Where was the JS12V number plate registered?

Vehicles with the JS12V prefix were first registered in the UK through official DVLA regional allocation tag JS.

What year was a JS12V registration plate released?

The JS12V series was issued during March 2012 to August 2012.

What is the MOT pass rate for JS12V vehicles?

Vehicles in the JS12V cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JS12V Series Number Plates

UK vehicles during March 2012 to August 2012 with registration prefix JS12V.

Area Office: DVLA Region (JS)
Release Period: March 2012 to August 2012
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

AUDI 50% (1)

VAUXHALL 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in JS12V Series(2 of 2 displayed)

Filter by 6th Letter:

JS12VLS

MOT Expired

AUDI Q5 S LN BLK ED 40TDI MHEV Q SA

Diesel · Blue

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

Check History & Specs

JS12VXR

MOT Valid

VAUXHALL CORSA

1.6L · Petrol · Black

First Used: Jun 2013
MOT Expiry: 16 Apr 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JS12V Makes

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

AUDI Common Problems VAUXHALL Common Problems

Frequently Asked Questions about JS12V Plates

Where was the JS12V number plate series registered?

Vehicles starting with JS12V 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 JS12V?

The JS12V age identifier corresponds to vehicles first registered between March 2012 to August 2012.

How can I check the MOT history of a JS12V 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.