Final report on the use of novel psychoactive substances among children and young people in Camden and Islington, describing the local prevalence of the use of these substances, and identifying some key recommendations for local action.

This health and wellbeing profile gives an overview of the burden of ill health in Camden Town with Primrose Hill, one of Camden's 18 electoral wards, focusing on areas where Councillors can take action to improve outcomes for residents.

This dataset contains licensing applications; this can be joined to the other licensing datasets using the licence reference value.

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.

A newly published analysis using the Electronic Frailty index (eFI) identifies the number of older people with severe, moderate and mild frailty in Camden.

The analysis shows that about a third of the older people (65+), registered in the Camden’s GP practices, have a mild frailty and at high risk of fall-related admissions, enabling preventative measures to be put in place.

This work will inform the Clinical Commissioning Group to develop an integrated care pathway for older people with frailty by considering individual vulnerability rather than by age alone.

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.

The neighbourhood profiles are 22 data profiles that, collectively, cover the whole borough of Camden. The profiles contain comprehensive, verifiable and up-to-date statistics from a variety of sources about the community characteristics, assets and strengths, challenges and needs in each neighbourhood. They are designed to help the Council, other statutory partners and the VCS understand what is being delivered in small areas and the resources that already exist in each area, and identify any gaps.

The neighbourhoods are composites of lower super output areas (LSOAs), which are smaller than wards. The neighbourhoods do not conform to administrative boundaries or electoral wards. Their borders are instead based on the actual way that residents identify with particular areas and how they really move about within certain localities.

The Camden Business Survey 2017 gathered key business intelligence around business confidence, activity and employment, and issues of importance. Previous surveys were conducted in 2014 and 2012. The analysis is based on a sample of 400 responses from businesses, stratified by size and sector. Where significant, findings are reported by size, sector, business age and business type. Camden’s growth sectors are considered throughout: Science and Tech, Technical, Professional and Business Support Services, and Creative and Cultural Industries.

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.

The data shows property and bid information for homes advertised by the London Borough of Camden on the Home Connections website.