Where was the JS22G number plate registered?

Vehicles with the JS22G prefix were first registered in the UK through official DVLA regional allocation tag JS.

What year was a JS22G registration plate released?

The JS22G series was issued during March 2022 to August 2022.

What is the MOT pass rate for JS22G vehicles?

Vehicles in the JS22G cohort demonstrate an average historical MOT pass rate of 100% based on 2 recorded DVSA inspections.

Batch Prefix Hub

JS22G Series Number Plates

UK vehicles during March 2022 to August 2022 with registration prefix JS22G.

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

Popular Makes

FIAT 50% (1)

FORD 50% (1)

100%

Average MOT Pass Rate

Based on 2 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in JS22G Series(2 of 2 displayed)

Filter by 6th Letter:

JS22GEE

MOT Valid

FORD TRANSIT 310 TREND ECOBLUE

2.0L · Diesel · White

First Used: Jul 2022
MOT Expiry: 30 Jun 2027
Tax Status: —
Color: White

Check History & Specs

JS22GMS

MOT Valid

FIAT SWIFT

2.2L · Diesel · Grey

First Used: Dec 2022
MOT Expiry: 13 Dec 2026
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JS22G Makes

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

FIAT Common Problems FORD Common Problems

Frequently Asked Questions about JS22G Plates

Where was the JS22G number plate series registered?

Vehicles starting with JS22G 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 JS22G?

The JS22G age identifier corresponds to vehicles first registered between March 2022 to August 2022.

How can I check the MOT history of a JS22G 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.