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

This dataset contains a list of Camden's housing stock; attributes include the property type, number of bedrooms and approximate location. Location is based on the centre point of the housing estate the property resides in; estates which contain less than twenty properties do not have a location to provide anonymity to the tenant.

This dataset gives locations for all Camden Housing Estates with 20 or more units (tenanted, leasehold or non-residential) in the national grid (easting/northing) format and latitude and longitude. It is derived from the housing stock data at https://opendata.camden.gov.uk/Housing/Camden-Housing-Stock/pkzy-2qkt.

This dataset contains locations of Council owned trees on highways and in parks and open spaces in the borough. The data is collected during cyclical tree inspections by Camden tree officers. Each point contains tree species, height, spread, diameter at breast height (DBH), and maturity. Tree sequence number attached to each tree is site specific.

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.

The data shows property and bid information for homes advertised by the London Borough of Camden on the Home Connections website.

A Data Protection Impact Assessment (DPIA) pre-screen is a shortened version of the full DPIA and is used to determine if the full assessment is needed. It should be carried out before any new data processing starts (or if the processing is already happening, before a change that will involve a high risk to individuals starts). In many cases the pre-screen is sufficient to assess and manage any risks and a full assessment is not required. Like full DPIAs, these are published in accordance with the Council's Data Charter and also the GDPR/Data Protection Act 2018.”

This dataset contains road collisions in Camden dating back to 2005. Data is provided by TfL (Transport for London) on an annual basis in three parts – this is the casualties part; some information has been added from the attendants part. Attendants and vehicles are available on the open data platform as separate datasets and they can all be joined together using the Reference column. If joined, where multiple attendants/casualties/vehicles exists for one Accident Reference there will be multiple records for the same accident. To avoid anomalies it is suggested any data analysis undertaken should use three years of data.

Under the Local Government Transparency Code, local authorities must publish details of any contract, commissioned activity, purchase order, framework agreement and any other legally enforceable agreement with a value that exceeds £5,000.

This public health intelligence profile describes the trends and patterns in the prevalence of
diagnosed depression and anxiety in people aged 18 and over in Camden.