Fiat Punto 2007 MOT pass rate by postcode area
The Fiat Punto 2007 MOT pass rate by postcode area runs from 82.1% in EN down to 60.5% in BA — 21.6 points apart for the same model, the same model year and the same test. Below are all 75 postcode areas that tested enough of them to publish.
What a 21.6-point gap means
Pinned to one model year, this is not a table of old cars: every 2007 Fiat Punto 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 £28–£87 in parts at this model's typical failure cost .
24 of 170 models by how far apart their best and worst postcode area are. Wider: Suzuki Alto (21.7). Narrower: Nissan Juke (21.6).
Rates are for the 2007 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 |
|---|---|---|
| BA | 60.5% | 266 |
| KY | 60.6% | 218 |
| PL | 61.1% | 373 |
| LN | 61.4% | 342 |
| YO | 61.6% | 331 |
| NP | 62.6% | 318 |
| BH | 63.4% | 265 |
| SA | 63.6% | 324 |
| CH | 64.3% | 462 |
| EX | 64.4% | 284 |
| CF | 64.7% | 464 |
| BS | 64.7% | 575 |
| HU | 64.9% | 476 |
| G | 64.9% | 405 |
| EH | 65.8% | 333 |
| BN | 65.8% | 474 |
| GL | 66.6% | 410 |
| FY | 66.7% | 237 |
| CT | 66.8% | 295 |
| PO | 66.9% | 468 |
| SO | 67.1% | 240 |
| LL | 67.2% | 421 |
| DN | 67.3% | 759 |
| WA | 67.7% | 538 |
| SN | 67.7% | 223 |
| BD | 68.1% | 254 |
| NG | 68.2% | 848 |
| PR | 68.3% | 401 |
| PE | 68.5% | 740 |
| HP | 68.7% | 246 |
| CW | 69.1% | 220 |
| NN | 69.2% | 613 |
| OX | 69.3% | 241 |
| ST | 69.3% | 958 |
| DE | 69.6% | 596 |
| LS | 69.8% | 486 |
| CO | 70.0% | 230 |
| TN | 70.1% | 428 |
| NE | 70.2% | 450 |
| TS | 70.3% | 397 |
| CM | 70.4% | 267 |
| GU | 70.4% | 338 |
| OL | 70.7% | 382 |
| SY | 70.7% | 222 |
| WN | 70.8% | 284 |
| TF | 70.9% | 203 |
| BL | 71.0% | 338 |
| NR | 71.1% | 530 |
| SK | 71.2% | 437 |
| RH | 71.2% | 365 |
| WS | 71.3% | 484 |
| WF | 71.5% | 509 |
| IP | 71.6% | 366 |
| MK | 71.9% | 295 |
| M | 71.9% | 1,006 |
| CV | 72.1% | 707 |
| WV | 72.3% | 332 |
| LE | 72.5% | 708 |
| RG | 72.6% | 394 |
| DY | 72.8% | 324 |
| S | 73.3% | 1,087 |
| L | 73.4% | 507 |
| SS | 73.5% | 245 |
| ME | 73.6% | 387 |
| BB | 74.7% | 367 |
| TW | 76.9% | 264 |
| B | 77.4% | 1,179 |
| SL | 78.1% | 247 |
| LU | 79.1% | 225 |
| E | 79.5% | 205 |
| CR | 80.2% | 232 |
| DA | 80.8% | 208 |
| SE | 80.8% | 349 |
| N | 81.1% | 243 |
| EN | 82.1% | 274 |
“vs national” is against this model's own rate across all years (72.5%), 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 10 points above its own all-years national rate.