Where was the JV05G number plate registered?

Vehicles with the JV05G prefix were first registered in the UK through official DVLA regional allocation tag JV.

What year was a JV05G registration plate released?

The JV05G series was issued during March 2005 to August 2005.

What is the MOT pass rate for JV05G vehicles?

Vehicles in the JV05G cohort demonstrate an average historical MOT pass rate of 60% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JV05G Series Number Plates

UK vehicles during March 2005 to August 2005 with registration prefix JV05G.

Area Office: DVLA Region (JV)
Release Period: March 2005 to August 2005
Tracked in Batch: 2 vehicles
MOT Pass Rate: 60%

Popular Makes

AUDI 50% (1)

JAGUAR 50% (1)

60%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

RED1 vehicles

White1 vehicles

Active Plates in JV05G Series(2 of 2 displayed)

Filter by 6th Letter:

JV05GAV

TaxedMOT Valid

AUDI A4

2.0L · Diesel · White

First Used: May 2011
MOT Expiry: 30 Jul 2027
Tax Status: Taxed
Color: White

Check History & Specs

JV05GGV

UntaxedMOT Valid

JAGUAR XE

2.0L · DIESEL · RED

First Used: May 2016
MOT Expiry: 12 Aug 2026
Tax Status: Untaxed
Color: RED

Check History & Specs

Reliability & Common Problem Guides for JV05G Makes

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

AUDI Common Problems JAGUAR Common Problems

Frequently Asked Questions about JV05G Plates

Where was the JV05G number plate series registered?

Vehicles starting with JV05G 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 JV05G?

The JV05G age identifier corresponds to vehicles first registered between March 2005 to August 2005.

How can I check the MOT history of a JV05G 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.