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.

This dataset contains food hygiene ratings or inspection results given to businesses located in the London Borough of Camden, and reflect the standards of food hygiene found on the date of inspection or visit by Camden Borough Council. Businesses include restaurants, pubs, cafes, takeaways, hotels and other places consumers eat, as well as supermarkets and other food shops. Attribution includes the business name, address, rating value (0-5), rating date, ward name and spatial location. Please note, not every business has the correct spatial location - these are included in the data but omitted from the map.

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

This dataset contains the Camden, Barnet, Brent, City of London, City of Westminster, Haringey and Islington extract of the OS Open Names dataset.

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 the register of cooling towers or evaporative condensers held by the London Borough of Camden; which is required under The Notification of Cooling Towers and Evaporative Condensers Regulations 1992.

The prime purpose of this is to identify potential areas that could give rise to spread of infectious disease such as legionella and to ensure preventative measures are taken to eliminate the risk of such infection arising to employees and the public.

Attribution includes the premises name, address and location.

This dataset contains data captured by sensors operated by London Air. This is downloaded via their API (Application Programming Interface) and filtered to only include sensors within the London Borough of Camden.

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

This dataset contains the location of businesses and organisations that have signed up to the Breastfeeding Welcome scheme.

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.