Where was the UR57G number plate registered?

Vehicles with the UR57G prefix were first registered in the UK through official DVLA regional allocation tag UR.

What year was a UR57G registration plate released?

The UR57G series was issued during September 2007 to February 2008.

What is the MOT pass rate for UR57G vehicles?

Vehicles in the UR57G cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

UR57G Series Number Plates

UK vehicles during September 2007 to February 2008 with registration prefix UR57G.

Area Office: DVLA Region (UR)
Release Period: September 2007 to February 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

FIAT 50% (1)

MERCEDES-BENZ 50% (1)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Red1 vehicles

White1 vehicles

Active Plates in UR57G Series(2 of 2 displayed)

Filter by 6th Letter:

UR57GLO

MOT Valid

FIAT PANDA

1.2L · Petrol · White

First Used: Dec 2012
MOT Expiry: 03 Oct 2026
Tax Status: —
Color: White

Check History & Specs

UR57GUY

MOT Valid

MERCEDES-BENZ SL

3.5L · Petrol · Red

First Used: Mar 2014
MOT Expiry: 16 Jul 2026
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for UR57G Makes

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

FIAT Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about UR57G Plates

Where was the UR57G number plate series registered?

Vehicles starting with UR57G 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 UR57G?

The UR57G age identifier corresponds to vehicles first registered between September 2007 to February 2008.

How can I check the MOT history of a UR57G 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.