2017 Ram ProMaster 2500 High Roof SRW FWD, Empty Cargo Van (Stock #GB36774A)
Vehicle Notes
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Chassis Details
Vehicle Options
- Interior Convenience Group
- Premium Appearance Group
- Quick Order Package 21A
- 4 Speakers
- AM/FM radio
- GPS Antenna Input
- Media Hub (USB, AUX)
- Media Input Hub
- Radio: AM/FM/MP3
- Radio: Uconnect 5.0
- SIRIUSXM Satellite Radio
- Air Conditioning
- Power steering
- Power windows
- Remote keyless entry
- Heavy Duty Suspension
- Traction control
- 4-Wheel Disc Brakes
- ABS brakes
- Additional Key Fobs (2)
- Dual front impact airbags
- Dual front side impact airbags
- Front anti-roll bar
- Front wheel independent suspension
- Low tire pressure warning
- Overhead airbag
- Brake assist
- Electronic Stability Control
- ParkSense Rear Park Assist System
- ParkView Rear Back-Up Camera
- Fog Lamps
- Speed Control
- Bodyside moldings
- Chrome Front Grille
- Front License Plate Bracket
- Power Folding/Heated Mirrors
- Turn signal indicator mirrors
- Windshield Document Holder
- 1-Yr SiriusXM Radio Service
- 5.0" Touchscreen Display
- Driver door bin
- For More Info, Call 800-643-2112
- Front reading lights
- Illuminated entry
- Integrated Voice Command w/Bluetooth
- Locking Glove Box
- MOPAR Spray-On Floor Liner
- Outside temperature display
- Shelf Above Roof Trim
- Steering Wheel Mounted Audio Controls
- Tachometer
- Telescoping steering wheel
- Trip computer
- Cloth Bucket Seats
- Front Bucket Seats
- Passenger Double Seat
- Cargo Net
- Cargo Partition
- Passenger door bin
- Underseat Storage Tray
- Wheels: 16" x 6.0" Steel
- Variably intermittent wipers
- 3.86 Axle Ratio
- View All
Call For Pricing |
Pricing Details
Price | $22,985 |
Contact Sheehy Ford Springfield for more info.
(703) 372-9969Vehicle available NOW in Springfield, VA
*These estimates reflect new EPA methods beginning with 2008 models. Your actual mileage will vary depending on how you drive and maintain your vehicle. Actual mileage will vary with options, driving conditions, driving habits, and vehicle's condition. Mileage estimates may be derived from the previous year model.