Where was the JT63L number plate registered?

Vehicles with the JT63L prefix were first registered in the UK through official DVLA regional allocation tag JT.

What year was a JT63L registration plate released?

The JT63L series was issued during September 2013 to February 2014.

What is the MOT pass rate for JT63L vehicles?

Vehicles in the JT63L cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JT63L Series Number Plates

UK vehicles during September 2013 to February 2014 with registration prefix JT63L.

Area Office: DVLA Region (JT)
Release Period: September 2013 to February 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

PEUGEOT 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

White2 vehicles

Active Plates in JT63L Series(2 of 2 displayed)

Filter by 6th Letter:

JT63LEW

MOT Valid

BMW 420

2.0L · Diesel · White

First Used: Dec 2013
MOT Expiry: 27 Feb 2027
Tax Status: —
Color: White

Check History & Specs

JT63LOR

MOT Valid

PEUGEOT PARTNER

1.6L · Diesel · White

First Used: Apr 2014
MOT Expiry: 21 Jun 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JT63L Makes

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

BMW Common Problems PEUGEOT Common Problems

Frequently Asked Questions about JT63L Plates

Where was the JT63L number plate series registered?

Vehicles starting with JT63L were assigned to the DVLA regional office covering the UK. The first two letters (JT) identify the memory tag assigned by the DVLA.

What registration period is JT63L?

The JT63L age identifier corresponds to vehicles first registered between September 2013 to February 2014.

How can I check the MOT history of a JT63L 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.