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Estimated net income distribution of working households by household type and locality: Bromley 2014

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posted on 2023-07-26, 16:52 authored by Chihiro Udagawa, Paul Sanderson
Landlords in the social rented sector are currently in need of delivering more hybrid housing options – most notably the Affordable Rent (AR) Programme. The target of 80% of market rents implies prospective tenants will be on moderate, but not the lowest, incomes, and are thus less likely to be on Housing Benefit; an appropriate or optimal level of AR in each local market is still not settled, and is the subject of debate amongst housing providers. One of the bases for setting an AR is household income net of income-related benefits, such as Housing Benefit. Calculating this is not easy because lack of detailed information on household income components in local areas. For instance, the Family Resource Survey (FRS), commissioned by DWP, has critical data on household incomes but only at very limited geographical levels. 1 There is also a considerable time lag between data collection, publication and use in the planning context for housing provision. Cambridge Centre for Housing & Planning Research (CCHPR) has been approached by several housing associations and local authorities to provide estimates of the latest net income distribution of working households by type at or lower than local authority area level. Net income means income net of housing and other income-related benefits but includes non-income related benefits. As an example, CCHPR has estimated net income distribution for eight household types in the London Borough of Bromley at Mid-Super Output Area (MSOA) level, for July 2014, using micro-simulation models developed from our own experience and studies.

History

Refereed

  • No

Publisher

University of Cambridge

Place of publication

Cambridge, UK

Language

  • other

Report type

  • Technical Report

Legacy posted date

2015-11-05

Legacy Faculty/School/Department

ARCHIVED Faculty of Health, Social Care & Education (until September 2018)/Cambridge Centre for Housing and Planning Research

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