Where was the TJ13L number plate registered?

Vehicles with the TJ13L prefix were first registered in the UK through official DVLA regional allocation tag TJ.

What year was a TJ13L registration plate released?

The TJ13L series was issued during March 2013 to August 2013.

What is the MOT pass rate for TJ13L vehicles?

Vehicles in the TJ13L cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TJ13L Series Number Plates

UK vehicles during March 2013 to August 2013 with registration prefix TJ13L.

Area Office: DVLA Region (TJ)
Release Period: March 2013 to August 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

KIA 50% (1)

VAUXHALL 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in TJ13L Series(2 of 2 displayed)

Filter by 6th Letter:

TJ13LAJ

MOT Valid

VAUXHALL MOKKA

1.4L · Petrol · Grey

First Used: May 2013
MOT Expiry: 12 Sep 2027
Tax Status: —
Color: Grey

Check History & Specs

TJ13LMJ

MOT Valid

KIA SORENTO

2.2L · Diesel · Black

First Used: Jan 2017
MOT Expiry: 02 Mar 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TJ13L Makes

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

KIA Common Problems VAUXHALL Common Problems

Frequently Asked Questions about TJ13L Plates

Where was the TJ13L number plate series registered?

Vehicles starting with TJ13L 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 TJ13L?

The TJ13L age identifier corresponds to vehicles first registered between March 2013 to August 2013.

How can I check the MOT history of a TJ13L 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.