2016 Fiat 500 POP
3C3CFFDRXGT169550
This vehicle is no longer listed. The figures below describe the market for this build.
Market price range
Based on 12 comparable same-build listings · Market data as of September 7, 2026Listings
Full listing history on VehiSales →No active listings of this exact VIN right now.
Estimate the monthly payment at the typical market price ($8,513)
This vehicle is no longer listed, so the estimate starts from $8,513 — 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 3C3CFFDRXGT169550- ✗ Backup camera
- ✗ Blind-spot monitor
- ✗ Lane departure
- ✗ ABS
- ✗ Electronic stability
Fiat
Window sticker on file for this VIN
The original window sticker for this 500
Factory equipment, the options actually installed and the price this car left the line with — the same document that hung on the glass in the showroom.
Open the sticker — $4
3 for $9
Opens on VehiLeaks · PDF right after checkout
Fuel economy (EPA)
Assumes 15,000 miles a year at $3.10/gallon and 29 MPG combined.
5-year cost to own
Beyond the sticker: what this 2016 Fiat 500C likely costs over five years at 15,000 mi/yr.
Estimate — insurance and taxes vary by driver and state.
Model-level data for the 2016 Fiat 500C from EPA fueleconomy.gov, refreshed August 31, 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 |
|---|---|---|---|
| 2016 Fiat 500 POP (this car) | $8,513 | 12 | — |
| 2017 Chevrolet Camaro | $21,792 | 4 | +$13,279 |
| 2016 Volkswagen Beetle | $11,390 | 2 | +$2,877 |
| 2018 Fiat 124 Spider | $13,000 | 2 | +$4,487 |
| 2016 Mazda MX-5 | $17,680 | 2 | +$9,167 |
| 2015 Bentley Continental | $82,445 | 2 | +$73,932 |
Cheapest active listings of each comparable body style in this region — median of what those models actually ask.
