Where was the UU08J number plate registered?

Vehicles with the UU08J prefix were first registered in the UK through official DVLA regional allocation tag UU.

What year was a UU08J registration plate released?

The UU08J series was issued during March 2008 to August 2008.

What is the MOT pass rate for UU08J vehicles?

Vehicles in the UU08J cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UU08J Series Number Plates

UK vehicles during March 2008 to August 2008 with registration prefix UU08J.

Area Office: DVLA Region (UU)
Release Period: March 2008 to August 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

FORD 50% (1)

VOLKSWAGEN 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in UU08J Series(2 of 2 displayed)

Filter by 6th Letter:

UU08JAY

MOT Valid

VOLKSWAGEN POLO

1.4L · Petrol · Black

First Used: Mar 2010
MOT Expiry: 25 Jun 2027
Tax Status: —
Color: Black

Check History & Specs

UU08JOE

MOT Valid

FORD FIESTA

1.0L · Petrol · Blue

First Used: Jul 2016
MOT Expiry: 29 Sep 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for UU08J 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 UU08J Plates

Where was the UU08J number plate series registered?

Vehicles starting with UU08J were assigned to the DVLA regional office covering the UK. The first two letters (UU) identify the memory tag assigned by the DVLA.

What registration period is UU08J?

The UU08J age identifier corresponds to vehicles first registered between March 2008 to August 2008.

How can I check the MOT history of a UU08J 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.