Where was the TP17J number plate registered?

Vehicles with the TP17J prefix were first registered in the UK through official DVLA regional allocation tag TP.

What year was a TP17J registration plate released?

The TP17J series was issued during March 2017 to August 2017.

What is the MOT pass rate for TP17J vehicles?

Vehicles in the TP17J cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TP17J Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix TP17J.

Area Office: DVLA Region (TP)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

JAGUAR 50% (1)

MINI 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

BLACK1 vehicles

RED1 vehicles

Active Plates in TP17J Series(2 of 2 displayed)

Filter by 6th Letter:

TP17JAM

TaxedMOT Valid

MINI COUNTRYMAN

2.0L · PETROL · BLACK

First Used: Aug 2017
MOT Expiry: 08 Jul 2026
Tax Status: Taxed
Color: BLACK

Check History & Specs

TP17JMP

TaxedMOT Valid

JAGUAR XE

2.0L · DIESEL · RED

First Used: Mar 2017
MOT Expiry: 01 Mar 2027
Tax Status: Taxed
Color: RED

Check History & Specs

Reliability & Common Problem Guides for TP17J Makes

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

JAGUAR Common Problems MINI Common Problems

Frequently Asked Questions about TP17J Plates

Where was the TP17J number plate series registered?

Vehicles starting with TP17J were assigned to the DVLA regional office covering the UK. The first two letters (TP) identify the memory tag assigned by the DVLA.

What registration period is TP17J?

The TP17J age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a TP17J 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.