HR59H Series Number Plates
UK vehicles registered in Portsmouth, South East during September 2009 to February 2010 with registration prefix HR59H.
- Area Office
- Portsmouth (Portsmouth, South East)
- Release Period
- September 2009 to February 2010
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 72.4%
Average MOT Pass Rate
Based on 29 historical tests
Common Colors
Active Plates in HR59H Series(7 of 7 displayed)
VOLKSWAGEN TRANSPORTER
2.0L · Diesel · Brown
- First Used
- May 2014
- MOT Expiry
- 25 Jun 2026
- Tax Status
- —
- Color
- Brown
AUDI A3
2.0L · Diesel · Red
- First Used
- Jun 2012
- MOT Expiry
- 18 May 2027
- Tax Status
- —
- Color
- Red
SUZUKI SWIFT
1.5L · Petrol · White
- First Used
- Dec 2009
- MOT Expiry
- 12 Apr 2027
- Tax Status
- —
- Color
- White
FORD FIESTA
1.0L · Petrol · Black
- First Used
- May 2017
- MOT Expiry
- 26 Jan 2027
- Tax Status
- —
- Color
- Black
VOLVO XC40
2.0L · Diesel · Blue
- First Used
- Mar 2020
- MOT Expiry
- 09 Mar 2027
- Tax Status
- —
- Color
- Blue
BMW X5
3.0L · Diesel · Black
- First Used
- Sep 2009
- MOT Expiry
- 27 Jan 2027
- Tax Status
- —
- Color
- Black
LAND ROVER RANGE ROVER HSE PHEV AUTO
Hybrid Electric (Clean) · Grey
- First Used
- Oct 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for HR59H Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about HR59H Plates
Where was the HR59H number plate series registered?
Vehicles starting with HR59H were assigned to the Portsmouth covering Portsmouth, South East. The first two letters (HR) identify the memory tag assigned by the DVLA.
What registration period is HR59H?
The HR59H age identifier corresponds to vehicles first registered between September 2009 to February 2010.
How can I check the MOT history of a HR59H 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.