Where was the JV07D number plate registered?

Vehicles with the JV07D prefix were first registered in the UK through official DVLA regional allocation tag JV.

What year was a JV07D registration plate released?

The JV07D series was issued during March 2007 to August 2007.

What is the MOT pass rate for JV07D vehicles?

Vehicles in the JV07D cohort demonstrate an average historical MOT pass rate of 100% based on 8 recorded DVSA inspections.

Batch Prefix Hub

JV07D Series Number Plates

UK vehicles during March 2007 to August 2007 with registration prefix JV07D.

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

Popular Makes

NISSAN 50% (1)

PORSCHE 50% (1)

100%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

Red1 vehicles

Silver1 vehicles

Active Plates in JV07D Series(2 of 2 displayed)

Filter by 6th Letter:

JV07DAD

MOT Valid

NISSAN QASHQAI

1.6L · Petrol · Red

First Used: Nov 2017
MOT Expiry: 11 Mar 2027
Tax Status: —
Color: Red

Check History & Specs

JV07DEB

MOT Expired

PORSCHE PANAMERA

3.0L · Diesel · Silver

First Used: Nov 2012
MOT Expiry: 09 Feb 2025
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for JV07D Makes

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

NISSAN Common Problems PORSCHE Common Problems

Frequently Asked Questions about JV07D Plates

Where was the JV07D number plate series registered?

Vehicles starting with JV07D were assigned to the DVLA regional office covering the UK. The first two letters (JV) identify the memory tag assigned by the DVLA.

What registration period is JV07D?

The JV07D age identifier corresponds to vehicles first registered between March 2007 to August 2007.

How can I check the MOT history of a JV07D 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.