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.

New analysis on cancer screening inequality (January 2022)
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.

This public health factsheet describes facts, assets, and strategies related to working age adults’ health in Camden.

This public health intelligence profile describes trends and patterns in smoking prevalence and smoking cessation efforts in Camden.

This document provides details of the Winter Wellbeing Project,delivered by North London Cares. The project aims to support residents in Camden and Islington aged 65 and over to stay warm, active, healthy and connected.

Unequal impact of COVID-19: BAME disproportionality
With the whole country and world waking up to the deeply entrenched structural equalities that have impacted the lives of our Black, Asian and other ethnic Minority communities, there is a collective appreciation that we need to go further to dismantle a system, and create new ones.
Local and national evidence shows that people from a Black, Asian or minority ethnic background are disproportionately impacted by Covid-19.
In response to this, the council implemented this working group to carry out a rapid 6-week programme to gather evidence of the impacts of Covid-19 and develop actions for supporting our residents during this time and beyond.
Intensive work has been underway to understand and take action to address the direct and indirect health impacts of Covid-19 on our Black, Asian and other Ethnic Minority communities in Camden, and to ensure that individuals and communities are protected both now and through the next phase of the pandemic, but also to bring about wider systemic change.
This document is us working in the open with you and shows the information that was provided by different service areas to the member-led working group for comment and to develop actions going forward.
The Black, Asian and other Ethnic Minority Inequalities and Covid-19 Working Group has benefitted from evidence and the lived experience of our residents, VCS partners, professionals and Members in guiding and shaping the Council’s response from bureaucratic to relational.
In this document you will find summaries of the data included in these presentation slides and the relevant links to documents.

2021 Census profile for London Borough of Camden area based on Topic Summary outputs

This Health Equity Audit aims to establish the current prevalence of musculoskeletal (MSK) disorders within Camden's adult population and assess how current MSK services and resources are distributed in relation to the population's needs.

Databook (Excel) to accompany the Camden Profile (https://opendata.camden.gov.uk/w/9m7e-5qyt/jubw-4nes).

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