Where was the US06M number plate registered?

Vehicles with the US06M prefix were first registered in the UK through official DVLA regional allocation tag US.

What year was a US06M registration plate released?

The US06M series was issued during March 2006 to August 2006.

What is the MOT pass rate for US06M vehicles?

Vehicles in the US06M cohort demonstrate an average historical MOT pass rate of 100% based on 6 recorded DVSA inspections.

Batch Prefix Hub

US06M Series Number Plates

UK vehicles during March 2006 to August 2006 with registration prefix US06M.

Area Office: DVLA Region (US)
Release Period: March 2006 to August 2006
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

VOLKSWAGEN 50% (1)

100%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Silver2 vehicles

Active Plates in US06M Series(2 of 2 displayed)

US06MEG

MOT Valid

FORD FIESTA

1.0L · Petrol · Silver

First Used: Sep 2018
MOT Expiry: 25 Nov 2026
Tax Status: —
Color: Silver

Check History & Specs

US06MEN

MOT Valid

VOLKSWAGEN CADDY MAXI C20 LIFE TDI S-A

2.0L · Diesel · Silver

First Used: Mar 2023
MOT Expiry: 06 Apr 2027
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for US06M Makes

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

FORD Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about US06M Plates

Where was the US06M number plate series registered?

Vehicles starting with US06M 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 US06M?

The US06M age identifier corresponds to vehicles first registered between March 2006 to August 2006.

How can I check the MOT history of a US06M 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.