Where was the JX73J number plate registered?

Vehicles with the JX73J prefix were first registered in the UK through official DVLA regional allocation tag JX.

What year was a JX73J registration plate released?

The JX73J series was issued during September 2023 to February 2024.

What is the MOT pass rate for JX73J vehicles?

MOT pass rates for JX73J series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JX73J Series Number Plates

UK vehicles during September 2023 to February 2024 with registration prefix JX73J.

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

Popular Makes

FORD 50% (1)

SKODA 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Green1 vehicles

Grey1 vehicles

Active Plates in JX73J Series(2 of 2 displayed)

JX73JAM

MOT Expired

SKODA KAROQ SE L EDITION TSI S-A

Petrol · Grey

First Used: Oct 2025
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

JX73JAX

MOT Expired

FORD KUGA ACTIVE PHEV CVT

Hybrid Electric (Clean) · Green

First Used: Jul 2025
MOT Expiry: —
Tax Status: —
Color: Green

Check History & Specs

Reliability & Common Problem Guides for JX73J Makes

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

FORD Common Problems SKODA Common Problems

Frequently Asked Questions about JX73J Plates

Where was the JX73J number plate series registered?

Vehicles starting with JX73J were assigned to the DVLA regional office covering the UK. The first two letters (JX) identify the memory tag assigned by the DVLA.

What registration period is JX73J?

The JX73J age identifier corresponds to vehicles first registered between September 2023 to February 2024.

How can I check the MOT history of a JX73J 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.