Public Health England - Public Health Outcomes Framework Indicators
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This data originates from the Public Health Outcomes tool currently presents data for available indicators for upper tier local authority levels, collated by Public Health England (PHE). The data currently published here are the baselines for the Public Health Outcomes Framework, together with more recent data where these are available. The baseline period is 2010 or equivalent, unless these data are unavailable or not deemed to be of sufficient quality. The first data were published in this tool as an official statistics release in November 2012. Future official statistics updates will be published as part of a quarterly update cycle in August, November, February and May. The definition, rationale, source information, and methodology for each indicator can be found within the spreadsheet. Data included in the spreadsheet: 0.1i - Healthy life expectancy at birth0.1ii - Life Expectancy at 650.1ii - Life Expectancy at birth0.2i - Slope index of inequality in life expectancy at birth based on national deprivation deciles within England0.2ii - Number of upper tier local authorities for which the local slope index of inequality in life expectancy (as defined in 0.2iii) has decreased0.2iii - Slope index of inequality in life expectancy at birth within English local authorities, based on local deprivation deciles within each area0.2iv - Gap in life expectancy at birth between each local authority and England as a whole0.2v - Slope index of inequality in healthy life expectancy at birth based on national deprivation deciles within England0.2vii - Slope index of inequality in life expectancy at birth within English regions, based on regional deprivation deciles within each area1.01i - Children in poverty (all dependent children under 20)1.01ii - Children in poverty (under 16s)1.02i - School Readiness: The percentage of children achieving a good level of development at the end of reception1.02i - School Readiness: The percentage of children with free school meal status achieving a good level of development at the end of reception1.02ii - School Readiness: The percentage of Year 1 pupils achieving the expected level in the phonics screening check1.02ii - School Readiness: The percentage of Year 1 pupils with free school meal status achieving the expected level in the phonics screening check1.03 - Pupil absence1.04 - First time entrants to the youth justice system1.05 - 16-18 year olds not in education employment or training1.06i - Adults with a learning disability who live in stable and appropriate accommodation1.06ii - % of adults in contact with secondary mental health services who live in stable and appropriate accommodation1.07 - People in prison who have a mental illness or a significant mental illness1.08i - Gap in the employment rate between those with a long-term health condition and the overall employment rate1.08ii - Gap in the employment rate between those with a learning disability and the overall employment rate1.08iii - Gap in the employment rate for those in contact with secondary mental health services and the overall employment rate1.09i - Sickness absence - The percentage of employees who had at least one day off in the previous week1.09ii - Sickness absence - The percent of working days lost due to sickness absence1.10 - Killed and seriously injured (KSI) casualties on England's roads1.11 - Domestic Abuse1.12i - Violent crime (including sexual violence) - hospital admissions for violence1.12ii - Violent crime (including sexual violence) - violence offences per 1,000 population1.12iii- Violent crime (including sexual violence) - Rate of sexual offences per 1,000 population1.13i - Re-offending levels - percentage of offenders who re-offend1.13ii - Re-offending levels - average number of re-offences per offender1.14i - The rate of complaints about noise1.14ii - The percentage of the population exposed to road, rail and air transport noise of 65dB(A) or more, during the daytime1.14iii - The percentage of the population
Greater London Authority - London Ward Well-Being Scores
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These ward level well being scores present a combined measure of well-being indicators of the resident population based on 12 different indicators. Where possible each indicator score is compared with the England and Wales average, which is zero. Scores over 0 indicate a higher probability that the population on average will experience better well-being according to these measures. Users can adjust the weight of each indicator depending on what they consider to be the more or less important, thus generating bespoke scores. This is done either by entering a number between 0 and 10. The scores throughout the spreadsheet will update automatically. The tool combines data across a range of themes for the last five years of available data (2009-2013). Either view the results in the online interactive tool here, Or download the interactive spreadsheet here The well-being scores are then presented in a ranked bar chart for each borough, and a ward map of London. The spreadsheet also highlights wards in the top and bottom 25 per cent in London. Wards that have shown significant improvement or reduction in their scores relative to the average over the five year period are also highlighted. Borough figures are provided to assist with comparisons. Rankings and summary tables are included. The source data that the tool is based on is included in the spreadsheet. The Excel file is 8.1MB. IMPORTANT NOTE, users must enable macros when prompted upon opening the Excel spreadsheet (or reset security to medium/low) for the map to function. The rest of the tool will function without macros. If you cannot download the Excel file directly try this zip file (2.6MB). If you experience any difficulties with downloading this spreadsheet, please contact the London Datastore in the Intelligence Unit. Detailed information about definitions and sources is contained within the spreadsheet. The 12 measures included are: Health - Life Expectancy - Childhood Obesity - Incapacity Benefits claimant rate Economic security - Unemployment rate Safety - Crime rate - Deliberate Fires Education - GCSE point scores Children - Unauthorised Pupil Absence Families - Children in out-of-work households Transport - Public Transport Accessibility Scores (PTALs) Environment - Access to public open space & nature Happiness - Composite Subjective Well-being Score (Life Satisfaction, Worthwhileness, Anxiety, and Happiness) (New data only available since 2011/12) With some measures if the data shows a high figure that indicates better well-being, and with other measures a low figure indicates better