2016 Ford Transit CO XLT
NM0AS8FX1G1273046
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.
Decoded from the VIN
NHTSA build data for NM0AS8FX1G1273046Full 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 25 MPG combined.
Safety & recalls
NHTSA crash tests & recall campaigns for this model yearThe 2016 Ford Transit CO has 21 recall campaigns as of August 2026. NHTSA rated it 4 out of 5 stars for frontal crash. EPA combined fuel economy: 25 MPG.
Tested configuration: 2016 Ford Transit VAN RWD
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POWER TRAINXL Hybrids, Inc (XL) is recalling certain 2015-2018 Ford Transit vehicles modified to be equipped with XL's electric hybrid system.NHTSA campaign 19V103000
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ELECTRICAL SYSTEMFord Motor Company (Ford) is recalling certain 2015-2017 Ford Transit vehicles, equipped with a trailer tow module.NHTSA campaign 18V275000
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SEATSNew England Wheels (New England) is recalling certain 2014-2018 Ford Transit and 2014-2019 Ram Promaster 2500 and 3500 vehicles modified to be equipped with Freedman Go-ES…NHTSA campaign 19V333000
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 2016 Ford Transit CO from NHTSA (recalls, NCAP crash tests) and 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 Ford Transit CO XLT (this car) | — | 0 | — |
| 2017 Ford Transit | $23,999 | 5 | — |
| 2017 Toyota Sienna | $17,368 | 4 | — |
| 2016 Mercedes-Benz Sprinter | $27,997 | 4 | — |
| 2017 Chevrolet Express | $15,999 | 3 | — |
| 2015 GMC Savana | $11,822 | 2 | — |
Cheapest active listings of each comparable body style in this region — median of what those models actually ask.
