Where was the UM14G number plate registered?

Vehicles with the UM14G prefix were first registered in the UK through official DVLA regional allocation tag UM.

What year was a UM14G registration plate released?

The UM14G series was issued during March 2014 to August 2014.

What is the MOT pass rate for UM14G vehicles?

Vehicles in the UM14G cohort demonstrate an average historical MOT pass rate of 87.5% based on 8 recorded DVSA inspections.

Batch Prefix Hub

UM14G Series Number Plates

UK vehicles during March 2014 to August 2014 with registration prefix UM14G.

Area Office: DVLA Region (UM)
Release Period: March 2014 to August 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 87.5%

Popular Makes

PEUGEOT 50% (1)

VOLKSWAGEN 50% (1)

87.5%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in UM14G Series(2 of 2 displayed)

UM14GRN

MOT Expired

PEUGEOT 107

1.0L · Petrol · Black

First Used: Mar 2014
MOT Expiry: 28 Apr 2025
Tax Status: —
Color: Black

Check History & Specs

UM14GRW

MOT Valid

VOLKSWAGEN T-ROC

2.0L · Diesel · White

First Used: Jan 2020
MOT Expiry: 30 Jan 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for UM14G Makes

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

PEUGEOT Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about UM14G Plates

Where was the UM14G number plate series registered?

Vehicles starting with UM14G 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 UM14G?

The UM14G age identifier corresponds to vehicles first registered between March 2014 to August 2014.

How can I check the MOT history of a UM14G 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.