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U.S. Patent No. 12,236,477 — Patented Automotive Data Standardization Technology
OAV

Ford Escape in Minnesota

OAV.io analyzes millions of vehicle listings using RetailVision™ market data to identify vehicles priced below expected market ranges based on year, make, model, trim (when available), and comparable listings.

OAV helps determine if a vehicle is a good deal by comparing its price to similar listings within its supported comparable range. Sell-through is separate Demand-Verified evidence, not part of the price verdict.

Independent market evidence — no dealer pays for inclusion or ranking, no editorial curation, only measured data from live listings.

Market snapshot · November 8, 2026

Ford Escape — market pricing in Minnesota

As of 2026-11-08, 917 listed Ford Escapes in Minnesota had a median asking price of $16,999, with a typical range (25th–75th percentile) of $10,450–$23,340, median odometer 60,645 mi, and a median 46 days on the lot. Asking prices, not sold prices; aggregated across model years from a dated market snapshot.

Per-listing verdicts on the OAV listings surface use the OAV Price-to-Market™ (PTM) score — an evidentiary comparison of each listing's asking price against comparables — same make and model within OAV's year window, with trim where the data supports it.

Median price
$16,999
Typical range
$10,450–$23,340
Median miles
60,645 mi
Median days on lot
46
Listings
917

Aggregated from more than 6 million active dealer listings across all 50 states + DC, deduplicated by VIN and refreshed daily. Median & percentiles from 917 listings in Minnesota at the 2026-11-08 snapshot. Not a verdict on any single vehicle.

By Model Year in Minnesota

The Ford Escape distribution across model years in Minnesota. Each linked year opens a dedicated market-evidence page with the year-specific median, range, and days-on-lot.

Model YearListingsMedian Price
202614$27,672See 2026 details →
2025116$24,071See 2025 details →
2024129$24,300See 2024 details →
2023122$23,258See 2023 details →
202263$18,750See 2022 details →
202127$16,999See 2021 details →
202083$15,070See 2020 details →
201936$12,774no dedicated page
201878$12,842no dedicated page
201762$10,995no dedicated page
201644$8,270no dedicated page
201534$7,672no dedicated page
201450$7,280no dedicated page
201322$7,025no dedicated page
201210$7,032no dedicated page

How OAV Identifies Deals

OAV builds a comparable range for each vehicle from regularly refreshed dealer-advertised listings — same make, model and year range, trim where the data supports it. Where the evidence supports a verdict, a vehicle is rated by how its asking price compares to that range; days-on-lot and sell-through are separate demand signals, never inputs to the Price-to-Market verdict. When OAV evaluates a listing but the evidence does not support a verdict, the listing is Unscored.

  • Millions of retail comparables across U.S. markets.
  • Vehicles compared on year, make, model, and trim (when available).
  • Real price-to-market ranges from regularly refreshed market data.
  • Days-on-lot is a separate demand signal, never an input to the Price-to-Market verdict.
  • Listings priced below the comparable-range floor by at least OAV's minimum-gap margin surface as Great Deal — a great deal compared to similar vehicles currently for sale.
  • Listings priced within the comparable range, or below the floor by less than that margin surface as Fair Price — fairly priced, in line with what comparable vehicles are typically listed for.
  • Listings priced above the comparable range surface as Overpriced — above market, higher than what comparable vehicles are typically listed for.
  • Dealer business information is public on every profile. OAV-claimed dealers route inquiries through OAV.

This helps identify which listings are a great deal relative to comparable vehicles — OAV's Great Deal verdict — and shows the evidence behind every rating.

Powered by OAV's patented vehicle market standardization technology (U.S. Patent No. 12,236,477).

Learn how OAV identifies Demand-Verified Deals™