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Clare Nolan Places for People

Data Everywhere x2 . Clare Nolan Places for People. Introduction. Quick introduction External housing data Census 2011 Geo-demographics. Places for People & GIS. Approximately 60,000 properties From Stirling to Isle of White

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Clare Nolan Places for People

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  1. Data Everywhere x2  Clare NolanPlaces for People

  2. Introduction • Quick introduction • External housing data • Census 2011 • Geo-demographics

  3. Places for People & GIS • Approximately 60,000 properties • From Stirling to Isle of White • Concentrated in North West, West Yorkshire and North East. • GIS since 2007 • GIS lives in the research team • Heavily use external data to aid research in PfP.

  4. What Data? Children Older People Deprivation House Building Current Projected Population Incapacity Benefit Income Data Unemployment Ethnicity Crime & ASB Older Persons Provision Greenspace Education House Prices

  5. From Where? • Census 2001 – only 1 more year to wait until the next one! • ONS Surveys such as Annual Survey of Hours and Earnings, • Government departments i.e. Department of Work and Pensions, Communities etc. • Land Registry • Private research bodies/companies i.e. Elderly Accommodation Council • Data has been available for ages, but often hard to find and download • Tim Berners-Lee & Nigel Shadbolt advising government to open up data, providing an easy single access point. • Data.gov.uk went live in February

  6. Land Registry • Have a record of every transaction • Provide a monthly statistical release • Have an index which can be queried. • House prices/sales • House types • Comparison of 2 LAs

  7. Everyone’s favourite – the RSR! • Stock coverage and numbers • Rent levels • Other providers in the area

  8. CLG Live Tables Amenities Starts/Completions Number of Dwellings Overcrowding/Undercrowding RSL Stock CLG – LA Data Homelessness Household Estimates Waiting Lists Ratio of House Prices to Income Rents Lower Quartile House Prices Data Sources for CLG include Land Registry, RSR, Local Authority returns, Annual Population Survey and the Census

  9. CLG - Useful but Annoying! • No Codes • Different formatting

  10. Census 2011 – 27th March • Question Differences – Little Change • Health question now has more categories to choose from • Marital status and ethnicity questions have been expanded • Indoor bathroom question scrapped • Passport ownership • Ability to read and speak English • The housing option now includes shared ownership as a category.

  11. Census 2011 – Output Differences • Dissemination should be much quicker. • 2001 – First data was released in September 2002, completed in April 2006. • 2011 – No set dates! Planned for first release by 2012, and all data to be released by 2013. • The output geography is already largely set up. Will be a few changes to OAs where appropriate, and there will be an additional layer of ‘Upper Super Output Areas’ • First time that it can be completed online, allowing for validation at point of entry. • Where applicable data will be available which shows changes between the 2001 and 2011 Census. • Users will be able to create their own tables and cross-tabs.

  12. Census 2011 – Output Differences

  13. Census 2011 – Geodemographics • Last time there was a 94% total response rate, but in some places this was as low as 70%. • Using geodemographic data from a combination of sources including Acorn, Mosaic, DWP Data, Output Area Classification and 2001 Census data, they have created ‘enumeration targeting categories’. These rank areas into five ‘hard to count’ categories. • The results of the Census 2011 will be used to update the ONS Output Area Classification as well as all the other geodemographic datasets.

  14. Geodemographics • Combines: • demographics – human population dynamics • geography – where people are • sociology • Is the art and science of profiling people based on where they live. EuroData - Cameo CACI - Acorn Experian - Mosaic Clockworks - Sonar ONS/Uni of Leeds - Output Area Classification Dunnhumby (Tesco) - Cruicble Beacon Dodsworth – P2

  15. Appropriateness? • Geodemographics can give us a wealth of information about where our properties are, but is it always appropriate? • Disseminated at a particular geography. • Often the smallest geography is bigger than one of our neighbourhoods Good estate Bad estate

  16. Solutions 1. Modify geodemographic classifications to suit you 2. Create your own

  17. Specifically for us • Can use internally held housing management and tenant data to build up our own classification . This can include: • Voids • Arrears • HB claimant • Economic activity • Age • Number of children • Number of cars • etc. • The classifications can be created using simple indexes or more complex statistical analysis such as k-means clustering to create the categories. • Get to give your new categories silly names…

  18. PfP Classification - Examples Serial Complainers Contented Population Regular Late Payers Upwardly Mobile Need a little help

  19. Problem 1 GARBAGE IN GARBAGE OUT

  20. Problem 2 - MAUP • Modifiable Areal Unit Problem • MAUP arises when different aggregations of individual counts (i.e., drawing the boundaries in different ways) produce different spatial patterns. • There is no cure for MAUP! • Have to think at which scale the data is most appropriate.

  21. The End! Questions?

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