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Using household income data at micro-level to aid social housing providers’ decisions on affordable rents levels, ‘pay-to-stay’ and other market-based policies

This project aimed to increase the usage of our recent research to develop an optimal method to estimate household income distributions at the very local level.

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This project aimed to increase the usage of our recent research to develop an optimal method to estimate household income distributions at the very local level, drawing on data from (amongst other sources) the Family Resources Survey, Labour Force Survey, Census, English Household Survey, and Household Projections by the Office for National Statistics. Estimates of income with and without housing benefit are critical if a social housing provider is to optimise (i) rental income from new and existing developments while taking into account the proposed income thresholds for social housing tenants (‘Pay to Stay’), and (ii) shared ownership development opportunities. Some of the largest housing associations have already commissioned our research to obtain data for the geographical areas in which they operate. This project sought to explore the potential to reach smaller associations who may not have the research and technical staff seeking out such knowledge, and may lack resources for research.

Household income distribution estimates: The example of Pay to Stay impacts in Local Authority areas in two English regions

Drawing on household income distributions, this pilot study estimates the localised impact and scale of Pay to Stay (PTS) for London and the West Midlands. The test results show that the new social rent regime will affect local authority (LA) areas unevenly – Pay to Stay affected household (PTS HH) proportions were estimated to range from around 6 to 16% while the counts ranged from around 300 to 6,500 households. PTS requires English local authority landlords to charge market (or quasi-market) rents to tenants on higher incomes.

Household income distribution estimates: The example of Pay to Stay impacts in Local Authority areas in two English regions - Read More…

CCHPR Contact

Funder

ESRC IAA

Project Start Date

January 2016