Where was the JS21N number plate registered?

Vehicles with the JS21N prefix were first registered in the UK through official DVLA regional allocation tag JS.

What year was a JS21N registration plate released?

The JS21N series was issued during March 2021 to August 2021.

What is the MOT pass rate for JS21N vehicles?

MOT pass rates for JS21N series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JS21N Series Number Plates

UK vehicles during March 2021 to August 2021 with registration prefix JS21N.

Area Office: DVLA Region (JS)
Release Period: March 2021 to August 2021
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

BMW 50% (1)

MERCEDES-BENZ 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Black1 vehicles

Purple1 vehicles

Active Plates in JS21N Series(2 of 2 displayed)

Filter by 6th Letter:

JS21NAG

MOT Valid

MERCEDES-BENZ CLA

1.3L · Petrol · Black

First Used: Jun 2021
MOT Expiry: 24 Feb 2027
Tax Status: —
Color: Black

Check History & Specs

JS21NEE

MOT Expired

BMW M135 XDRIVE AUTO

Petrol · Purple

First Used: Dec 2025
MOT Expiry: —
Tax Status: —
Color: Purple

Check History & Specs

Reliability & Common Problem Guides for JS21N Makes

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

BMW Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JS21N Plates

Where was the JS21N number plate series registered?

Vehicles starting with JS21N were assigned to the DVLA regional office covering the UK. The first two letters (JS) identify the memory tag assigned by the DVLA.

What registration period is JS21N?

The JS21N age identifier corresponds to vehicles first registered between March 2021 to August 2021.

How can I check the MOT history of a JS21N 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.