Where was the JJ73G number plate registered?

Vehicles with the JJ73G prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ73G registration plate released?

The JJ73G series was issued during September 2023 to February 2024.

What is the MOT pass rate for JJ73G vehicles?

MOT pass rates for JJ73G series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JJ73G Series Number Plates

UK vehicles during September 2023 to February 2024 with registration prefix JJ73G.

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

Popular Makes

NISSAN 50% (1)

VOLKSWAGEN 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Blue2 vehicles

Active Plates in JJ73G Series(2 of 2 displayed)

Filter by 6th Letter:

JJ73GAL

MOT Expired

VOLKSWAGEN UP

Petrol · Blue

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

Check History & Specs

JJ73GMJ

MOT Expired

NISSAN QASHQAI TEKNA E-POWER AUTO

Hybrid Electric (Clean) · Blue

First Used: Jan 2024
MOT Expiry: —
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JJ73G Makes

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

NISSAN Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JJ73G Plates

Where was the JJ73G number plate series registered?

Vehicles starting with JJ73G 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 JJ73G?

The JJ73G age identifier corresponds to vehicles first registered between September 2023 to February 2024.

How can I check the MOT history of a JJ73G 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.