This dataset contains the Camden, Barnet, Brent, City of London, City of Westminster, Haringey and Islington extract of the OS Open Names dataset.

Access point to mapped data. The retail frontage survey is not a complete survey of all shopping frontages in the borough. The survey area covers the Local Development Framework Town Centres, Neighbourhood Centres, Central London Frontages and some frontages in the Central London Local Areas. Data available annually from 2007.

This dataset contains on street crimes provided by the Police via their API (https://data.police.uk/docs/). The data is clipped to the London Borough of Camden boundary, and can contain up to fifteen types of street crime including bicycle theft, shoplifting and criminal damage. The London Borough of Camden does not maintain the content of this dataset.

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.

This dataset is the HMO Licensing Register for the London Borough of Camden.

This dataset contains all the schools in the London Borough of Camden and surrounding boroughs that appear in the EduBase database (managed by the Department for Education). Attribution includes School type, name, address and location; as well as information on pupil numbers and facilities.

The neighbourhood profiles are 22 data profiles that, collectively, cover the whole borough of Camden. The profiles contain comprehensive, verifiable and up-to-date statistics from a variety of sources about the community characteristics, assets and strengths, challenges and needs in each neighbourhood. They are designed to help the Council, other statutory partners and the VCS understand what is being delivered in small areas and the resources that already exist in each area, and identify any gaps.

The neighbourhoods are composites of lower super output areas (LSOAs), which are smaller than wards. The neighbourhoods do not conform to administrative boundaries or electoral wards. Their borders are instead based on the actual way that residents identify with particular areas and how they really move about within certain localities.

This is a dataset of a number of Data Sharing Agreements (DSAs) Camden has with other bodies.  A DSA is only used when the bodies do not have a contract, and are usually used between the council and another public sector organisation.  A DSA does not give the parties any legal rights to share the data: the sharing must already be legal.  DSAs are used to set out the terms and conditions to cover sharing of personal information for the reasons given in the DSA.  Some may be redacted due to security or legal reasons.  This is not a comprehensive set but we are working to add to it.  The Metropolitan Police/Council DSAs are being developed and more will be added in 2022 as they are launched.  For more information please contact DPA@camden.gov.uk

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.

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