Where was the TU03J number plate registered?

Vehicles with the TU03J prefix were first registered in the UK through official DVLA regional allocation tag TU.

What year was a TU03J registration plate released?

The TU03J series was issued during March 2003 to August 2003.

What is the MOT pass rate for TU03J vehicles?

Vehicles in the TU03J cohort demonstrate an average historical MOT pass rate of 85.7% based on 7 recorded DVSA inspections.

Batch Prefix Hub

TU03J Series Number Plates

UK vehicles during March 2003 to August 2003 with registration prefix TU03J.

Area Office: DVLA Region (TU)
Release Period: March 2003 to August 2003
Tracked in Batch: 2 vehicles
MOT Pass Rate: 85.7%

Popular Makes

FORD 50% (1)

MAZDA 50% (1)

85.7%

Average MOT Pass Rate

Based on 7 historical tests

Common Colors

Silver1 vehicles

Yellow1 vehicles

Active Plates in TU03J Series(2 of 2 displayed)

Filter by 6th Letter:

TU03JAZ

MOT Valid

FORD FIESTA

1.0L · Petrol · Yellow

First Used: Dec 2014
MOT Expiry: 29 Jan 2027
Tax Status: —
Color: Yellow

Check History & Specs

TU03JOS

MOT Valid

MAZDA MX-5

1.8L · Petrol · Silver

First Used: Jul 2003
MOT Expiry: 22 May 2027
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for TU03J Makes

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

FORD Common Problems MAZDA Common Problems

Frequently Asked Questions about TU03J Plates

Where was the TU03J number plate series registered?

Vehicles starting with TU03J were assigned to the DVLA regional office covering the UK. The first two letters (TU) identify the memory tag assigned by the DVLA.

What registration period is TU03J?

The TU03J age identifier corresponds to vehicles first registered between March 2003 to August 2003.

How can I check the MOT history of a TU03J 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.