Where was the UR17S number plate registered?

Vehicles with the UR17S prefix were first registered in the UK through official DVLA regional allocation tag UR.

What year was a UR17S registration plate released?

The UR17S series was issued during March 2017 to August 2017.

What is the MOT pass rate for UR17S vehicles?

Vehicles in the UR17S cohort demonstrate an average historical MOT pass rate of 100% based on 6 recorded DVSA inspections.

Batch Prefix Hub

UR17S Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix UR17S.

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

Popular Makes

MINI 50% (1)

VOLKSWAGEN 50% (1)

100%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Grey1 vehicles

Red1 vehicles

Active Plates in UR17S Series(2 of 2 displayed)

Filter by 6th Letter:

UR17SON

MOT Valid

VOLKSWAGEN TIGUAN

2.0L · Diesel · Grey

First Used: Oct 2017
MOT Expiry: 11 Dec 2026
Tax Status: —
Color: Grey

Check History & Specs

UR17STE

MOT Valid

MINI COOPER

1.5L · Petrol · Red

First Used: Oct 2022
MOT Expiry: 27 Oct 2026
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for UR17S Makes

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

MINI Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about UR17S Plates

Where was the UR17S number plate series registered?

Vehicles starting with UR17S were assigned to the DVLA regional office covering the UK. The first two letters (UR) identify the memory tag assigned by the DVLA.

What registration period is UR17S?

The UR17S age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a UR17S 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.