Where was the JJ73M number plate registered?

Vehicles with the JJ73M prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ73M registration plate released?

The JJ73M series was issued during September 2023 to February 2024.

What is the MOT pass rate for JJ73M vehicles?

MOT pass rates for JJ73M series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JJ73M Series Number Plates

UK vehicles during September 2023 to February 2024 with registration prefix JJ73M.

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

Popular Makes

AUDI 50% (1)

JEEP 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

White2 vehicles

Active Plates in JJ73M Series(2 of 2 displayed)

Filter by 6th Letter:

JJ73MCC

MOT Expired

JEEP COMPASS S PHEV AUTO

Hybrid Electric (Clean) · White

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

Check History & Specs

JJ73MMA

MOT Expired

AUDI A1 S LINE BLACK ED 25 TFSI

Petrol · White

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

Check History & Specs

Reliability & Common Problem Guides for JJ73M Makes

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

AUDI Common Problems JEEP Common Problems

Frequently Asked Questions about JJ73M Plates

Where was the JJ73M number plate series registered?

Vehicles starting with JJ73M 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 JJ73M?

The JJ73M age identifier corresponds to vehicles first registered between September 2023 to February 2024.

How can I check the MOT history of a JJ73M 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.