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

On 3 July 2017, the Leader of the Council, Georgia Gould made a public commitment to publish Fire Risk Assessments for all blocks above 10 storeys in the interests of resident safety and transparency.

FRAs are inevitably technical documents so we have produced a set of Frequently Asked Questions to help the reader to interpret them. Each individual FRA is prefaced with a summary and any subsequent actions the Council has taken in response.

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 profile further explores health inequalities between men and women in Camden looking at the differences in demographics, life style risk factors and burden of ill health due to long term conditions (LTCs). The aim of this analysis is to provide a better understanding of the health needs of men and women, gaps in their care management, preventative interventions around key modifiable life risk factors, and LTCs.

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.

Alex Singleton, Lecturer in GIS at Liverpool University has created a set of maps of the 2011 Census Key and Quick Statistics ​released in January 2013 for output areas (small areas) in Camden and for other local authorities. This PSF has the maps for Camden only.

Containing all registered planning applications where a decision has not been made. 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 is a complete set of 2011 Census Key Statistics (KS) and Quick Statistics (QS) tables for Camden and local authorities and higher geographies. THIS IS A ZIP file that needs to be downloaded and Excel files extracted. Once extracted open the index file.

Cycling in Camden is becoming ever more popular with the introduction of safe, convenient and protected routes. There are several cycle counters in Camden which provide counts of cyclists a long these routes.

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.