Where was the UD16H number plate registered?

Vehicles with the UD16H prefix were first registered in the UK through official DVLA regional allocation tag UD.

What year was a UD16H registration plate released?

The UD16H series was issued during March 2016 to August 2016.

What is the MOT pass rate for UD16H vehicles?

Vehicles in the UD16H cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

UD16H Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix UD16H.

Area Office: DVLA Region (UD)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 77.8%

Popular Makes

BMW 50% (1)

FORD 50% (1)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Orange1 vehicles

Silver1 vehicles

Active Plates in UD16H Series(2 of 2 displayed)

Filter by 6th Letter:

UD16HAR

MOT Valid

BMW 320

2.0L · Petrol · Orange

First Used: Sep 2019
MOT Expiry: 05 Mar 2027
Tax Status: —
Color: Orange

Check History & Specs

UD16HOL

MOT Valid

FORD TRANSIT

2.0L · Diesel · Silver

First Used: Jun 2018
MOT Expiry: 14 Jul 2027
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for UD16H Makes

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

BMW Common Problems FORD Common Problems

Frequently Asked Questions about UD16H Plates

Where was the UD16H number plate series registered?

Vehicles starting with UD16H were assigned to the DVLA regional office covering the UK. The first two letters (UD) identify the memory tag assigned by the DVLA.

What registration period is UD16H?

The UD16H age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a UD16H 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.