Where was the JO71B number plate registered?

Vehicles with the JO71B prefix were first registered in the UK through official DVLA regional allocation tag JO.

What year was a JO71B registration plate released?

The JO71B series was issued during September 2021 to February 2022.

What is the MOT pass rate for JO71B vehicles?

Vehicles in the JO71B cohort demonstrate an average historical MOT pass rate of 75% based on 4 recorded DVSA inspections.

Batch Prefix Hub

JO71B Series Number Plates

UK vehicles during September 2021 to February 2022 with registration prefix JO71B.

Area Office: DVLA Region (JO)
Release Period: September 2021 to February 2022
Tracked in Batch: 2 vehicles
MOT Pass Rate: 75%

Popular Makes

MINI 50% (1)

PEUGEOT 50% (1)

75%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Blue2 vehicles

Active Plates in JO71B Series(2 of 2 displayed)

Filter by 6th Letter:

JO71BEE

MOT Expired

MINI COOPER S EXCLUSIVE AUTO

Petrol · Blue

First Used: Dec 2025
MOT Expiry: —
Tax Status: —
Color: Blue

Check History & Specs

JO71BHA

MOT Valid

PEUGEOT 3008

1.2L · Petrol · Blue

First Used: Sep 2021
MOT Expiry: 11 Dec 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JO71B Makes

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

MINI Common Problems PEUGEOT Common Problems

Frequently Asked Questions about JO71B Plates

Where was the JO71B number plate series registered?

Vehicles starting with JO71B 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 JO71B?

The JO71B age identifier corresponds to vehicles first registered between September 2021 to February 2022.

How can I check the MOT history of a JO71B 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.