2020 Mazda MX-5 100TH Anniversary Special
JM1NDAA79L0417097
This vehicle is no longer listed. The figures below describe the market for this build.
Listings
Full listing history on VehiSales →No active listings of this exact VIN right now.
Former listings
| Dealer | Location | Price | Mileage | Listed |
|---|---|---|---|---|
| Mazda South | Austin, TX 78745 | $27,997 | 11,603 mi | 2023-06-11 |
Estimate the monthly payment at the typical market price ($27,997)
This vehicle is no longer listed, so the estimate starts from $27,997 — the typical market price for this build. Move the numbers to match your own loan.
Estimate only. Excludes tax, title, registration and dealer fees, and assumes a fixed-rate loan with equal monthly payments. Your actual rate depends on your credit and lender.
Decoded from the VIN
NHTSA build data for JM1NDAA79L0417097Full factory specs for this build →
- ✗ Backup camera
- ✗ Blind-spot monitor
- ✗ Lane departure
- ✗ ABS
- ✗ Electronic stability
Fuel economy (EPA)
Assumes 15,000 miles a year at $3.10/gallon and 30 MPG combined.
Safety & recalls
NHTSA crash tests & recall campaigns for this model yearThe 2020 Mazda MX-5 Miata has 1 recall campaign as of September 2026. EPA combined fuel economy: 30 MPG.
-
AIR BAGSMazda North American Operations (Mazda) is recalling certain 2016-2023 MX-5 Miata vehicles.NHTSA campaign 24V695000
Recall campaigns apply to the model year, not to one car. Check remedy status for this VIN at nhtsa.gov/recalls.
Model-level data for the 2020 Mazda MX-5 Miata from NHTSA (recalls, NCAP crash tests) and EPA fueleconomy.gov, refreshed September 3, 2026.
How it compares to rivals
Median asking price for comparable body styles listed near this car| Model | Median price | For sale nearby | vs this car |
|---|---|---|---|
| 2020 Mazda MX-5 100TH Anniversary Special (this car) | — | 0 | — |
| 2022 Mazda MX-5 | $26,898 | 7 | — |
| 2021 Chevrolet Corvette | $67,590 | 3 | — |
| 2021 BMW 430i | $29,261 | 2 | — |
Cheapest active listings of each comparable body style in this region — median of what those models actually ask.