Where was the JB17O number plate registered?

Vehicles with the JB17O prefix were first registered in the UK through official DVLA regional allocation tag JB.

What year was a JB17O registration plate released?

The JB17O series was issued during March 2017 to August 2017.

What is the MOT pass rate for JB17O vehicles?

Vehicles in the JB17O cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JB17O Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix JB17O.

Area Office: DVLA Region (JB)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

LAND ROVER 100% (2)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in JB17O Series(2 of 2 displayed)

Filter by 6th Letter:

JB17OLY

MOT Valid

LAND ROVER DISCOVERY SPORT

2.0L · Diesel · Grey

First Used: Jun 2017
MOT Expiry: 04 Jan 2027
Tax Status: —
Color: Grey

Check History & Specs

JB17OWL

MOT Valid

LAND ROVER DISCOVERY SPORT

2.0L · Diesel · White

First Used: Apr 2017
MOT Expiry: 16 Jul 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JB17O Makes

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

LAND ROVER Common Problems

Frequently Asked Questions about JB17O Plates

Where was the JB17O number plate series registered?

Vehicles starting with JB17O were assigned to the DVLA regional office covering the UK. The first two letters (JB) identify the memory tag assigned by the DVLA.

What registration period is JB17O?

The JB17O age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a JB17O 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.