Where was the JS10V number plate registered?

Vehicles with the JS10V prefix were first registered in the UK through official DVLA regional allocation tag JS.

What year was a JS10V registration plate released?

The JS10V series was issued during March 2010 to August 2010.

What is the MOT pass rate for JS10V vehicles?

Vehicles in the JS10V cohort demonstrate an average historical MOT pass rate of 100% based on 1 recorded DVSA inspections.

Batch Prefix Hub

JS10V Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix JS10V.

Area Office: DVLA Region (JS)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

SKODA 50% (1)

100%

Average MOT Pass Rate

Based on 1 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in JS10V Series(2 of 2 displayed)

Filter by 6th Letter:

JS10VAN

MOT Valid

FORD TRANSIT CUSTOM

2.0L · Diesel · White

First Used: Jul 2019
MOT Expiry: 24 Jun 2027
Tax Status: —
Color: White

Check History & Specs

JS10VRS

MOT Valid

SKODA FABIA

1.4L · Petrol · Blue

First Used: Dec 2010
MOT Expiry: 07 Apr 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JS10V Makes

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

FORD Common Problems SKODA Common Problems

Frequently Asked Questions about JS10V Plates

Where was the JS10V number plate series registered?

Vehicles starting with JS10V 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 JS10V?

The JS10V age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a JS10V 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.