Unequal impact of COVID-19: BAME disproportionality
The shielded population are those that have been defined by Government on medical grounds as medically vulnerable due to a clinical condition that puts them at High risk of developing complications from COVID-19 infection.

Those recommended to shield include:
• Organ transplant recipients
• Pregnant women with congenital heart conditions
• Those with rare diseases such as homozygous sickle cell, SCID and others
• Those on immunosuppression therapies
• People with specific cancers or those with cancer undergoing chemo/radiotherapy.

Camden has so far received the contact details of almost 8,000 residents identified by central Government, with more records likely in future.

The details received do not contain the personal characteristics of those on the list, although we have received an overview from North Central London NHS.
(note: above is broken down into shielder’s location and BAME ward profile, shielding population by ethnicity, shielded food need and dietary requirements).

Installed and proposed/planned cycle hangars in Camden

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 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

The Council's annual pay policy statement, meeting requirements for pay accountability for local authorities arising from the Localism Act 2011

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.

Our shared evidence-base data snapshot of the borough for year 2024, to help identify data gaps, support decision-making, and understand the impact of programs, policies, and other external influencing factors on people and communities in the borough.

This databook contains a copy of all data downloaded and curated to compile the State of the Borough report 2024, alongside the relevant metadata.

For any information regarding the dataset presented in this databook, please contact the dataset owner.

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.

What the census is all about, why it matters and how we can help spread the word in our council and communities.

New analysis on cancer screening inequality (January 2022) - Appendix
The Camden and Islington Public Health Intelligence team has recently completed an equity analysis to explore existing disparities in cancer screenings looking at the North Central London population groups before the COVID-19 pandemic.
This analysis highlights the differences in both bowel screening coverage and cervical screening coverage between certain groups (for example, by gender, age, race/ethnicity and disability status) and GP practice level. There is also an association with deprivation, and lower bower screening coverage is seen in those who smoke, those who are obese, and those with a mental health condition (both depression or severe mental health).
This analysis will help identify opportunities for local strategies and prevention to help improve overall cancer screening, and reduce inequity gaps.