Where was the JL09V number plate registered?

Vehicles with the JL09V prefix were first registered in the UK through official DVLA regional allocation tag JL.

What year was a JL09V registration plate released?

The JL09V series was issued during March 2009 to August 2009.

What is the MOT pass rate for JL09V vehicles?

Vehicles in the JL09V cohort demonstrate an average historical MOT pass rate of 85.7% based on 7 recorded DVSA inspections.

Batch Prefix Hub

JL09V Series Number Plates

UK vehicles during March 2009 to August 2009 with registration prefix JL09V.

Area Office: DVLA Region (JL)
Release Period: March 2009 to August 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 85.7%

Popular Makes

AUDI 50% (1)

KIA 50% (1)

85.7%

Average MOT Pass Rate

Based on 7 historical tests

Common Colors

Blue2 vehicles

Active Plates in JL09V Series(2 of 2 displayed)

Filter by 6th Letter:

JL09VEL

MOT Valid

AUDI Q5

3.0L · Diesel · Blue

First Used: Jul 2015
MOT Expiry: 20 Sep 2026
Tax Status: —
Color: Blue

Check History & Specs

JL09VLL

MOT Valid

KIA SPORTAGE GTLN S CRDI MHEV4X4SA

1.6L · Hybrid Electric (Clean) · Blue

First Used: Jan 2022
MOT Expiry: 20 Jan 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JL09V Makes

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

AUDI Common Problems KIA Common Problems

Frequently Asked Questions about JL09V Plates

Where was the JL09V number plate series registered?

Vehicles starting with JL09V were assigned to the DVLA regional office covering the UK. The first two letters (JL) identify the memory tag assigned by the DVLA.

What registration period is JL09V?

The JL09V age identifier corresponds to vehicles first registered between March 2009 to August 2009.

How can I check the MOT history of a JL09V 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.