MOT pass rate in Southall (UB)
MOT tests in 2025, published 22 Jun 2026. DVSA publishes a new year each summer.
204,599 cars had an MOT at test stations in the UB postcode area in 2025 and 79.3% passed first time. Against cars of the same ages across Great Britain that is above average, ranking 2 of 118 areas.
By age
The pass rate for each age band, with a tick for all cars that age across Great Britain.
| Item | Southall | Great Britain |
|---|---|---|
| 3-5 years | 89.4% | 87.2% |
| 6-8 years | 85.9% | 80.9% |
| 9-11 years | 80.9% | 71.9% |
| 12-14 years | 73.0% | 63.7% |
| 15-17 years | 68.7% | 58.3% |
| 18-20 years | 65.9% | 57.3% |
| 21+ years | 70.3% | 62.2% |
Source: DVSA, tests in 2025, published 22 June 2026.
Cars aged 9 to 11 tested here had typically covered 75,800 miles, against 73,500 miles across Great Britain.
Where cars fail here
The share of cars tested with a failure in each area, against Great Britain as a whole.
| Item | Southall | Great Britain |
|---|---|---|
| Lamps, reflectors and electrical equipment | 9.6% | 10.6% |
| Tyres | 4.5% | 6.2% |
| Suspension | 3.7% | 9.0% |
| Visibility | 3.5% | 4.3% |
| Brakes | 3.3% | 6.2% |
| Noise, emissions and leaks | 2.3% | 3.1% |
Source: DVSA, tests in 2025, published 22 June 2026.
Nearby in the table
| Area | Age-adjusted | Vs same-age cars |
|---|---|---|
| 1. Sutton (SM) | 79.9% | 7.6 pts better |
| 2. Southall (UB) | 79.4% | 7.2 pts better |
| 3. Slough (SL) | 78.9% | 6.6 pts better |
| 4. Romford (RM) | 78.3% | 6.1 pts better |
| 5. Ilford (IG) | 78.3% | 6.1 pts better |
Source: DVSA, tests in 2025, published 22 June 2026.
Checking one car?
These figures describe groups of cars. A vehicle history report shows the full MOT history, mileage, outstanding finance, write-offs and stolen records for one registration.
Figures from the DVSA anonymised MOT testing data for MOT tests in 2025, published by the Driver and Vehicle Standards Agency. Analysis by Motoring Insider. Contains public sector information licensed under the Open Government Licence v3.0. How we work out these figures.
Every dataset we use is listed on our data sources page, with the credit lines on our attribution page.