MG Zs 2020 MOT pass rate by postcode area
The MG Zs 2020 MOT pass rate by postcode area runs from 95.3% in LN down to 79.0% in FK — 16.3 points apart for the same model, the same model year and the same test. Below are all 77 postcode areas that tested enough of them to publish.
What a 16.3-point gap means
Pinned to one model year, this is not a table of old cars: every 2020 MG Zs in the data is the same age. Over five annual MOTs the gap between the best and worst area is 0.8 extra failures — about £25–£62 in parts at this model's typical failure cost .
90 of 170 models by how far apart their best and worst postcode area are. Wider: Ford Grand C-Max (16.3). Narrower: Volvo XC60 (16.3).
Rates are for the 2020 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 |
|---|---|---|
| FK | 79.0% | 400 |
| G | 83.7% | 723 |
| AB | 84.4% | 295 |
| DD | 84.6% | 201 |
| EH | 84.9% | 490 |
| CF | 85.3% | 2,111 |
| ML | 85.4% | 213 |
| BN | 85.6% | 395 |
| SA | 85.8% | 922 |
| CO | 86.1% | 303 |
| PA | 86.9% | 337 |
| NE | 87.0% | 890 |
| L | 87.4% | 372 |
| GU | 87.4% | 397 |
| BL | 87.4% | 294 |
| LS | 87.4% | 493 |
| PE | 87.6% | 541 |
| BH | 87.9% | 371 |
| CW | 88.0% | 241 |
| NN | 88.2% | 263 |
| CB | 88.4% | 302 |
| BS | 88.5% | 503 |
| NP | 88.5% | 486 |
| B | 88.5% | 739 |
| TN | 88.5% | 322 |
| IP | 88.6% | 413 |
| PO | 88.7% | 689 |
| ME | 88.9% | 351 |
| WV | 89.0% | 210 |
| NG | 89.2% | 314 |
| M | 89.2% | 268 |
| DN | 89.2% | 381 |
| TS | 89.4% | 207 |
| SK | 89.4% | 331 |
| DH | 89.5% | 238 |
| RG | 89.5% | 457 |
| WN | 89.5% | 267 |
| MK | 89.7% | 409 |
| YO | 89.8% | 206 |
| WF | 89.9% | 307 |
| CH | 89.9% | 398 |
| CM | 90.0% | 530 |
| HP | 90.1% | 282 |
| NR | 90.1% | 455 |
| GL | 90.2% | 447 |
| SO | 90.2% | 437 |
| E | 90.2% | 499 |
| HA | 90.2% | 389 |
| UB | 90.4% | 228 |
| CV | 90.8% | 381 |
| WA | 90.9% | 494 |
| DE | 91.1% | 325 |
| ST | 91.1% | 315 |
| PR | 91.3% | 549 |
| AL | 91.3% | 218 |
| SG | 91.3% | 254 |
| S | 91.4% | 659 |
| BB | 91.4% | 278 |
| OX | 91.5% | 317 |
| KT | 91.5% | 247 |
| EX | 91.6% | 308 |
| DA | 91.8% | 441 |
| CR | 92.1% | 329 |
| NW | 92.2% | 309 |
| RM | 92.4% | 315 |
| WD | 92.5% | 267 |
| LE | 92.5% | 294 |
| SE | 92.5% | 361 |
| BA | 92.8% | 209 |
| SN | 92.8% | 377 |
| OL | 93.0% | 242 |
| HU | 93.0% | 314 |
| IG | 93.2% | 206 |
| RH | 93.4% | 272 |
| SS | 93.4% | 472 |
| DY | 94.1% | 407 |
| LN | 95.3% | 213 |
“vs national” is against this model's own rate across all years (87.4%), 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.