Where was the JM16P number plate registered?

Vehicles with the JM16P prefix were first registered in the UK through official DVLA regional allocation tag JM.

What year was a JM16P registration plate released?

The JM16P series was issued during March 2016 to August 2016.

What is the MOT pass rate for JM16P vehicles?

MOT pass rates for JM16P series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JM16P Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix JM16P.

Area Office: DVLA Region (JM)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

HYUNDAI 50% (1)

KIA 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in JM16P Series(2 of 2 displayed)

Filter by 6th Letter:

JM16PJM

MOT Expired

HYUNDAI INSTER 02 EV

Electric · Black

First Used: May 2025
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

JM16PWM

MOT Expired

KIA SPORTAGE GT-LINE S MHEV S-A

Hybrid Electric (Clean) · Blue

First Used: Jul 2024
MOT Expiry: —
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JM16P Makes

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

HYUNDAI Common Problems KIA Common Problems

Frequently Asked Questions about JM16P Plates

Where was the JM16P number plate series registered?

Vehicles starting with JM16P 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 JM16P?

The JM16P age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a JM16P 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.