Ward Profiles and Atlas
The ward profiles and ward atlas provide a range of demographic and related data for each ward in Greater London. They are designed to provide an overview of the population in these small areas by presenting a range of data on the population, diversity, households, life expectancy, housing, crime, benefits, land use, deprivation, and employment.
Indicators included here are population by age and sex, land area, projections, population density, household composition, religion, ethnicity, birth rates (general fertility rate), death rates (standardised mortality ratio), life expectancy, average house prices, properties sold, housing by council tax band, tenure, property size (bedrooms), dwelling build period and type, mortgage and landlord home repossession, employment and economic activity, Incapacity Benefit, Housing Benefit, Household income, Income Support and JobSeekers Allowance claimant rates, dependent children receiving child-tax credits by lone parents and out-of-work families, child poverty, National Insurance Number registration rates for overseas nationals (NINo), GCSE results, A-level / Level 3 results (average point scores), pupil absence, child obesity, crime rates (by type of crime), fires, ambulance call outs, road casualties, happiness and well-being, land use, public transport accessibility (PTALs), access to public greenspace, access to nature, air emissions / quality, car use, bicycle travel, Indices of Deprivation, and election turnout.
The Ward Profiles present key summary measures for the most recent year, using both Excel and InstantAtlas mapping software. This is a useful tool for displaying a large amount of data for numerous geographies, in one place.
The Ward Atlas presents a more detailed version of the data including trend data and generally includes the raw numbers as opposed to percentages or rates.
The Instant Atlas reports use HTML5 technology, which can be used in modern browsers, including on Apple machines, but will not function on older browsers.
Compare the ward measure against the Borough, London and National average.
Access the raw data for all London wards.
WARD ATLAS FOR 2014 BOUNDARIES
In May 2014, ward boundaries changed in Hackney, Kensington and Chelsea, and Tower Hamlets. This version of the ward atlas gives data for these new wards, as well as retaining data on the unchanged wards in the rest of London for comparison purposes. Data for boroughs has also been included.
Very few datasets have been published for the new ward boundaries, so the majority of data contained in this atlas have been modelled using a method of proportion of households from the old boundaries that are located in the new boundaries. Therefore, the data contained in this atlas are indicative only.
- Select a new indicator from the Data box on the left. Select the theme, then indicator and then year to show the data.
- To view data just for one borough*, use the filter tool.
- Some legend settings can be altered by clicking on the cog icon next to the Wards tick box within the map legend.
- The wards can be ranked in order by clicking at the top of the indicator column of the data table.
Note: Additional indicator information and sources are included within the spreadsheet and Instant Atlas report.
OTHER SMALL AREA PROFILES
Data from these profiles were used to create the Well-being scores tool.
- *The London boroughs are: City of London, Barking and Dagenham, Barnet, Bexley, Brent, Bromley, Camden, Croydon, Ealing, Enfield, Greenwich, Hackney, Hammersmith and Fulham, Haringey, Harrow, Havering, Hillingdon, Hounslow, Islington, Kensington and Chelsea, Kingston upon Thames, Lambeth, Lewisham, Merton, Newham, Redbridge, Richmond upon Thames, Southwark, Sutton, Tower Hamlets, Waltham Forest, Wandsworth, Westminster.
These profiles were created using the most up to date information available at the time of collection (September 2015).
Data & Resources
|Author||Greater London Authority|
|Maintainer||Opinion Research and General Statistics (GLA) (email@example.com)|
|Licence||Open UK Open Government Licence (OGL v2)|