Where was the UG03H number plate registered?

Vehicles with the UG03H prefix were first registered in the UK through official DVLA regional allocation tag UG.

What year was a UG03H registration plate released?

The UG03H series was issued during March 2003 to August 2003.

What is the MOT pass rate for UG03H vehicles?

Vehicles in the UG03H cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UG03H Series Number Plates

UK vehicles during March 2003 to August 2003 with registration prefix UG03H.

Area Office: DVLA Region (UG)
Release Period: March 2003 to August 2003
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

MERCEDES-BENZ 50% (1)

VOLKSWAGEN 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in UG03H Series(2 of 2 displayed)

UG03HAN

MOT Valid

VOLKSWAGEN POLO

1.4L · Petrol · White

First Used: Nov 2015
MOT Expiry: 09 Dec 2026
Tax Status: —
Color: White

Check History & Specs

UG03HAZ

MOT Valid

MERCEDES-BENZ C

2.1L · Diesel · Blue

First Used: Jun 2017
MOT Expiry: 06 Jan 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for UG03H Makes

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

MERCEDES-BENZ Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about UG03H Plates

Where was the UG03H number plate series registered?

Vehicles starting with UG03H were assigned to the DVLA regional office covering the UK. The first two letters (UG) identify the memory tag assigned by the DVLA.

What registration period is UG03H?

The UG03H age identifier corresponds to vehicles first registered between March 2003 to August 2003.

How can I check the MOT history of a UG03H 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.