Where was the UO08U number plate registered?

Vehicles with the UO08U prefix were first registered in the UK through official DVLA regional allocation tag UO.

What year was a UO08U registration plate released?

The UO08U series was issued during March 2008 to August 2008.

What is the MOT pass rate for UO08U vehicles?

Vehicles in the UO08U cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

UO08U Series Number Plates

UK vehicles during March 2008 to August 2008 with registration prefix UO08U.

Area Office: DVLA Region (UO)
Release Period: March 2008 to August 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

FORD 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in UO08U Series(2 of 2 displayed)

Filter by 6th Letter:

UO08UFO

MOT Valid

FORD BENIMAR

2.0L · Diesel · White

First Used: Mar 2019
MOT Expiry: 27 Apr 2026
Tax Status: —
Color: White

Check History & Specs

UO08UUU

MOT Expired

BMW M340D XDRIVE MHEV AUTO

Electric Diesel · Blue

First Used: Jun 2023
MOT Expiry: —
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for UO08U Makes

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

BMW Common Problems FORD Common Problems

Frequently Asked Questions about UO08U Plates

Where was the UO08U number plate series registered?

Vehicles starting with UO08U were assigned to the DVLA regional office covering the UK. The first two letters (UO) identify the memory tag assigned by the DVLA.

What registration period is UO08U?

The UO08U age identifier corresponds to vehicles first registered between March 2008 to August 2008.

How can I check the MOT history of a UO08U 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.