Where was the JR16K number plate registered?

Vehicles with the JR16K prefix were first registered in the UK through official DVLA regional allocation tag JR.

What year was a JR16K registration plate released?

The JR16K series was issued during March 2016 to August 2016.

What is the MOT pass rate for JR16K vehicles?

Vehicles in the JR16K cohort demonstrate an average historical MOT pass rate of 100% based on 3 recorded DVSA inspections.

Batch Prefix Hub

JR16K Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix JR16K.

Area Office: DVLA Region (JR)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 50% (1)

BMW 50% (1)

100%

Average MOT Pass Rate

Based on 3 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in JR16K Series(2 of 2 displayed)

Filter by 6th Letter:

JR16KAR

MOT Expired

BMW 230I M SPORT AUTO

Petrol · Black

First Used: Sep 2024
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

JR16KOP

MOT Valid

AUDI S3 TFSI QUATTRO S-A

2.0L · Petrol · Blue

First Used: Oct 2020
MOT Expiry: 02 Dec 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JR16K Makes

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

AUDI Common Problems BMW Common Problems

Frequently Asked Questions about JR16K Plates

Where was the JR16K number plate series registered?

Vehicles starting with JR16K were assigned to the DVLA regional office covering the UK. The first two letters (JR) identify the memory tag assigned by the DVLA.

What registration period is JR16K?

The JR16K age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a JR16K 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.