Suzuki Swift MOT pass rate and common faults
MOT tests in 2025, published 22 Jun 2026. DVSA publishes a new year each summer.
135,247 Suzuki Swift cars had an MOT in 2025 and 72.3% passed first time. That is in line with what cars of the same ages scored (71.7%).
Find the year your car was first registered below, then check the faults it is most likely to fail on.
Pass rate by year
Each year's first-time pass rate, with a tick for all cars first used that year. Years with fewer than 300 tests, and cars over 20 years old, are left out. Years with 1,000 or more tests link to a page of their own, with that year's common faults.
| Item | Suzuki Swift | All cars that year |
|---|---|---|
| 2022 | 93.2% | 88.5% |
| 2021 | 89.5% | 87.2% |
| 2020 | 88.4% | 86.0% |
| 2019 | 86.6% | 83.5% |
| 2018 | 83.9% | 80.9% |
| 2017 | 79.9% | 78.2% |
| 2016 | 76.2% | 74.9% |
| 2015 | 74.3% | 71.9% |
| 2014 | 70.8% | 68.6% |
| 2013 | 67.9% | 65.8% |
| 2012 | 64.5% | 63.5% |
| 2011 | 61.4% | 61.2% |
| 2010 | 55.8% | 59.3% |
| 2009 | 54.1% | 58.3% |
| 2008 | 52.1% | 57.2% |
| 2007 | 51.1% | 57.4% |
| 2006 | 50.5% | 57.0% |
| 2005 | 48.6% | 57.6% |
Source: DVSA, tests in 2025, published 22 June 2026.
Common failures
The share of all Suzuki Swift cars tested that failed on, or had fixed at the station, each item. Worth checking before the MOT or before you buy.
| Item | Value |
|---|---|
| Position lamp: not working | 4.8% |
| Stop lamp: not working | 4.0% |
| Wipers: does not clear the windscreen effectively | 3.3% |
| Tread depth: tread depth below requirements of 1.6mm | 2.1% |
| Coil spring: fractured or broken | 2.1% |
| Rigid brake pipes: excessively corroded | 2.0% |
| Ball joint: ball joint excessively worn | 1.8% |
| Service brake (roller test): efficiency below requirements | 1.8% |
Source: DVSA, tests in 2025, published 22 June 2026.
Common advisories
Advisories are things the tester noticed that were not bad enough to fail. They often turn into failures later. What advisories mean for the next MOT.
| Item | Value |
|---|---|
| Tread depth: worn close to legal limit/worn on edge | 14.7% |
| Rigid brake pipes: corroded, covered in grease or other material | 13.2% |
| Condition: slightly damaged/cracking or perishing | 13.0% |
| Pins and bushes: pin or bush worn but not resulting in excessive movement | 8.4% |
| Brake discs: worn, pitted or scored, but not seriously weakened | 7.1% |
| Brake pads: wearing thin | 5.5% |
| Coil spring: corroded | 3.3% |
| Service brake performance: binding but not excessively | 2.8% |
Source: DVSA, tests in 2025, published 22 June 2026.
Typical mileage
Recorded mileage at the MOT. A car well above the range for its age has done more work than most; one far below is worth a closer look at its MOT history.
| Age | Low | Typical | High | All cars, typical |
|---|---|---|---|---|
| 3-5 years | 15,900 | 24,000 miles | 34,700 | 30,900 |
| 6-8 years | 28,700 | 40,900 miles | 55,900 | 51,800 |
| 9-11 years | 43,100 | 60,100 miles | 79,200 | 73,500 |
| 12-14 years | 58,600 | 78,800 miles | 100,300 | 91,400 |
| 15-17 years | 68,100 | 89,500 miles | 111,000 | 101,600 |
| 18-20 years | 73,500 | 95,200 miles | 116,400 | 106,700 |
| 21+ years | 34,200 | 50,600 miles | 70,900 | 99,200 |
The middle half of cars fall between the low and high figures. Source: DVSA, tests in 2025, published 22 June 2026.
Reliability and recalls
- Suzuki Swift reliability score, adjusted for age and ranked against other models.
- 19 recalls for the Suzuki Swift, from the DVSA recalls list.
- Check if a Suzuki has been recalled on GOV.UK, using its registration.
- All Suzuki models and the Suzuki vehicle history check.
Checking one car?
These figures describe groups of cars. A vehicle history report shows the full MOT history, mileage, outstanding finance, write-offs and stolen records for one registration.
Figures from the DVSA anonymised MOT testing data for MOT tests in 2025, published by the Driver and Vehicle Standards Agency. Analysis by Motoring Insider. Contains public sector information licensed under the Open Government Licence v3.0. How we work out these figures.
Every dataset we use is listed on our data sources page, with the credit lines on our attribution page.