LH11E Series Number Plates
UK vehicles registered in Stanmore (North London) during March 2011 to August 2011 with registration prefix LH11E.
- Area Office
- Stanmore (North London) (Stanmore (North London))
- Release Period
- March 2011 to August 2011
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 82.8%
Average MOT Pass Rate
Based on 29 historical tests
Common Colors
Active Plates in LH11E Series(7 of 7 displayed)
FORD RANGER
2.0L · Diesel · Grey
- First Used
- Dec 2020
- MOT Expiry
- 28 Jan 2027
- Tax Status
- —
- Color
- Grey
MERCEDES-BENZ GLA
1.6L · Petrol · Grey
- First Used
- Jun 2019
- MOT Expiry
- 18 May 2027
- Tax Status
- —
- Color
- Grey
FORD KUGA
2.0L · Diesel · Black
- First Used
- Mar 2018
- MOT Expiry
- 26 Jan 2027
- Tax Status
- —
- Color
- Black
NISSAN JUKE
1.6L · Petrol · Silver
- First Used
- Dec 2016
- MOT Expiry
- 23 Nov 2026
- Tax Status
- —
- Color
- Silver
VOLVO XC40 + B4 MHEV AUTO
Hybrid Electric (Clean) · Black
- First Used
- Jul 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
AUDI Q7
3.0L · Diesel · Black
- First Used
- Nov 2014
- MOT Expiry
- 01 Dec 2026
- Tax Status
- —
- Color
- Black
FORD TRANSIT CUSTOM
2.0L · Diesel · Grey
- First Used
- Dec 2018
- MOT Expiry
- 06 Apr 2027
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for LH11E Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about LH11E Plates
Where was the LH11E number plate series registered?
Vehicles starting with LH11E were assigned to the Stanmore (North London) covering Stanmore (North London). The first two letters (LH) identify the memory tag assigned by the DVLA.
What registration period is LH11E?
The LH11E age identifier corresponds to vehicles first registered between March 2011 to August 2011.
How can I check the MOT history of a LH11E 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.