2019 Nissan Cube — MOT failures & pass rate

569 MOT tests on the 2019 Nissan Cube are in this dataset, and 82.1% of them passed. Against all cars of a similar age (9.2% fail rate), the 2019 Cube comes out 8.8pp worse. Failures cluster in lighting & signalling, visibility and suspension.

82%
Pass rate
569
MOT tests analysed
17.9%
Fail rate
worse than
vs cars of similar age
3.9
Avg age at test (yrs)

What the MOT record shows

Lighting & signalling dominates the failure mix at 15.3% of all tests — 9.5 points clear of visibility, so it is the first thing to check.

At component level the recurring items are rear fog lamp, washers and headlamp — rear fog lamp alone was recorded 46 times.

Condition tracks the odometer closely. Failures run at 7.6% in the 30-60k band and 33.3% in the 150k+ band, a 25.7-point spread — more than double.

Advisories point at the next bill rather than this one: tyres was flagged on 24.8% of tests without failing them.

The trend is worsening — 14.2% of tests failed in 2021 against 23.2% in 2025, the usual pattern as a fleet ages.

How it compares

Fail rate vs benchmarks (lower is better) 2019 Cube 17.9% cars avg 9.7% National avg 9.2%
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 Nissan Cube
# Category % of tests affected Tests
1 Lighting & signalling 15.3% 87
2 Visibility 5.8% 33
3 Suspension 5.3% 30
4 Brakes 4.8% 27
5 Tyres 2.6% 15
6 Body, structure & corrosion 1.8% 10
Share of tests failing on each category Lighting & signalling 15.3% Visibility 5.8% Suspension 5.3% Brakes 4.8% Tyres 2.6% Body, structure & corrosion 1.8%
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 Nissan Cube
#Failure itemTimes recorded
1Rear fog lamp46
2Washers22
3Headlamp22
4Position lamp21
5Headlamp aim19
6Wipers14

Top advisory categories

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

Most common MOT advisories — 2019 Nissan Cube
# Category % of tests with advisory Tests
1 Tyres 24.8% 141
2 Brakes 20.9% 119
3 Suspension 20.2% 115
4 Lighting & signalling 7.7% 44
5 Other defects 6.2% 35
6 Visibility 3.9% 22

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 30-60k 7.6% 60-90k 18.3% 90-120k 17.0% 120-150k 23.9% 150k+ 33.3%
MOT fail rate by recorded mileage band.
Fail rate by recorded mileage — 2019 Cube
Mileage band Tests Fail rate
30-60k 92 7.6%
60-90k 202 18.3%
90-120k 159 17.0%
120-150k 67 23.9%
150k+ 42 33.3%

Failure rate by age

MOT fail rate by vehicle age at test 2 yrs 14.2% 3 yrs 15.6% 4 yrs 17.4% 5 yrs 21.0% 6 yrs 23.2%
How this model-year's MOT fail rate climbs as the cars get older.

Trend over time

Fail rate by dataset year — 2019 Cube
Dataset year Tests Fail rate
2021 120 14.2%
2022 122 15.6%
2023 132 17.4%
2024 100 21.0%
2025 95 23.2%

What to check before buying a 2019 Cube

On a 2019 Cube, lighting & signalling is what the MOT record says goes wrong most — it appeared in 15.3% of tests. Check these areas before you commit.

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 Nissan Cubes pass their MOT?

82.1% of the 569 2019 Nissan Cube MOT tests in this dataset passed — a 17.9% fail rate.

What is the most common MOT failure on a 2019 Nissan Cube?

Lighting & signalling, recorded in 15.3% of tests, followed by visibility (5.8%).

Does the 2019 Cube get worse with mileage?

Its MOT fail rate rises from 7.6% in the 30-60k band to 33.3% in the 150k+ band.

Methodology & source. Based on 569 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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