Where was the TA08J number plate registered?

Vehicles with the TA08J prefix were first registered in the UK through official DVLA regional allocation tag TA.

What year was a TA08J registration plate released?

The TA08J series was issued during March 2008 to August 2008.

What is the MOT pass rate for TA08J vehicles?

MOT pass rates for TA08J series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

TA08J Series Number Plates

UK vehicles during March 2008 to August 2008 with registration prefix TA08J.

Area Office: DVLA Region (TA)
Release Period: March 2008 to August 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

FORD 50% (1)

TOYOTA 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Purple1 vehicles

Silver1 vehicles

Active Plates in TA08J Series(2 of 2 displayed)

Filter by 6th Letter:

TA08JAY

MOT Valid

FORD FIESTA

1.4L · Petrol · Purple

First Used: Nov 2008
MOT Expiry: 29 Apr 2027
Tax Status: —
Color: Purple

Check History & Specs

TA08JBA

MOT Expired

TOYOTA HILUX INVINCIBLE X D-4D4WD DCB

Diesel · Silver

First Used: Mar 2024
MOT Expiry: —
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for TA08J Makes

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

FORD Common Problems TOYOTA Common Problems

Frequently Asked Questions about TA08J Plates

Where was the TA08J number plate series registered?

Vehicles starting with TA08J 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 TA08J?

The TA08J age identifier corresponds to vehicles first registered between March 2008 to August 2008.

How can I check the MOT history of a TA08J 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.