Where was the UU13M number plate registered?

Vehicles with the UU13M prefix were first registered in the UK through official DVLA regional allocation tag UU.

What year was a UU13M registration plate released?

The UU13M series was issued during March 2013 to August 2013.

What is the MOT pass rate for UU13M vehicles?

Vehicles in the UU13M cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

UU13M Series Number Plates

UK vehicles during March 2013 to August 2013 with registration prefix UU13M.

Area Office: DVLA Region (UU)
Release Period: March 2013 to August 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

HYUNDAI 50% (1)

MERCEDES-BENZ 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Black2 vehicles

Active Plates in UU13M Series(2 of 2 displayed)

Filter by 6th Letter:

UU13MAR

MOT Valid

HYUNDAI IONIQ

Electric · Black

First Used: Dec 2017
MOT Expiry: 08 Nov 2026
Tax Status: —
Color: Black

Check History & Specs

UU13MER

MOT Valid

MERCEDES-BENZ C

2.1L · Diesel · Black

First Used: Nov 2014
MOT Expiry: 07 Jul 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for UU13M Makes

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

HYUNDAI Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about UU13M Plates

Where was the UU13M number plate series registered?

Vehicles starting with UU13M 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 UU13M?

The UU13M age identifier corresponds to vehicles first registered between March 2013 to August 2013.

How can I check the MOT history of a UU13M 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.