Where was the PV16F number plate registered?

Vehicles with the PV16F prefix were first registered in Carlisle, Cumbria through official DVLA regional allocation tag PV.

What year was a PV16F registration plate released?

The PV16F series was issued during March 2016 to August 2016.

What is the MOT pass rate for PV16F vehicles?

Vehicles in the PV16F cohort demonstrate an average historical MOT pass rate of 87.5% based on 8 recorded DVSA inspections.

Batch Prefix Hub

PV16F Series Number Plates

UK vehicles registered in Carlisle, Cumbria during March 2016 to August 2016 with registration prefix PV16F.

Area Office: Carlisle (Carlisle, Cumbria)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 87.5%

Popular Makes

VAUXHALL 100% (2)

87.5%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

Grey1 vehicles

Silver1 vehicles

Active Plates in PV16F Series(2 of 2 displayed)

Filter by 6th Letter:

PV16FRR

MOT Valid

VAUXHALL ASTRA

1.6L · Diesel · Grey

First Used: Jun 2016
MOT Expiry: 24 Apr 2026
Tax Status: —
Color: Grey

Check History & Specs

PV16FWP

MOT Valid

VAUXHALL CORSA

1.2L · Diesel · Silver

First Used: Apr 2016
MOT Expiry: 26 Sep 2026
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for PV16F Makes

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

VAUXHALL Common Problems

Frequently Asked Questions about PV16F Plates

Where was the PV16F number plate series registered?

Vehicles starting with PV16F were assigned to the Carlisle covering Carlisle, Cumbria. The first two letters (PV) identify the memory tag assigned by the DVLA.

What registration period is PV16F?

The PV16F age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a PV16F 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.