Where was the TP10J number plate registered?

Vehicles with the TP10J prefix were first registered in the UK through official DVLA regional allocation tag TP.

What year was a TP10J registration plate released?

The TP10J series was issued during March 2010 to August 2010.

What is the MOT pass rate for TP10J vehicles?

Vehicles in the TP10J cohort demonstrate an average historical MOT pass rate of 66.7% based on 6 recorded DVSA inspections.

Batch Prefix Hub

TP10J Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix TP10J.

Area Office: DVLA Region (TP)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 66.7%

Popular Makes

LAND ROVER 100% (2)

66.7%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Black1 vehicles

Gold1 vehicles

Active Plates in TP10J Series(2 of 2 displayed)

Filter by 6th Letter:

TP10JLP

MOT Expired

LAND ROVER RANGE ROVER

3.6L · Diesel · Black

First Used: Mar 2010
MOT Expiry: 10 Aug 2023
Tax Status: —
Color: Black

Check History & Specs

TP10JSP

MOT Valid

LAND ROVER RANGE ROVER

4.4L · Diesel · Gold

First Used: Mar 2011
MOT Expiry: 09 Jul 2027
Tax Status: —
Color: Gold

Check History & Specs

Reliability & Common Problem Guides for TP10J Makes

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

LAND ROVER Common Problems

Frequently Asked Questions about TP10J Plates

Where was the TP10J number plate series registered?

Vehicles starting with TP10J 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 TP10J?

The TP10J age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a TP10J 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.