How to Read Market Stats Like an Agent
Median price, DOM, list-to-sale ratio, pendings — a working guide to the housing dashboard, what each gauge actually measures, and the classic misreads.
Market statistics are how the housing industry talks, and most consumers are stuck eavesdropping — hearing the words without the grammar. This is the grammar. Below is the standard dashboard a working agent scans every month, gauge by gauge: what each number actually measures, what it’s good for, and the classic way each one gets misread.
None of this requires proprietary data. Every stat here appears in public market reports. The edge isn’t access — it’s interpretation.
Median sale price: the headline that isn’t a price gauge
What it is: the middle sale — half of homes sold for more, half for less, in a given area and month.
What it’s good for: long-run trend lines, and resistance to outliers (one megasale can’t drag it the way it drags an average).
The classic misread: treating a median move as a value move. The median shifts whenever the mix of what’s selling shifts — more big family homes closing in spring pushes the median up with zero change in any home’s value; a condo-heavy month pulls it down the same way. Monthly medians at the neighborhood level are mostly mix and noise.
The agent habit: read medians only year over year, only at county or city scale, and only as one witness among several — never the verdict. (Mix distortion is half the reason monthly headlines mislead; seasonality is the other half, covered in Seattle housing market seasonality.)
Months of inventory: the balance gauge
What it is: active listings divided by monthly sales — how long current supply would last at the current pace.
What it’s good for: the single best one-number answer to “who has leverage right now?” Conventional rules of thumb call under ~3 months a seller’s market and over ~6 a buyer’s market, with Seattle historically living far below the balanced range.
The classic misread: quoting the level without the year-ago comparison, and blending segments (condos and houses can point opposite directions in the same month).
This gauge earns its own full instrument manual — see months of inventory, explained — so here we’ll just note its role: it’s the denominator-aware context every other stat needs.
Days on market: the speed gauge
What it is: how long listings take to go pending, usually reported as a median.
What it’s good for: market temperature in close to real time. DOM responds to a shift in demand within weeks, well before prices move.
The classic misreads: two of them. First, seasonality — DOM drifts up every summer as the market digests spring inventory; that’s the calendar, not a cooldown. Second, relisting games: a stale listing canceled and relaunched can reset its day counter, flattering the stat. Cross-check a suspiciously fresh listing’s history before treating its DOM as truth.
The agent habit: watch the distribution, not just the median. A market where half of homes go pending in a week while the rest sit for months is a market punishing condition and pricing errors — very different from one where everything takes a uniform three weeks, even if the medians match.
List-to-sale ratio: the intensity gauge (handle with care)
What it is: sale price as a percentage of list price; above 100% means homes are selling over asking.
What it’s good for: measuring competitive intensity — if you account for local pricing strategy.
The classic misread: Seattle’s signature one. Because local listing agents often price deliberately under expected value to stage an offer-date auction, a high over-list percentage here measures strategy as much as heat. The full decoder lives in why Seattle homes sell over list price; the short version is to track the ratio’s trend and the share of homes selling over list, and ignore the raw level.
Pending sales: the leading indicator
What it is: homes that went under contract this period — deals struck now, versus closed sales, which record deals struck a month or more ago.
What it’s good for: the freshest demand reading on the dashboard. When a market turns, pendings turn first; closings confirm it four to six weeks later. Agents watch pendings the way sailors watch the barometer.
The classic misread: there isn’t a big one — this stat is underrated rather than misread. The only caution is that pendings can fall through, so an unusual gap between pendings and subsequent closings is itself information (financing trouble, inspection renegotiations) worth noticing.
New listings: the seller-confidence gauge
What it is: fresh supply entering the market, as distinct from the standing inventory pool.
What it’s good for: reading seller psychology and the lock-in effect. Standing inventory can rise because demand died or because sellers flooded in — opposite stories. New-listing counts tell you which. Rising inventory with weak new listings means homes aren’t selling; rising inventory with strong new listings means sellers are confident.
The classic misread: confusing it with total inventory. They’re a flow and a pool, and the flow is the more honest narrator.
Price cuts: the early-warning light
What it is: the share of active listings that have reduced their asking price.
What it’s good for: catching softening early. Sellers cut prices before sale prices fall — a rising price-cut share is one of the most reliable advance signals of a cooling segment, often visible a season before the closed-price data admits anything.
The classic misread: panic at the level rather than the change. Some baseline share of listings always cuts (overpricing is eternal). The signal is the share rising versus its own normal.
Putting the dashboard together
The discipline that separates an analyst’s read from a headline’s:
- Year over year, always. Every gauge above has a seasonal rhythm; same-month comparison removes it.
- Segment before you conclude. Split by property type and price band — the condo vs. single-family divergence makes blended stats genuinely treacherous here.
- Demand the story agree across gauges. A real shift shows up in pendings, then DOM, then inventory, then price cuts, then prices — in roughly that order. One gauge moving alone is noise; a sequence is a trend.
- Three months before you believe it. Any single month, at any geography smaller than the county, is an anecdote.
To see the method applied to live data, read our April 2026 Seattle market update with this dashboard in hand — and our calculators can translate what the stats imply into your own monthly numbers.
The honest take
Market stats aren’t hard; they’re just routinely quoted without their context — the season, the segment, the lag, the strategy baked into the list price. Learn the eight gauges above and you can audit any market claim an agent, a headline, or a neighbor makes in about a minute.
Auditing fee claims should be that easy too. It’s why Manaky Homes exists: a free marketplace where Greater Seattle agents publish their fees side by side, so “what does an agent cost?” gets a real answer instead of a shrug. The waitlist is open.
