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UCL DEPARTMENT OF GEOGRAPHY




  Geodemographic Output Area
  Classifications for London, 2001-2011
  Chris Gale*           Paul Longley
  mapblog.in            paul-longley.com
  @geogale

  * Conference attendance kindly supported by RGS-IBG funded QMRG bursary




  UCL Department of Geography, Gower Street, London, WC1E 6BT
UCL DEPARTMENT OF GEOGRAPHY




  Outline
  •   Geodemographic Classifications
  •   The 2001 Output Area Classification
  •   London and the 2001 Output Area Classification
  •   Change since 2001
  •   Uncertainty and the 2001 Output Area Classification
  •   Summary
UCL DEPARTMENT OF GEOGRAPHY




  Geodemographic Classifications
  • A Geodemographic Classification:
        – Simplifies a large and complex body of information about a
          population, where and how they live and work.
        – Based on premise that similar people live in similar
          locations, undertake similar activities and have similar
          lifestyles and that such area types will be distributed in
          different locations across a geographical space
  • Clustering algorithms partition demographic data into
    groups sharing similar characteristics
  • Commercial (MOSAIC, ACORN) and free (OAC)
    classifications available
UCL DEPARTMENT OF GEOGRAPHY




  The 2001 Output Area Classification (OAC)
  • Groups the UK population
    into:
        – 7 Supergroups
        – 21 Groups
        – 52 Subgroups
  • Only data source used is the
    2001 Census
        – 41 Variables
  • Variety of organisations use it
    including local government
    and commercial companies
UCL DEPARTMENT OF GEOGRAPHY
UCL DEPARTMENT OF GEOGRAPHY




  OAC Cluster Distributions - UK and London
      Supergroup              OAC - UK        OAC - London
      Blue Collar
                              16.1% (35837)   2.5% (606)
      Communities

      City Living             7.5% (16637)    21.4% (5174)

      Countryside             12.4% (27681)   0.1% (21)

      Prospering Suburbs      21.2% (47250)   7.4% (1782)

      Constrained by
                              14.9% (33165)   2.5% (592)
      Circumstances

      Typical Traits          18.3% (40769)   10.1% (2430)

      Multicultural           9.7% (21721)    56.1% (13535)
                                                          Counts in brackets
UCL DEPARTMENT OF GEOGRAPHY




  OAC Cluster Distributions - UK and London
UCL DEPARTMENT OF GEOGRAPHY




  2001 London Output Area Classification
  • Same methodology as the 2001 OAC
  • Uses same Census variables as the 2001 OAC - but
    includes only data for London
  • 24,140 OAs cover London - instead of the 223,060 OAs
    that cover the UK
  • London contains 9.24% of UK’s OAs and 12.5% of UK’s
    population
  • 7 Supergroups created – Groups and Subgroups levels
    were not clustered
  • Based on Petersen et.al. 2010 paper
UCL DEPARTMENT OF GEOGRAPHY
UCL DEPARTMENT OF GEOGRAPHY




  2001 LOAC Cluster Distributions
      Supergroup              OA Count   OA Percentage (%)

     Suburban                 2506       10.4

     Council Flats            3678       15.2

     Asian Quarters           2716       11.3

     Central District         3409       14.1

     Blue Collar              3114       12.9

     City Commuter            3542       14.7

     London Terraces          5175       21.4
UCL DEPARTMENT OF GEOGRAPHY




  2001 OAC vs. 2001 LOAC Cluster Profiles
  • 2001 LOACs clusters significantly different to those of
    the 2001 OAC
        – Difference meant using same cluster names and profiles as
          OAC was not possible for LOAC
  • Cluster names and profiles for 2001 LOAC created by
    Petersen et.al.
  • Illustrates different results can be created by a regional
    classification compared to a national alternative
  • 2001 LOAC better representation of London compared
    to the 2001 OAC - but lacks compatibility and
    comparability with rest of the UK
UCL DEPARTMENT OF GEOGRAPHY




  Bespoke Geodemographic Classifications
  • Being able to easily create bespoke classifications
    without any expert knowledge is one possible solution
    to unsatisfactory cluster assignment
  • Using tools like ‘GeodemCreator’ classifications could
    have (but not limited to):
        – The variables modified
        – The geography changed
        – Different standardisation techniques and clustering
          algorithms used
  • In the case of the 2001 OAC this could resolve a
    problem when used at a regional level (e.g. London)
UCL DEPARTMENT OF GEOGRAPHY




