Where was the JC17G number plate registered?

Vehicles with the JC17G prefix were first registered in the UK through official DVLA regional allocation tag JC.

What year was a JC17G registration plate released?

The JC17G series was issued during March 2017 to August 2017.

What is the MOT pass rate for JC17G vehicles?

Vehicles in the JC17G cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JC17G Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix JC17G.

Area Office: DVLA Region (JC)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

CITROEN 50% (1)

MERCEDES-BENZ 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

White2 vehicles

Active Plates in JC17G Series(2 of 2 displayed)

Filter by 6th Letter:

JC17GEO

MOT Valid

MERCEDES-BENZ GLC

2.1L · Diesel · White

First Used: Jan 2018
MOT Expiry: 26 Jan 2027
Tax Status: —
Color: White

Check History & Specs

JC17GPC

MOT Valid

CITROEN RELAY

2.0L · Diesel · White

First Used: Apr 2017
MOT Expiry: 11 Dec 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JC17G Makes

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

CITROEN Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JC17G Plates

Where was the JC17G number plate series registered?

Vehicles starting with JC17G were assigned to the DVLA regional office covering the UK. The first two letters (JC) identify the memory tag assigned by the DVLA.

What registration period is JC17G?

The JC17G age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a JC17G 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.