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Dangerous MOT defects: how many cars have them and what they are

7.9% of MOT tests in Great Britain in 2023–24 found at least one dangerous defect — 5,141,819 of 65,477,892 DVSA tests. The commonest was “Tread depth: tread depth below requirements of 1.6mm”, and tyres was the area with the most dangerous-defect tests.

Source: DVSA anonymised MOT data, 2023-01-01 to 2024-12-30 (n = 65,477,892 tests). Download the data (CSV)

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Data to 2024-12-30 · Page updated 2026-09-28 · Publisher: 73 Auto

Key findings

  1. DVSA data5,141,819 MOT tests in 2023–24 found at least one dangerous defect: 7.9% of all tests, about 1 in 13 (DVSA data).
  2. DVSA dataThe most common dangerous MOT defect was “Tread depth: tread depth below requirements of 1.6mm”, on 1,598,898 tests in 2023–24 (DVSA data).
  3. DVSA dataTyres accounted for more dangerous-defect tests than any other area: 3,164,027, or 61.5% of tests with a dangerous defect (DVSA data).
  4. DVSA data4.2% of MOT tests on 3-year-old cars found a dangerous defect, rising to 10.9% at 15 years (DVSA data, 2023–24).
  5. 73 Auto analysisAllowing for age, mileage and fuel, SsangYong cars had dangerous defects at 1.56 times the rate of comparable cars and Aston Martin at 0.31, the extremes of 45 makes (73 Auto analysis).

At a glance

Dangerous MOT defects: how many cars have them and what they are: headline figures
FigureValueBasisType
Tests with a dangerous defect5,141,819of 65,477,892 testsDVSA data
Share of tests7.9%2023–24DVSA data
At 3 years / at 15 years4.2% / 10.9%n = 3,907,416 / 2,510,983DVSA data

Official data

Counts and rates taken directly from DVSA's MOT records: 73 Auto counted them, but applied no model or adjustment.

Dangerous defects by test area

DVSA data

MOT tests with a dangerous defect, by area
AreaTests with a dangerous defect hereShare of all testsShare of dangerous-defect tests
Tyres3,164,0274.83%61.5%
Brakes1,719,9122.63%33.4%
Suspension331,3230.51%6.4%
Body, chassis and structure122,4250.19%2.4%
Lights, reflectors and electrical92,6740.14%1.8%
Steering65,8040.10%1.3%
Road wheels47,6260.07%0.9%
Seat belts and airbags22,0690.03%0.4%
Noise, emissions and leaks21,5950.03%0.4%
Driver's view of the road8,6160.01%0.2%
A test with dangerous defects in two areas counts in both, so the last column adds up to more than 100%.

The most common dangerous defects

DVSA data

Most common dangerous MOT defects
Defect (DVSA wording)AreaTestsShare of all tests
Tread depth: tread depth below requirements of 1.6mmTyres1,598,8982.44%
Brake pads: less than 1.5 mm thickBrakes1,239,5141.89%
Condition: has ply or cords exposedTyres888,5831.36%
Condition: has a tear, caused by separation or partial failure of its structureTyres369,6080.56%
Condition: has a bulge, caused by separation or partial failure of its structureTyres306,0110.47%
Rbt (sp): efficiency less than 50% of the required valueBrakes185,7350.28%
Brake discs: in such a condition that it is seriously weakenedBrakes165,0440.25%
Condition: has a lump, caused by separation or partial failure of its structureTyres118,8790.18%
Tread depth: tread pattern not visible over the whole tread area when minimum depth required is 1.0mmTyres82,0500.13%
Stop lamp: all not workingLights, reflectors and electrical69,9570.11%
Ball joint: ball joint likely to become detachedSuspension68,0460.10%
Rigid brake pipes: leaking on a hydraulic braking systemBrakes53,1780.08%
Service brake imbalance: across an axle by more than 50%Brakes45,0410.07%
Track rod end: ball joint worn to the extent there is a serious risk of detachmentSteering44,2490.07%
Pins and bushes: pin or bush likely to become detachedSuspension42,0960.06%
Condition: has ply or cords damagedTyres39,7290.06%
Linkage: fracturedSuspension33,3860.05%
Condition: fracturedRoad wheels30,7440.05%
Service brake performance: has no recorded effort at a wheelBrakes24,8920.04%
Condition: webbing significantly weakenedSeat belts and airbags19,0830.03%

