Where was the JX61L number plate registered?

Vehicles with the JX61L prefix were first registered in the UK through official DVLA regional allocation tag JX.

What year was a JX61L registration plate released?

The JX61L series was issued during September 2011 to February 2012.

What is the MOT pass rate for JX61L vehicles?

Vehicles in the JX61L cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JX61L Series Number Plates

UK vehicles during September 2011 to February 2012 with registration prefix JX61L.

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

Popular Makes

AUDI 50% (1)

MERCEDES-BENZ 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JX61L Series(2 of 2 displayed)

JX61LLS

MOT Valid

MERCEDES-BENZ C

2.1L · Diesel · Black

First Used: May 2016
MOT Expiry: 10 Mar 2027
Tax Status: —
Color: Black

Check History & Specs

JX61LLX

MOT Valid

AUDI A6

2.0L · Diesel · White

First Used: Sep 2015
MOT Expiry: 07 Sep 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JX61L Makes

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

AUDI Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JX61L Plates

Where was the JX61L number plate series registered?

Vehicles starting with JX61L were assigned to the DVLA regional office covering the UK. The first two letters (JX) identify the memory tag assigned by the DVLA.

What registration period is JX61L?

The JX61L age identifier corresponds to vehicles first registered between September 2011 to February 2012.

How can I check the MOT history of a JX61L 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.