Nissan Juke 2014 MOT pass rate by postcode area
The Nissan Juke 2014 MOT pass rate by postcode area runs from 85.7% in SE down to 64.1% in PH — 21.6 points apart for the same model, the same model year and the same test. Below are all 114 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 2014 Nissan Juke 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 £24–£63 in parts at this model's typical failure cost .
25 of 170 models by how far apart their best and worst postcode area are. Wider: Fiat Punto (21.6). Narrower: Citroen C4 (21.5).
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 |
|---|---|---|
| PH | 64.1% | 237 |
| KY | 64.2% | 687 |
| DD | 64.3% | 589 |
| AB | 65.4% | 654 |
| HG | 66.4% | 259 |
| SR | 66.4% | 1,022 |
| LN | 67.1% | 779 |
| HU | 67.6% | 1,579 |
| PA | 68.0% | 513 |
| KA | 68.1% | 764 |
| YO | 68.1% | 1,214 |
| FK | 68.3% | 464 |
| EH | 68.5% | 1,563 |
| ML | 68.5% | 549 |
| LS | 68.8% | 1,730 |
| G | 68.9% | 1,812 |
| DH | 68.9% | 1,159 |
| HD | 69.1% | 570 |
| FY | 69.3% | 810 |
| IV | 69.3% | 261 |
| CW | 69.7% | 912 |
| TD | 69.8% | 225 |
| DL | 69.9% | 1,062 |
| TR | 70.3% | 441 |
| NP | 70.3% | 1,872 |
| TS | 70.4% | 2,180 |
| SA | 70.4% | 1,938 |
| CF | 70.5% | 3,480 |
| ST | 71.0% | 1,786 |
| SP | 71.0% | 449 |
| PL | 71.2% | 1,502 |
| CH | 71.2% | 1,669 |
| NE | 71.5% | 3,637 |
| DG | 71.5% | 239 |
| GL | 71.8% | 1,526 |
| BA | 72.0% | 831 |
| BS | 72.0% | 2,210 |
| TF | 72.0% | 701 |
| CA | 72.1% | 614 |
| SK | 72.4% | 1,479 |
| DN | 72.6% | 2,056 |
| WN | 72.6% | 989 |
| NG | 72.7% | 3,049 |
| WA | 72.7% | 1,698 |
| HX | 72.8% | 602 |
| LL | 73.0% | 1,305 |
| OL | 73.2% | 1,323 |
| SN | 73.2% | 1,026 |
| EX | 73.3% | 1,021 |
| NN | 73.4% | 1,863 |
| WF | 73.4% | 1,571 |
| HR | 73.6% | 390 |
| LA | 73.7% | 582 |
| BD | 73.7% | 1,225 |
| DT | 73.8% | 420 |
| PR | 73.9% | 1,523 |
| SY | 74.1% | 721 |
| TQ | 74.2% | 507 |
| WS | 74.4% | 1,501 |
| BL | 74.5% | 1,353 |
| CV | 74.7% | 1,915 |
| DE | 75.0% | 2,119 |
| BN | 75.1% | 1,435 |
| CB | 75.1% | 698 |
| MK | 75.1% | 1,252 |
| BB | 75.4% | 1,533 |
| LE | 75.4% | 2,697 |
| SG | 75.5% | 1,059 |
| CO | 75.8% | 1,005 |
| PE | 75.9% | 2,308 |
| NR | 76.0% | 1,860 |
| L | 76.0% | 1,670 |
| S | 76.2% | 3,928 |
| PO | 76.5% | 1,746 |
| RH | 76.6% | 1,038 |
| IP | 76.7% | 1,397 |
| WR | 76.8% | 611 |
| TA | 76.8% | 638 |
| GU | 76.8% | 1,169 |
| WV | 76.8% | 1,411 |
| OX | 76.9% | 1,111 |
| TN | 77.0% | 1,381 |
| M | 77.1% | 3,043 |
| CM | 77.1% | 1,522 |
| BH | 77.1% | 1,248 |
| DY | 77.1% | 1,320 |
| RG | 77.5% | 1,560 |
| SO | 77.6% | 1,136 |
| ME | 77.8% | 1,415 |
| CT | 78.1% | 946 |
| B | 78.7% | 4,923 |
| AL | 79.0% | 428 |
| KT | 79.0% | 752 |
| WD | 79.0% | 405 |
| LU | 79.0% | 868 |
| HP | 80.1% | 988 |
| BR | 81.3% | 385 |
| DA | 81.9% | 999 |
| W | 81.9% | 210 |
| SS | 82.1% | 1,445 |
| CR | 82.8% | 982 |
| NW | 83.6% | 685 |
| IG | 83.7% | 546 |
| EN | 83.8% | 857 |
| SL | 83.9% | 732 |
| HA | 84.0% | 827 |
| SW | 84.4% | 371 |
| RM | 84.8% | 1,443 |
| SM | 85.0% | 280 |
| UB | 85.0% | 801 |
| TW | 85.2% | 839 |
| E | 85.4% | 1,029 |
| N | 85.4% | 865 |
| SE | 85.7% | 1,666 |
“vs national” is against this model's own rate across all years (79.7%), 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 6 points above its own all-years national rate.