JH59C Series Number Plates
UK vehicles during September 2009 to February 2010 with registration prefix JH59C.
- Area Office
- DVLA Region (JH)
- Release Period
- September 2009 to February 2010
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 87%
Average MOT Pass Rate
Based on 23 historical tests
Common Colors
Active Plates in JH59C Series(7 of 7 displayed)
LONDON TAXIS INT TX4
2.5L · Diesel · Black
- First Used
- Sep 2014
- MOT Expiry
- 22 Mar 2027
- Tax Status
- —
- Color
- Black
TESLA MODEL 3 LONG RANGE AWD
ELECTRICITY · WHITE
- First Used
- Jun 2024
- MOT Expiry
- —
- Tax Status
- Taxed
- Color
- WHITE
BMW X2 XDRIVE25E M SPORT AUTO
1.5L · Hybrid Electric (Clean) · Black
- First Used
- Dec 2020
- MOT Expiry
- 21 Nov 2026
- Tax Status
- —
- Color
- Black
KIA STONIC
1.0L · PETROL · WHITE
- First Used
- Dec 2019
- MOT Expiry
- 02 Nov 2026
- Tax Status
- Taxed
- Color
- WHITE
VOLKSWAGEN SCIROCCO
2.0L · Diesel · White
- First Used
- Nov 2009
- MOT Expiry
- 02 Nov 2026
- Tax Status
- —
- Color
- White
FORD KUGA
2.0L · Diesel · Red
- First Used
- Nov 2018
- MOT Expiry
- 18 Sep 2027
- Tax Status
- —
- Color
- Red
HYUNDAI TUCSON PREMIUM T-GDI HEV AUTO
Hybrid Electric (Clean) · White
- First Used
- Jul 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for JH59C Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about JH59C Plates
Where was the JH59C number plate series registered?
Vehicles starting with JH59C were assigned to the DVLA regional office covering the UK. The first two letters (JH) identify the memory tag assigned by the DVLA.
What registration period is JH59C?
The JH59C age identifier corresponds to vehicles first registered between September 2009 to February 2010.
How can I check the MOT history of a JH59C 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.