Methodology
Taos Real Estate Market Report Methodology
The Taos County market reports published here are built from local MLS data — specifically the Paragon feed used by Taos-area brokers — and are processed weekly. Each report is interpreted manually before publication, so the framing is meant to reflect how this market actually behaves rather than a generic feed of price points.
This is not the same as a Zillow or Redfin aggregate. Those products blend MLS data with public records, web scrapes, and modeled estimates across the country. The reports here pull directly from the local MLS, and the analysis is done with knowledge of the specific neighborhoods, price tiers, and property types that move this county. The goal is to surface signal that a working broker would actually trust.
Data sources
All numbers reported here come from the following sources:
- Local MLS (Paragon) — the primary feed used by Taos-area brokers for listing, contract, and closing data.
- Weekly data pulls — fresh exports each week that capture active, pending, and closed activity through the most recent week-ending date.
- Historical datasets — running archives of active, sold, expired, and withdrawn listings, used to compute rolling four- and twelve-week windows and to back-fill late activity.
No third-party automated valuation models, no scraped public records, and no estimated prices are mixed into these reports.
How reports are built
Each weekly report follows the same pipeline:
- MLS pull. Fresh exports of active, pending, and closed listings for Taos County are taken from the Paragon feed at the end of each reporting week.
- Ingestion. Data is loaded into a structured warehouse with columns and types preserved exactly as exported.
- Normalization. Rows are de-duplicated, status transitions are reconciled, and class labels (residential, land, commercial, etc.) are aligned across formats.
- Rolling windows. Four-week and twelve-week aggregates are computed against the actual closing date, including activity that was reported late.
- Report generation. Headline metrics, narrative, and any neighborhood snapshots are assembled and reviewed before the report is published.
Every step preserves a clear path from the published number back to the underlying MLS row, so interpretation can be checked rather than assumed.
Key metrics
Months of supply
Active listings divided by the average monthly sales pace. A reading of about 5 or 6 months is considered balanced; higher numbers favor buyers, lower numbers favor sellers. Computed from the rolling twelve-week sales count to keep small-week noise from swinging the figure.
4-week sales
Total residential closings over the most recent four-week window. Useful for tracking near-term activity but still small enough that one or two outlier sales can shift the totals.
12-week sales
Total residential closings over the trailing twelve-week window. The more stable read of underlying demand, since it smooths out the weekly mix.
Median vs average price
The median is the middle sale price; the average is the arithmetic mean. In a small county like Taos, a single high-end closing can pull the average sharply upward while leaving the median steady. The median is the more reliable read of the typical sale.
Days on market (DOM)
How long an active listing has been on the market, or how long a sold listing was on the market before it closed. The median and the share of listings at 90+ days both matter — a market can have a fast median and still carry a heavy stale tail.
List-to-sale ratio
Closing price divided by the listing price (computed against original list price unless otherwise noted). A ratio near 1.0 means properties are selling close to ask; lower numbers indicate negotiation or price reductions before closing.
Rolling windows
Most of the headline metrics in these reports use rolling four- and twelve-week windows rather than single-week totals. There are two reasons for that.
First, weekly volume is too small in Taos County for a single week to be a reliable signal on its own. A market this size can easily produce a week with two closings and another with twelve. Reading the weekly figure in isolation will routinely give a misleading impression of where the market is actually pointing.
Second, late-reported sales matter. A meaningful share of closings get logged into the MLS days or even weeks after the actual close date. A weekly snapshot taken on Sunday will miss those, then look artificially low; the following week looks artificially high when the late entries land. The rolling windows in these reports are computed against the actual close date, so a late entry is attributed to the week it happened in, not the week it was reported.
The four-week window is for near-term direction. The twelve-week window is the steady read. When both are pointing the same way for two or three reports in a row, the market has actually shifted — not just the weekly mix.
Neighborhood snapshots
The neighborhood snapshots are zone-level views built on the same pipeline, scoped to a curated set of Taos micro-markets — Town of Taos, El Prado / Blueberry Hill / Colonias, Arroyo Seco / Des Montes / El Salto, Ranchos / Talpa, Weimer, and Country Club.
Because each zone is a smaller subset of the county, sample sizes are lower. A neighborhood with twenty active listings and three sales in a quarter is in a different statistical regime than the countywide market. The snapshots are written to be useful as directional reads — what is actually moving, what is sitting, and how time on market is trending — rather than as tight pricing benchmarks.
Where a sub-area has fewer than three closings in the trailing twelve weeks, sold-side medians and list-to-sale ratios are suppressed in the snapshot rather than reported. Those numbers are not informative on samples that small, and pretending otherwise would be misleading.
Different parts of Taos behave differently. The Town of Taos core does not look like the Arroyo Seco corridor, and Ranchos / Talpa does not look like Weimer. The snapshots are designed to surface those micro-market differences, not paper over them.
Limitations
A few caveats apply to every report on this site:
- Thin datasets should be read cautiously. A single high-end sale can move the weekly median by hundreds of thousands of dollars, and a single closing can flip a small zone’s months-of-supply figure week over week. Rolling windows help, but they do not eliminate the underlying small-sample reality.
- Some property types have insufficient volume in any given week. Land, condo / townhome, and manufactured / mobile segments often produce too few transactions to draw clean reads from in a Taos weekly window. Where the sample is below three closings, sold pricing signals are suppressed.
- These reports are market analysis, not a formal appraisal or a guarantee of pricing. They are useful context for buyers, sellers, and other professionals working in the Taos market — they are not a substitute for a property-specific appraisal, a comparative market analysis, or a brokerage opinion of value.
How to use this
If you are buying
Use the headline months-of-supply and active DOM figures to gauge negotiation room. Use the neighborhood snapshots to understand the specific zone you are looking in — averages for the county can hide very different conditions in individual neighborhoods. When something interesting comes up, the right next step is usually a property-level comparative market analysis on that specific listing rather than a county-level read.
If you are selling
The most actionable numbers are usually the active DOM distribution, the share of stale inventory, and the list-to-sale ratio for your zone. Together those tell you how much room there is to test pricing, how patient the market is right now, and what the realistic ratio of closing price to ask looks like. Pricing strategy and presentation should be calibrated to those conditions, not to a generic countywide number.
Get in touch
Questions about how a specific number was computed, or want a property-level read that the report can’t give you? Send a note or set up a direct MLS feed at taoshomefinder.com.