Where was the TU53D number plate registered?

Vehicles with the TU53D prefix were first registered in the UK through official DVLA regional allocation tag TU.

What year was a TU53D registration plate released?

The TU53D series was issued during September 2003 to February 2004.

What is the MOT pass rate for TU53D vehicles?

Vehicles in the TU53D cohort demonstrate an average historical MOT pass rate of 70% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TU53D Series Number Plates

UK vehicles during September 2003 to February 2004 with registration prefix TU53D.

Area Office: DVLA Region (TU)
Release Period: September 2003 to February 2004
Tracked in Batch: 2 vehicles
MOT Pass Rate: 70%

Popular Makes

BMW 50% (1)

NISSAN 50% (1)

70%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

White2 vehicles

Active Plates in TU53D Series(2 of 2 displayed)

Filter by 6th Letter:

TU53DAV

MOT Valid

BMW 1 SERIES

1.6L · Diesel · White

First Used: Sep 2012
MOT Expiry: 03 Sep 2027
Tax Status: —
Color: White

Check History & Specs

TU53DYS

MOT Valid

NISSAN QASHQAI

1.5L · Diesel · White

First Used: Feb 2013
MOT Expiry: 12 Feb 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TU53D Makes

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

BMW Common Problems NISSAN Common Problems

Frequently Asked Questions about TU53D Plates

Where was the TU53D number plate series registered?

Vehicles starting with TU53D were assigned to the DVLA regional office covering the UK. The first two letters (TU) identify the memory tag assigned by the DVLA.

What registration period is TU53D?

The TU53D age identifier corresponds to vehicles first registered between September 2003 to February 2004.

How can I check the MOT history of a TU53D 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.