Research report on using administrative data to count and classify households published

  • May 25th, 2012  

    A research report on how administrative data can be utilised to create more effective household level statistics has been published by Cass Business School, written by Gill Harper of geocreate and Les Mayhew of Cass Business School. Funding was provided by Cass Business School, and the research extends previous work on using administrative data to count populations and other local policy and planning applications.
    Household statistics are important because household characteristics such as occupancy, average resident age, tenure status and gender composition are often good predictors of social outcomes, such as the take up of health, social care and education services.They are also significant determinants of life expectancy, and the household unit is also used to benchmark the poverty line.
    The paper identifies a significant gap in the availability and quality of household statistics at local level which adversely impacts upen the quality of local decision making and investment decisions.

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