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, 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.

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

DWP Claimant Count unemployment measure, combining Jobseekers Allowance (JSA) claimants and Universal Credit claimants who are actively seeking work. Latest month (provisional) and revised previous month (final) data.

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

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.

Set of 2001 Census Key Statistics tables for LB Camden. Some, but not all table are comparable with 2011 Census Key Statistics tables.

This data contains the centroid (central point) of each Camden Neighbourhood profile. When displayed on a map, the centroid can be clicked to reveal the URL to the corresponding neighbourhood profile document.

This dataset shows where you can buy a reusable cup, get a discount for using it and other nearby places to recycle single-use cups. This is a community-powered map, hoping to grow the ‘West Hampstead Coffee Cup Challenge’ into Camden's Coffee Cup challenge. Please visit www.whatnw6.com for more information on the challenge, and email street.environment@camden.gov.uk for support in getting your area involved and added to the map.

The briefing provides an equality profile of Camden’s population according to the nine protected characteristics named in the Equality Act 2010. The Act makes it unlawful to discriminate against someone because of any of these characteristics. Headline summary followed up with some more detail where possible. Local data is not available for all protected groups.

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.