Levc Tx MOT reliability

Levc Txs passed their MOT first time 91% of the time across 17,210 tests in 2025.

Example photo of a Levc Tx — Photo: Alexander Migl · CC BY-SA 4.0 · Wikimedia Commons

First-time pass rate

91%

MOTs analysed

17,210

Still licensed (GB)

–

Body type

Sedan

Pass rate by year of first registration

Older cars fail more often, so compare a car with others of the same age. Years with very few MOTs can show extreme pass rates, even 0% or 100%, so give more weight to years with more tests.

In detail:

First registered

2022 hybrid

3,049 MOTs

Passed first time 89%. Typical mileage 73,484 (most between 58,986 and 90,128).

2022: 94% → 2023: 93% → 2024: 92% → 2025: 89%

Combined model spellings: TX, UNCLASSIFIED. Mileage percentiles and individual failure rankings are unavailable for this combined group.

Most common failures

Wipers: does not clear the windscreen effectively (3.0%)
Pins and bushes: pin or bush excessively worn (2.6%)
Tread depth below requirements of 1.6mm (1.1%)
Malfunction indicator lamp: inoperative or indicates a malfunction (1.0%)
Headlamp aim: too low (0.7%)

2022 electric

14 MOTs

These figures come from only 14 MOT tests. With so few cars, a single pass or fail changes the percentages a lot, so treat them as a rough guide rather than a true average.

Passed first time 93%. Typical mileage 104,691 (most between 94,590 and 150,036).

2022: 100% → 2023: 100% → 2024: 100% → 2025: 93%

Most common failures

Door condition: cannot be opened from inside the vehicle (7.1%)

Where 2022 Txs fail

Visibility & wipers

3.8%

Suspension & axles

2.9%

Wheels & tyres

2.8%

Lights & electrics

1.4%

Brakes

1.0%

Exhaust, emissions & leaks

1.0%

Body, structure & corrosion

0.2%

Steering

0.1%

Looking at a particular car?

See its own MOT history, mileage and red flags, compared with these figures. Free.

Based on 2025 initial MOT tests in DVSA's anonymised MOT dataset (cars and light vans). Contains public sector information licensed under the Open Government Licence v3.0. Model details: Vehicle data by VehiclesDB.