Where was the JP07Y number plate registered?

Vehicles with the JP07Y prefix were first registered in the UK through official DVLA regional allocation tag JP.

What year was a JP07Y registration plate released?

The JP07Y series was issued during March 2007 to August 2007.

What is the MOT pass rate for JP07Y vehicles?

Vehicles in the JP07Y cohort demonstrate an average historical MOT pass rate of 100% based on 6 recorded DVSA inspections.

Batch Prefix Hub

JP07Y Series Number Plates

UK vehicles during March 2007 to August 2007 with registration prefix JP07Y.

Area Office: DVLA Region (JP)
Release Period: March 2007 to August 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 50% (1)

CUPRA 50% (1)

100%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in JP07Y Series(2 of 2 displayed)

Filter by 6th Letter:

JP07YAZ

MOT Valid

AUDI A1

1.0L · Petrol · Grey

First Used: Apr 2019
MOT Expiry: 28 Oct 2026
Tax Status: —
Color: Grey

Check History & Specs

JP07YRP

MOT Valid

CUPRA FORMENTOR V2 TSI S-A

1.5L · Petrol · Black

First Used: Sep 2022
MOT Expiry: 31 Aug 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JP07Y Makes

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

AUDI Common Problems CUPRA Common Problems

Frequently Asked Questions about JP07Y Plates

Where was the JP07Y number plate series registered?

Vehicles starting with JP07Y were assigned to the DVLA regional office covering the UK. The first two letters (JP) identify the memory tag assigned by the DVLA.

What registration period is JP07Y?

The JP07Y age identifier corresponds to vehicles first registered between March 2007 to August 2007.

How can I check the MOT history of a JP07Y 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.