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AutosXchange Intel · VIN history

VIN KNDMC5C17G6143061 · 2016 Kia Sedona

Every dealer listing of this VIN tracked by AutosXchange since 2026-11-05: where it was listed, for how much, and when it left the market. Listed for sale now.

2016 Kia Sedona photo
Photo of this car
At the car? Scan the barcode on the driver's door jamb or windshield sticker.
1dealer listing1state0price changesFor salestatus

What this means for you: For sale now at TOP RIDE AUTO GROUP INC for $7,999. Its car page compares that price with similar cars.

Still for sale at TOP RIDE AUTO GROUP INC · $7,999View active listing
VIN decoded

2016 Kia Sedona EX - Middle level

Factory details for VIN KNDMC5C17G6143061 from NHTSA's vehicle database (the manufacturer's own data). The VIN check digit is valid.

Year2016
MakeKia
ModelSedona
TrimEX - Middle level
BodyMinivan
Doors4
Engine3.3L 6-cylinder
FuelGasoline
Built inSohari (Exported Vehicle), South Korea

4 NHTSA recalls for the 2016 Kia Sedona (all VINs of this model year). Check whether this exact car still has an open recall: NHTSA recall check for this VIN →

  • Structure:Body:Door (18V338000): Kia Motors America (Kia) is recalling certain 2015-2018 Kia Sedona vehicles equipped with a power sliding door (PSD). The PSD may not auto-reverse when its closing is obstructed.
  • Electrical System:Wiring (19V109000): Kia Motors America (Kia) is recalling certain 2015-2018 Sedona vehicles equipped with manually-adjusted front passenger seats. Over time, the Occupant Detection System (ODS) wiring harness located underneath the front p…
  • Exterior Lighting:Turn Signal (21V725000): Kia Motors America (Kia) is recalling certain 2015-2017 Sedona vehicles. The Smart Junction Box (SJB) software logic may not properly interpret the signals received from the multifunction switch, which could cause the t…

Decoded data is what the manufacturer reported for this VIN pattern; options and condition of the actual car can differ. Accident and title history are not part of a VIN decode.

Timeline

Dealer listings of this VIN

DealerAddedRemovedFirst listed priceLast listed pricePrice changesOutcome
TOP RIDE AUTO GROUP INCLong Beach, CANov 5Still listed$7,999$7,999current asking0For saleView listing

2016 Kia Sedona: market value

Market value of this car
$9,995
based on 12 comparable cars · same 2016 Sedona EX · used · nationwide

This trim: 2016 Sedona EX · used · nationwide

Last listed prices nationwide, 30 days · same trim and years
No last listed prices yet

Not enough cars of this trim are tracked yet for a daily chart.

This trim for sale now, by area

AreaCarsMedian asking priceTypical range
Within 25 mi of Long Beach, California1Not enough comparable listings yet (1 found)—
Within 50 mi of Long Beach, California2Not enough comparable listings yet (2 found)—
Within 100 mi of Long Beach, California2Not enough comparable listings yet (2 found)—
California2Not enough comparable listings yet (2 found)—
Nationwide18$9,995$8,813 – $12,849
AutosXchange Intel

Market for this car: 2016 Kia Sedona EX

Quick numbers for every 2016 Kia Sedona EX we track. Pick an area and a period; open the full comparison for more.

Showing California. Tracking began Nov 5, 2026, so 30- and 90-day views cover the days since then.

1price cutsmedian $300
0price increases
0removed (often sold)
0newly listed

California, 2026-11-05 to 2026-11-12. Asking prices, not sale prices; a removed listing is often, but not always, a sale.

See every 2016 Kia Sedona EX for sale

Open the full comparison →

Method

About this history

Asking prices advertised by dealers, as tracked by AutosXchange; not final sale prices. "Listing removed" means the listing ended and the VIN has not been advertised by any dealer on AutosXchange since; "Moved" means it appeared at another dealer within 45 days. History begins 2026-11-05.

FAQ

Questions

Where was VIN KNDMC5C17G6143061 listed for sale?

TOP RIDE AUTO GROUP INC in Long Beach, CA from 2026-11-05 (still listed) at $7,999.

Source: AutosXchange Intel Hub, autos-xchange.com/market, 2026-11-12. AutosXchange Intel Hub · Methodology