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Do changes in an areas SIMD ranking demonstrate successful regeneration?

Do changes in an areas SIMD ranking demonstrate successful regeneration?. Sarah McIntosh. Research purpose. Preliminary research investigating how the changes in SIMD rankings reflect regeneration activities and policies that address multiple deprivation.

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Do changes in an areas SIMD ranking demonstrate successful regeneration?

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  1. Do changes in an areas SIMD ranking demonstrate successful regeneration? Sarah McIntosh

  2. Research purpose • Preliminary research investigating how the changes in SIMD rankings reflect regeneration activities and policies that address multiple deprivation. • Provide a framework for more detailed analysis of the 2009 SIMD update due later this year. • Research centres on the areas that have moved out from the 15% most deprived data zones between 2004 and 2006 to get a greater understanding of the components of improvement that have positively influenced their ranking and to relate this to wider data on area regeneration. • Where possible the relative data will be compared with the absolute scale of deprivation to determine if the study areas have actually improved or if other areas have deteriorated.

  3. Resource allocation • The SIMD data is used by a range of public agencies and partnerships to target area based expenditure and can therefore influence the geographical distribution of regeneration policies and programmes. • SIMD is used in the allocation of the Fairer Scotland Fund to Community Planning Partnerships (CPPs) for financial years 2008/09 to 2010/11 (£145 million per year).

  4. Areas that have improved

  5. Limitations of SIMD to measure impact of regeneration • Relative change • Timescales • Size of data zones • Review of domains • Data availability • Population estimates • Mapping of regeneration projects and policies

  6. Influence of regeneration policy • CtOG targets linked to SIMD indicators • Importance of area based projects • Evidence based policy • Can you only measure successful regeneration if you understand the link between policy and SIMD change?

  7. Employment • Comparison possible • Substantial improvement against a background of improvement Factors that could have affected change: • Employment deprived got jobs • Population increased with more employed • Employment deprived have moved or been displaced • Employment deprived have reached retirement age

  8. Change in rankings for the 120 data zones

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