Where was the TJ15F number plate registered?

Vehicles with the TJ15F prefix were first registered in the UK through official DVLA regional allocation tag TJ.

What year was a TJ15F registration plate released?

The TJ15F series was issued during March 2015 to August 2015.

What is the MOT pass rate for TJ15F vehicles?

Vehicles in the TJ15F cohort demonstrate an average historical MOT pass rate of 83.3% based on 6 recorded DVSA inspections.

Batch Prefix Hub

TJ15F Series Number Plates

UK vehicles during March 2015 to August 2015 with registration prefix TJ15F.

Area Office: DVLA Region (TJ)
Release Period: March 2015 to August 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 83.3%

Popular Makes

MAXUS 50% (1)

MG 50% (1)

83.3%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Silver1 vehicles

White1 vehicles

Active Plates in TJ15F Series(2 of 2 displayed)

Filter by 6th Letter:

TJ15FEB

MOT Valid

MAXUS DELIVER 9

2.0L · Diesel · Silver

First Used: Jun 2021
MOT Expiry: 31 Jul 2027
Tax Status: —
Color: Silver

Check History & Specs

TJ15FUN

MOT Valid

MG ZS EXCLUSIVE EV

Electric · White

First Used: Mar 2020
MOT Expiry: 02 Mar 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TJ15F Makes

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

MAXUS Common Problems MG Common Problems

Frequently Asked Questions about TJ15F Plates

Where was the TJ15F number plate series registered?

Vehicles starting with TJ15F 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 TJ15F?

The TJ15F age identifier corresponds to vehicles first registered between March 2015 to August 2015.

How can I check the MOT history of a TJ15F 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.