SEAT Ateca 2019 MOT pass rate by postcode area
The SEAT Ateca 2019 MOT pass rate by postcode area runs from 96.0% in LA down to 86.9% in NN — 9.1 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 9.1-point gap means
Pinned to one model year, this is not a table of old cars: every 2019 SEAT Ateca 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 £18–£45 in parts at this model's typical failure cost .
164 of 170 models by how far apart their best and worst postcode area are. Wider: SEAT Arona (9.1). Narrower: Skoda Karoq (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 |
|---|---|---|
| NN | 86.9% | 474 |
| KA | 87.3% | 237 |
| LE | 87.4% | 690 |
| HD | 88.1% | 268 |
| G | 88.2% | 938 |
| KY | 88.6% | 281 |
| PA | 88.7% | 373 |
| LS | 89.0% | 555 |
| TW | 89.3% | 337 |
| AB | 89.5% | 391 |
| TN | 89.6% | 691 |
| CA | 89.6% | 570 |
| LL | 89.8% | 314 |
| CH | 90.0% | 231 |
| LU | 90.2% | 225 |
| L | 90.3% | 476 |
| MK | 90.6% | 426 |
| BS | 90.7% | 680 |
| WA | 90.8% | 381 |
| NE | 91.0% | 576 |
| DN | 91.0% | 556 |
| ME | 91.1% | 305 |
| BL | 91.2% | 238 |
| EH | 91.2% | 524 |
| RG | 91.3% | 472 |
| PL | 91.4% | 243 |
| DE | 91.5% | 579 |
| PR | 91.7% | 350 |
| WF | 91.8% | 376 |
| YO | 91.8% | 401 |
| EX | 91.8% | 304 |
| BB | 91.9% | 259 |
| CV | 91.9% | 459 |
| BH | 92.0% | 238 |
| SG | 92.0% | 376 |
| CF | 92.0% | 464 |
| BD | 92.1% | 302 |
| TS | 92.1% | 316 |
| HU | 92.1% | 368 |
| S | 92.2% | 874 |
| NP | 92.3% | 338 |
| WV | 92.3% | 248 |
| NG | 92.4% | 565 |
| PE | 92.5% | 412 |
| SO | 92.5% | 319 |
| BN | 92.7% | 273 |
| TR | 92.7% | 219 |
| B | 92.7% | 908 |
| OX | 92.7% | 386 |
| SK | 92.8% | 552 |
| CB | 92.8% | 263 |
| CW | 92.8% | 388 |
| ST | 93.0% | 400 |
| SL | 93.0% | 287 |
| IP | 93.1% | 422 |
| SA | 93.3% | 461 |
| AL | 93.3% | 239 |
| RH | 93.3% | 360 |
| OL | 93.5% | 214 |
| GL | 93.5% | 354 |
| GU | 93.6% | 636 |
| BR | 93.6% | 204 |
| WS | 94.1% | 219 |
| SN | 94.2% | 326 |
| NR | 94.2% | 363 |
| CM | 94.7% | 603 |
| M | 94.8% | 442 |
| DL | 94.8% | 289 |
| PO | 94.8% | 368 |
| IV | 94.9% | 255 |
| DA | 95.0% | 303 |
| HP | 95.1% | 324 |
| LN | 95.3% | 235 |
| WR | 95.8% | 307 |
| LA | 96.0% | 276 |
“vs national” is against this model's own rate across all years (91.0%), 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 5 points above its own all-years national rate.