This dataset contains the parking bays location in the London Borough of Camden. A parking bay consists of a number of parking spaces, therefore individual parking spaces cannot be identified in this dataset, however the attribution includes the approximate length of the parking bay in metres, and the approximate number of spaces in the parking bay. Other attribution includes restriction type, times of operation, maximum stay, tariff, road name and CPZ (Controlled Parking Zone). The Easting and Northing (and Longitude and Latitude) attributes are automatically calculated based on an arbitrary node along the polyline geometry of the parking bay; the WKT (Well Known Text) attributes can be used to redraw the full extent of each parking bay using a GIS (Geographic Information System).

This dataset contains transactional penalty charge notice data held in the London Borough of Camden's parking management system; inclusive of penalty charge notices issued by Civil Enforcement Officers on street and those issued by Civil Enforcement Officers via CCTV. Attribution includes contravention code, ticket type, street, parking restriction, vehicle category and status of case.

Where possible, the approximate location of the PCN has been captured. The 'Spatial Accuracy' column can be used to determine what level of location has been captured:

Civil Enforcement Officer GPS Location = the GPS location reported by the CEO's handheld device
Fixed CCTV Camera = the location of the CCTV camera, this could be many metres from the vehicle in contravention
Unknown = No location has been captured

This view shows planning applications received in the last seven days by the London Borough of Camden. It updates daily.

Planning application extents are captured against the OS MasterMap product, due to licensing restrictions with this product, this dataset is represented as point geometry, located to the nearest building in the OS Open Map-Local product. Attribution includes application number, development address, development description, registered date, decision date and case officer.

WARNING: This register is intended for the purpose of identifying licensed HMOs and management arrangements in the London Borough of Camden. It is not intended for marketing purposes and none of the individuals or organisations mentioned within this register have given their consent for such use. If you receive unsolicited direct marketing from agencies, please contact them directly and ask them to stop.

The maximum permitted number of persons has been determined following an inspection. Other background data relating to number of bedrooms, amenities etc. has been populated according to the application as submitted. This may not represent the actual number of usable bedrooms and facilities permitted under the final licence subsequently granted.

The Council's Freedom of Information Act and Environmental Information Regulations responses, from August 2017.

This dataset contains the National Statistics Postcode Lookup (NSPL) for the United Kingdom. The NSPL relates current postcodes to a range of current statutory administrative, electoral, health and other statistical geographies via ‘best-fit’ allocation from the 2011 Census output areas. It supports the production of area based statistics from postcoded data. The NSPL is produced by ONS Geography, which provides geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations.

It's free and easy to recycle your real Christmas tree in Camden! Our Collection sites will be open across the borough from 2 – 14th January 2020. If you live on a Camden Council estate, please look out for details locally of where to recycle your Christmas tree. Please note: Dumping your tree on the street is fly-tipping, which can lead to a £400 on-the-spot fine.

This dataset contains planning applications in the London Borough of Camden dating back to 01/01/2010. Planning application extents are captured against the OS MasterMap product, due to licensing restrictions with this product, this dataset is represented as point geometry, located to the nearest postcode (derived from the OS Code-Point Open product). Attribution includes application number, development address, development description, registered date, decision date and case officer.