Where was the JC09Y number plate registered?

Vehicles with the JC09Y prefix were first registered in the UK through official DVLA regional allocation tag JC.

What year was a JC09Y registration plate released?

The JC09Y series was issued during March 2009 to August 2009.

What is the MOT pass rate for JC09Y vehicles?

Vehicles in the JC09Y cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

JC09Y Series Number Plates

UK vehicles during March 2009 to August 2009 with registration prefix JC09Y.

Area Office: DVLA Region (JC)
Release Period: March 2009 to August 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

MERCEDES-BENZ 50% (1)

YAMAHA 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Black2 vehicles

Active Plates in JC09Y Series(2 of 2 displayed)

Filter by 6th Letter:

JC09YAM

MOT Valid

YAMAHA MT-09 SP

0.8L · Petrol · Black

First Used: Mar 2019
MOT Expiry: 17 Apr 2026
Tax Status: —
Color: Black

Check History & Specs

JC09YYY

MOT Valid

MERCEDES-BENZ GLA

2.1L · Diesel · Black

First Used: Apr 2018
MOT Expiry: 22 Aug 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JC09Y Makes

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

MERCEDES-BENZ Common Problems YAMAHA Common Problems

Frequently Asked Questions about JC09Y Plates

Where was the JC09Y number plate series registered?

Vehicles starting with JC09Y were assigned to the DVLA regional office covering the UK. The first two letters (JC) identify the memory tag assigned by the DVLA.

What registration period is JC09Y?

The JC09Y age identifier corresponds to vehicles first registered between March 2009 to August 2009.

How can I check the MOT history of a JC09Y 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.