Used car reliability often differs from predicted reliability for new cars. New car reliability predictions often rely on the last three years of data, brand history, and component consistency across models. However, used cars often belong to older generations, potentially lacking the features and components of their modern counterparts. Automaker lineups also evolve, as seen with Ford’s shift towards SUVs and trucks, leaving only the Mustang as a car offering.
This difference is evident in brands like BMW. Older used BMWs may have lower reliability rankings, while newer models rank high (eighth place) in predicted new-car reliability. Conversely, Volvo ranks high (seventh) for used models aged 5-10 years but lower (fifteenth) for new cars. These trends highlight the dynamic nature of reliability.
Tesla demonstrates improving reliability, ranking fifteenth for used cars and seventeenth for new cars. This rise from a previous twenty-fourth place ranking for used cars showcases Tesla’s progress in manufacturing and engineering. However, their ranking indicates room for further improvement.
Some brands maintain consistent reliability across new and used models. Lexus and Toyota consistently hold the top two spots for both. Conversely, Jeep consistently ranks low in both categories. These inconsistencies between new and used car reliability underscore the importance of researching specific models before purchasing.
Reliability calculations compare a car’s problem frequency to the average for its model year. Newer cars often have minor reliability differences due to the low average problem rate. However, as cars age, problems accumulate, leading to significant variations within the same model year. Analyzing reliability over 5-10 years provides a clearer picture for used car buyers, revealing long-term performance and potential issues.