Where was the JM71S number plate registered?

Vehicles with the JM71S prefix were first registered in the UK through official DVLA regional allocation tag JM.

What year was a JM71S registration plate released?

The JM71S series was issued during September 2021 to February 2022.

What is the MOT pass rate for JM71S vehicles?

Vehicles in the JM71S cohort demonstrate an average historical MOT pass rate of 100% based on 3 recorded DVSA inspections.

Batch Prefix Hub

JM71S Series Number Plates

UK vehicles during September 2021 to February 2022 with registration prefix JM71S.

Area Office: DVLA Region (JM)
Release Period: September 2021 to February 2022
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 100% (2)

100%

Average MOT Pass Rate

Based on 3 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in JM71S Series(2 of 2 displayed)

Filter by 6th Letter:

JM71SLM

MOT Valid

AUDI E-TRON BLACK EDITION 55 QUAT

Electric · Black

First Used: Feb 2022
MOT Expiry: 15 Feb 2027
Tax Status: —
Color: Black

Check History & Specs

JM71STM

MOT Valid

AUDI Q2 SPORT 30 TFSI

1.0L · Petrol · Blue

First Used: Jan 2023
MOT Expiry: 04 Dec 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JM71S Makes

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

AUDI Common Problems

Frequently Asked Questions about JM71S Plates

Where was the JM71S number plate series registered?

Vehicles starting with JM71S 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 JM71S?

The JM71S age identifier corresponds to vehicles first registered between September 2021 to February 2022.

How can I check the MOT history of a JM71S 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.