  Change and OAC Uncertainty
  • Change happens across the UK – but this change
    happens at different rates for different areas
  • The 2001 OAC uses Census data that is now 11 years
    old
  • How much uncertainty in the 2001 OAC since 2001?
  • This uncertainty will vary depending on the amount of
    change that has occurred in a particular area over time
  • A measure can be calculated to indicate how reliable
    the 2001 OAC becomes over time
UCL DEPARTMENT OF GEOGRAPHY
UCL DEPARTMENT OF GEOGRAPHY
UCL DEPARTMENT OF GEOGRAPHY
UCL DEPARTMENT OF GEOGRAPHY




  Uncertainty in London: 2001 OAC Case Study
  • Uses Mid-Year Population Estimates from 2002 to
    2010 at Output Area level
  • Assumption:
        – The greater the population change from 2001 the greater
          the uncertainty
  • Allows for the uncertainty of different OAC
    Supergroups to be compared over time
  • Different methods can be used to visualise this
    uncertainty
UCL DEPARTMENT OF GEOGRAPHY
UCL DEPARTMENT OF GEOGRAPHY
UCL DEPARTMENT OF GEOGRAPHY
UCL DEPARTMENT OF GEOGRAPHY
UCL DEPARTMENT OF GEOGRAPHY
UCL DEPARTMENT OF GEOGRAPHY
UCL DEPARTMENT OF GEOGRAPHY




  Uncertainty in London: 2001 OAC Case Study
  • Current lack of data at Output Area level makes
    creating a more comprehensive measure of
    uncertainty difficult
  • Assumes the greater the population change the more
    uncertain the classification – BUT population change
    could also be reaffirming OAC Supergroup allocation
  • Should be used as more of a note of caution when
    using the 2001 OAC rather than a definite answer to if
    the classification is now ‘wrong’
  • The uncertainty of the uncertainty measure needs to
    be taken into account
UCL DEPARTMENT OF GEOGRAPHY




  Summary
  • The 2001 OAC does not classify London well
  • The 2001 LOAC was created by Petersen et.al is one
    solution to this
  • A measure of uncertainty gives some understanding
    how reliable geodemographic classifications (that do
    not employ updating of variables) become over time
  • The uncertainty measures themselves have a level of
    uncertainty
  • Uncertainty measure does not quantify how much the
    OAC Supergroup assignment is ‘wrong’– BUT does
    allow for areas of possible change to be identified
UCL DEPARTMENT OF GEOGRAPHY




                       Any Questions?

                              Chris Gale
                                 mapblog.in
                          areaclassification.org.uk
                                 @geogale
                            c.gale.10@ucl.ac.uk

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Geodemographic Output Area Classifications for London, 2001-2011

