Installed and proposed/planned cycle hangars in Camden

Installed and proposed/planned cycle hangars in Camden

Camden's designated industry growth sectors mapped. Latest data from the Business Register and Employment Survey (BRES), mapped by Lower-layer Super Output Area (LSOA).
See accompanying file containing analysis and time series of the growth sector data.

Cycling in Camden is becoming ever more popular with the introduction of safe, convenient and protected routes. There are several cycle counters in Camden which provide counts of cyclists along these routes.

Camden's designated industrial growth sectors: analysis of Business Register and Employment Survey (BRES) estimates of employment by industrial sector. Time series and latest estimates.
An accompanying file maps the growth sectors by Lower-layer Super Output Area (LSOA).

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 is an aggregated dataset of data related complaints and their status in the complaints process. This is a rolling dataset that shows the number of complaints over time at Camden.

The Camden and Islington Public Health Intelligence team has recently completed a needs assessment of Long Covid in North Central London, to explore the burden of Long Covid locally, its impact on residents, and analysis of the system response. The analysis highlights that expected prevalence of Long Covid is much higher than recorded diagnoses in primary care, suggesting that many people with Long Covid may not be receiving a formal diagnosis. The analysis also explores patterns in expected prevalence, diagnosis and referral rates by age, gender, deprivation and ethnicity, variation between primary care networks, and analysis of data from NCL’s Post-Covid specialist clinic. This analysis will help to identify opportunities to improve Long Covid awareness, pathways and care.