Where was the UB16M number plate registered?

Vehicles with the UB16M prefix were first registered in the UK through official DVLA regional allocation tag UB.

What year was a UB16M registration plate released?

The UB16M series was issued during March 2016 to August 2016.

What is the MOT pass rate for UB16M vehicles?

Vehicles in the UB16M cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

UB16M Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix UB16M.

Area Office: DVLA Region (UB)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

FORD 50% (1)

MINI 50% (1)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Green1 vehicles

Grey1 vehicles

Active Plates in UB16M Series(2 of 2 displayed)

Filter by 6th Letter:

UB16MOO

MOT Valid

MINI COUNTRYMAN

2.0L · Diesel · Green

First Used: Dec 2017
MOT Expiry: 26 Apr 2027
Tax Status: —
Color: Green

Check History & Specs

UB16MUZ

MOT Valid

FORD RANGER

2.0L · Diesel · Grey

First Used: Apr 2021
MOT Expiry: 08 Apr 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for UB16M Makes

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

FORD Common Problems MINI Common Problems

Frequently Asked Questions about UB16M Plates

Where was the UB16M number plate series registered?

Vehicles starting with UB16M were assigned to the DVLA regional office covering the UK. The first two letters (UB) identify the memory tag assigned by the DVLA.

What registration period is UB16M?

The UB16M age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a UB16M 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.