Where was the US53X number plate registered?

Vehicles with the US53X prefix were first registered in the UK through official DVLA regional allocation tag US.

What year was a US53X registration plate released?

The US53X series was issued during September 2003 to February 2004.

What is the MOT pass rate for US53X vehicles?

Vehicles in the US53X cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

US53X Series Number Plates

UK vehicles during September 2003 to February 2004 with registration prefix US53X.

Area Office: DVLA Region (US)
Release Period: September 2003 to February 2004
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 100% (2)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in US53X Series(2 of 2 displayed)

Filter by 6th Letter:

US53XAN

MOT Valid

BMW 3 SERIES

2.0L · Hybrid Electric (Clean) · White

First Used: Sep 2016
MOT Expiry: 28 Sep 2026
Tax Status: —
Color: White

Check History & Specs

US53XNN

MOT Valid

BMW 5 SERIES

2.0L · Diesel · Blue

First Used: Dec 2017
MOT Expiry: 17 Jun 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for US53X Makes

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

BMW Common Problems

Frequently Asked Questions about US53X Plates

Where was the US53X number plate series registered?

Vehicles starting with US53X 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 US53X?

The US53X age identifier corresponds to vehicles first registered between September 2003 to February 2004.

How can I check the MOT history of a US53X 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.