Where was the JO73X number plate registered?

Vehicles with the JO73X prefix were first registered in the UK through official DVLA regional allocation tag JO.

What year was a JO73X registration plate released?

The JO73X series was issued during September 2023 to February 2024.

What is the MOT pass rate for JO73X vehicles?

MOT pass rates for JO73X series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JO73X Series Number Plates

UK vehicles during September 2023 to February 2024 with registration prefix JO73X.

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

Popular Makes

CUPRA 50% (1)

NISSAN 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Blue1 vehicles

Silver1 vehicles

Active Plates in JO73X Series(2 of 2 displayed)

JO73XXE

MOT Expired

CUPRA BORN V1 EV

Electric · Silver

First Used: Jan 2026
MOT Expiry: —
Tax Status: —
Color: Silver

Check History & Specs

JO73XXX

MOT Expired

NISSAN QASHQAI TEKNA DIG-T MHEV

Hybrid Electric (Clean) · Blue

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

Check History & Specs

Reliability & Common Problem Guides for JO73X Makes

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

CUPRA Common Problems NISSAN Common Problems

Frequently Asked Questions about JO73X Plates

Where was the JO73X number plate series registered?

Vehicles starting with JO73X 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 JO73X?

The JO73X age identifier corresponds to vehicles first registered between September 2023 to February 2024.

How can I check the MOT history of a JO73X 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.