MOT Risk Index.co.uk

The 10 most reliable cars by MOT data

These families fail their MOT less often than their age predicts (index below 100 with the margin of error clear of 100). Computed from DVSA initial tests, calendar 2024. The other end of the table: the worst cars for MOT failure.

  1. Trend from 7.0 to 25.8 Land Rover Range Rover Sport — index 60.3: fails about 40% less often than expected for its age (14.99% of 303,232 tests found a failing defect).
  2. Trend from 8.8 to 20.2 Land Rover Range Rover Evoque — index 67.2: fails about 33% less often than expected for its age (14.39% of 352,325 tests found a failing defect).
  3. Trend from 9.6 to 24.3 Audi A5 — index 71.5: fails about 29% less often than expected for its age (18.06% of 241,015 tests found a failing defect).
  4. Trend from 7.5 to 26.0 Audi Q3 — index 72.8: fails about 27% less often than expected for its age (14.57% of 226,174 tests found a failing defect).
  5. Trend from 9.6 to 30.5 BMW 3 Series — index 75.6: fails about 24% less often than expected for its age (24.75% of 675,043 tests found a failing defect).
  6. Trend from 11.0 to 30.2 Mercedes E Class — index 75.8: fails about 24% less often than expected for its age (19.86% of 419,012 tests found a failing defect).
  7. Trend from 8.7 to 38.7 Toyota Prius — index 79.4: fails about 21% less often than expected for its age (19.52% of 260,089 tests found a failing defect).
  8. Trend from 9.7 to 36.3 Volkswagen Tiguan — index 79.8: fails about 20% less often than expected for its age (15.81% of 397,745 tests found a failing defect).
  9. Trend from 7.2 to 42.9 Audi A3 — index 82.1: fails about 18% less often than expected for its age (23.11% of 654,933 tests found a failing defect).
  10. Trend from 6.9 to 49.0 Honda CR-V — index 82.4: fails about 18% less often than expected for its age (24.21% of 304,832 tests found a failing defect).

A low index is age-adjusted reliability at the test — not a guarantee for any individual car. Full method: methodology · dataset release dvsa-2024-v1 ·national statistics + CSV.