Where was the TA52X number plate registered?

Vehicles with the TA52X prefix were first registered in the UK through official DVLA regional allocation tag TA.

What year was a TA52X registration plate released?

The TA52X series was issued during September 2002 to February 2003.

What is the MOT pass rate for TA52X vehicles?

Vehicles in the TA52X cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TA52X Series Number Plates

UK vehicles during September 2002 to February 2003 with registration prefix TA52X.

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

Popular Makes

AUDI 50% (1)

MAZDA 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey1 vehicles

Red1 vehicles

Active Plates in TA52X Series(2 of 2 displayed)

Filter by 6th Letter:

TA52XHA

MOT Valid

MAZDA CX-5

2.2L · Diesel · Red

First Used: Jun 2014
MOT Expiry: 22 Jul 2027
Tax Status: —
Color: Red

Check History & Specs

TA52XXX

MOT Valid

AUDI Q5

3.0L · Diesel · Grey

First Used: Dec 2012
MOT Expiry: 21 May 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TA52X Makes

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

AUDI Common Problems MAZDA Common Problems

Frequently Asked Questions about TA52X Plates

Where was the TA52X number plate series registered?

Vehicles starting with TA52X were assigned to the DVLA regional office covering the UK. The first two letters (TA) identify the memory tag assigned by the DVLA.

What registration period is TA52X?

The TA52X age identifier corresponds to vehicles first registered between September 2002 to February 2003.

How can I check the MOT history of a TA52X 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.