Where was the UK51W number plate registered?

Vehicles with the UK51W prefix were first registered in the UK through official DVLA regional allocation tag UK.

What year was a UK51W registration plate released?

The UK51W series was issued during September 2001 to February 2002.

What is the MOT pass rate for UK51W vehicles?

Vehicles in the UK51W cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

UK51W Series Number Plates

UK vehicles during September 2001 to February 2002 with registration prefix UK51W.

Area Office: DVLA Region (UK)
Release Period: September 2001 to February 2002
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

DACIA 50% (1)

KIA 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Blue1 vehicles

Red1 vehicles

Active Plates in UK51W Series(2 of 2 displayed)

Filter by 6th Letter:

UK51WHU

MOT Expired

KIA EV6 HORIZON

Electric · Blue

First Used: Mar 2024
MOT Expiry: —
Tax Status: —
Color: Blue

Check History & Specs

UK51WYN

MOT Valid

DACIA DUSTER

1.3L · Petrol · Red

First Used: Mar 2020
MOT Expiry: 25 Jan 2027
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for UK51W Makes

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

DACIA Common Problems KIA Common Problems

Frequently Asked Questions about UK51W Plates

Where was the UK51W number plate series registered?

Vehicles starting with UK51W 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 UK51W?

The UK51W age identifier corresponds to vehicles first registered between September 2001 to February 2002.

How can I check the MOT history of a UK51W 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.