Where was the JT08U number plate registered?

Vehicles with the JT08U prefix were first registered in the UK through official DVLA regional allocation tag JT.

What year was a JT08U registration plate released?

The JT08U series was issued during March 2008 to August 2008.

What is the MOT pass rate for JT08U vehicles?

Vehicles in the JT08U cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JT08U Series Number Plates

UK vehicles during March 2008 to August 2008 with registration prefix JT08U.

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

Popular Makes

AUDI 50% (1)

VOLKSWAGEN 50% (1)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JT08U Series(2 of 2 displayed)

Filter by 6th Letter:

JT08URN

MOT Valid

AUDI Q2

1.0L · Petrol · White

First Used: Jan 2021
MOT Expiry: 15 Oct 2027
Tax Status: —
Color: White

Check History & Specs

JT08UTT

MOT Valid

VOLKSWAGEN PASSAT

2.0L · Diesel · Black

First Used: Apr 2018
MOT Expiry: 25 Apr 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JT08U Makes

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

AUDI Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JT08U Plates

Where was the JT08U number plate series registered?

Vehicles starting with JT08U were assigned to the DVLA regional office covering the UK. The first two letters (JT) identify the memory tag assigned by the DVLA.

What registration period is JT08U?

The JT08U age identifier corresponds to vehicles first registered between March 2008 to August 2008.

How can I check the MOT history of a JT08U 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.