Where was the JJ07Y number plate registered?

Vehicles with the JJ07Y prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ07Y registration plate released?

The JJ07Y series was issued during March 2007 to August 2007.

What is the MOT pass rate for JJ07Y vehicles?

Vehicles in the JJ07Y cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JJ07Y Series Number Plates

UK vehicles during March 2007 to August 2007 with registration prefix JJ07Y.

Area Office: DVLA Region (JJ)
Release Period: March 2007 to August 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

VOLKSWAGEN 100% (2)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Grey1 vehicles

SILVER1 vehicles

Active Plates in JJ07Y Series(2 of 2 displayed)

Filter by 6th Letter:

JJ07YOU

MOT Valid

VOLKSWAGEN CADDY C20 TRENDLINE TDI

1.6L · Diesel · SILVER

First Used: Apr 2013
MOT Expiry: 11 Dec 2026
Tax Status: —
Color: SILVER

Check History & Specs

JJ07YYY

MOT Valid

VOLKSWAGEN GOLF

2.0L · Petrol · Grey

First Used: May 2010
MOT Expiry: 01 Dec 2026
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JJ07Y Makes

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

VOLKSWAGEN Common Problems

Frequently Asked Questions about JJ07Y Plates

Where was the JJ07Y number plate series registered?

Vehicles starting with JJ07Y 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 JJ07Y?

The JJ07Y age identifier corresponds to vehicles first registered between March 2007 to August 2007.

How can I check the MOT history of a JJ07Y 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.