This health and wellbeing profile gives an overview of the burden of ill health in Belsize, one of Camden's 18 electoral wards, focusing on areas where Councillors can take action to improve outcomes for residents.

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.

2021 Census Frequently Asked Questions

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 public health intelligence profile describes the patterns in demographics, risk factors and burden of ill health due to long term conditions for people registered with a GP in the North locality. GP localities are clusters of practices working together to share experiences and knowledge, as well as local monitoring of service provision. This profile, and the profile for the South and West localities, have been produced to support this work by identifying needs, patterns, and inequalities at a more local level.

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

Recorded and expected prevalence of coronary heart disease (CHD) in Camden, by GP practice, 2014/15
Note: To view the charts with the correct formatting, please click the Enable editing button when Excel opens.

The Council's annual report on the composition of its workforce.

This health and wellbeing profile gives an overview of the burden of ill health in Kentish Town, one of Camden's 18 electoral wards, focusing on areas where Councillors can take action to improve outcomes for residents.