UK vehicle statistics / London Taxis INT

How many London Taxis INT. TX4 cars are left?

At the end of 2026 Q1, DfT recorded 5,912 licensed and 3,600 SORN vehicles in the UK within the London Taxis INT. TX4 generic-model group.

Looking at a London Taxis INT. TX4?

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 London Taxis INT. TX4 is off the road? A free SORN check shows whether it is currently SORN, taxed or untaxed.

Is the London Taxis INT. TX4 disappearing?

Licensed numbers peaked at 15,426 in 2017 Q3 and stand at 5,912 in 2026 Q1, down 62%. That is down 44% in the five years since 2021 Q1. A further 3,600 are declared SORN — 1 in 3 of the 9,512 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 Q15,9123,600
2025 Q46,2623,459
2025 Q36,5153,343
2025 Q26,8093,285
2025 Q17,1543,135
2024 Q47,3993,117
2024 Q37,5923,107
2024 Q27,8723,062
2024 Q18,1352,977
2023 Q48,4492,883
2023 Q38,9442,650
2023 Q29,5792,480

Other London Taxis INT models

See how many of every London Taxis INT 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.