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This tool provides a simple way to analyse data on housing and energy. For any questions please contact datatool@bre.co.uk.

The tool can currently be used to analyse data from the following datasets:

  1. The English Housing Survey 2007-08
  2. The English Housing Survey 2008-09
  3. The English Housing Survey 2009-10
  4. The English Housing Survey 2010-11
  5. The English Housing Survey 2011-12

The English Housing Survey (EHS) is a continuous annual survey commissioned by the Department of Communities and Local Government (DCLG). It was created in 2008 through the merger of the Survey of English Housing (SEH) and the English House Condition Survey (EHCS).

The EHS has two primary components:

  • A household interview survey covering topics such as demography, employment, incomes and housing tenure.
  • A physical survey of a subsample of occupied and vacant dwellings. It collects information on dwelling conditions, energy efficiency, disrepair & other physical metrics.

For more information regarding the EHS please see: https://www.gov.uk/government/organisations/department-for-communities-and-local-government/series/english-housing-survey

Weights should be applied to the EHS data when analysis is being undertaken. These correct for bias in the sample and gross the results up to national totals. Three options are available in the tool for weighting:

  • Household - This presents results weighted to the national total of occupied homes. Vacant properties are excluded from the total figures.
  • Dwelling – This presents results weighted to the national total of the dwelling stock. Vacant properties are included in the total figures.
  • Count – This presents the number of records underlying the weighted results. This feature should be used to check that results are not based on too few cases to be considered reliable.

Please note that some weighted figures are based on a very small sample size and should be treated as indicative only.

For more information about sampling please see: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/211306/Sampling_and_Weighting.pdf