Where was the JJ73L number plate registered?

Vehicles with the JJ73L prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ73L registration plate released?

The JJ73L series was issued during September 2023 to February 2024.

What is the MOT pass rate for JJ73L vehicles?

MOT pass rates for JJ73L series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JJ73L Series Number Plates

UK vehicles during September 2023 to February 2024 with registration prefix JJ73L.

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

Popular Makes

DUCATI 50% (1)

VOLKSWAGEN 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Black1 vehicles

Red1 vehicles

Active Plates in JJ73L Series(2 of 2 displayed)

Filter by 6th Letter:

JJ73LAM

MOT Expired

VOLKSWAGEN GOLF LIFE TSI

Petrol · Black

First Used: Feb 2024
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

JJ73LFC

MOT Expired

DUCATI DIAVEL V4

Petrol · Red

First Used: Jun 2024
MOT Expiry: —
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for JJ73L Makes

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

DUCATI Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JJ73L Plates

Where was the JJ73L number plate series registered?

Vehicles starting with JJ73L were assigned to the DVLA regional office covering the UK. The first two letters (JJ) identify the memory tag assigned by the DVLA.

What registration period is JJ73L?

The JJ73L age identifier corresponds to vehicles first registered between September 2023 to February 2024.

How can I check the MOT history of a JJ73L 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.