Where was the TA74L number plate registered?

Vehicles with the TA74L prefix were first registered in the UK through official DVLA regional allocation tag TA.

What year was a TA74L registration plate released?

The TA74L series was issued during September 2024 to February 2025.

What is the MOT pass rate for TA74L vehicles?

MOT pass rates for TA74L series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

TA74L Series Number Plates

UK vehicles during September 2024 to February 2025 with registration prefix TA74L.

Area Office: DVLA Region (TA)
Release Period: September 2024 to February 2025
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

BMW 50% (1)

FORD 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Black1 vehicles

RED1 vehicles

Active Plates in TA74L Series(2 of 2 displayed)

Filter by 6th Letter:

TA74LAT

TaxedMOT Expired

FORD EXPLORER SELECT EV

ELECTRICITY · RED

First Used: May 2025
MOT Expiry: —
Tax Status: Taxed
Color: RED

Check History & Specs

TA74LOR

MOT Expired

BMW I7 XDRIVE60 M SPORT

Electric · Black

First Used: Nov 2024
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TA74L Makes

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

BMW Common Problems FORD Common Problems

Frequently Asked Questions about TA74L Plates

Where was the TA74L number plate series registered?

Vehicles starting with TA74L were assigned to the DVLA regional office covering the UK. The first two letters (TA) identify the memory tag assigned by the DVLA.

What registration period is TA74L?

The TA74L age identifier corresponds to vehicles first registered between September 2024 to February 2025.

How can I check the MOT history of a TA74L 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.