Where was the TJ69B number plate registered?

Vehicles with the TJ69B prefix were first registered in the UK through official DVLA regional allocation tag TJ.

What year was a TJ69B registration plate released?

The TJ69B series was issued during September 2019 to February 2020.

What is the MOT pass rate for TJ69B vehicles?

Vehicles in the TJ69B cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TJ69B Series Number Plates

UK vehicles during September 2019 to February 2020 with registration prefix TJ69B.

Area Office: DVLA Region (TJ)
Release Period: September 2019 to February 2020
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FIAT 50% (1)

MG 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in TJ69B Series(2 of 2 displayed)

Filter by 6th Letter:

TJ69BAY

MOT Expired

FIAT SWIFT KON-TIKI 794 S-A

Diesel · Black

First Used: Mar 2025
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

TJ69BEL

MOT Valid

MG ZS

1.5L · Petrol · White

First Used: Sep 2019
MOT Expiry: 23 Nov 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TJ69B Makes

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

FIAT Common Problems MG Common Problems

Frequently Asked Questions about TJ69B Plates

Where was the TJ69B number plate series registered?

Vehicles starting with TJ69B 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 TJ69B?

The TJ69B age identifier corresponds to vehicles first registered between September 2019 to February 2020.

How can I check the MOT history of a TJ69B 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.