Where was the TJ13P number plate registered?

Vehicles with the TJ13P prefix were first registered in the UK through official DVLA regional allocation tag TJ.

What year was a TJ13P registration plate released?

The TJ13P series was issued during March 2013 to August 2013.

What is the MOT pass rate for TJ13P vehicles?

Vehicles in the TJ13P cohort demonstrate an average historical MOT pass rate of 100% based on 1 recorded DVSA inspections.

Batch Prefix Hub

TJ13P Series Number Plates

UK vehicles during March 2013 to August 2013 with registration prefix TJ13P.

Area Office: DVLA Region (TJ)
Release Period: March 2013 to August 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

MG 50% (1)

100%

Average MOT Pass Rate

Based on 1 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in TJ13P Series(2 of 2 displayed)

Filter by 6th Letter:

TJ13PBJ

MOT Valid

MG 4 TROPHY

Electric · Black

First Used: Dec 2022
MOT Expiry: 21 Dec 2026
Tax Status: —
Color: Black

Check History & Specs

TJ13PEN

MOT Expired

BMW X2 SDRIVE20I M SPORT MHEV AUTO

Hybrid Electric (Clean) · White

First Used: Apr 2025
MOT Expiry: —
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TJ13P Makes

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

BMW Common Problems MG Common Problems

Frequently Asked Questions about TJ13P Plates

Where was the TJ13P number plate series registered?

Vehicles starting with TJ13P 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 TJ13P?

The TJ13P age identifier corresponds to vehicles first registered between March 2013 to August 2013.

How can I check the MOT history of a TJ13P 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.