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 updated profile incorporate the most recent ward data available from population forecasts, from surveys and from administrative data to give the best current view of the local population. They include current population and forecast changes; household income levels and deprivation; local workplace employment levels; levels of welfare claimants and unemployment benefit recipients; life expectancy and crime.

Unequal impact of COVID-19: BAME disproportionality
This slide pack covers lived experience of Black, Asian and other or mixed ethnic (BAME) communities regarding the issues they have been facing around overcrowding as a result of covid-19 from Early Help services and VCS.

2011 Census cross-tabulations from within the WORKPLACE topic, i.e. people working in an area. Tables provided for Camden, Greater London and England & Wales. Includes Method of Travel to Work and Distance Travelled to Work. THIS IS A ZIP file. Download to your computer, unzip (extract) the Excel files contained in order to access the Index file.

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.

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

This presentation is part of an on-going series of anlyses of the impact of housing benefit and other welfare changes.

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.

Recorded and expected prevalence of chronic kidney disease (CKD) in Camden, by GP practice, 2014/15
Note: To view the charts with the correct formatting, please click the Enable editing button when Excel opens.

This updated profile incorporate the most recent ward data available from population forecasts, from surveys and from administrative data to give the best current view of the local population. They include current population and forecast changes; household income levels and deprivation; local workplace employment levels; levels of welfare claimants and unemployment benefit recipients; life expectancy and crime.