Where was the JA13X number plate registered?

Vehicles with the JA13X prefix were first registered in the UK through official DVLA regional allocation tag JA.

What year was a JA13X registration plate released?

The JA13X series was issued during March 2013 to August 2013.

What is the MOT pass rate for JA13X vehicles?

Vehicles in the JA13X cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JA13X Series Number Plates

UK vehicles during March 2013 to August 2013 with registration prefix JA13X.

Area Office: DVLA Region (JA)
Release Period: March 2013 to August 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

JAGUAR 50% (1)

VAUXHALL 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JA13X Series(2 of 2 displayed)

Filter by 6th Letter:

JA13XON

MOT Valid

JAGUAR XF

2.0L · Diesel · Black

First Used: May 2016
MOT Expiry: 30 Sep 2027
Tax Status: —
Color: Black

Check History & Specs

JA13XSA

MOT Valid

VAUXHALL MOKKA

1.6L · Petrol · White

First Used: Mar 2017
MOT Expiry: 07 Aug 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JA13X Makes

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

JAGUAR Common Problems VAUXHALL Common Problems

Frequently Asked Questions about JA13X Plates

Where was the JA13X number plate series registered?

Vehicles starting with JA13X were assigned to the DVLA regional office covering the UK. The first two letters (JA) identify the memory tag assigned by the DVLA.

What registration period is JA13X?

The JA13X age identifier corresponds to vehicles first registered between March 2013 to August 2013.

How can I check the MOT history of a JA13X 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.