Where was the UK17U number plate registered?

Vehicles with the UK17U prefix were first registered in the UK through official DVLA regional allocation tag UK.

What year was a UK17U registration plate released?

The UK17U series was issued during March 2017 to August 2017.

What is the MOT pass rate for UK17U vehicles?

Vehicles in the UK17U cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

UK17U Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix UK17U.

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

Popular Makes

ISUZU TRUCKS 50% (1)

MERCEDES-BENZ 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Red1 vehicles

White1 vehicles

Active Plates in UK17U Series(2 of 2 displayed)

UK17UKE

MOT Valid

MERCEDES-BENZ SLC

2.0L · Petrol · Red

First Used: Jun 2017
MOT Expiry: 25 Jun 2027
Tax Status: —
Color: Red

Check History & Specs

UK17UKT

MOT Expired

ISUZU TRUCKS GRAFTER N35.125

Diesel · White

First Used: Apr 2025
MOT Expiry: —
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for UK17U Makes

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

ISUZU TRUCKS Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about UK17U Plates

Where was the UK17U number plate series registered?

Vehicles starting with UK17U 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 UK17U?

The UK17U age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a UK17U 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.