Excess weight in Reception children, England (three year average: academic years 2016-19)

SUMMARY Identifies Middle Layer Super Output Areas (MSOAs) with the greatest levels of excess weight in Reception age children (three year average between academic years 2016/17, 2017/18, 2018/19). Although this layer is symbolised based on an overall score for excess weight, the underlying data, including the raw data for Reception children, is included in the dataset. ANALYSIS METHODOLOGY Each MSOA was given a relative score between 1 and 0 (1 = worst, 0 = best) based on: A) the NUMBER of Reception children with excess weight and; B) the PERCENTAGE of Reception children with excess weight. An average of scores A & B was taken, and converted to a relative score between 1 and 0 (1= worst, 0 = best). The closer to 1 the score, the greater both the number and percentage of Reception children with excess weight, compared to other MSOAs. In other words, those are areas where a large number of children have excess weight, and where those children make up a large percentage of the population of that age group, suggesting there is a real issue with childhood obesity in that area that needs addressing. DATA SOURCES National Child Measurement Programme: Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital. MSOA boundaries: © Office for National Statistics licensed under the Open Government Licence v3.0. Contains OS data © Crown copyright and database right 2021. COPYRIGHT NOTICE Based on data: Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital.; © Office for National Statistics licensed under the Open Government Licence v3.0. Contains OS data © Crown copyright and database right 2021. Data analysed and published by Ribble Rivers Trust © 2021. CaBA HEALTH & WELLBEING EVIDENCE BASE This dataset forms part of the wider CaBA Health and Wellbeing Evidence Base.