Where was the JV75J number plate registered?

Vehicles with the JV75J prefix were first registered in the UK through official DVLA regional allocation tag JV.

What year was a JV75J registration plate released?

The JV75J series was issued during September 2025 to February 2026.

What is the MOT pass rate for JV75J vehicles?

MOT pass rates for JV75J series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JV75J Series Number Plates

UK vehicles during September 2025 to February 2026 with registration prefix JV75J.

Area Office: DVLA Region (JV)
Release Period: September 2025 to February 2026
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

KIA 50% (1)

PORSCHE 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Grey1 vehicles

Silver1 vehicles

Active Plates in JV75J Series(2 of 2 displayed)

JV75JAP

MOT Expired

PORSCHE CAYENNE V6 AUTO

Petrol · Silver

First Used: Sep 2025
MOT Expiry: —
Tax Status: —
Color: Silver

Check History & Specs

JV75JAV

MOT Expired

KIA SPORTAGE 3 PHEV 4X4 AUTO

Hybrid Electric (Clean) · Grey

First Used: Mar 2026
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JV75J Makes

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

KIA Common Problems PORSCHE Common Problems

Frequently Asked Questions about JV75J Plates

Where was the JV75J number plate series registered?

Vehicles starting with JV75J were assigned to the DVLA regional office covering the UK. The first two letters (JV) identify the memory tag assigned by the DVLA.

What registration period is JV75J?

The JV75J age identifier corresponds to vehicles first registered between September 2025 to February 2026.

How can I check the MOT history of a JV75J 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.