Where was the UA08L number plate registered?

Vehicles with the UA08L prefix were first registered in the UK through official DVLA regional allocation tag UA.

What year was a UA08L registration plate released?

The UA08L series was issued during March 2008 to August 2008.

What is the MOT pass rate for UA08L vehicles?

Vehicles in the UA08L cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UA08L Series Number Plates

UK vehicles during March 2008 to August 2008 with registration prefix UA08L.

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

Popular Makes

BMW 50% (1)

VOLKSWAGEN 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in UA08L Series(2 of 2 displayed)

Filter by 6th Letter:

UA08LAM

MOT Valid

VOLKSWAGEN POLO

1.2L · Petrol · Blue

First Used: Jun 2008
MOT Expiry: 25 Mar 2027
Tax Status: —
Color: Blue

Check History & Specs

UA08LEA

MOT Valid

BMW 118

2.0L · Diesel · Black

First Used: Dec 2015
MOT Expiry: 07 Aug 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for UA08L Makes

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

BMW Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about UA08L Plates

Where was the UA08L number plate series registered?

Vehicles starting with UA08L were assigned to the DVLA regional office covering the UK. The first two letters (UA) identify the memory tag assigned by the DVLA.

What registration period is UA08L?

The UA08L age identifier corresponds to vehicles first registered between March 2008 to August 2008.

How can I check the MOT history of a UA08L 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.