Where was the US05G number plate registered?

Vehicles with the US05G prefix were first registered in the UK through official DVLA regional allocation tag US.

What year was a US05G registration plate released?

The US05G series was issued during March 2005 to August 2005.

What is the MOT pass rate for US05G vehicles?

Vehicles in the US05G cohort demonstrate an average historical MOT pass rate of 66.7% based on 6 recorded DVSA inspections.

Batch Prefix Hub

US05G Series Number Plates

UK vehicles during March 2005 to August 2005 with registration prefix US05G.

Area Office: DVLA Region (US)
Release Period: March 2005 to August 2005
Tracked in Batch: 2 vehicles
MOT Pass Rate: 66.7%

Popular Makes

FORD 100% (2)

66.7%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

BLACK1 vehicles

Yellow1 vehicles

Active Plates in US05G Series(2 of 2 displayed)

Filter by 6th Letter:

US05GCS

TaxedMOT Valid

FORD TRANSIT CUSTOM 300LIMITD EBLUE

2.0L · DIESEL · BLACK

First Used: May 2023
MOT Expiry: 24 May 2027
Tax Status: Taxed
Color: BLACK

Check History & Specs

US05GTS

MOT Valid

FORD MUSTANG

4.6L · Petrol · Yellow

First Used: Jun 2005
MOT Expiry: 02 Mar 2027
Tax Status: —
Color: Yellow

Check History & Specs

Reliability & Common Problem Guides for US05G Makes

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

FORD Common Problems

Frequently Asked Questions about US05G Plates

Where was the US05G number plate series registered?

Vehicles starting with US05G 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 US05G?

The US05G age identifier corresponds to vehicles first registered between March 2005 to August 2005.

How can I check the MOT history of a US05G 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.