Where was the JN61P number plate registered?

Vehicles with the JN61P prefix were first registered in the UK through official DVLA regional allocation tag JN.

What year was a JN61P registration plate released?

The JN61P series was issued during September 2011 to February 2012.

What is the MOT pass rate for JN61P vehicles?

Vehicles in the JN61P cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JN61P Series Number Plates

UK vehicles during September 2011 to February 2012 with registration prefix JN61P.

Area Office: DVLA Region (JN)
Release Period: September 2011 to February 2012
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

AUDI 50% (1)

KIA 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Red1 vehicles

Active Plates in JN61P Series(2 of 2 displayed)

Filter by 6th Letter:

JN61PER

MOT Valid

KIA SPORTAGE

1.6L · Diesel · Red

First Used: Apr 2019
MOT Expiry: 25 Apr 2026
Tax Status: —
Color: Red

Check History & Specs

JN61PJN

MOT Valid

AUDI Q3

2.0L · Diesel · Black

First Used: Dec 2016
MOT Expiry: 25 Feb 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JN61P Makes

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

AUDI Common Problems KIA Common Problems

Frequently Asked Questions about JN61P Plates

Where was the JN61P number plate series registered?

Vehicles starting with JN61P were assigned to the DVLA regional office covering the UK. The first two letters (JN) identify the memory tag assigned by the DVLA.

What registration period is JN61P?

The JN61P age identifier corresponds to vehicles first registered between September 2011 to February 2012.

How can I check the MOT history of a JN61P 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.