Roadside breakdown statistics, owner surveys and inspection results measure different aspects of reliability. They cannot be combined into a single probability that your next car will fail. This article preserves the historical report context and corrects figures previously assigned to the wrong year or model.
ADAC 2024: roadside assistance, with age matched
The ADAC Pannenstatistik 2024 release reports 2.8 breakdowns per 1,000 electric vehicles compared with 6.4 for combustion cars first registered in 2021. The report evaluates roadside interventions in 2023. This is a specific cohort and observation period, not a five-year failure probability for every powertrain.
The auxiliary battery was an important cause of callouts for both groups. A roadside dataset does not capture every workshop visit, infotainment fault or repair bill. It therefore cannot establish that all EV ownership problems are rarer or cheaper.
Consumer Reports: problems reported by owners
Consumer Reports gathers member survey responses across vehicle problem areas and uses them to assess model reliability. Its reliability FAQ explains that approach. The live page is updated over time, so its present sample and rankings must not be labelled as the 2024 survey.
The dated 2023 release, which also discussed predictions for 2024 models, illustrates why publication year and model year need separate labels. The old article's unverified 2024 percentage chart has been removed rather than attached to a newer survey.
TÜV Report 2025: inspection defects
The TÜV Report 2025 release records significant defects at the first inspection for 14.2% of the Tesla Model 3 vehicles examined. It highlights brakes, axles and lighting. The earlier article incorrectly attributed a different percentage to Model Y and explained the result through cosmetic faults.
An inspection failure rate describes inspected vehicles in an age group. It is not the chance of a roadside breakdown or a direct estimate of battery failure. Compare the same model age and consider mileage and maintenance before drawing a purchasing conclusion.
Questions to ask of any reliability table
| Measure | Useful question | Cannot establish on its own |
|---|---|---|
| Roadside callouts | How often did comparable vehicles need assistance? | Total repair cost |
| Owner survey | Which problems did respondents encounter? | Population-wide failure probability |
| Inspection defects | Which safety-relevant defects were found? | Likelihood of being stranded |
No comparable LPG-specific dataset was established for this article. That gap does not justify assigning LPG an invented risk percentage. For a converted car, examine the installation documentation, exact engine compatibility and service history.
Use the report matching your question, then investigate the exact model and year. Warranty coverage, repair prices and downtime require separate evidence before they become part of an ownership-cost comparison.