Where was the TR63J number plate registered?

Vehicles with the TR63J prefix were first registered in the UK through official DVLA regional allocation tag TR.

What year was a TR63J registration plate released?

The TR63J series was issued during September 2013 to February 2014.

What is the MOT pass rate for TR63J vehicles?

Vehicles in the TR63J cohort demonstrate an average historical MOT pass rate of 70% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TR63J Series Number Plates

UK vehicles during September 2013 to February 2014 with registration prefix TR63J.

Area Office: DVLA Region (TR)
Release Period: September 2013 to February 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 70%

TR63J Cohort Statistics

Popular Makes

FORD 100% (2)

70%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in TR63J Series(2 of 2 displayed)

Filter by 6th Letter:

TR63JOR

MOT Valid

FORD FIESTA

1.6L · Petrol · Black

First Used: Mar 2014
MOT Expiry: 12 Feb 2027
Tax Status: —
Color: Black

Check History & Specs

TR63JUL

MOT Valid

FORD FOCUS

1.0L · Petrol · Blue

First Used: Feb 2016
MOT Expiry: 26 Sep 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TR63J Makes

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

FORD Common Problems

Frequently Asked Questions about TR63J Plates

Where was the TR63J number plate series registered?

Vehicles starting with TR63J were assigned to the DVLA regional office covering the UK. The first two letters (TR) identify the memory tag assigned by the DVLA.

What registration period is TR63J?

The TR63J age identifier corresponds to vehicles first registered between September 2013 to February 2014.

How can I check the MOT history of a TR63J 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.