Skoda Superb 2017 MOT pass rate by postcode area
The Skoda Superb 2017 MOT pass rate by postcode area runs from 92.4% in E down to 78.8% in AB — 13.7 points apart for the same model, the same model year and the same test. Below are all 66 postcode areas that tested enough of them to publish.
What a 13.7-point gap means
Pinned to one model year, this is not a table of old cars: every 2017 Skoda Superb in the data is the same age. Over five annual MOTs the gap between the best and worst area is 0.7 extra failures — about £28–£71 in parts at this model's typical failure cost .
125 of 170 models by how far apart their best and worst postcode area are. Wider: Honda Hr-V (13.7). Narrower: Toyota C-Hr (13.6).
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 |
|---|---|---|
| AB | 78.8% | 339 |
| EH | 79.9% | 556 |
| LE | 80.0% | 604 |
| EX | 80.6% | 206 |
| BS | 81.0% | 537 |
| KA | 81.6% | 206 |
| CF | 82.3% | 402 |
| SP | 82.4% | 222 |
| LN | 83.0% | 276 |
| BH | 83.1% | 237 |
| CO | 83.5% | 242 |
| NG | 83.6% | 573 |
| CH | 84.0% | 475 |
| BA | 84.3% | 281 |
| G | 84.6% | 551 |
| CW | 84.7% | 222 |
| GU | 84.8% | 564 |
| BN | 84.8% | 309 |
| WS | 84.9% | 225 |
| PO | 84.9% | 404 |
| OL | 85.1% | 242 |
| ST | 85.2% | 331 |
| YO | 85.6% | 299 |
| LS | 85.8% | 302 |
| NN | 85.8% | 436 |
| BL | 85.9% | 263 |
| GL | 86.1% | 359 |
| RG | 86.2% | 589 |
| SG | 86.4% | 220 |
| OX | 86.5% | 512 |
| NR | 86.5% | 342 |
| SO | 86.8% | 538 |
| BD | 86.9% | 245 |
| WR | 87.0% | 223 |
| CV | 87.2% | 453 |
| NP | 87.2% | 258 |
| SY | 87.2% | 219 |
| IP | 87.2% | 352 |
| WA | 87.3% | 284 |
| S | 87.4% | 993 |
| DN | 87.4% | 437 |
| CB | 87.6% | 347 |
| TS | 87.8% | 336 |
| SK | 87.8% | 312 |
| NE | 88.1% | 989 |
| DE | 88.3% | 392 |
| CT | 88.3% | 283 |
| SA | 88.6% | 281 |
| WF | 88.6% | 290 |
| M | 88.6% | 387 |
| TN | 88.7% | 398 |
| LL | 88.7% | 293 |
| PE | 89.0% | 617 |
| B | 89.1% | 917 |
| MK | 89.1% | 313 |
| CM | 89.2% | 296 |
| PR | 89.4% | 320 |
| KT | 89.4% | 208 |
| RH | 89.7% | 341 |
| BB | 89.9% | 306 |
| SN | 90.0% | 309 |
| L | 90.4% | 335 |
| HP | 90.4% | 356 |
| DL | 91.3% | 241 |
| ME | 91.4% | 314 |
| E | 92.4% | 251 |
“vs national” is against this model's own rate across all years (84.0%), 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 8 points above its own all-years national rate.