Fiat Panda MOT pass rate and common faults
MOT tests in 2025, published 22 Jun 2026. DVSA publishes a new year each summer.
84,817 Fiat Panda cars had an MOT in 2025 and 64.1% passed first time. That is below what cars of the same ages scored (66.2%).
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 | Fiat Panda | All cars that year |
|---|---|---|
| 2022 | 89.7% | 88.5% |
| 2021 | 85.1% | 87.2% |
| 2020 | 83.3% | 86.0% |
| 2019 | 81.1% | 83.5% |
| 2018 | 78.8% | 80.9% |
| 2017 | 75.8% | 78.2% |
| 2016 | 73.4% | 74.9% |
| 2015 | 69.8% | 71.9% |
| 2014 | 68.0% | 68.6% |
| 2013 | 65.7% | 65.8% |
| 2012 | 64.1% | 63.5% |
| 2011 | 57.9% | 61.2% |
| 2010 | 57.3% | 59.3% |
| 2009 | 56.7% | 58.3% |
| 2008 | 53.2% | 57.2% |
| 2007 | 53.5% | 57.4% |
| 2006 | 53.8% | 57.0% |
| 2005 | 53.4% | 57.6% |
Source: DVSA, tests in 2025, published 22 June 2026.
Common failures
The share of all Fiat Panda cars tested that failed on, or had fixed at the station, each item. Worth checking before the MOT or before you buy.
| Item | Value |
|---|---|
| Pins and bushes: pin or bush excessively worn | 4.0% |
| Tread depth: tread depth below requirements of 1.6mm | 3.5% |
| Position lamp: not working | 3.4% |
| Wipers: does not clear the windscreen effectively | 3.0% |
| Coil spring: fractured or broken | 3.0% |
| Shock absorbers: has a serious fluid leak | 2.9% |
| Shock absorbers: has an excessively worn bush | 2.7% |
| Ball joint: ball joint excessively worn | 2.7% |
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 | 21.2% |
| Coil spring: corroded | 14.4% |
| Pins and bushes: pin or bush worn but not resulting in excessive movement | 10.1% |
| Brake discs: worn, pitted or scored, but not seriously weakened | 9.4% |
| Condition: slightly damaged/cracking or perishing | 9.4% |
| Engine oil leaks: leak, but not excessive | 7.2% |
| Exhaust system: has a minor leak of exhaust gases | 7.0% |
| Shock absorbers: has light misting of oil | 5.6% |
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 | 12,200 | 20,000 miles | 29,300 | 30,900 |
| 6-8 years | 20,100 | 31,500 miles | 46,100 | 51,800 |
| 9-11 years | 34,200 | 50,100 miles | 69,100 | 73,500 |
| 12-14 years | 44,400 | 62,500 miles | 83,800 | 91,400 |
| 15-17 years | 50,800 | 71,300 miles | 93,400 | 101,600 |
| 18-20 years | 58,100 | 79,300 miles | 101,900 | 106,700 |
| 21+ years | 54,800 | 76,300 miles | 96,900 | 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
- Fiat Panda reliability score, adjusted for age and ranked against other models.
- 15 recalls for the Fiat Panda, from the DVSA recalls list.
- Check if a Fiat has been recalled on GOV.UK, using its registration.
- All Fiat models and the Fiat 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.