Suzuki SX4 2014 MOT pass rate by postcode area
The Suzuki SX4 2014 MOT pass rate by postcode area runs from 87.3% in RG down to 71.7% in AB — 15.6 points apart for the same model, the same model year and the same test. Below are all 43 postcode areas that tested enough of them to publish.
What a 15.6-point gap means
Pinned to one model year, this is not a table of old cars: every 2014 Suzuki SX4 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 £23–£60 in parts at this model's typical failure cost .
103 of 170 models by how far apart their best and worst postcode area are. Wider: Nissan Qashqai (15.6). Narrower: Toyota Hilux (15.6).
Rates are for the 2014 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 | 71.7% | 318 |
| KY | 72.3% | 202 |
| EH | 76.0% | 409 |
| NE | 77.0% | 639 |
| G | 77.2% | 320 |
| TS | 77.6% | 237 |
| WF | 78.5% | 242 |
| LS | 78.6% | 454 |
| NP | 79.0% | 429 |
| CF | 79.0% | 515 |
| YO | 79.1% | 326 |
| BS | 79.7% | 276 |
| BD | 79.9% | 389 |
| LL | 80.7% | 311 |
| DL | 80.8% | 307 |
| PO | 80.9% | 329 |
| GL | 81.4% | 430 |
| NN | 81.7% | 229 |
| SA | 81.7% | 360 |
| EX | 82.2% | 404 |
| ST | 82.4% | 205 |
| PL | 82.5% | 332 |
| DN | 82.6% | 276 |
| SY | 83.4% | 319 |
| NG | 83.5% | 407 |
| NR | 83.6% | 292 |
| BA | 83.6% | 201 |
| PA | 83.8% | 259 |
| GU | 83.9% | 310 |
| TN | 83.9% | 286 |
| B | 84.1% | 309 |
| DE | 84.2% | 240 |
| BN | 84.3% | 350 |
| PE | 84.6% | 539 |
| CA | 84.7% | 216 |
| BH | 84.8% | 204 |
| CV | 84.9% | 225 |
| IP | 85.0% | 347 |
| SO | 85.1% | 322 |
| MK | 86.8% | 219 |
| S | 87.0% | 577 |
| LE | 87.1% | 255 |
| RG | 87.3% | 237 |
“vs national” is against this model's own rate across all years (79.8%), 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.