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 vehicles part; some information has been added from the attendants part. Attendants and casualties 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 on street crimes provided by the Police via their API (https://data.police.uk/docs/). The data is clipped to the London Borough of Camden boundary, and can contain up to fifteen types of street crime including bicycle theft, shoplifting and criminal damage. The London Borough of Camden does not maintain the content of this dataset.

This dataset contains locations of Council owned trees on highways and in parks and open spaces in the borough. The data is collected during cyclical tree inspections by Camden tree officers. Each point contains tree species, height, spread, diameter at breast height (DBH), and maturity. Tree sequence number attached to each tree is site specific.

This dataset contains the National Statistics Postcode Lookup (NSPL) for the London Borough of Camden. 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.

This dataset contains locations of Council owned trees on highways and in parks and open spaces in the borough. The data is collected during cyclical tree inspections by Camden tree officers. Each point contains tree species, height, spread, diameter at breast height (DBH), and maturity. Tree sequence number attached to each tree is site specific.

Companion databook, providing supporting evidence and data to the Camden Business And Employment Bulletin (https://opendata.camden.gov.uk/w/5czu-s2qc/7xcc-ae6v)
Quarterly updates usually published in mid-:
June / September / December / March

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

Set of 2011 Census Key Statistics profile tables for London borough of Camden and Camden's 18 electoral wards

This view shows planning applications received in the last seven days by the London Borough of Camden. It updates daily.

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 building in the OS Open Map-Local product. Attribution includes application number, development address, development description, registered date, decision date and case officer.

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.