Where was the CF09N number plate registered?

Vehicles with the CF09N prefix were first registered in Cardiff, Wales through official DVLA regional allocation tag CF.

What year was a CF09N registration plate released?

The CF09N series was issued during March 2009 to August 2009.

What is the MOT pass rate for CF09N vehicles?

Vehicles in the CF09N cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

CF09N Series Number Plates

UK vehicles registered in Cardiff, Wales during March 2009 to August 2009 with registration prefix CF09N.

Area Office: Cardiff (Cardiff, Wales)
Release Period: March 2009 to August 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

FORD 50% (1)

MG 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black2 vehicles

Active Plates in CF09N Series(2 of 2 displayed)

Filter by 6th Letter:

CF09NAN

MOT Valid

FORD FOCUS

1.6L · Petrol · Black

First Used: Mar 2011
MOT Expiry: 22 Feb 2027
Tax Status: —
Color: Black

Check History & Specs

CF09NEL

MOT Valid

MG ZS

1.0L · Petrol · Black

First Used: Nov 2019
MOT Expiry: 09 Nov 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for CF09N Makes

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

FORD Common Problems MG Common Problems

Frequently Asked Questions about CF09N Plates

Where was the CF09N number plate series registered?

Vehicles starting with CF09N were assigned to the Cardiff covering Cardiff, Wales. The first two letters (CF) identify the memory tag assigned by the DVLA.

What registration period is CF09N?

The CF09N age identifier corresponds to vehicles first registered between March 2009 to August 2009.

How can I check the MOT history of a CF09N 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.