Where was the CO20L number plate registered?

Vehicles with the CO20L prefix were first registered in Cardiff, Wales through official DVLA regional allocation tag CO.

What year was a CO20L registration plate released?

The CO20L series was issued during March 2020 to August 2020.

What is the MOT pass rate for CO20L vehicles?

Vehicles in the CO20L cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

CO20L Series Number Plates

UK vehicles registered in Cardiff, Wales during March 2020 to August 2020 with registration prefix CO20L.

Area Office: Cardiff (Cardiff, Wales)
Release Period: March 2020 to August 2020
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

RENAULT 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in CO20L Series(2 of 2 displayed)

CO20LET

MOT Valid

FORD FOCUS

1.0L · Petrol · Blue

First Used: Mar 2020
MOT Expiry: 16 Mar 2027
Tax Status: —
Color: Blue

Check History & Specs

CO20LEW

MOT Expired

RENAULT UNKNOWN

Diesel · Grey

First Used: Apr 2024
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for CO20L Makes

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

FORD Common Problems RENAULT Common Problems

Frequently Asked Questions about CO20L Plates

Where was the CO20L number plate series registered?

Vehicles starting with CO20L were assigned to the Cardiff covering Cardiff, Wales. The first two letters (CO) identify the memory tag assigned by the DVLA.

What registration period is CO20L?

The CO20L age identifier corresponds to vehicles first registered between March 2020 to August 2020.

How can I check the MOT history of a CO20L 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.