Mercedes-Benz B-Class 2014 MOT pass rate by postcode area
The Mercedes-Benz B-Class 2014 MOT pass rate by postcode area runs from 87.0% in LU down to 77.1% in NN — 9.8 points apart for the same model, the same model year and the same test. Below are all 61 postcode areas that tested enough of them to publish.
What a 9.8-point gap means
Pinned to one model year, this is not a table of old cars: every 2014 Mercedes-Benz B-Class in the data is the same age. Over five annual MOTs the gap between the best and worst area is 0.5 extra failures — about £16–£43 in parts at this model's typical failure cost .
158 of 170 models by how far apart their best and worst postcode area are. Wider: BMW 118 (10.1). Narrower: Mercedes-Benz Gla (9.3).
Rates are for the 2014 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 |
|---|---|---|
| NN | 77.1% | 389 |
| CO | 77.2% | 316 |
| BS | 77.4% | 504 |
| WA | 77.7% | 359 |
| CB | 78.1% | 269 |
| PL | 78.2% | 371 |
| G | 78.4% | 425 |
| PO | 78.4% | 532 |
| DY | 78.9% | 251 |
| NR | 79.3% | 450 |
| NE | 79.4% | 418 |
| SN | 79.9% | 323 |
| CT | 79.9% | 323 |
| CH | 79.9% | 333 |
| TN | 79.9% | 394 |
| SO | 80.0% | 454 |
| OX | 80.1% | 361 |
| EH | 80.1% | 302 |
| HP | 80.2% | 398 |
| BN | 80.4% | 414 |
| SA | 80.7% | 295 |
| LS | 80.7% | 347 |
| TS | 80.7% | 259 |
| BH | 80.7% | 425 |
| CM | 80.8% | 407 |
| RH | 80.9% | 293 |
| YO | 80.9% | 241 |
| CF | 81.0% | 610 |
| EX | 81.2% | 329 |
| NP | 81.3% | 246 |
| S | 81.5% | 557 |
| IP | 81.7% | 349 |
| PE | 81.7% | 569 |
| NG | 81.8% | 598 |
| TQ | 81.9% | 204 |
| GL | 81.9% | 331 |
| L | 82.1% | 576 |
| MK | 82.2% | 421 |
| SG | 82.2% | 214 |
| SK | 82.3% | 282 |
| RG | 82.3% | 599 |
| BL | 82.4% | 227 |
| GU | 83.0% | 452 |
| DE | 83.1% | 456 |
| LL | 83.4% | 253 |
| DN | 83.5% | 393 |
| SS | 83.8% | 303 |
| ST | 84.0% | 318 |
| BA | 84.1% | 239 |
| PR | 84.4% | 262 |
| WV | 84.4% | 289 |
| B | 84.5% | 859 |
| LE | 84.6% | 577 |
| WS | 85.2% | 324 |
| SL | 85.4% | 261 |
| WF | 86.0% | 200 |
| KT | 86.1% | 281 |
| M | 86.3% | 663 |
| ME | 86.3% | 373 |
| CV | 86.6% | 411 |
| LU | 87.0% | 230 |
“vs national” is against this model's own rate across all years (79.9%), 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 7 points above its own all-years national rate.