most underread metric in a standard local market report. An expired listing is one that sat for its full listing period without going under contract. It is the market's direct rejection of a seller's price. When expired listings represent under 8–10% of total listings, pricing discipline is healthy. When expireds climb above 15%, sellers are collectively mispricing — and that gap closes downward.
In several Midwest suburban markets monitored through Federal Reserve housing inventory data, expired listing rates climbed from 9% to 21% over a six-month window in late 2023. Median price reductions of 5–8% followed within two quarters. The expired rate called the correction before any headline number moved.
Watch the ratio of expireds to new listings over rolling 90-day windows. When both are rising simultaneously, you are watching inventory build and demand weaken in real time — two forces that compress prices on a predictable lag.
Metric 7: Absorption Rate by Price Tier
Absorption rate measures the percentage of available inventory that sells within a given period — typically one month. The formula: (homes sold ÷ available inventory) × 100. A 20% monthly absorption rate means one-fifth of homes sell each month, translating to roughly 5 months of supply. A 40% rate clears the market in 2.5 months.
The citywide absorption rate is almost always misleading. Here is what a realistic tier breakdown looks like in a mid-size metro — a pattern common in markets from Raleigh to Salt Lake City to Boise:
A buyer targeting the under-$300K tier in this market is competing fiercely for every available listing. An investor targeting the $850K–$1.2M tier has time, options, and genuine negotiating room. A citywide absorption rate of 38% would mask that entire story and lead both parties to misread their position.
Run this calculation from your local MLS data or request it from your Realtor association. Most associations publish absorption data monthly; if they don't break it by price tier, request it. It takes minutes to calculate and changes how you think about the market entirely.
Reading All 7 Metrics as a System
No single metric tells the complete story. A market with declining days on market but rising months of supply might be driven by seasonal transaction volume, not genuine demand strength. A falling list-to-sale ratio alongside collapsing expired listings tells a different story than the same falling ratio with expireds climbing. The power of these seven metrics comes from reading them together and looking for confirmation across multiple signals.
Build a simple tracking spreadsheet with these seven data points for your target market, updated monthly:
When four or more of these metrics are pointing in the same direction, that direction is where the market is heading — regardless of what the median sold price says this month. A market where months of supply is climbing, DOM is rising quarter-over-quarter, the list-to-sale ratio has slipped below 97%, pending sales have declined three months in a row, and expired rates have crossed 15%: that market is softening. The current median price may still show a year-over-year gain because the closed-sale data is 45 days old. The seven metrics have already read the future.
Track this dashboard every month for your target market. After 90 days of consistent data collection, you will have a more accurate read on where prices are heading than most buyers who have been watching the same market for years — because you will be reading the signals that lead price changes, not the numbers that confirm them after the fact. Pull your local MLS market report, open a spreadsheet, and start logging today.