Dangerous defects by age

DVSA data

Share of MOT tests with a dangerous defect, by age
Age at testTestsDangerous defect
3 years3,907,4164.2%
4 years4,633,6235.0%
5 years4,808,6695.8%
6 years5,056,3326.4%
7 years5,283,5346.8%
8 years5,152,3847.4%
9 years4,706,0878.1%
10 years4,163,6238.8%
11 years3,650,4139.4%
12 years3,355,33210.0%
13 years3,175,83010.4%
14 years2,802,86010.6%
15 years2,510,98310.9%
16 years2,298,70811.0%
17 years1,826,89510.9%
18 years1,392,71610.8%
19 years1,063,14010.5%
20 years793,83410.1%

Dangerous defects by mileage

DVSA data

Share of MOT tests with a dangerous defect, by mileage
Recorded mileageTestsDangerous defect
under 40k14,349,5253.9%
40k-80k23,289,0057.4%
80k-120k15,109,79510.3%
120k+9,784,10412.0%
Ages 3 and over with a recorded mileage.

73 Auto analysis

Figures 73 Auto derived from the same records: adjusted ratios, intervals and rankings, explained in the method below.

Dangerous defects by fuel, ages 3–10

73 Auto analysisThe rate is a DVSA count; the ratio (73 Auto analysis) compares it with the national rate for tests of the same age and mileage band.

Dangerous-defect rate and ratio by fuel
FuelTestsDangerous defectVs same age and mileage
Petrol19,069,4515.9%1.02
Diesel16,627,2447.7%1.00
Hybrid1,473,9504.4%0.72
Electric330,1806.3%1.26

Makes with the lowest and highest dangerous-defect ratios

73 Auto analysisFive lowest and five highest of 45 makes with 20,000+ tests, adjusted for age, mileage and fuel.

Car makes by adjusted dangerous-defect ratio
MakeTestsDangerous defectVs similar cars
Aston Martin43,5711.5%0.31
Bentley44,4442.6%0.46
Porsche346,5503.4%0.51
Subaru120,1275.7%0.64
London Taxis International28,4147.9%0.71
Kia1,822,1298.2%1.21
DS86,5327.5%1.25
Chevrolet123,72711.3%1.32
Tesla129,23210.3%1.51
SsangYong47,64710.2%1.56

Method

Source: DVSA's anonymised MOT tests and results for 2023-01-01 to 2024-12-30, published under the Open Government Licence v3.0. 73 Auto counted every record itself; no figure is taken from a secondary report.

Scope: class 4 vehicles (cars and light vans), normal tests only (retests excluded), vehicles at least 2.5 years old at test, whose make matches 73 Auto's vehicle catalogue: 65,477,892 tests in 2023–24.

First-time pass rate: the share of normal tests with the result Pass. A test where a defect was fixed at the station and the car passed the same day (PRS, pass after rectification) counts as an initial fail, as DVSA counts it.

Failure areas and items: a test counts once for an area or item if it had at least one fail-level (Major or Dangerous, or pre-2018 fail) defect in it, however many locations were affected. Advisories and minor defects are not failures.

A dangerous defect is DVSA's highest deficiency category since May 2018: the vehicle is a direct and immediate risk to road safety or the environment and must not be driven until repaired. A test counts once however many dangerous defects it had.

Adjusted ratio (observed ÷ expected, O/E): indirect standardisation. Each test is given the national failure rate for tests of the same age in whole years, mileage band and fuel; summing those gives the failures a group would have had if it failed like the average comparable car. O/E = actual failures ÷ expected failures, so 1.00 is average for comparable cars and 0.80 means 20% fewer failures. It removes most of the effect of an older or higher-mileage fleet, not differences in how cars are looked after.

Publication test: At least 100,000 tests with a dangerous defect; makes with 20,000+ tests. Tests with a dangerous defect: 5,141,819 (minimum 100,000).

Limitations

Pre-May-2018 defect codes had no 'dangerous' grade; a small number of tests recorded against the old codes cannot show one.

An MOT result records a car's condition on test day. Servicing, owners' habits, annual mileage and where the car is driven all affect it, so a low failure rate is not proof of mechanical reliability or build quality.

Citing this study

Cite as: 73 Auto, “Dangerous MOT defects: how many cars have them and what they are”, 2026-09-28, https://73auto.com/research/dangerous-mot-defects-statistics. Based on DVSA anonymised MOT tests and results, Open Government Licence v3.0. The data behind every table is free to reuse with attribution.

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Where these figures come from

Figures labelled as 73 Auto estimates are our own analysis of these sources, set out in the methodology and data sources. To report a factual error, see corrections.