Ford Fusion 2009 MOT pass rate by postcode area
The Ford Fusion 2009 MOT pass rate by postcode area runs from 88.2% in SE down to 66.5% in AB — 21.7 points apart for the same model, the same model year and the same test. Below are all 65 postcode areas that tested enough of them to publish.
What a 21.7-point gap means
Pinned to one model year, this is not a table of old cars: every 2009 Ford Fusion in the data is the same age. Over five annual MOTs the gap between the best and worst area is 1.1 extra failures — about £27–£69 in parts at this model's typical failure cost .
20 of 170 models by how far apart their best and worst postcode area are. Wider: Vauxhall Insignia (21.8). Narrower: Hyundai I30 (21.7).
Rates are for the 2009 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 |
|---|---|---|
| AB | 66.5% | 251 |
| G | 67.9% | 293 |
| EH | 69.9% | 319 |
| YO | 69.9% | 369 |
| DL | 71.2% | 219 |
| PL | 71.3% | 487 |
| SA | 72.4% | 340 |
| LS | 72.4% | 326 |
| TR | 72.8% | 290 |
| BS | 73.0% | 544 |
| TS | 73.1% | 268 |
| CF | 73.3% | 480 |
| CH | 73.4% | 304 |
| BN | 73.8% | 539 |
| NN | 74.0% | 362 |
| ST | 74.1% | 347 |
| TQ | 74.1% | 297 |
| SY | 74.2% | 236 |
| LA | 74.2% | 248 |
| BA | 74.7% | 281 |
| NP | 74.8% | 373 |
| EX | 75.0% | 555 |
| PO | 75.3% | 503 |
| LL | 75.7% | 366 |
| NG | 75.9% | 713 |
| DT | 75.9% | 212 |
| GL | 76.1% | 457 |
| PR | 76.8% | 272 |
| NE | 77.2% | 426 |
| BD | 77.3% | 229 |
| BH | 77.7% | 373 |
| HP | 77.8% | 207 |
| WA | 77.9% | 253 |
| TN | 78.0% | 540 |
| SK | 78.1% | 201 |
| GU | 78.3% | 277 |
| RH | 78.4% | 305 |
| TA | 78.4% | 310 |
| NR | 78.5% | 810 |
| RG | 78.6% | 420 |
| SN | 78.6% | 238 |
| CM | 78.6% | 468 |
| CT | 78.7% | 389 |
| OX | 78.7% | 296 |
| S | 78.8% | 792 |
| M | 79.0% | 386 |
| DN | 79.1% | 407 |
| L | 79.3% | 396 |
| CV | 79.5% | 493 |
| IP | 79.6% | 685 |
| PE | 79.9% | 722 |
| SO | 80.9% | 439 |
| CO | 81.0% | 421 |
| WS | 81.4% | 231 |
| DA | 81.7% | 251 |
| DE | 81.9% | 459 |
| RM | 82.2% | 399 |
| ME | 82.5% | 349 |
| MK | 83.0% | 230 |
| B | 83.1% | 786 |
| SG | 83.3% | 227 |
| WF | 83.3% | 239 |
| LE | 84.3% | 644 |
| SS | 84.3% | 492 |
| SE | 88.2% | 204 |
“vs national” is against this model's own rate across all years (75.5%), 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 13 points above its own all-years national rate.