Where was the JV14N number plate registered?

Vehicles with the JV14N prefix were first registered in the UK through official DVLA regional allocation tag JV.

What year was a JV14N registration plate released?

The JV14N series was issued during March 2014 to August 2014.

What is the MOT pass rate for JV14N vehicles?

Vehicles in the JV14N cohort demonstrate an average historical MOT pass rate of 70% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JV14N Series Number Plates

UK vehicles during March 2014 to August 2014 with registration prefix JV14N.

Area Office: DVLA Region (JV)
Release Period: March 2014 to August 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 70%

Popular Makes

HONDA 50% (1)

VAUXHALL 50% (1)

70%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

Red1 vehicles

Active Plates in JV14N Series(2 of 2 displayed)

Filter by 6th Letter:

JV14NES

MOT Valid

VAUXHALL CORSA

1.4L · Petrol · Red

First Used: Jun 2015
MOT Expiry: 03 Dec 2026
Tax Status: —
Color: Red

Check History & Specs

JV14NTS

MOT Valid

HONDA CIVIC

1.6L · Diesel · Grey

First Used: Dec 2016
MOT Expiry: 15 Jul 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JV14N Makes

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

HONDA Common Problems VAUXHALL Common Problems

Frequently Asked Questions about JV14N Plates

Where was the JV14N number plate series registered?

Vehicles starting with JV14N were assigned to the DVLA regional office covering the UK. The first two letters (JV) identify the memory tag assigned by the DVLA.

What registration period is JV14N?

The JV14N age identifier corresponds to vehicles first registered between March 2014 to August 2014.

How can I check the MOT history of a JV14N 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.