Where was the UA03D number plate registered?

Vehicles with the UA03D prefix were first registered in the UK through official DVLA regional allocation tag UA.

What year was a UA03D registration plate released?

The UA03D series was issued during March 2003 to August 2003.

What is the MOT pass rate for UA03D vehicles?

Vehicles in the UA03D cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

UA03D Series Number Plates

UK vehicles during March 2003 to August 2003 with registration prefix UA03D.

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

Popular Makes

MG 50% (1)

NISSAN 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

RED1 vehicles

WHITE1 vehicles

Active Plates in UA03D Series(2 of 2 displayed)

Filter by 6th Letter:

UA03DAD

TaxedMOT Valid

NISSAN LEAF

ELECTRICITY · RED

First Used: Dec 2021
MOT Expiry: 11 Mar 2027
Tax Status: Taxed
Color: RED

Check History & Specs

UA03DOG

TaxedMOT Valid

MG ZS EXCLUSIVE EV

ELECTRICITY · WHITE

First Used: Feb 2020
MOT Expiry: 01 Mar 2028
Tax Status: Taxed
Color: WHITE

Check History & Specs

Reliability & Common Problem Guides for UA03D Makes

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

MG Common Problems NISSAN Common Problems

Frequently Asked Questions about UA03D Plates

Where was the UA03D number plate series registered?

Vehicles starting with UA03D were assigned to the DVLA regional office covering the UK. The first two letters (UA) identify the memory tag assigned by the DVLA.

What registration period is UA03D?

The UA03D age identifier corresponds to vehicles first registered between March 2003 to August 2003.

How can I check the MOT history of a UA03D 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.