Where was the JP22D number plate registered?

Vehicles with the JP22D prefix were first registered in the UK through official DVLA regional allocation tag JP.

What year was a JP22D registration plate released?

The JP22D series was issued during March 2022 to August 2022.

What is the MOT pass rate for JP22D vehicles?

MOT pass rates for JP22D series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JP22D Series Number Plates

UK vehicles during March 2022 to August 2022 with registration prefix JP22D.

Area Office: DVLA Region (JP)
Release Period: March 2022 to August 2022
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

HYUNDAI 50% (1)

VOLKSWAGEN 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in JP22D Series(2 of 2 displayed)

Filter by 6th Letter:

JP22DAD

MOT Expired

VOLKSWAGEN ID4 STYLE EDITION

Electric · White

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

Check History & Specs

JP22DTP

MOT Expired

HYUNDAI KONA N LINE S EV

Electric · Blue

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

Check History & Specs

Reliability & Common Problem Guides for JP22D Makes

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

HYUNDAI Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JP22D Plates

Where was the JP22D number plate series registered?

Vehicles starting with JP22D were assigned to the DVLA regional office covering the UK. The first two letters (JP) identify the memory tag assigned by the DVLA.

What registration period is JP22D?

The JP22D age identifier corresponds to vehicles first registered between March 2022 to August 2022.

How can I check the MOT history of a JP22D 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.