JN60L Series Number Plates
UK vehicles during September 2010 to February 2011 with registration prefix JN60L.
- Area Office
- DVLA Region (JN)
- Release Period
- September 2010 to February 2011
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 81%
Average MOT Pass Rate
Based on 21 historical tests
Common Colors
Active Plates in JN60L Series(7 of 7 displayed)
AUDI Q2
1.0L · Petrol · Black
- First Used
- Aug 2021
- MOT Expiry
- 05 Aug 2027
- Tax Status
- —
- Color
- Black
MERCEDES-BENZ SPRINTER
2.1L · Diesel · White
- First Used
- May 2014
- MOT Expiry
- 26 Jul 2027
- Tax Status
- —
- Color
- White
MERCEDES-BENZ A 250 AMG LINE E AUTO
1.3L · Hybrid Electric (Clean) · White
- First Used
- Mar 2021
- MOT Expiry
- 18 Dec 2026
- Tax Status
- —
- Color
- White
BMW M 1000 R
1.0L · Petrol · Black
- First Used
- Apr 2023
- MOT Expiry
- 26 Apr 2027
- Tax Status
- Taxed
- Color
- Black
LAND ROVER RANGE ROVER SPORT
3.0L · Diesel · Blue
- First Used
- Jun 2011
- MOT Expiry
- 11 Sep 2026
- Tax Status
- —
- Color
- Blue
RENAULT TRAFIC LL30EXTRA SPT BLU DCI A
Diesel · Black
- First Used
- Mar 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
VAUXHALL CASCADA
1.4L · Petrol · White
- First Used
- Jan 2017
- MOT Expiry
- 16 Dec 2026
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for JN60L Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about JN60L Plates
Where was the JN60L number plate series registered?
Vehicles starting with JN60L were assigned to the DVLA regional office covering the UK. The first two letters (JN) identify the memory tag assigned by the DVLA.
What registration period is JN60L?
The JN60L age identifier corresponds to vehicles first registered between September 2010 to February 2011.
How can I check the MOT history of a JN60L 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.