UK vehicle statistics / Manitou

How many Manitou MI cars are left?

At the end of 2026 Q1, DfT recorded 72 licensed and 32 SORN vehicles in the UK within the Manitou MI generic-model group.

Looking at a MI?

Population figures cannot tell you whether one particular car is taxed, MOT-valid or safe to buy.

Check its registration free for the official tax, MOT and mileage record. If the car is still worth pursuing, the optional £9.99 full history check adds outstanding-finance, stolen and insurance write-off checks.

Wondering whether one particular MI is off the road? A free SORN check shows whether it is currently SORN, taxed or untaxed.

Is the MI disappearing?

72 are licensed as of 2026 Q1 — the highest count in the published series, so the MI is still arriving on UK roads rather than leaving them. That is up 227% in the five years since 2021 Q1. A further 32 are declared SORN — 1 in 3 of the 104 still on the DVLA record is off the road, laid up, part-restored or waiting to be sold.

A falling population is worth knowing before you buy: it usually means fewer donor cars, fewer specialists and slower parts supply, and it is why a good example of a scarce model can hold its price while a neglected one is hard to sell at any price.

Recent quarterly trend

QuarterLicensedSORN
2026 Q17232
2025 Q46428
2025 Q36420
2025 Q25218
2025 Q15116
2024 Q45215
2024 Q35114
2024 Q24812
2024 Q14610
2023 Q4439
2023 Q3428
2023 Q2387

Other Manitou models

  • MT — 3,664 licensed
  • MLT — 3,313 licensed
  • MRT — 238 licensed
  • M — 57 licensed
  • MLA — 197 licensed
  • ULM — 84 licensed

See how many of every Manitou model are left

Source and limitations

Source: Department for Transport and DVLA, df_VEH0120_UK. Released 2026-07-15 under the Open Government Licence v3.0.

DVLA make and model fields are administrative data and can contain omissions or inconsistencies. These statistics describe model groups, not an individual registration.

Confidential cells marked [c] represent between 1 and 4 vehicles and are treated as zero in aggregates, so totals can be slightly understated.