Where was the JR09V number plate registered?

Vehicles with the JR09V prefix were first registered in the UK through official DVLA regional allocation tag JR.

What year was a JR09V registration plate released?

The JR09V series was issued during March 2009 to August 2009.

What is the MOT pass rate for JR09V vehicles?

Vehicles in the JR09V cohort demonstrate an average historical MOT pass rate of 83.3% based on 6 recorded DVSA inspections.

Batch Prefix Hub

JR09V Series Number Plates

UK vehicles during March 2009 to August 2009 with registration prefix JR09V.

Area Office: DVLA Region (JR)
Release Period: March 2009 to August 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 83.3%

Popular Makes

VAUXHALL 50% (1)

VOLKSWAGEN 50% (1)

83.3%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Blue2 vehicles

Active Plates in JR09V Series(2 of 2 displayed)

Filter by 6th Letter:

JR09VAN

MOT Valid

VOLKSWAGEN CADDY

2.0L · Diesel · Blue

First Used: Dec 2016
MOT Expiry: 18 Feb 2027
Tax Status: —
Color: Blue

Check History & Specs

JR09VXR

MOT Expired

VAUXHALL CORSA

1.6L · Petrol · Blue

First Used: Jun 2009
MOT Expiry: 24 Jun 2024
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JR09V Makes

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

VAUXHALL Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JR09V Plates

Where was the JR09V number plate series registered?

Vehicles starting with JR09V were assigned to the DVLA regional office covering the UK. The first two letters (JR) identify the memory tag assigned by the DVLA.

What registration period is JR09V?

The JR09V age identifier corresponds to vehicles first registered between March 2009 to August 2009.

How can I check the MOT history of a JR09V 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.