BADVIN vehicle history report for
2016 CHEVROLET SILVERADOVIN: 3GCPCREC0GG306148
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Historical Records
events
Photos
19 images
Sales History
2 records
Sale Prices
1 records
Market report
Price analytics
Historical Records
Historical records may include service and maintenance records, title status (clean, junk, salvage), insurance records, number of owners, registration events and states, and other information.
You can find more information about historical records in BADVIN reports and see more examples here.
Available historical records for VIN 3GCPCREC0GG306148
Latest reported mileage: 864 mi
Below you can see some examples of what these records could look like.
2023-04-29
a year ago
49,002 mi
SALVAGE TITLE/CERTIFICATE ISSUED
2021-10-06
3 years ago
14,880 mi
Accident reported: minor damage with another motor vehicle
Damage to rear
Damage to rear
2020-09-29
4 years ago
44,039 mi
NOT ACTUAL MILEAGE TITLE ISSUED
Titled or registered as lease vehicle
Titled or registered as lease vehicle
Sale Record
2016 CHEVROLET SILVERADO C1500 LT
sold
| Year | 2016 |
| Title | Hidden text (Hidden text) |
| ODO | 5843 mi (Hidden text) |
| Damage | Hidden text |
| Estimated Retail Value | $3127 |
| Estimated Repair Cost | $1869 (865%) |
| Location | San Antonio, TX, 78233 |
| Date | ended 3 years ago |
| Sale Website Type | salvage or insurance auction |
sale information provided by user #202479
All photos above are REAL and display ACTUAL car. After you get the report you will see full resolution photos.
Tech Specs
| Color | GRAY |
| Transmission | AUTOMATIC |
| Engine | 5.3L 8 |
| Drive | Rear-wheel drive |
| Fuel Type | GAS |
Model Analytics & Market Report
We've analyzed more than 5,100 sales records of this model and here are some numbers.
The average price for new (MSRP) 2016 CHEVROLET SILVERADO in 2016 was $66,245.
The average price for used 2016 CHEVROLET SILVERADO nowadays in 2024 is $39,850 which is 60% from the original price.
Estimated mileage driven per year is 13,127 miles.
For this model we also have depreciation curve, photos, list of features and options, and other analytics.
Take a look at 2016 CHEVROLET SILVERADO model page in BADVIN vehicles catalog.
Depreciation
The graph below is a depreciation curve for 2016 CHEVROLET SILVERADO. It shows how much this model looses per year in price. This analytics is calculated using sales records from BADVIN database.
The table below shows average price for used 2016 CHEVROLET SILVERADO in each year since the year of manufacturing, current year price and projected price in the future years.
You can scroll the table horizontally to see all columns.
| Year | Average Mileage | Average Price | % Left | % Lost | ||
|---|---|---|---|---|---|---|
| 2016 MSRP | 0 mi | $66,245 | — | — | 100% | 0% |
| 2016 | 13,127 mi | $73,103 | −$6,858 | −10.35% | 110.35% | -10.35% |
| 2017 | 26,254 mi | $65,993 | +$7,110 | +9.73% | 99.62% | 0.38% |
| 2018 | 39,381 mi | $60,568 | +$5,425 | +8.22% | 91.43% | 8.57% |
| 2019 | 52,508 mi | $55,995 | +$4,573 | +7.55% | 84.53% | 15.47% |
| 2020 | 65,635 mi | $49,995 | +$6,000 | +10.72% | 75.47% | 24.53% |
| → Visit 2016 CHEVROLET SILVERADO depreciation page to see full data. | ||||||
Price vs Mileage
The graph below shows how mileage affects the price for 2016 CHEVROLET SILVERADO. This data was calculated using sales records from BADVIN database.
The table below shows average price for used 2016 CHEVROLET SILVERADO by mileage and number of sales.
You can scroll the table horizontally to see all columns.
| Mileage | Average Price | Sample Size |
|---|---|---|
| 10,000 mi | $58,988 | 11 sales |
| 15,000 mi | $55,990 | 11 sales |
| 20,000 mi | $57,803 | 11 sales |
| 25,000 mi | $57,999 | 17 sales |
| 30,000 mi | $52,275 | 34 sales |
| 35,000 mi | $58,941 | 40 sales |
| → Visit 2016 CHEVROLET SILVERADO depreciation page to see full data. | ||
Get FULL ACCESS to the vehicle history report and see all blurred info.
⭐ Read 206+ reviews from our customers who used BADVIN to avoid buying junk vehicles.
Testimonials from our customers
I've tried a bunch of different vehicle history reports over the years and badvin.org has been the most comprehensive by far. Stuff like service records, ownership history, lien and repo info that I haven't found elsewhere. Def go-to resource when shopping for used vehicles now.
Levi Johnson
verified on Trustpilot
Report showed a car I was considering had a prior salvage title from a major accident, even though carfax listed it as clean. Messaged seller asking about it and they made shady excuses. Def avoided a scam thanks to badvin!
Mia Johnson
verified on Trustpilot
Was about to buy a used 2016 Camry but decided to get the badvin report first. Turns out the car had been in a serious crash and was declared a total loss by insurance, even tho carfax showed it as clean! Dodged a bullet on that one. ty badvin
Jessica Nguyen
verified on Trustpilot
As a car dealer importing vehicles from the US to Mexico, I rely on badvin for comprehensive history reports before bidding at auctions. Their info has helped me avoid several salvage vehicles and is more thorough than carfax. A must-have service!
Javier Ramirez
verified on Trustpilot
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Frequently asked questions
Yes, a VIN decoder can help identify if a 2016 CHEVROLET SILVERADO was previously stolen by accessing a database that records theft and recovery history.
Transmission replacement history, if applicable, might be detailed in our reports, providing insights into major repairs and vehicle reliability, if available.
Test vehicle status, if reported, reveals use in trials or development, which may involve experimental features and adjustments in the 2016 CHEVROLET SILVERADO.
The frequency of oil changes, a crucial aspect of vehicle maintenance, might be documented in the service history section of our reports, if records are available.
Yes, a VIN decoder can determine the manufacture year of the vehicle as it is encoded in the 10th character of the VIN.
The depreciation rate can be influenced by factors such as the vehicle's condition, mileage, market demand, and the pace of technological advancements in newer models.
