Where was the CG61H number plate registered?

Vehicles with the CG61H prefix were first registered in Cardiff, Wales through official DVLA regional allocation tag CG.

What year was a CG61H registration plate released?

The CG61H series was issued during September 2011 to February 2012.

What is the MOT pass rate for CG61H vehicles?

Vehicles in the CG61H cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

CG61H Series Number Plates

UK vehicles registered in Cardiff, Wales during September 2011 to February 2012 with registration prefix CG61H.

Area Office: Cardiff (Cardiff, Wales)
Release Period: September 2011 to February 2012
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

KIA 100% (2)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black2 vehicles

Active Plates in CG61H Series(2 of 2 displayed)

Filter by 6th Letter:

CG61HAN

MOT Valid

KIA RIO

1.2L · Petrol · Black

First Used: Nov 2015
MOT Expiry: 02 Oct 2026
Tax Status: —
Color: Black

Check History & Specs

CG61HJG

MOT Valid

KIA OPTIMA

1.7L · Diesel · Black

First Used: Oct 2016
MOT Expiry: 18 Oct 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for CG61H Makes

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

KIA Common Problems

Frequently Asked Questions about CG61H Plates

Where was the CG61H number plate series registered?

Vehicles starting with CG61H were assigned to the Cardiff covering Cardiff, Wales. The first two letters (CG) identify the memory tag assigned by the DVLA.

What registration period is CG61H?

The CG61H age identifier corresponds to vehicles first registered between September 2011 to February 2012.

How can I check the MOT history of a CG61H 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.