2019 Nissan Leaf — MOT failures & pass rate

Across 23,607 MOT tests, the 2019 Nissan Leaf recorded a 91.7% pass rate. Small family cars of a similar age fail 9.5% of the time, so this is 1.2pp better than the group it competes with. Failures cluster in tyres, visibility and lighting & signalling.

92%
Pass rate
23,607
MOT tests analysed
8.3%
Fail rate
better than
vs small family cars of similar age
4.4
Avg age at test (yrs)

What the MOT record shows

No single area dominates — tyres (4.7%) and visibility (2.4%) are close, so failures are spread across several systems rather than one weak point.

At component level the recurring items are wipers, tread depth and ball joint — wipers alone was recorded 567 times.

Mileage is the strongest signal on the record: 4.8% of 0-30k cars fail, rising to 20.2% once past 150k — 4.2× the risk.

Tyres is the most common advisory, noted on 20.8% of tests — work that passed today but is likely due soon.

The trend is worsening — 4.6% of tests failed in 2021 against 11.8% in 2025, the usual pattern as a fleet ages.

How it compares

Fail rate vs benchmarks (lower is better) 2019 Leaf 8.3% small family cars avg 9.5% 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 Nissan Leaf
# Category % of tests affected Tests
1 Tyres 4.7% 1,098
2 Visibility 2.4% 569
3 Lighting & signalling 2.1% 504
4 Suspension 1.6% 378
5 Brakes 1.3% 302
6 Seat belts & restraints 0.3% 63
Share of tests failing on each category Tyres 4.7% Visibility 2.4% Lighting & signalling 2.1% Suspension 1.6% Brakes 1.3% Seat belts & restraints 0.3%
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 Leaf
#Failure itemTimes recorded
1Wipers567
2Tread depth499
3Ball joint301
4Headlamp aim223
5Washers161
6Headlamp150

Top advisory categories

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

Most common MOT advisories — 2019 Nissan Leaf
# Category % of tests with advisory Tests
1 Tyres 20.8% 4,911
2 Brakes 12.1% 2,861
3 Other defects 5.5% 1,307
4 Suspension 4.1% 965
5 Visibility 3.4% 805
6 Road wheels 1.1% 255

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 4.8% 30-60k 10.1% 60-90k 12.9% 90-120k 16.3% 120-150k 17.0% 150k+ 20.2%
MOT fail rate by recorded mileage band.
Fail rate by recorded mileage — 2019 Leaf
Mileage band Tests Fail rate
0-30k 11,102 4.8%
30-60k 8,525 10.1%
60-90k 2,558 12.9%
90-120k 977 16.3%
120-150k 330 17.0%
150k+ 114 20.2%

Failure rate by age

MOT fail rate by vehicle age at test 2 yrs 4.6% 3 yrs 5.4% 4 yrs 7.1% 5 yrs 9.8% 6 yrs 11.8%
How this model-year's MOT fail rate climbs as the cars get older.

Trend over time

Fail rate by dataset year — 2019 Leaf
Dataset year Tests Fail rate
2021 1,111 4.6%
2022 5,730 5.4%
2023 5,625 7.1%
2024 5,541 9.8%
2025 5,600 11.8%

What to check before buying a 2019 Leaf

The failure pattern for this year is specific enough to inspect against: tyres accounted for 4.7% 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 Nissan Leafs pass their MOT?

91.7% of the 23,607 2019 Nissan Leaf MOT tests in this dataset passed — a 8.3% fail rate.

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

Tyres, recorded in 4.7% of tests, followed by visibility (2.4%).

Does the 2019 Leaf get worse with mileage?

Its MOT fail rate rises from 4.8% in the 0-30k band to 20.2% in the 150k+ band.

Methodology & source. Based on 23,607 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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