Where was the JO64X number plate registered?

Vehicles with the JO64X prefix were first registered in the UK through official DVLA regional allocation tag JO.

What year was a JO64X registration plate released?

The JO64X series was issued during September 2014 to February 2015.

What is the MOT pass rate for JO64X vehicles?

Vehicles in the JO64X cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JO64X Series Number Plates

UK vehicles during September 2014 to February 2015 with registration prefix JO64X.

Area Office: DVLA Region (JO)
Release Period: September 2014 to February 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

FORD 50% (1)

NISSAN 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

GREY1 vehicles

White1 vehicles

Active Plates in JO64X Series(2 of 2 displayed)

Filter by 6th Letter:

JO64XON

TaxedMOT Valid

FORD FIESTA

1.1L · PETROL · GREY

First Used: Sep 2017
MOT Expiry: 03 Sep 2026
Tax Status: Taxed
Color: GREY

Check History & Specs

JO64XXX

MOT Valid

NISSAN QASHQAI

1.6L · Diesel · White

First Used: Jan 2015
MOT Expiry: 31 Jan 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JO64X Makes

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

FORD Common Problems NISSAN Common Problems

Frequently Asked Questions about JO64X Plates

Where was the JO64X number plate series registered?

Vehicles starting with JO64X were assigned to the DVLA regional office covering the UK. The first two letters (JO) identify the memory tag assigned by the DVLA.

What registration period is JO64X?

The JO64X age identifier corresponds to vehicles first registered between September 2014 to February 2015.

How can I check the MOT history of a JO64X 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.