BMW X5 2019 MOT pass rate by postcode area
The BMW X5 2019 MOT pass rate by postcode area runs from 98.2% in E down to 80.3% in WV — 17.9 points apart for the same model, the same model year and the same test. Below are all 64 postcode areas that tested enough of them to publish.
What a 17.9-point gap means
Pinned to one model year, this is not a table of old cars: every 2019 BMW X5 in the data is the same age. Over five annual MOTs the gap between the best and worst area is 0.9 extra failures — about £38–£100 in parts at this model's typical failure cost .
67 of 170 models by how far apart their best and worst postcode area are. Wider: BMW 116 (18). Narrower: Saab 9-3 (17.9).
Rates are for the 2019 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 |
|---|---|---|
| WV | 80.3% | 218 |
| IP | 84.1% | 232 |
| WD | 84.4% | 243 |
| TN | 84.6% | 364 |
| BS | 84.8% | 270 |
| PO | 85.0% | 226 |
| GU | 85.8% | 530 |
| SW | 85.9% | 262 |
| AB | 85.9% | 348 |
| BN | 86.1% | 296 |
| EH | 86.3% | 342 |
| RG | 86.5% | 511 |
| NG | 86.7% | 451 |
| SK | 86.7% | 241 |
| ML | 86.7% | 226 |
| HP | 87.0% | 384 |
| WA | 87.0% | 316 |
| YO | 87.3% | 283 |
| RH | 87.5% | 328 |
| CM | 87.9% | 422 |
| SN | 88.4% | 258 |
| MK | 88.6% | 341 |
| M | 88.7% | 417 |
| PR | 88.7% | 355 |
| LU | 89.0% | 290 |
| GL | 89.0% | 281 |
| S | 89.0% | 502 |
| IG | 89.4% | 436 |
| SG | 89.5% | 239 |
| CR | 89.5% | 220 |
| HA | 89.6% | 201 |
| BB | 89.8% | 361 |
| UB | 89.8% | 255 |
| CH | 90.0% | 229 |
| LE | 90.0% | 431 |
| DE | 90.2% | 285 |
| SL | 90.2% | 388 |
| B | 90.5% | 991 |
| G | 90.6% | 680 |
| SO | 90.6% | 224 |
| DA | 90.7% | 204 |
| SS | 90.9% | 220 |
| KT | 91.0% | 434 |
| LS | 91.2% | 373 |
| OX | 91.2% | 260 |
| CV | 91.5% | 446 |
| RM | 91.8% | 501 |
| CF | 91.9% | 270 |
| NW | 92.0% | 314 |
| NE | 92.3% | 441 |
| TW | 92.3% | 325 |
| BD | 92.7% | 329 |
| BL | 92.7% | 247 |
| NN | 92.7% | 275 |
| PE | 92.8% | 489 |
| EN | 92.9% | 268 |
| L | 93.0% | 357 |
| OL | 93.0% | 230 |
| SE | 93.5% | 232 |
| DN | 94.5% | 237 |
| TS | 94.7% | 281 |
| WF | 94.7% | 228 |
| N | 95.2% | 208 |
| E | 98.2% | 281 |
“vs national” is against this model's own rate across all years (84.2%), 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 14 points above its own all-years national rate.