Where was the JO73L number plate registered?

Vehicles with the JO73L prefix were first registered in the UK through official DVLA regional allocation tag JO.

What year was a JO73L registration plate released?

The JO73L series was issued during September 2023 to February 2024.

What is the MOT pass rate for JO73L vehicles?

MOT pass rates for JO73L series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JO73L Series Number Plates

UK vehicles during September 2023 to February 2024 with registration prefix JO73L.

Area Office: DVLA Region (JO)
Release Period: September 2023 to February 2024
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

MAZDA 50% (1)

TOYOTA 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Blue1 vehicles

Red1 vehicles

Active Plates in JO73L Series(2 of 2 displayed)

JO73LEE

MOT Expired

MAZDA CX-30 GT SPORT MHEV

Petrol · Red

First Used: Sep 2023
MOT Expiry: —
Tax Status: —
Color: Red

Check History & Specs

JO73LEG

MOT Expired

TOYOTA YARIS DESIGN HEV CVT

Hybrid Electric (Clean) · Blue

First Used: Sep 2023
MOT Expiry: —
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JO73L Makes

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

MAZDA Common Problems TOYOTA Common Problems

Frequently Asked Questions about JO73L Plates

Where was the JO73L number plate series registered?

Vehicles starting with JO73L were assigned to the DVLA regional office covering the UK. The first two letters (JO) identify the memory tag assigned by the DVLA.

What registration period is JO73L?

The JO73L age identifier corresponds to vehicles first registered between September 2023 to February 2024.

How can I check the MOT history of a JO73L 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.