Where was the UR24F number plate registered?

Vehicles with the UR24F prefix were first registered in the UK through official DVLA regional allocation tag UR.

What year was a UR24F registration plate released?

The UR24F series was issued during March 2024 to August 2024.

What is the MOT pass rate for UR24F vehicles?

MOT pass rates for UR24F series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

UR24F Series Number Plates

UK vehicles during March 2024 to August 2024 with registration prefix UR24F.

Area Office: DVLA Region (UR)
Release Period: March 2024 to August 2024
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

BMW 50% (1)

SUZUKI 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

BLACK1 vehicles

WHITE1 vehicles

Active Plates in UR24F Series(2 of 2 displayed)

Filter by 6th Letter:

UR24FAN

TaxedMOT Expired

BMW I4 EDRIVE35 SPORT

ELECTRICITY · WHITE

First Used: Mar 2024
MOT Expiry: —
Tax Status: Taxed
Color: WHITE

Check History & Specs

UR24FUN

TaxedMOT Expired

SUZUKI UB 125 LNM M4

0.1L · PETROL · BLACK

First Used: Jun 2024
MOT Expiry: —
Tax Status: Taxed
Color: BLACK

Check History & Specs

Reliability & Common Problem Guides for UR24F Makes

Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:

BMW Common Problems SUZUKI Common Problems

Frequently Asked Questions about UR24F Plates

Where was the UR24F number plate series registered?

Vehicles starting with UR24F were assigned to the DVLA regional office covering the UK. The first two letters (UR) identify the memory tag assigned by the DVLA.

What registration period is UR24F?

The UR24F age identifier corresponds to vehicles first registered between March 2024 to August 2024.

How can I check the MOT history of a UR24F vehicle?

Click any registration in the plate list above to view the complete DVSA inspection history, advisory alerts, mileage progression, road tax status, and our AI mechanical risk evaluation.