Where was the JD03U number plate registered?

Vehicles with the JD03U prefix were first registered in the UK through official DVLA regional allocation tag JD.

What year was a JD03U registration plate released?

The JD03U series was issued during March 2003 to August 2003.

What is the MOT pass rate for JD03U vehicles?

Vehicles in the JD03U cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JD03U Series Number Plates

UK vehicles during March 2003 to August 2003 with registration prefix JD03U.

Area Office: DVLA Region (JD)
Release Period: March 2003 to August 2003
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

VAUXHALL 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Black1 vehicles

Red1 vehicles

Active Plates in JD03U Series(2 of 2 displayed)

Filter by 6th Letter:

JD03UNC

MOT Valid

VAUXHALL CORSA

1.2L · Petrol · Red

First Used: Mar 2010
MOT Expiry: 03 Aug 2027
Tax Status: —
Color: Red

Check History & Specs

JD03UTD

MOT Valid

FORD ECOSPORT

1.0L · Petrol · Black

First Used: Oct 2018
MOT Expiry: 30 Oct 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JD03U Makes

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

FORD Common Problems VAUXHALL Common Problems

Frequently Asked Questions about JD03U Plates

Where was the JD03U number plate series registered?

Vehicles starting with JD03U were assigned to the DVLA regional office covering the UK. The first two letters (JD) identify the memory tag assigned by the DVLA.

What registration period is JD03U?

The JD03U age identifier corresponds to vehicles first registered between March 2003 to August 2003.

How can I check the MOT history of a JD03U 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.