Where was the JA71V number plate registered?

Vehicles with the JA71V prefix were first registered in the UK through official DVLA regional allocation tag JA.

What year was a JA71V registration plate released?

The JA71V series was issued during September 2021 to February 2022.

What is the MOT pass rate for JA71V vehicles?

Vehicles in the JA71V cohort demonstrate an average historical MOT pass rate of 100% based on 2 recorded DVSA inspections.

Batch Prefix Hub

JA71V Series Number Plates

UK vehicles during September 2021 to February 2022 with registration prefix JA71V.

Area Office: DVLA Region (JA)
Release Period: September 2021 to February 2022
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

HONDA 50% (1)

IVECO 50% (1)

100%

Average MOT Pass Rate

Based on 2 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in JA71V Series(2 of 2 displayed)

JA71VEN

MOT Valid

HONDA CMX 500 A-L

0.5L · Petrol · Grey

First Used: Sep 2021
MOT Expiry: 21 Sep 2026
Tax Status: —
Color: Grey

Check History & Specs

JA71VER

MOT Valid

IVECO DAILY 35S14B

2.3L · Diesel · White

First Used: Jun 2023
MOT Expiry: 07 Sep 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JA71V Makes

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

HONDA Common Problems IVECO Common Problems

Frequently Asked Questions about JA71V Plates

Where was the JA71V number plate series registered?

Vehicles starting with JA71V 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 JA71V?

The JA71V age identifier corresponds to vehicles first registered between September 2021 to February 2022.

How can I check the MOT history of a JA71V 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.