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What Factors Affect Used Car Prices The Most

  • Writer: Rohan Pericharan, Aarush Ashok
    Rohan Pericharan, Aarush Ashok
  • 11 hours ago
  • 4 min read

Buying a used car is a major decision, and many buyers want to know what makes one car more expensive than another. This report investigates the research question, "Which factors affect used car prices the most?" By studying trends in a large dataset, buyers can understand which features have the greatest influence on price and make smarter purchasing decisions.



The data used for this report comes from the CarDekho Vehicle Dataset on Kaggle. It contains thousands of used car listings with information such as selling price, fuel type, transmission, seller type, ownership history and year of manufacture. This dataset is useful because it includes a large number of vehicles from different brands and years, making the results more reliable than using a small sample. It also contains several variables that can be compared together, allowing clear patterns and relationships to be identified. These advantages make it a strong dataset for answering the research question.



The first pattern in the data shows that most used cars are sold by individual sellers, while dealers account for a much smaller share of listings and Trustmark dealers represent only a small number of sales. As mentioned in Figure 1, individual sellers make up the majority of the market. This means buyers are more likely to compare cars listed by private owners than by dealerships. Although seller type does not directly determine price, it helps explain where most vehicles come from and provides context for the rest of the data.





Fuel type reveals another important trend. As mentioned in Figure 2, diesel and petrol vehicles dominate the market, while CNG and LPG cars appear only in very small numbers. This suggests that buyers have far more choices when looking for petrol or diesel vehicles. The low number of CNG and LPG vehicles can be considered an outlier because they make up only a tiny proportion of the dataset. This graph is directly related to Figure 1 because the large number of individual sellers are mainly selling petrol and diesel cars. Together, these graphs describe the overall composition of the used car market before looking at price.





The strongest relationship with selling price is ownership history. As mentioned in Figure 3, cars with only one previous owner have the highest total selling prices, while prices decrease significantly for second-owner, third-owner, and fourth-owner vehicles. This supports the idea that buyers are willing to pay more for cars that have had fewer owners because they are often seen as better maintained and less risky. This is one of the most important comparisons in the dataset because it directly links a vehicle's history with its selling price. The large gap between first-owner cars and all other ownership categories also stands out as one of the clearest patterns in the data.





Transmission type provides another insight into buyer preferences. As mentioned in Figure 4, manual cars make up the vast majority of used vehicles, while automatic cars represent only a small share of listings. This graph is indirectly related to Figure 3 because the greater number of manual cars means they also make up a larger portion of first-owner vehicles and the overall market. Although the graph measures the number of cars rather than their prices, it helps explain which vehicles buyers are most likely to find when shopping. Automatic vehicles may be less common, making them more difficult to compare with other listings.





The final graph examines how selling prices changed over time. As mentioned in Figure 5, selling prices increased steadily over the years and reached their highest point around the pandemic period before falling sharply afterwards. This trend shows that the used car market was affected by external events, with prices rising as demand increased. The sharp increase from around 2017 to 2019 compared with earlier years can be viewed as an outlier because it is much higher than the general trend shown throughout most of the dataset. This graph is directly related to Figure 3 because even though market conditions changed over time, ownership history continued to remain an important factor affecting value. Together, they show that both market conditions and vehicle history influence the price a buyer pays.





The main story told by the dataset is that while many different characteristics describe a used car, some factors have a much greater impact on price than others. Seller type, fuel type and transmission explain what kinds of cars are most commonly available, but ownership history has the strongest connection to selling price. The changes in price over time also show that market conditions can increase or decrease prices, even when the car itself has not changed.



In conclusion, the data shows that the factor affecting used car prices the most is ownership history, with first-owner vehicles consistently achieving much higher selling prices than cars with multiple previous owners. Market conditions also play an important role, as prices increased significantly leading up to the pandemic before declining afterwards. Fuel type, seller type and transmission mainly describe the types of vehicles available rather than having the strongest influence on price. For buyers looking for the best value, a first-owner petrol or diesel car with a manual transmission is likely to provide the widest range of options while also offering better resale value and greater buyer confidence. By understanding these patterns, buyers can make informed decisions and choose a vehicle that offers the best balance between price, availability and long-term value.


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