Where was the JJ16L number plate registered?

Vehicles with the JJ16L prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ16L registration plate released?

The JJ16L series was issued during March 2016 to August 2016.

What is the MOT pass rate for JJ16L vehicles?

Vehicles in the JJ16L cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JJ16L Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix JJ16L.

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

Popular Makes

FIAT 50% (1)

VOLKSWAGEN 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in JJ16L Series(2 of 2 displayed)

Filter by 6th Letter:

JJ16LES

MOT Valid

VOLKSWAGEN TRANSPORTER

2.0L · Diesel · White

First Used: Dec 2016
MOT Expiry: 06 Dec 2026
Tax Status: —
Color: White

Check History & Specs

JJ16LLL

MOT Valid

FIAT 500X

1.4L · Petrol · Grey

First Used: Oct 2016
MOT Expiry: 18 Oct 2026
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JJ16L Makes

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

FIAT Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JJ16L Plates

Where was the JJ16L number plate series registered?

Vehicles starting with JJ16L were assigned to the DVLA regional office covering the UK. The first two letters (JJ) identify the memory tag assigned by the DVLA.

What registration period is JJ16L?

The JJ16L age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a JJ16L 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.