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Plotting a vehicle's model year against price and mileage (also called a 'Price vs. Odometer' chart) helps potential car buyers and sellers analyze how vehicle prices change based on age and odometer condition.
Trends typically show higher prices for newer models or decreasing prices with increased odometer, aiding in fair price estimation. It also exposes any correlation between odometer readings and price, highlighting cars that maintain value despite high mileage.
Ultimately, this chart empowers users to make informed decisions and negotiate better deals based on market dynamics for different car models.
See Vehicle Price Distribution with a histogram of vehicle prices and their frequency on the market. The aggregated overview provides a quick visual way and highlights the 15% lowest offers as a Below market and 25% highest offers as Above market values.
Peaks indicate popular price points, and the overall shape provides insights into the price distribution.
The Vehicle Price Map chart describes the relationship between a vehicle's price and its odometer reading.
The major trendline captures the market average, illustrating expected vehicle prices according to mileage. Individual market records are color-coded: green indicates vehicles priced below the market average while red signifies those above.
Here you can quickly assess whether a vehicle is priced reasonably given its odometer reading and where it stands in comparison to the market average.
It's fantastic for evaluating the fairness of a vehicle's price, spotting potential deals, and generally getting wider insight about the second-hand market.
Viewers can use this chart to understand how a vehicle's value decreases over time. By examining the trend line and data points, they can estimate the current value of the vehicle based on its age and understand the expected depreciation pattern. It can also be a valuable tool for budgeting, financial planning, and deciding when to sell or trade in a vehicle.
Get Vehicle valuation at scale with Vincario Vehicle Market Value API service.
{
"vin": "XXXDEF1GH23456789",
"vehicle": {
"vehicle_id": 4599,
"make": "Toyota",
"make_id": 108,
"model": "Yaris",
"model_id": 18753,
"model_year": 2012,
"transmission": "Automatic",
"transmission_id": 2,
"engine_displacement_ccm": 1497,
"fuel_type_primary": "Gasoline",
"fuel_type_primary_id": 8,
"make_logo": "https:\/\/vindecoder.eu\/img\/make\/toyota.svg"
},
"period": {
"from": "2022-11-14",
"to": "2023-11-14"
},
"market_price": {
"europe": {
"price_count": 29,
"price_currency": "EUR",
"price_below": 5000,
"price_median": 6700,
"price_avg": 6774,
"price_above": 8500,
"price_stdev": 1267
},
"north_america": {
"price_count": 13,
"price_currency": "USD",
"price_below": 6700,
"price_median": 8500,
"price_avg": 9065,
"price_above": 12800,
"price_stdev": 1823
}
},
"market_odometer": {
"europe": {
"odometer_count": 29,
"odometer_unit": "km",
"odometer_below": 62400,
"odometer_median": 88586,
"odometer_avg": 96812,
"odometer_above": 130000,
"odometer_stdev": 50081
},
"north_america": {
"odometer_count": 13,
"odometer_unit": "mi",
"odometer_below": 26400,
"odometer_median": 41731,
"odometer_avg": 40395,
"odometer_above": 56700,
"odometer_stdev": 15815
}
},
"records": [
{
"market": "DE",
"continent": "EU",
"price": 4799,
"price_currency": "EUR",
"odometer": 280000,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 4895,
"price_currency": "EUR",
"odometer": 130000,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 4900,
"price_currency": "EUR",
"odometer": 150000,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 4990,
"price_currency": "EUR",
"odometer": 148583,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 5250,
"price_currency": "EUR",
"odometer": 149099,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 5900,
"price_currency": "EUR",
"odometer": 62400,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 5900,
"price_currency": "EUR",
"odometer": 99800,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 5900,
"price_currency": "EUR",
"odometer": 103000,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 5999,
"price_currency": "EUR",
"odometer": 138500,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 6190,
"price_currency": "EUR",
"odometer": 29000,
"odometer_unit": "km"
},
{
"market": "US",
"continent": "NA",
"price": 6410,
"price_currency": "USD",
"odometer": 54370,
"odometer_unit": "mi"
},
{
"market": "DE",
"continent": "EU",
"price": 6499,
"price_currency": "EUR",
"odometer": 68218,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 6500,
"price_currency": "EUR",
"odometer": 122000,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 6500,
"price_currency": "EUR",
"odometer": 128300,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 6699,
"price_currency": "EUR",
"odometer": 68890,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 6700,
"price_currency": "EUR",
"odometer": 85000,
"odometer_unit": "km"
},
{
"market": "US",
"continent": "NA",
"price": 6740,
"price_currency": "USD",
"odometer": 61746,
"odometer_unit": "mi"
},
{
"market": "DE",
"continent": "EU",
"price": 6800,
"price_currency": "EUR",
"odometer": 99928,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 6950,
"price_currency": "EUR",
"odometer": 75000,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 6990,
"price_currency": "EUR",
"odometer": 120464,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 6999,
"price_currency": "EUR",
"odometer": 87818,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 7290,
"price_currency": "EUR",
