LU67C Series Number Plates
UK vehicles registered in Sidcup (South East London) during September 2017 to February 2018 with registration prefix LU67C.
- Area Office
- Sidcup (South East London) (Sidcup (South East London))
- Release Period
- September 2017 to February 2018
- Tracked in Batch
- 6 vehicles
- MOT Pass Rate
- 75%
Average MOT Pass Rate
Based on 12 historical tests
Common Colors
Active Plates in LU67C Series(6 of 6 displayed)
AUDI A1 S LINE BLACK ED 30 TFSI S-A
Petrol · Green
- First Used
- Jun 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Green
KIA SPORTAGE GT-LINE S ISG HEV A
Hybrid Electric (Clean) · Green
- First Used
- Jul 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Green
NISSAN QASHQAI TKNA+ DIGT MHEV 4X4CVT
1.3L · Hybrid Electric (Clean) · Black
- First Used
- Sep 2021
- MOT Expiry
- 30 Sep 2026
- Tax Status
- —
- Color
- Black
JAECOO 7 LUXURY PHEV AUTO
Hybrid Electric (Clean) · Black
- First Used
- Sep 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
TOYOTA AYGO
1.0L · Petrol · White
- First Used
- Sep 2017
- MOT Expiry
- 29 Sep 2026
- Tax Status
- —
- Color
- White
LAND ROVER RANGE ROVER VELAR
2.0L · Diesel · White
- First Used
- Dec 2017
- MOT Expiry
- 02 May 2024
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for LU67C Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about LU67C Plates
Where was the LU67C number plate series registered?
Vehicles starting with LU67C were assigned to the Sidcup (South East London) covering Sidcup (South East London). The first two letters (LU) identify the memory tag assigned by the DVLA.
What registration period is LU67C?
The LU67C age identifier corresponds to vehicles first registered between September 2017 to February 2018.
How can I check the MOT history of a LU67C 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.