Where was the TJ64E number plate registered?

Vehicles with the TJ64E prefix were first registered in the UK through official DVLA regional allocation tag TJ.

What year was a TJ64E registration plate released?

The TJ64E series was issued during September 2014 to February 2015.

What is the MOT pass rate for TJ64E vehicles?

Vehicles in the TJ64E cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TJ64E Series Number Plates

UK vehicles during September 2014 to February 2015 with registration prefix TJ64E.

Area Office: DVLA Region (TJ)
Release Period: September 2014 to February 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

AUDI 50% (1)

BMW 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in TJ64E Series(2 of 2 displayed)

Filter by 6th Letter:

TJ64EGJ

MOT Valid

BMW 420

2.0L · Diesel · Blue

First Used: Feb 2015
MOT Expiry: 02 Oct 2027
Tax Status: —
Color: Blue

Check History & Specs

TJ64ENG

TaxedMOT Valid

AUDI A1

1.6L · Diesel · Black

First Used: Sep 2014
MOT Expiry: 15 Sep 2027
Tax Status: Taxed
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TJ64E Makes

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

AUDI Common Problems BMW Common Problems

Frequently Asked Questions about TJ64E Plates

Where was the TJ64E number plate series registered?

Vehicles starting with TJ64E were assigned to the DVLA regional office covering the UK. The first two letters (TJ) identify the memory tag assigned by the DVLA.

What registration period is TJ64E?

The TJ64E age identifier corresponds to vehicles first registered between September 2014 to February 2015.

How can I check the MOT history of a TJ64E 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.