Where was the JF10V number plate registered?

Vehicles with the JF10V prefix were first registered in the UK through official DVLA regional allocation tag JF.

What year was a JF10V registration plate released?

The JF10V series was issued during March 2010 to August 2010.

What is the MOT pass rate for JF10V vehicles?

Vehicles in the JF10V cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JF10V Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix JF10V.

Area Office: DVLA Region (JF)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

CITROEN 50% (1)

SKODA 50% (1)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in JF10V Series(2 of 2 displayed)

Filter by 6th Letter:

JF10VJF

MOT Valid

SKODA FABIA

1.2L · Petrol · White

First Used: May 2017
MOT Expiry: 05 Jun 2027
Tax Status: —
Color: White

Check History & Specs

JF10VPF

MOT Valid

CITROEN C1

1.2L · Petrol · Blue

First Used: Sep 2015
MOT Expiry: 28 Jun 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JF10V Makes

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

CITROEN Common Problems SKODA Common Problems

Frequently Asked Questions about JF10V Plates

Where was the JF10V number plate series registered?

Vehicles starting with JF10V were assigned to the DVLA regional office covering the UK. The first two letters (JF) identify the memory tag assigned by the DVLA.

What registration period is JF10V?

The JF10V age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a JF10V 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.