Where was the JK17B number plate registered?

Vehicles with the JK17B prefix were first registered in the UK through official DVLA regional allocation tag JK.

What year was a JK17B registration plate released?

The JK17B series was issued during March 2017 to August 2017.

What is the MOT pass rate for JK17B vehicles?

Vehicles in the JK17B cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JK17B Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix JK17B.

Area Office: DVLA Region (JK)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

FORD 50% (1)

LAND ROVER 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

White2 vehicles

Active Plates in JK17B Series(2 of 2 displayed)

Filter by 6th Letter:

JK17BOY

MOT Valid

FORD FIESTA

1.6L · Petrol · White

First Used: Mar 2017
MOT Expiry: 24 Feb 2027
Tax Status: —
Color: White

Check History & Specs

JK17BSK

MOT Valid

LAND ROVER RANGE ROVER

4.4L · Diesel · White

First Used: Oct 2017
MOT Expiry: 17 Oct 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JK17B Makes

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

FORD Common Problems LAND ROVER Common Problems

Frequently Asked Questions about JK17B Plates

Where was the JK17B number plate series registered?

Vehicles starting with JK17B were assigned to the DVLA regional office covering the UK. The first two letters (JK) identify the memory tag assigned by the DVLA.

What registration period is JK17B?

The JK17B age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a JK17B 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.