UK vehicle statistics / Fiat

How many Fiat Panda cars are left?

At the end of 2026 Q1, DfT recorded 79,405 licensed and 7,949 SORN vehicles in the UK within the Fiat Panda generic-model group.

Looking at a Panda?

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 Panda is off the road? A free SORN check shows whether it is currently SORN, taxed or untaxed.

Is the Panda disappearing?

Licensed numbers peaked at 105,389 in 2017 Q4 and stand at 79,405 in 2026 Q1, down 25%. That is down 21% in the five years since 2021 Q1. A further 7,949 are declared SORN — 1 in 11 of the 87,354 still on the DVLA record is off the road, laid up, part-restored or waiting to be sold.

For how this model fares on test day, see its MOT pass rate and most common failures.

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 Q179,4057,949
2025 Q481,0207,736
2025 Q382,3237,516
2025 Q283,8087,316
2025 Q184,9867,120
2024 Q486,4646,878
2024 Q387,9356,556
2024 Q289,1286,398
2024 Q190,0536,307
2023 Q491,1656,209
2023 Q391,9085,904
2023 Q292,9225,764

Other Fiat models

See how many of every Fiat 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.