Where was the TL17J number plate registered?

Vehicles with the TL17J prefix were first registered in the UK through official DVLA regional allocation tag TL.

What year was a TL17J registration plate released?

The TL17J series was issued during March 2017 to August 2017.

What is the MOT pass rate for TL17J vehicles?

Vehicles in the TL17J cohort demonstrate an average historical MOT pass rate of 70% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TL17J Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix TL17J.

Area Office: DVLA Region (TL)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 70%

Popular Makes

MERCEDES-BENZ 50% (1)

SEAT 50% (1)

70%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

GREY1 vehicles

WHITE1 vehicles

Active Plates in TL17J Series(2 of 2 displayed)

TL17JAM

TaxedMOT Valid

SEAT IBIZA

1.0L · PETROL · GREY

First Used: Oct 2017
MOT Expiry: 01 Jul 2027
Tax Status: Taxed
Color: GREY

Check History & Specs

TL17JAX

TaxedMOT Valid

MERCEDES-BENZ A-CLASS

1.5L · DIESEL · WHITE

First Used: May 2017
MOT Expiry: 05 May 2027
Tax Status: Taxed
Color: WHITE

Check History & Specs

Reliability & Common Problem Guides for TL17J Makes

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

MERCEDES-BENZ Common Problems SEAT Common Problems

Frequently Asked Questions about TL17J Plates

Where was the TL17J number plate series registered?

Vehicles starting with TL17J were assigned to the DVLA regional office covering the UK. The first two letters (TL) identify the memory tag assigned by the DVLA.

What registration period is TL17J?

The TL17J age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a TL17J 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.