2019 BMW X6 — MOT failures & pass rate

Across 3,029 MOT tests, the 2019 BMW X6 recorded an 89.4% pass rate. That is effectively the same as large SUVs of a similar age (9.7% fail rate), so the MOT record here is unremarkable in either direction. Failures cluster in tyres, visibility and lighting & signalling.

89%
Pass rate
3,029
MOT tests analysed
10.6%
Fail rate
in line with
vs large SUVs of similar age
4.4
Avg age at test (yrs)

What the MOT record shows

One area stands out: tyres, recorded in 6.2% of tests against 2.8% for the next-worst category.

At component level the recurring items are wipers, tread depth and malfunction indicator lamp — wipers alone was recorded 83 times.

Mileage matters less than usual here: the 2019 X6 fails 9.3% of the time in the 0-30k band and 9.8% at 90-120k, a spread of only 0.6 points.

Tyres is the most common advisory, noted on 17.7% of tests — work that passed today but is likely due soon.

The trend is worsening — 4.2% of tests failed in 2021 against 9.2% in 2025, the usual pattern as a fleet ages.

How it compares

Fail rate vs benchmarks (lower is better) 2019 X6 10.6% large SUVs avg 9.7% National avg 10.0%
Fail rate for this model-year against the segment and national averages for cars of a similar age.

Top failure categories

Most common MOT failure areas — 2019 BMW X6
# Category % of tests affected Tests
1 Tyres 6.2% 189
2 Visibility 2.8% 84
3 Lighting & signalling 1.3% 38
4 Emissions & environmental 1.2% 36
5 Brakes 0.8% 25
6 Other defects 0.8% 23
Share of tests failing on each category Tyres 6.2% Visibility 2.8% Lighting & signalling 1.3% Emissions & environmental 1.2% Brakes 0.8% Other defects 0.8%
Percentage of tests with at least one failure recorded in each category.

Most common specific failures

The exact components most often recorded as failures — more specific than the categories above.

Most frequently recorded failure items — 2019 BMW X6
#Failure itemTimes recorded
1Wipers83
2Tread depth46
3Malfunction indicator lamp36
4Registration plates35
5Headlamp aim30
6Attachment19

Top advisory categories

Advisories aren't failures, but they flag work likely needed soon — useful when budgeting.

Most common MOT advisories — 2019 BMW X6
# Category % of tests with advisory Tests
1 Tyres 17.7% 536
2 Brakes 7.1% 215
3 Other defects 6.4% 193
4 Visibility 2.7% 82
5 Suspension 2.1% 62
6 Emissions & environmental 0.9% 28

Failure rate by mileage

Higher-mileage cars tend to fail more — often the most useful guide to real condition.

MOT fail rate by recorded mileage 0-30k 9.3% 30-60k 10.8% 60-90k 13.1% 90-120k 9.8%
MOT fail rate by recorded mileage band.
Fail rate by recorded mileage — 2019 X6
Mileage band Tests Fail rate
0-30k 961 9.3%
30-60k 1,533 10.8%
60-90k 473 13.1%
90-120k 61 9.8%

Failure rate by age

MOT fail rate by vehicle age at test 2 yrs 4.2% 3 yrs 13.6% 4 yrs 10.3% 5 yrs 9.7% 6 yrs 9.2%
How this model-year's MOT fail rate climbs as the cars get older.

By fuel type

Fail rate by fuel type — 2019 X6
Fuel Tests Fail rate
Diesel 2,880 10.8%
Petrol 149 7.4%

Trend over time

Fail rate by dataset year — 2019 X6
Dataset year Tests Fail rate
2021 72 4.2%
2022 792 13.6%
2023 751 10.3%
2024 720 9.7%
2025 694 9.2%

What to check before buying a 2019 X6

The failure pattern for this year is specific enough to inspect against: tyres accounted for 6.2% of tests. Start there.

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 BMW X6s pass their MOT?

89.4% of the 3,029 2019 BMW X6 MOT tests in this dataset passed — a 10.6% fail rate.

What is the most common MOT failure on a 2019 BMW X6?

Tyres, recorded in 6.2% of tests, followed by visibility (2.8%).

Does the 2019 X6 get worse with mileage?

Its MOT fail rate rises from 9.3% in the 0-30k band to 9.8% in the 90-120k band.

Methodology & source. Based on 3,029 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.

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