This dataset contain Article 4 Directions in place for the London Borough of Camden. Geometry can be downloaded by searching for Camden Article 4 Direction Area

This dataset contains the location of air quality diffusion tubes and annual NO2 measurements across the borough of Camden.

This dataset contains the location of air quality diffusion tubes and annual NO2 measurements across the 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 traffic count surveys stored in 47 Microsoft Excel files.

Equality Impact Assessment profiles for Camden wards (2022) using the latest data from the 2021 Census
Note. amended 18 Apr-23 disability/long-term illness proportions updated with correct % for each ward.

The Parking Bay dataset was created in the open data portal several years ago and only exports the data as point GeoJSON.

This Python3 Script downloads Camden Council parking bay data as CSV and converts it into line/polygon GeoJSON using either the EPSG:27700 or EPSG:4326 projection (see line #25); the projection clause is not included in the file so may need to be specified when importing the file into a GIS.

The script file will need renaming from .txt to .py.

This dataset contains the location and description of grit bins located across Camden borough.

This dataset contains the location and description of grit bins located across Camden borough.

This is our first analysis of the gender pension gap and looks at gender gaps for both current pensioners and current staff that are active (contributing) members of the Local Government Pension Scheme.