  • 1. UCL DEPARTMENT OF GEOGRAPHY Geodemographic Output Area Classifications for London, 2001-2011 Chris Gale* Paul Longley mapblog.in paul-longley.com @geogale * Conference attendance kindly supported by RGS-IBG funded QMRG bursary UCL Department of Geography, Gower Street, London, WC1E 6BT
  • 2. UCL DEPARTMENT OF GEOGRAPHY Outline • Geodemographic Classifications • The 2001 Output Area Classification • London and the 2001 Output Area Classification • Change since 2001 • Uncertainty and the 2001 Output Area Classification • Summary
  • 3. UCL DEPARTMENT OF GEOGRAPHY Geodemographic Classifications • A Geodemographic Classification: – Simplifies a large and complex body of information about a population, where and how they live and work. – Based on premise that similar people live in similar locations, undertake similar activities and have similar lifestyles and that such area types will be distributed in different locations across a geographical space • Clustering algorithms partition demographic data into groups sharing similar characteristics • Commercial (MOSAIC, ACORN) and free (OAC) classifications available
  • 4. UCL DEPARTMENT OF GEOGRAPHY The 2001 Output Area Classification (OAC) • Groups the UK population into: – 7 Supergroups – 21 Groups – 52 Subgroups • Only data source used is the 2001 Census – 41 Variables • Variety of organisations use it including local government and commercial companies
  • 5. UCL DEPARTMENT OF GEOGRAPHY
  • 6. UCL DEPARTMENT OF GEOGRAPHY OAC Cluster Distributions - UK and London Supergroup OAC - UK OAC - London Blue Collar 16.1% (35837) 2.5% (606) Communities City Living 7.5% (16637) 21.4% (5174) Countryside 12.4% (27681) 0.1% (21) Prospering Suburbs 21.2% (47250) 7.4% (1782) Constrained by 14.9% (33165) 2.5% (592) Circumstances Typical Traits 18.3% (40769) 10.1% (2430) Multicultural 9.7% (21721) 56.1% (13535) Counts in brackets
  • 7. UCL DEPARTMENT OF GEOGRAPHY OAC Cluster Distributions - UK and London
  • 8. UCL DEPARTMENT OF GEOGRAPHY 2001 London Output Area Classification • Same methodology as the 2001 OAC • Uses same Census variables as the 2001 OAC - but includes only data for London • 24,140 OAs cover London - instead of the 223,060 OAs that cover the UK • London contains 9.24% of UK’s OAs and 12.5% of UK’s population • 7 Supergroups created – Groups and Subgroups levels were not clustered • Based on Petersen et.al. 2010 paper
  • 9. UCL DEPARTMENT OF GEOGRAPHY
  • 10. UCL DEPARTMENT OF GEOGRAPHY 2001 LOAC Cluster Distributions Supergroup OA Count OA Percentage (%) Suburban 2506 10.4 Council Flats 3678 15.2 Asian Quarters 2716 11.3 Central District 3409 14.1 Blue Collar 3114 12.9 City Commuter 3542 14.7 London Terraces 5175 21.4
  • 11. UCL DEPARTMENT OF GEOGRAPHY 2001 OAC vs. 2001 LOAC Cluster Profiles • 2001 LOACs clusters significantly different to those of the 2001 OAC – Difference meant using same cluster names and profiles as OAC was not possible for LOAC • Cluster names and profiles for 2001 LOAC created by Petersen et.al. • Illustrates different results can be created by a regional classification compared to a national alternative • 2001 LOAC better representation of London compared to the 2001 OAC - but lacks compatibility and comparability with rest of the UK
  • 12. UCL DEPARTMENT OF GEOGRAPHY Bespoke Geodemographic Classifications • Being able to easily create bespoke classifications without any expert knowledge is one possible solution to unsatisfactory cluster assignment • Using tools like ‘GeodemCreator’ classifications could have (but not limited to): – The variables modified – The geography changed – Different standardisation techniques and clustering algorithms used • In the case of the 2001 OAC this could resolve a problem when used at a regional level (e.g. London)
  • 13. UCL DEPARTMENT OF GEOGRAPHY Change and OAC Uncertainty • Change happens across the UK – but this change happens at different rates for different areas • The 2001 OAC uses Census data that is now 11 years old • How much uncertainty in the 2001 OAC since 2001? • This uncertainty will vary depending on the amount of change that has occurred in a particular area over time • A measure can be calculated to indicate how reliable the 2001 OAC becomes over time
  • 14. UCL DEPARTMENT OF GEOGRAPHY
  • 15. UCL DEPARTMENT OF GEOGRAPHY
  • 16. UCL DEPARTMENT OF GEOGRAPHY
  • 17. UCL DEPARTMENT OF GEOGRAPHY Uncertainty in London: 2001 OAC Case Study • Uses Mid-Year Population Estimates from 2002 to 2010 at Output Area level • Assumption: – The greater the population change from 2001 the greater the uncertainty • Allows for the uncertainty of different OAC Supergroups to be compared over time • Different methods can be used to visualise this uncertainty
  • 18. UCL DEPARTMENT OF GEOGRAPHY
  • 19. UCL DEPARTMENT OF GEOGRAPHY
  • 20. UCL DEPARTMENT OF GEOGRAPHY
  • 21. UCL DEPARTMENT OF GEOGRAPHY
  • 22. UCL DEPARTMENT OF GEOGRAPHY
  • 23. UCL DEPARTMENT OF GEOGRAPHY
  • 24. UCL DEPARTMENT OF GEOGRAPHY Uncertainty in London: 2001 OAC Case Study • Current lack of data at Output Area level makes creating a more comprehensive measure of uncertainty difficult • Assumes the greater the population change the more uncertain the classification – BUT population change could also be reaffirming OAC Supergroup allocation • Should be used as more of a note of caution when using the 2001 OAC rather than a definite answer to if the classification is now ‘wrong’ • The uncertainty of the uncertainty measure needs to be taken into account
  • 25. UCL DEPARTMENT OF GEOGRAPHY Summary • The 2001 OAC does not classify London well • The 2001 LOAC was created by Petersen et.al is one solution to this • A measure of uncertainty gives some understanding how reliable geodemographic classifications (that do not employ updating of variables) become over time • The uncertainty measures themselves have a level of uncertainty • Uncertainty measure does not quantify how much the OAC Supergroup assignment is ‘wrong’– BUT does allow for areas of possible change to be identified
  • 26. UCL DEPARTMENT OF GEOGRAPHY Any Questions? Chris Gale mapblog.in areaclassification.org.uk @geogale c.gale.10@ucl.ac.uk

Hinweis der Redaktion

  1. Point 2 – i.e. birds of a feather flock together