Where was the JJ09O number plate registered?

Vehicles with the JJ09O prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ09O registration plate released?

The JJ09O series was issued during March 2009 to August 2009.

What is the MOT pass rate for JJ09O vehicles?

Vehicles in the JJ09O cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JJ09O Series Number Plates

UK vehicles during March 2009 to August 2009 with registration prefix JJ09O.

Area Office: DVLA Region (JJ)
Release Period: March 2009 to August 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

LEAPMOTOR 50% (1)

PEUGEOT 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Green1 vehicles

White1 vehicles

Active Plates in JJ09O Series(2 of 2 displayed)

Filter by 6th Letter:

JJ09OJJ

MOT Valid

PEUGEOT RCZ

2.0L · Diesel · White

First Used: Dec 2012
MOT Expiry: 16 Dec 2026
Tax Status: —
Color: White

Check History & Specs

JJ09ORD

MOT Expired

LEAPMOTOR C10

Electric · Green

First Used: Jul 2025
MOT Expiry: —
Tax Status: —
Color: Green

Check History & Specs

Reliability & Common Problem Guides for JJ09O Makes

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

LEAPMOTOR Common Problems PEUGEOT Common Problems

Frequently Asked Questions about JJ09O Plates

Where was the JJ09O number plate series registered?

Vehicles starting with JJ09O were assigned to the DVLA regional office covering the UK. The first two letters (JJ) identify the memory tag assigned by the DVLA.

What registration period is JJ09O?

The JJ09O age identifier corresponds to vehicles first registered between March 2009 to August 2009.

How can I check the MOT history of a JJ09O 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.