Where was the UK06O number plate registered?

Vehicles with the UK06O prefix were first registered in the UK through official DVLA regional allocation tag UK.

What year was a UK06O registration plate released?

The UK06O series was issued during March 2006 to August 2006.

What is the MOT pass rate for UK06O vehicles?

Vehicles in the UK06O cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

UK06O Series Number Plates

UK vehicles during March 2006 to August 2006 with registration prefix UK06O.

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

Popular Makes

MERCEDES-BENZ 100% (2)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Black1 vehicles

Silver1 vehicles

Active Plates in UK06O Series(2 of 2 displayed)

Filter by 6th Letter:

UK06OPS

MOT Valid

MERCEDES-BENZ SPRINTER

2.1L · Diesel · Silver

First Used: Jun 2017
MOT Expiry: 25 Jul 2026
Tax Status: —
Color: Silver

Check History & Specs

UK06OVA

MOT Valid

MERCEDES-BENZ S-Class

3.0L · Diesel · Black

First Used: Jan 2017
MOT Expiry: 10 Feb 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for UK06O Makes

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

MERCEDES-BENZ Common Problems

Frequently Asked Questions about UK06O Plates

Where was the UK06O number plate series registered?

Vehicles starting with UK06O were assigned to the DVLA regional office covering the UK. The first two letters (UK) identify the memory tag assigned by the DVLA.

What registration period is UK06O?

The UK06O age identifier corresponds to vehicles first registered between March 2006 to August 2006.

How can I check the MOT history of a UK06O 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.