Grandland
Vauxhall · on record 2017 to 2025
Red List classification, from population, five year trajectory and survival against peak. Reviewed each census.
2025 census
100.0% of the peak fleet remains licensed
peak 109,570 in 2025 · +10,931 vehicles a year, five year trend
Population history
Licensed and SORN vehicles at each census. Filters apply to the population, MOT and registration figures together.
Inside the surviving fleet
AutoCensus parses every DVLA variant description, so the fleet can be read by fuel and specification rather than as one number.
First registrations by year
When surviving examples first joined the British fleet.
New registrations
Vehicles first registered each year. A fleet still being sold shows here; a finished one shows only imports.
MOT reliability
DVSA test results for this family, 2019 to 2025.
| Failure reason | Failures | Share of all tests |
|---|---|---|
| Tyre tread depth not in accordance with the requirements | 7,455 | 3.8% |
| A brake lining or pad worn below 1.5mm | 3,300 | 1.7% |
| A transmission shaft constant velocity joint boot severely deteriorated | 2,300 | 1.2% |
| Windscreen or window damaged or seriously discoloured but not adversely affecting driver's view | 2,116 | 1.1% |
| A suspension pin, bush or joint excessively worn | 1,834 | 0.9% |
| A tyre seriously damaged | 1,816 | 0.9% |
| Wiper blade defective | 1,288 | 0.7% |
| A transmission shaft constant velocity joint boot missing or no longer prevents the ingress of dirt etc | 1,169 | 0.6% |
Counted across every recorded test, 2019 to 2025. Advisories are excluded.
Where the Grandland remains
Based on MOT test locations, 2025. Test location is a proxy: a vehicle is counted where it was last tested, not where it is kept.
| Postcode area | Vehicles tested | Pass rate |
|---|---|---|
| G | 1,186 | 82% |
| B | 911 | 86% |
| NE | 910 | 85% |
| S | 726 | 88% |
| NN | 706 | 83% |
| NG | 685 | 88% |
| PE | 676 | 88% |
| EH | 673 | 81% |
| CH | 654 | 85% |
| RG | 636 | 86% |
| L | 626 | 86% |
| BS | 623 | 85% |
| DN | 610 | 85% |
| NR | 523 | 86% |
| TS | 520 | 85% |
| GL | 516 | 86% |
| CV | 516 | 88% |
| LE | 514 | 87% |
| PO | 503 | 83% |
| GU | 497 | 88% |
| M | 496 | 86% |
| DE | 492 | 88% |
| MK | 464 | 88% |
| CF | 462 | 84% |
| KA | 447 | 84% |
| SO | 442 | 86% |
| WA | 437 | 82% |
| LU | 426 | 88% |
| AB | 419 | 76% |
| CT | 413 | 86% |
| ML | 409 | 83% |
| KY | 405 | 79% |
| EX | 402 | 85% |
| LS | 400 | 84% |
| BH | 398 | 82% |
| ME | 394 | 90% |
| SA | 378 | 82% |
| OX | 377 | 87% |
| DY | 373 | 89% |
| TN | 361 | 87% |
| DA | 358 | 91% |
| RM | 348 | 92% |
| ST | 346 | 84% |
| LL | 344 | 89% |
| BB | 332 | 89% |
| PA | 314 | 84% |
| BL | 312 | 84% |
| NP | 312 | 86% |
| HU | 309 | 86% |
| YO | 308 | 88% |
| IP | 307 | 90% |
| CM | 305 | 88% |
| HP | 301 | 86% |
| CW | 299 | 86% |
| SE | 297 | 89% |
| SY | 287 | 88% |
| WS | 286 | 88% |
| SS | 286 | 90% |
| WF | 283 | 88% |
| DD | 275 | 75% |
| LN | 264 | 84% |
| PR | 263 | 85% |
| FK | 244 | 83% |
| SN | 240 | 88% |
| WV | 234 | 89% |
| WN | 233 | 79% |
| PL | 228 | 83% |
| BN | 227 | 85% |
| DH | 222 | 83% |
| DL | 220 | 84% |
| RH | 216 | 85% |
| OL | 215 | 86% |
| CR | 214 | 92% |
| BA | 213 | 84% |
| CO | 212 | 90% |
| SL | 210 | 92% |
| SG | 209 | 85% |
| EN | 208 | 89% |
| WR | 206 | 90% |
| E | 202 | 92% |
| IV | 196 | 77% |
| SK | 191 | 88% |
| SR | 191 | 86% |
| FY | 191 | 80% |
| TW | 184 | 91% |
| BD | 180 | 88% |
| TD | 172 | 83% |
| LA | 165 | 85% |
| UB | 160 | 90% |
| CB | 156 | 87% |
| WD | 144 | 88% |
| TQ | 143 | 85% |
| KT | 142 | 89% |
| HR | 138 | 94% |
| SP | 135 | 82% |
| CA | 135 | 85% |
| TA | 129 | 86% |
| N | 128 | 86% |
| HA | 125 | 90% |
| TF | 122 | 93% |
| TR | 118 | 88% |
| DG | 117 | 87% |
| PH | 115 | 82% |
| HD | 113 | 81% |
| BR | 113 | 86% |
| NW | 113 | 89% |
| DT | 106 | 87% |
| HG | 96 | 84% |
| SW | 95 | 85% |
| AL | 87 | 85% |
| SM | 68 | 90% |
| KW | 60 | 88% |
| HX | 59 | 86% |
| IG | 56 | 93% |
| W | 35 | 83% |
| ZE | 34 | 68% |
| LD | 20 | 95% |
| HS | 9 | 78% |
How this record was calculated
Full methodology
Population figures count vehicles recorded as licensed or SORN in the DVLA quarterly extract. Figures before 2014 cover Great Britain only. Vehicles are grouped into this family by the DVLA GenModel key shown above, with routing rules for known inconsistencies.
Variant figures are parsed from raw DVLA model descriptions and the original string is always retained. Blank transmission fields are shown as manual because DVLA records the field for automatic vehicles.
MOT figures count tests, not vehicles, and geographic figures count each vehicle at its most recent test location. The decline projection is a straight line fitted to the latest five years and is illustrative only.