Where was the JX08D number plate registered?

Vehicles with the JX08D prefix were first registered in the UK through official DVLA regional allocation tag JX.

What year was a JX08D registration plate released?

The JX08D series was issued during March 2008 to August 2008.

What is the MOT pass rate for JX08D vehicles?

Vehicles in the JX08D cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JX08D Series Number Plates

UK vehicles during March 2008 to August 2008 with registration prefix JX08D.

Area Office: DVLA Region (JX)
Release Period: March 2008 to August 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

AUDI 50% (1)

NISSAN 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

BLUE1 vehicles

Active Plates in JX08D Series(2 of 2 displayed)

Filter by 6th Letter:

JX08DAN

TaxedMOT Valid

AUDI A5

2.7L · DIESEL · BLUE

First Used: Dec 2010
MOT Expiry: 30 Dec 2026
Tax Status: Taxed
Color: BLUE

Check History & Specs

JX08DOG

MOT Valid

NISSAN QASHQAI

1.5L · Petrol · Black

First Used: Jan 2012
MOT Expiry: 09 Mar 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JX08D Makes

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

AUDI Common Problems NISSAN Common Problems

Frequently Asked Questions about JX08D Plates

Where was the JX08D number plate series registered?

Vehicles starting with JX08D were assigned to the DVLA regional office covering the UK. The first two letters (JX) identify the memory tag assigned by the DVLA.

What registration period is JX08D?

The JX08D age identifier corresponds to vehicles first registered between March 2008 to August 2008.

How can I check the MOT history of a JX08D 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.