2019 Suzuki Ignis — MOT failures & pass rate
15,854 MOT tests on the 2019 Suzuki Ignis are in this dataset, and 93.1% of them passed. Against city cars of a similar age (8.7% fail rate), the 2019 Ignis comes out 1.8pp better. Failures cluster in visibility, suspension and tyres.
What the MOT record shows
No single area dominates — visibility (4.0%) and suspension (2.7%) are close, so failures are spread across several systems rather than one weak point.
At component level the recurring items are wipers, coil spring and tread depth — wipers alone was recorded 695 times.
Mileage is the strongest signal on the record: 5.3% of 0-30k cars fail, rising to 16.3% once past 90-120k — 3.1× the risk.
Split by fuel, petrol examples fail 2.0pp more often than hybrid ones (7.5% vs 5.5%) — worth weighing if you have a choice.
Advisories point at the next bill rather than this one: tyres was flagged on 20.0% of tests without failing them.
The trend is worsening — 3.6% of tests failed in 2021 against 9.6% in 2025, the usual pattern as a fleet ages.
How it compares
Top failure categories
| # | Category | % of tests affected | Tests |
|---|---|---|---|
| 1 | Visibility | 4.0% | 636 |
| 2 | Suspension | 2.7% | 426 |
| 3 | Tyres | 2.4% | 375 |
| 4 | Lighting & signalling | 1.9% | 306 |
| 5 | Brakes | 0.7% | 104 |
| 6 | Seat belts & restraints | 0.1% | 20 |
Most common specific failures
The exact components most often recorded as failures — more specific than the categories above.
| # | Failure item | Times recorded |
|---|---|---|
| 1 | Wipers | 695 |
| 2 | Coil spring | 393 |
| 3 | Tread depth | 251 |
| 4 | Headlamp aim | 223 |
| 5 | Washers | 106 |
| 6 | Tyre pressure monitoring system | 61 |
Top advisory categories
Advisories aren't failures, but they flag work likely needed soon — useful when budgeting.
| # | Category | % of tests with advisory | Tests |
|---|---|---|---|
| 1 | Tyres | 20.0% | 3,167 |
| 2 | Brakes | 6.3% | 995 |
| 3 | Other defects | 4.2% | 662 |
| 4 | Suspension | 3.1% | 486 |
| 5 | Visibility | 2.7% | 433 |
| 6 | Steering | 0.5% | 82 |
Failure rate by mileage
Higher-mileage cars tend to fail more — often the most useful guide to real condition.
| Mileage band | Tests | Fail rate |
|---|---|---|
| 0-30k | 11,489 | 5.3% |
| 30-60k | 3,902 | 10.7% |
| 60-90k | 417 | 15.1% |
| 90-120k | 43 | 16.3% |
Failure rate by age
By fuel type
| Fuel | Tests | Fail rate |
|---|---|---|
| Petrol | 11,152 | 7.5% |
| Hybrid | 4,700 | 5.5% |
Trend over time
| Dataset year | Tests | Fail rate |
|---|---|---|
| 2021 | 194 | 3.6% |
| 2022 | 3,879 | 3.5% |
| 2023 | 3,927 | 6.2% |
| 2024 | 3,896 | 8.4% |
| 2025 | 3,958 | 9.6% |
What to check before buying a 2019 Ignis
On a 2019 Ignis, visibility is what the MOT record says goes wrong most — it appeared in 4.0% of tests. Check these areas before you commit.
- Visibility (4.0% of tests): Wipers, washers, mirrors and screen damage — usually inexpensive, but check for chips in the driver's line of sight. Typical repair: £15–£150.
- Suspension (2.7% of tests): Worn drop links, bushes, springs or shocks — listen for knocks over bumps and check for uneven tyre wear. Typical repair: £150–£450 per corner.
- Tyres (2.4% of tests): Usually a quick, known-cost fix, but check tread, age and uneven wear (which can hint at alignment or suspension issues). Typical repair: £50–£120 per tyre.
Repair costs are rough UK ballpark ranges to set expectations, not quotes — actual prices vary widely by car, parts and garage.
Frequently asked questions
How many 2019 Suzuki Igniss pass their MOT?
93.1% of the 15,854 2019 Suzuki Ignis MOT tests in this dataset passed — a 6.9% fail rate.
What is the most common MOT failure on a 2019 Suzuki Ignis?
Visibility, recorded in 4.0% of tests, followed by suspension (2.7%).
Does the 2019 Ignis get worse with mileage?
Its MOT fail rate rises from 5.3% in the 0-30k band to 16.3% in the 90-120k band.
Methodology & source. Based on 15,854 MOT tests. Dataset: DVSA MOT testing data (2021,2022,2023,2024,2025). Data last updated 2026-07-27. Figures reflect MOT-testable defects only — read the methodology for how these are calculated and what they don't measure.