Where was the US52T number plate registered?

Vehicles with the US52T prefix were first registered in the UK through official DVLA regional allocation tag US.

What year was a US52T registration plate released?

The US52T series was issued during September 2002 to February 2003.

What is the MOT pass rate for US52T vehicles?

Vehicles in the US52T cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

US52T Series Number Plates

UK vehicles during September 2002 to February 2003 with registration prefix US52T.

Area Office: DVLA Region (US)
Release Period: September 2002 to February 2003
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

SEAT 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in US52T Series(2 of 2 displayed)

Filter by 6th Letter:

US52TAD

MOT Valid

BMW X5

3.0L · Diesel · Grey

First Used: Sep 2019
MOT Expiry: 24 May 2027
Tax Status: —
Color: Grey

Check History & Specs

US52TWO

MOT Valid

SEAT ARONA

1.0L · Petrol · White

First Used: Mar 2019
MOT Expiry: 07 Apr 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for US52T Makes

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

BMW Common Problems SEAT Common Problems

Frequently Asked Questions about US52T Plates

Where was the US52T number plate series registered?

Vehicles starting with US52T were assigned to the DVLA regional office covering the UK. The first two letters (US) identify the memory tag assigned by the DVLA.

What registration period is US52T?

The US52T age identifier corresponds to vehicles first registered between September 2002 to February 2003.

How can I check the MOT history of a US52T 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.