Where was the PC17H number plate registered?

Vehicles with the PC17H prefix were first registered in Preston, North West through official DVLA regional allocation tag PC.

What year was a PC17H registration plate released?

The PC17H series was issued during March 2017 to August 2017.

What is the MOT pass rate for PC17H vehicles?

Vehicles in the PC17H cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

PC17H Series Number Plates

UK vehicles registered in Preston, North West during March 2017 to August 2017 with registration prefix PC17H.

Area Office: Preston (Preston, North West)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

FORD 100% (2)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Red1 vehicles

Silver1 vehicles

Active Plates in PC17H Series(2 of 2 displayed)

PC17HAL

MOT Expired

FORD FOCUS ST-LINE X MHEV AUTO

Hybrid Electric (Clean) · Silver

First Used: Jul 2024
MOT Expiry: —
Tax Status: —
Color: Silver

Check History & Specs

PC17HAZ

MOT Valid

FORD FIESTA

1.5L · Petrol · Red

First Used: Apr 2019
MOT Expiry: 08 Jan 2027
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for PC17H Makes

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

FORD Common Problems

Frequently Asked Questions about PC17H Plates

Where was the PC17H number plate series registered?

Vehicles starting with PC17H were assigned to the Preston covering Preston, North West. The first two letters (PC) identify the memory tag assigned by the DVLA.

What registration period is PC17H?

The PC17H age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a PC17H 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.