Field Value Title Barnsley In Depth Children & Young People's ...

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Barnsley in Depth Children’s and Young People’s Report – 2008/09 InformationAPPENDIX A: Contributors to the ReportIf you would like to contact any of the people below, please contact the Central ResearchTeam in the first instance on either: 01226 773189 or 773440 or by email atcentralresearchteam@barnsley.gov.ukCentral Research TeamElizabeth Pitt, James LeachAsylum SeekersJulie WingfieldHealthRebecca Sherry, Louise Wake, Helen HicksonMental HealthCharlotte Schofield, Janet FosterThe BARNAngela Van Den BergRoad AccidentsPete ClaytonYouth ServiceAndrea KaySocial Care ServicesDominic Ambler, Peter RobertsEducationSimon Snowden, Peter AthertonLSC DataIan SwainConnexionsTracey HerbertChildcareLinda CrummackCrime & Racial HarassmentMax SeniorYoung CarersTracy NewmanYouth Offending Team (YOT)Colin Barnes, Tina LangleyLNETHelen Shaw- 135 -
Barnsley in Depth Children’s and Young People’s Report – 2008/09 InformationAPPENDIX BMethod for Developing Ward Quintile GroupsThe wards were grouped into the quintiles based on their estimated scorefrom the Index of Multiple Deprivation 2004. This involved two stages: 1) toestimate the ward deprivation scores for the new wards (2004 to present) and2) the most appropriate grouping of 21 wards into five categories.1) New ward estimates.The IMD scores were developed based on Lower Layer Super Output Areas –a statistical geography developed by the Office for National Statistics toenable development of statistics in areas of equal population. The superoutput areas were constrained to the pre-2004 electoral ward boundarieswhich allowed the development of unofficial IMD scores for pre-2004 wardsbased on an 2001 census population-weighted average of the SOA IMDscores within the ward.In 2004, the ward boundaries changed and no longer were co-terminus withthe SOA boundaries. In order to create IMD score estimates for the newwards the population weightings had to account for SOAs straddlingboundaries of wards. Those entirely within a ward were treated before i.e.their whole population was used for the weighting. Those SOAs with less thana 3% / 97% split across wards were treated as 100% within the ward it wasmostly in.For the other SOAs (i.e. those crossing ward boundaries) a GIS was used toshow a map of non-commercial addresses from the Royal Mail PostalAddress File – as this is the most accurate locator of addresses available.From this it was possible to calculate the number of non-commercialproperties within a particular SOA and ward (i.e. where they overlap). Thiswas then shown as a percentage of all non-commercial properties within thewhole SOA. This gave an approximate percentage of the SOA populationwithin the ward. It is this population within SOA and ward that is used toweight the IMD scores for SOAs to the new wards.2) Five ward quintileWith 21 wards, one quintile would have to have five wards (the rest fourwards). The remaining ward should go into the quintile (to make a group offive) where it has least effect on the average IMD score for that quintile. Aseries of calculations were made showing the impact on the average IMDscore of the next ward in the ranking being included to make a group of five.The one where this had least impact on the average was the middle quintile.- 136 -
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