Where was the JM22L number plate registered?

Vehicles with the JM22L prefix were first registered in the UK through official DVLA regional allocation tag JM.

What year was a JM22L registration plate released?

The JM22L series was issued during March 2022 to August 2022.

What is the MOT pass rate for JM22L vehicles?

Vehicles in the JM22L cohort demonstrate an average historical MOT pass rate of 100% based on 1 recorded DVSA inspections.

Batch Prefix Hub

JM22L Series Number Plates

UK vehicles during March 2022 to August 2022 with registration prefix JM22L.

Area Office: DVLA Region (JM)
Release Period: March 2022 to August 2022
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

KIA 50% (1)

100%

Average MOT Pass Rate

Based on 1 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in JM22L Series(2 of 2 displayed)

Filter by 6th Letter:

JM22LEE

MOT Expired

BMW M2 AUTO

Petrol · Blue

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

Check History & Specs

JM22LJM

MOT Valid

KIA SPORTAGE 2 CRDI ISG MHEV S-A

1.6L · Hybrid Electric (Clean) · Grey

First Used: Mar 2022
MOT Expiry: 08 Jul 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JM22L Makes

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

BMW Common Problems KIA Common Problems

Frequently Asked Questions about JM22L Plates

Where was the JM22L number plate series registered?

Vehicles starting with JM22L were assigned to the DVLA regional office covering the UK. The first two letters (JM) identify the memory tag assigned by the DVLA.

What registration period is JM22L?

The JM22L age identifier corresponds to vehicles first registered between March 2022 to August 2022.

How can I check the MOT history of a JM22L 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.