Where was the US03H number plate registered?

Vehicles with the US03H prefix were first registered in the UK through official DVLA regional allocation tag US.

What year was a US03H registration plate released?

The US03H series was issued during March 2003 to August 2003.

What is the MOT pass rate for US03H vehicles?

Vehicles in the US03H cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

US03H Series Number Plates

UK vehicles during March 2003 to August 2003 with registration prefix US03H.

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

Popular Makes

CITROEN 50% (1)

HONDA 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Blue1 vehicles

Brown1 vehicles

Active Plates in US03H Series(2 of 2 displayed)

Filter by 6th Letter:

US03HLS

MOT Valid

CITROEN C1

1.0L · Petrol · Blue

First Used: Jul 2009
MOT Expiry: 05 May 2027
Tax Status: —
Color: Blue

Check History & Specs

US03HUG

MOT Valid

HONDA CR-V

1.6L · Diesel · Brown

First Used: Sep 2014
MOT Expiry: 14 Oct 2026
Tax Status: —
Color: Brown

Check History & Specs

Reliability & Common Problem Guides for US03H Makes

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

CITROEN Common Problems HONDA Common Problems

Frequently Asked Questions about US03H Plates

Where was the US03H number plate series registered?

Vehicles starting with US03H were assigned to the DVLA regional office covering the UK. The first two letters (US) identify the memory tag assigned by the DVLA.

What registration period is US03H?

The US03H age identifier corresponds to vehicles first registered between March 2003 to August 2003.

How can I check the MOT history of a US03H 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.