Where was the UM13M number plate registered?

Vehicles with the UM13M prefix were first registered in the UK through official DVLA regional allocation tag UM.

What year was a UM13M registration plate released?

The UM13M series was issued during March 2013 to August 2013.

What is the MOT pass rate for UM13M vehicles?

Vehicles in the UM13M cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UM13M Series Number Plates

UK vehicles during March 2013 to August 2013 with registration prefix UM13M.

Area Office: DVLA Region (UM)
Release Period: March 2013 to August 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

TOYOTA 50% (1)

VOLKSWAGEN 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

Red1 vehicles

Active Plates in UM13M Series(2 of 2 displayed)

Filter by 6th Letter:

UM13MAR

MOT Valid

VOLKSWAGEN GOLF

2.0L · Diesel · Grey

First Used: Mar 2013
MOT Expiry: 03 Nov 2026
Tax Status: —
Color: Grey

Check History & Specs

UM13MXH

MOT Valid

TOYOTA YARIS

1.3L · Petrol · Red

First Used: May 2014
MOT Expiry: 11 Feb 2027
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for UM13M Makes

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

TOYOTA Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about UM13M Plates

Where was the UM13M number plate series registered?

Vehicles starting with UM13M were assigned to the DVLA regional office covering the UK. The first two letters (UM) identify the memory tag assigned by the DVLA.

What registration period is UM13M?

The UM13M age identifier corresponds to vehicles first registered between March 2013 to August 2013.

How can I check the MOT history of a UM13M 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.