Containing all planning applications received since 01/01/2002.

This dataset contains food hygiene ratings or inspection results given to businesses located in the London Borough of Camden, and reflect the standards of food hygiene found on the date of inspection or visit by Camden Borough Council. Businesses include restaurants, pubs, cafes, takeaways, hotels and other places consumers eat, as well as supermarkets and other food shops. Attribution includes the business name, address, rating value (0-5), rating date, ward name and spatial location. Please note, not every business has the correct spatial location - these are included in the data but omitted from the map.

Excel workbook (after unzipping) showing:
- the Summary district-level averages
- the full listing of Camden LSOAs (ward order) with all domains
- Comparative maps of Index of Multiple Deprivation (IMD) 2007, 2010, 2015 & 2019
- Ward summary

Companion databook, providing supporting evidence and data to the Camden Business And Employment Bulletin (https://opendata.camden.gov.uk/w/5czu-s2qc/7xcc-ae6v)

This set of updated profiles 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.

This dataset contains a register of brownfield sites in the London Borough of Camden.

This dataset contains planning applications in the London Borough of Camden dating back to 01/01/2010. Planning application extents are captured against the OS MasterMap product, due to licensing restrictions with this product, this dataset is represented as point geometry, located to the nearest postcode (derived from the OS Code-Point Open product). Attribution includes application number, development address, development description, registered date, decision date and case officer.

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 database includes total energy consumption (i.e. gas, electricity, heat) in kWh and total carbon footprint in kgCO2e (calculated using DEFRA’s 2014 carbon emission factors) for each site that is in the scope of the Council’s annual Greenhouse Gas report. Display Energy Certificate (DEC) score and rating, and total useful floor area has been included where the data is available (this will be updated). Most of the data is actual, however, some is based on estimated billing. Please note that the amount of energy consumed per site depends on various factors, e.g. size of the building, type and age of the building, use/services based in the building, occupancy patterns/changes, occupants behaviour, weather conditions, etc.

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.