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 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.

Excel workbook (after unzipping) showing:
- the Summary district-level averages
- the full listing of Camden LSOAs (ward order) with all domains
- Comparative maps of Index of Multiple Deprivation (IMD) 2007, 2010, 2015 & 2019
- Ward summary

This dataset contains public conveniences in the London Borough of Camden. Attributes include the address and geographic coordinates of each facility; these are largely taken from Camden’s Local Land and Property Gazetteer and published under the OS Presumption To Publish process.

This dataset contains a register of brownfield sites in the London Borough of Camden.

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 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 parking bays location in the London Borough of Camden. A parking bay consists of a number of parking spaces, therefore individual parking spaces cannot be identified in this dataset, however the attribution includes the approximate length of the parking bay in metres, and the approximate number of spaces in the parking bay. Other attribution includes restriction type, times of operation, maximum stay, tariff, road name and CPZ (Controlled Parking Zone). The Easting and Northing (and Longitude and Latitude) attributes are automatically calculated based on an arbitrary node along the polyline geometry of the parking bay; the WKT (Well Known Text) attributes can be used to redraw the full extent of each parking bay using a GIS (Geographic Information System).

This factsheet focuses on future population growth and changes in demographics, with data from the 2014 GLA population projections ‘Camden Development (capped average household size)’.
Understanding the changes in size and characteristics of Camden’s population, as well as broken down by segment helps us plan healthcare resources and service delivery effectively for each group, as well as the population in general.

This database includes total energy consumption (i.e. gas, electricity, heat) in kWh and total carbon footprint in kgCO2e (calculated using DEFRA’s 2014 carbon emission factors) for each site that is in the scope of the Council’s annual Greenhouse Gas report. Display Energy Certificate (DEC) score and rating, and total useful floor area has been included where the data is available (this will be updated). Most of the data is actual, however, some is based on estimated billing. Please note that the amount of energy consumed per site depends on various factors, e.g. size of the building, type and age of the building, use/services based in the building, occupancy patterns/changes, occupants behaviour, weather conditions, etc.