These health and wellbeing profiles gives an overview of the burden of ill health by ward, focusing on areas where Councillors can take action to improve outcomes for residents.

Technical Analysis Paper which covers the latest ONS mid-year estimates in detail for Camden

Description and analysis of GLAs latest set of demographic projections for Camden.

A list of the most common words found in FOI responses.

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 contains properties which are paying Non-Domestic Rates (NDR) to Camden Council. Historical data is included to see how rates have changed over time.

This dataset contains conservations areas in the London Borough of Camden in the schema set out by Digital Land (https://www.digital-land.info/)

Enter your building, street name, postcode or estate in the search box to see a list of planned works at your property

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

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.