Mercedes-Benz Vito 2017 MOT pass rate by postcode area
The Mercedes-Benz Vito 2017 MOT pass rate by postcode area runs from 93.3% in EN down to 68.6% in HU — 24.7 points apart for the same model, the same model year and the same test. Below are all 62 postcode areas that tested enough of them to publish.
What a 24.7-point gap means
Pinned to one model year, this is not a table of old cars: every 2017 Mercedes-Benz Vito in the data is the same age. Over five annual MOTs the gap between the best and worst area is 1.2 extra failures — about £48–£122 in parts at this model's typical failure cost .
8 of 170 models by how far apart their best and worst postcode area are. Wider: Honda Civic (25.2). Narrower: Hyundai I20 (24.5).
Rates are for the 2017 model year only, in areas with at least 200 tests of it. Mileage, trim and use are pooled — a city van and a motorway van are one line here. Method. Compare it with the model's full history or this exact year.
Every postcode area, worst first
| Area | Pass rate | Tests |
|---|---|---|
| HU | 68.6% | 207 |
| PO | 71.4% | 266 |
| EH | 72.5% | 403 |
| BN | 72.9% | 340 |
| BH | 73.0% | 204 |
| SO | 73.3% | 322 |
| YO | 73.7% | 262 |
| ST | 74.2% | 260 |
| WS | 74.9% | 219 |
| IP | 75.2% | 238 |
| OX | 75.3% | 376 |
| BS | 75.7% | 404 |
| CF | 75.9% | 394 |
| GL | 76.7% | 270 |
| DN | 77.0% | 357 |
| WA | 77.1% | 236 |
| PR | 77.3% | 255 |
| TN | 77.4% | 332 |
| S | 77.4% | 541 |
| NE | 77.8% | 427 |
| NN | 77.8% | 387 |
| PE | 77.8% | 324 |
| BA | 77.9% | 226 |
| RG | 78.5% | 474 |
| G | 78.6% | 411 |
| LS | 78.9% | 256 |
| NR | 79.0% | 281 |
| L | 79.2% | 360 |
| ME | 79.5% | 327 |
| MK | 79.6% | 289 |
| SK | 80.0% | 215 |
| DE | 80.3% | 290 |
| NG | 80.5% | 405 |
| GU | 80.6% | 278 |
| BL | 81.2% | 266 |
| B | 81.3% | 995 |
| SS | 81.6% | 201 |
| SA | 81.9% | 204 |
| LE | 81.9% | 393 |
| BB | 82.2% | 214 |
| CV | 82.9% | 286 |
| M | 83.5% | 480 |
| HP | 83.6% | 226 |
| CM | 85.1% | 303 |
| KT | 85.8% | 281 |
| CR | 86.9% | 458 |
| LU | 87.1% | 224 |
| BD | 87.1% | 294 |
| RM | 87.8% | 986 |
| TW | 88.3% | 589 |
| SW | 88.8% | 214 |
| NW | 88.9% | 763 |
| N | 88.9% | 912 |
| SL | 89.0% | 435 |
| W | 89.1% | 450 |
| DA | 89.4% | 451 |
| HA | 90.3% | 494 |
| SE | 90.4% | 716 |
| E | 90.9% | 2,698 |
| UB | 92.2% | 895 |
| IG | 92.5% | 737 |
| EN | 93.3% | 508 |
“vs national” is against this model's own rate across all years (78.5%), not against the national rate for all cars — a number that would flatter a new model and punish an old one.
What this cannot tell you
- Which garage to use. There is no test-station field in the anonymised data, so no station is implicated by any of this — why. The station directory lists what is near you.
- That the area causes it. Cars in some areas do more short trips, see more salt, or have owners who wait for an advisory to become a failure. The test cannot separate those.
- Anything about a single car. These are rates over hundreds or thousands of tests, not a prediction for one vehicle — one car with a bad exhaust is one car with a bad exhaust.
For context, this model's best area runs 15 points above its own all-years national rate.