Where was the UK66D number plate registered?

Vehicles with the UK66D prefix were first registered in the UK through official DVLA regional allocation tag UK.

What year was a UK66D registration plate released?

The UK66D series was issued during September 2016 to February 2017.

What is the MOT pass rate for UK66D vehicles?

Vehicles in the UK66D cohort demonstrate an average historical MOT pass rate of 100% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UK66D Series Number Plates

UK vehicles during September 2016 to February 2017 with registration prefix UK66D.

Area Office: DVLA Region (UK)
Release Period: September 2016 to February 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

HYUNDAI 50% (1)

100%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in UK66D Series(2 of 2 displayed)

UK66DEB

MOT Valid

HYUNDAI TUCSON

2.0L · Diesel · White

First Used: Sep 2016
MOT Expiry: 22 Sep 2027
Tax Status: —
Color: White

Check History & Specs

UK66DEN

MOT Valid

FORD TRANSIT

2.0L · Diesel · Black

First Used: Mar 2018
MOT Expiry: 16 Mar 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for UK66D Makes

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

FORD Common Problems HYUNDAI Common Problems

Frequently Asked Questions about UK66D Plates

Where was the UK66D number plate series registered?

Vehicles starting with UK66D were assigned to the DVLA regional office covering the UK. The first two letters (UK) identify the memory tag assigned by the DVLA.

What registration period is UK66D?

The UK66D age identifier corresponds to vehicles first registered between September 2016 to February 2017.

How can I check the MOT history of a UK66D 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.