Where was the JG16H number plate registered?

Vehicles with the JG16H prefix were first registered in the UK through official DVLA regional allocation tag JG.

What year was a JG16H registration plate released?

The JG16H series was issued during March 2016 to August 2016.

What is the MOT pass rate for JG16H vehicles?

Vehicles in the JG16H cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JG16H Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix JG16H.

Area Office: DVLA Region (JG)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

DACIA 50% (1)

MERCEDES-BENZ 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in JG16H Series(2 of 2 displayed)

Filter by 6th Letter:

JG16HAM

MOT Valid

MERCEDES-BENZ C

1.5L · Petrol · Grey

First Used: Feb 2019
MOT Expiry: 07 Sep 2027
Tax Status: —
Color: Grey

Check History & Specs

JG16HJG

MOT Valid

DACIA SANDERO

1.5L · Diesel · Blue

First Used: Mar 2016
MOT Expiry: 24 Feb 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JG16H Makes

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

DACIA Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JG16H Plates

Where was the JG16H number plate series registered?

Vehicles starting with JG16H were assigned to the DVLA regional office covering the UK. The first two letters (JG) identify the memory tag assigned by the DVLA.

What registration period is JG16H?

The JG16H age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a JG16H 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.