Where was the UU15H number plate registered?

Vehicles with the UU15H prefix were first registered in the UK through official DVLA regional allocation tag UU.

What year was a UU15H registration plate released?

The UU15H series was issued during March 2015 to August 2015.

What is the MOT pass rate for UU15H vehicles?

Vehicles in the UU15H cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

UU15H Series Number Plates

UK vehicles during March 2015 to August 2015 with registration prefix UU15H.

Area Office: DVLA Region (UU)
Release Period: March 2015 to August 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 50% (1)

BMW 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in UU15H Series(2 of 2 displayed)

Filter by 6th Letter:

UU15HAL

MOT Expired

AUDI Q5 S LINE 40 TDI MHEV QUAT S-A

Diesel · Grey

First Used: Sep 2024
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

UU15HOE

TaxedMOT Valid

BMW M2

3.0L · Petrol · White

First Used: Mar 2018
MOT Expiry: 29 Jun 2027
Tax Status: Taxed
Color: White

Check History & Specs

Reliability & Common Problem Guides for UU15H Makes

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

AUDI Common Problems BMW Common Problems

Frequently Asked Questions about UU15H Plates

Where was the UU15H number plate series registered?

Vehicles starting with UU15H 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 UU15H?

The UU15H age identifier corresponds to vehicles first registered between March 2015 to August 2015.

How can I check the MOT history of a UU15H 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.