A state-by-state dataset built to answer one question sellers actually care about: How hard is it to sell with certainty right now—and what signals tell you the market is about to retrade? We publish the dataset and the scoring logic so you can audit it.
Crawlable HTML table + published methodology + downloadable dataset. Search, filter, and sort columns to explore. Click any row to open the state detail panel.
| State ↕ | Friction Score ↕ | Certainty Grade ↕ | Median Price ↕ | YoY % ↕ | Days on Market ↕ | Price Cuts % ↕ | Concessions % ↕ | Months Supply ↕ | Prop Tax % ↕ | Home Ins. $ ↕ |
|---|
A high score often means more negotiation, longer timelines, and higher retrade probability. A low score often means faster absorption and fewer deal-term surprises.
The biggest seller losses often come from the uncertainty discount: appraisal gaps, inspection renegotiations, insurance delays, buyer financing failures, and last-minute credits. Optimize for close probability × net proceeds × timeline—not the headline list price.
We compute the Seller Friction Index™ as a weighted composite of normalized metrics. Each metric is normalized from the current dataset distribution (auto-computed), then combined using these weights:
Grades map from score bands: A (0–20) → F (81–100).
| Field | Meaning | Why sellers should care |
|---|---|---|
| Friction Score (0–100) | Composite measure of sell-side difficulty (liquidity + deal terms + cost pressure). | Higher score generally means more renegotiation risk and longer timelines. |
| Certainty Grade (A–F) | Human-readable category derived from score bands. | Quick way to understand “close certainty climate.” |
| Days on Market (DOM) | How long listings take to go pending/sell (varies by source definition). | DOM rising often precedes cuts + concessions. |
| Price Cuts % | Share of listings with reductions in list price. | Stress signal; often correlates with seller capitulation. |
| Concessions % | Share of deals with seller credits, repairs, or incentives. | “Hidden price cuts” that affect net proceeds. |
| Months’ Supply | Inventory relative to demand at current absorption pace. | Supply growth can shift leverage quickly. |
| Prop Tax % | Effective property tax rate (state-level). | Carrying cost pressure erodes net proceeds. |
| Home Insurance $ | Average annual premium (state-level). | Insurance friction can delay/kill closings, especially with claims. |
Trust requires auditability. Download the dataset and cite the version.
Seller friction is the total resistance between listing a home and closing cleanly: time-to-sell, negotiation pressure (cuts/concessions), and carrying-cost/underwriting friction (tax, insurance, claims).
Not automatically, but higher friction can raise retrade probability and timeline risk. Many sellers optimize for net certainty: close probability × net proceeds × timeline.
Sort the table by Friction Score. Because the index is computed from the dataset distribution, rankings update whenever you refresh the dataset.
If your goal is speed, simplicity, or a clean close (without showings/repairs), request an offer. We’ll map your home to today’s friction signals and give you a timeline you can actually trust.