well-being. Therefore scores for Life Expectancy, GCSE scores, PTALs, and Access to Public Open Space/Nature have been reversed so that in all measures low scores indicate probable lower well-being. The data has been turned into scores where each indicator in each year has a standard deviation of 10. This means that each indicator will have an equal effect on the final score when the weightings are set to equal. Why should measuring well-being be important to policy makers? Following research by the Cabinet Office and Office for National Statistics, the government is aiming to develop policy that is more focused on ‘all those things that make life worthwhile’ (David Cameron, November 2010). They are interested in developing new and better ways to understand how policy and public services affect well-being. Why measure well-being for local areas? It is important for London policy makers to consider well-being at a local level (smaller than borough level) because of the often huge differences within boroughs. Local authorities rely on small area data in order to target resources, and with local authorities currently gaining more responsibilities from government, this is of increasing importance. But small area data is also of interest to academics, independent analysts and members of the public with an interest in the subject of well-being. How can well-being be measured within small
Greater London Authority - Better Environment, Better Health - Guides for London Boroughs
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Improving the local environment can help improve health and wellbeing. The GLA have produced a bespoke guide for each London borough highlighting how positive changes to the environment help support better health. The Better Environment, Better Health guide offers tailored information on seven important environmental factors that can impact on residents’ health. These factors are green spaces, active travel and transport, surface water flood risk, air quality, healthy food, fuel poverty and overheating. These guides are written for borough Health and Wellbeing Boards, Directors of Public Health, elected members, Regeneration and Planning Officers, Environmental Officers, Health Watch and Clinical Commissioning Groups (CCGs). The guides aim to influence local borough decisions and how budgets are decided and allocated. The hope is to encourage more collaborative work to reinforce London’s resilience to changes in climate and improve Londoners’ health. PDF downloads (1.6MB) Barking and Dagenham Barnet Bexley Brent Bromley Camden City of London Croydon Ealing Enfield Greenwich Hackney Hammersmith and Fulham Haringey Harrow Havering Hillingdon Hounslow Islington Kensington and Chelsea Kingston upon Thames Lambeth Lewisham Merton Newham Redbridge Richmond upon Thames Southwark Sutton Tower Hamlets Waltham Forest Wandsworth Westminster Download DATA Tables XLS (0.6MB) More information on GLA website
Department for Transport - Road Casualties by Severity
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Casualties on the roads by severity (Killed/seriously injured or slight injuries) for both child and all casualties by borough since 2004. Casualties by 5 year age group and severity for London and Great Britain. Data presented is for personal injury road traffic collisions occurring on the public highway, and reported to the police, in accordance with the Stats 19 national reporting system. Also available: Casualties on the roads by LSOA, MSOA and Ward by severity for years 2010 to 2014. Incident level data: Casualty data for all road accidents 2010 to 2014 are also available for individual incident level in CSV format (11 MB and 87k rows). There are slight differences between the local authority recorded in the official DFT data and this one, which has been geo-coded using the Easting and Northing of the accident. When an accident happens on a borough boundary it is down to the police officer to decide which borough the accident occured in. However, this data uses uses the centre points of the Easting and Northing provided and this can fall into a different local authority. For this reason, the geography in the geo-coded data is not official but does provide indicative information. Incident level data from 2005 onwards is available from TFL ('data extracts').
Greater London Authority - Daytime Population, Borough
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Daytime population - The estimated number of people in a borough in the daytime during an average day, broken down by component sub-groups. The figures given are an average day during school term-time. No account has been made for seasonal variations, or for people who are usually in London (resident, at school or working), but are away visiting another place. Sources include the Business Register and Employment Survey (BRES) (available under license), Annual Population Survey (APS), 2011 Census, Department for Education (DfE), International Passenger Survey (IPS), GB Tourism Survey (GBTS), Great Britain Day Visit Survey (GBDVS), GLA Population Projections, and GLA Economics estimates (GLAE). The figures published in these sources have been used exactly as they appear - no further adjustments have been made to account for possible sampling errors or questionnaire design flaws. Day trip visitors are defined as those on day trips away from home for three hours or more and not undertaking activities that would regularly constitute part of their work or would be a regular leisure activity. International visitors – people from a country other than the UK visiting the location; Domestic overnight tourists – people from other parts of the UK staying in the location for at least one night. All visitor data is modelled and unrounded. This edition was released on 7 October 2015 and replaces the previous estimates for 2013. GLA resident population, 2011 Census resident population, and 2011 Census workday populations (by sex) included for comparison. See a visualisation of this data using Tableau. For more workday population data by age use the Custom Age-Range Tool for Census 2011 Workday population , or download data for a range of geographical levels from NOMIS.
Department for Transport - Road Collisions by Severity
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Road Collisions Data by fatal, serious or slight severity casualty groups by borough and ward. An collision is classed by the worst level of casualty. For example if an accident caused 1 slight injury, 2 serious injuries, and 1 fatality, the collision would be classed as fatal. Road casualty statistics can be found at a separate page. Accident and casualty data can also be found on DFT's Road Safety Data page. See more on the UKDA website and the DfT website.