This dataset contains Article 4 Direction Areas (geometry) across the London Borough of Camden. Additional attributes can be found by searching for 'Camden Article 4 Direction'.

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

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

Presentation of analysis with some commentary of the full Residents' Survey 2012.

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 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 public health factsheet describes facts, assets, and strategies related to older people’s health in Camden.