Where was the JG08V number plate registered?

Vehicles with the JG08V prefix were first registered in the UK through official DVLA regional allocation tag JG.

What year was a JG08V registration plate released?

The JG08V series was issued during March 2008 to August 2008.

What is the MOT pass rate for JG08V vehicles?

Vehicles in the JG08V cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JG08V Series Number Plates

UK vehicles during March 2008 to August 2008 with registration prefix JG08V.

Area Office: DVLA Region (JG)
Release Period: March 2008 to August 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

BMW 50% (1)

FORD 50% (1)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Silver1 vehicles

White1 vehicles

Active Plates in JG08V Series(2 of 2 displayed)

Filter by 6th Letter:

JG08VAN

MOT Valid

FORD TRANSIT CONNECT

1.8L · Diesel · White

First Used: Jul 2010
MOT Expiry: 13 Jul 2026
Tax Status: —
Color: White

Check History & Specs

JG08VTG

MOT Valid

BMW 3 SERIES

2.0L · Diesel · Silver

First Used: Jun 2008
MOT Expiry: 31 Jan 2027
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for JG08V Makes

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

BMW Common Problems FORD Common Problems

Frequently Asked Questions about JG08V Plates

Where was the JG08V number plate series registered?

Vehicles starting with JG08V were assigned to the DVLA regional office covering the UK. The first two letters (JG) identify the memory tag assigned by the DVLA.

What registration period is JG08V?

The JG08V age identifier corresponds to vehicles first registered between March 2008 to August 2008.

How can I check the MOT history of a JG08V 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.