"odometer": 99000,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 7300,
"price_currency": "EUR",
"odometer": 45500,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 7349,
"price_currency": "EUR",
"odometer": 102458,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 7590,
"price_currency": "EUR",
"odometer": 81645,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 7980,
"price_currency": "EUR",
"odometer": 53128,
"odometer_unit": "km"
},
{
"market": "DE",
"continent": "EU",
"price": 7990,
"price_currency": "EUR",
"odometer": 44545,
"odometer_unit": "km"
},
{
"market": "US",
"continent": "NA",
"price": 8130,
"price_currency": "USD",
"odometer": 37624,
"odometer_unit": "mi"
},
{
"market": "US",
"continent": "NA",
"price": 8130,
"price_currency": "USD",
"odometer": 41731,
"odometer_unit": "mi"
},
{
"market": "DE",
"continent": "EU",
"price": 8199,
"price_currency": "EUR",
"odometer": 88586,
"odometer_unit": "km"
},
{
"market": "US",
"continent": "NA",
"price": 8450,
"price_currency": "USD",
"odometer": 50095,
"odometer_unit": "mi"
},
{
"market": "DE",
"continent": "EU",
"price": 8490,
"price_currency": "EUR",
"odometer": 68000,
"odometer_unit": "km"
},
{
"market": "US",
"continent": "NA",
"price": 8500,
"price_currency": "USD",
"odometer": 54370,
"odometer_unit": "mi"
},
{
"market": "US",
"continent": "NA",
"price": 8500,
"price_currency": "USD",
"odometer": 56700,
"odometer_unit": "mi"
},
{
"market": "US",
"continent": "NA",
"price": 8550,
"price_currency": "USD",
"odometer": 47491,
"odometer_unit": "mi"
},
{
"market": "DE",
"continent": "EU",
"price": 8700,
"price_currency": "EUR",
"odometer": 50000,
"odometer_unit": "km"
},
{
"market": "US",
"continent": "NA",
"price": 9610,
"price_currency": "USD",
"odometer": 24463,
"odometer_unit": "mi"
},
{
"market": "US",
"continent": "NA",
"price": 9620,
"price_currency": "USD",
"odometer": 6761,
"odometer_unit": "mi"
},
{
"market": "DE",
"continent": "EU",
"price": 10199,
"price_currency": "EUR",
"odometer": 28699,
"odometer_unit": "km"
},
{
"market": "US",
"continent": "NA",
"price": 10640,
"price_currency": "USD",
"odometer": 32821,
"odometer_unit": "mi"
},
{
"market": "US",
"continent": "NA",
"price": 11750,
"price_currency": "USD",
"odometer": 30568,
"odometer_unit": "mi"
},
{
"market": "US",
"continent": "NA",
"price": 12820,
"price_currency": "USD",
"odometer": 26396,
"odometer_unit": "mi"
}
]
}
API response structure allows you to filter results based on Market and Odometer range directly on your end. That improves the tool variability and supports multiple use cases at the same time.
You can implement the full REST JSON API service into your own application in less than 5 minutes with:
<?php
$apiPrefix = "https://api.vincario.com/3.2";
$apiKey = "YOUR_API_KEY"; // Your API key
$secretKey = "YOUR_SECRET_KEY"; // Your secret key
$id = "vehicle-market-value";
$vin = mb_strtoupper("XXXDEF1GH23456789");
$controlsum = substr(sha1("{$vin}|{$id}|{$apikey}|{$secretkey}"), 0, 10);
$data =file_get_contents("{$apiPrefix}/{$apikey}/{$controlsum}/vehicle-market-value/{$vin}.json",false);
$result = json_decode($data);
?>
Identify all your vehicle's value in order to define the right leasing costs.
Find out the real vehicle price before selling/buying a car, motorbike, truck, van or trailer.
Ensure comprehensive protection for your assets by aligning your insurance coverage with the accurate and current valuation of your vehicles.
Find out what your fleet is worth with an easy to use VIN lookup API service.
Compare the vehicle price with the spare part price to make sure the repair still makes sense.
Boost your sales with accurate vehicle identification based on a VIN Decoding.
Automate data processes. Speed up vehicle onboarding in your system. Become a leader in the automotive industry.
Market insight into a valuation of Passenger cars, Vans, Trucks, Buses, Trailers, Motorbikes, Tractors, ATV Quads and other vehicle types.
99.9% service uptime. API responses in milliseconds. Results verified by a statistical model. GDPR & CPRA compliant.
Prepay Vehicle Market Value services and get access to the right information that allows you to grow. API endpoint is ready to handle thousands of requests for large fleets. Our customer service is always ready to build a custom package that will fit your specific needs.
Vincario breaks down VIN into the vehicle specification and looks up all relevant vehicle ads on the market to provide you with a comprehensive market data analysis.
The valuation calculations are based on vehicles within the same VIN structure. The minimum requirements are Make, Model, Model year. If available, Vincario will take into account Transmission, Engine Displacement ccm, Engine Power kW and Fuel Type to group only relevant vehicle ads.
The VIN structure doesn't hold any information about a vehicle condition nor its equipment which typically also impact the vehicle price.
Vincario collects vehicle ads from online auction sites, partners and publicly accessible sources.
New data is typically imported on a weekly basis. Larger updates are performed each month.
Vincario has developed its own vehicle valuation service using a data driven approach based on a VIN. That allows our customers to quickly access the required data via API, automate processes and gain the valuable information directly into their own applications.
The manual evaluation is already forgotten by history. Scale up with automated processes and AI approach.
Still not sure whether The VIN Decoder API will fit your needs? Let us know via Contact page. Our customer support is ready to answer all your questions.