Where was the JV16A number plate registered?

Vehicles with the JV16A prefix were first registered in the UK through official DVLA regional allocation tag JV.

What year was a JV16A registration plate released?

The JV16A series was issued during March 2016 to August 2016.

What is the MOT pass rate for JV16A vehicles?

Vehicles in the JV16A cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JV16A Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix JV16A.

Area Office: DVLA Region (JV)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

FORD 50% (1)

VAUXHALL 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

Silver1 vehicles

Active Plates in JV16A Series(2 of 2 displayed)

JV16ARD

TaxedMOT Valid

FORD FIESTA

1.5L · Diesel · Blue

First Used: Mar 2016
MOT Expiry: 03 Jul 2027
Tax Status: Taxed
Color: Blue

Check History & Specs

JV16ARX

TaxedMOT Valid

VAUXHALL COMBO

1.6L · Diesel · Silver

First Used: Apr 2016
MOT Expiry: 16 Feb 2027
Tax Status: Taxed
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for JV16A Makes

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

FORD Common Problems VAUXHALL Common Problems

Frequently Asked Questions about JV16A Plates

Where was the JV16A number plate series registered?

Vehicles starting with JV16A 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 JV16A?

The JV16A age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a JV16A 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.