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School of Geography FACULTY OF EARTH & ENVIRONMENT Using OAC for analysis of the 2001 Census interaction data Oliver Duke-Williams

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Presentation on theme: "School of Geography FACULTY OF EARTH & ENVIRONMENT Using OAC for analysis of the 2001 Census interaction data Oliver Duke-Williams"— Presentation transcript:

1 School of Geography FACULTY OF EARTH & ENVIRONMENT Using OAC for analysis of the 2001 Census interaction data Oliver Duke-Williams

2 What are Census Interaction data? How can they be used with area classifications Examples

3 ESRC Census Programme Funded from Separate units for different sets of data Area statistics Boundary data Interaction data Samples of Anonymised Records Longitudinal Study Scottish Longitudinal Study

4 Census Interaction Data What are the Census interaction data? Migration data Journey to work data Journey to school data Interaction data are flow data Also referred to as ‘origin-destination’ data

5 The 2001 Census interaction data Level 1 [‘Districts’] Level 2 [‘Wards’] Level 3 [OAs] Special Migration Statistics 1051 Special Workplace Statistics761 Special Travel Statistics761 Number of dis-aggregate tables in each data set

6 The interaction data at OA level Only one table available SMS: Age by sex SWS / STS: Mode of travel Data are affected by Small Cell Adjustment SCAM applied to Scottish data No OA level SWS for Northern Ireland Observed frequencies of flows of size n, 2001 SMS Level 3

7 OA level SWS Proportion of commuters by OA of residence, who travel by tube to London workplaces Source: 2001 Census – Special Workplace Statistics Level 3

8 OA level SWS Most commonly used mode of transport by OA of residence for journeys to London workplaces Source: 2001 Census – Special Workplace Statistics Level 3

9 Using OAC with interaction data Adding OAC codes to output Aggregate origins or destinations by OAC class Aggregate both by OAC class Use in conjunction with distance data Examples of use with SMS, SWS, STS?

10 Using OAC classifications

11 Aggregation by OAC Example: what classes of areas to migrants to location X come from? Origins: OAs aggregated by OAC supergroup Destinations: three districts with differing degrees of deprivation Rank districts by mean Index of Multiple Deprivation score of contained SOAs Pick highest, lowest and middle

12 Migrants’ origins - supergroup Source: 2001 Census – Special Migration Statistics Level 3

13 Migrants’ origins - supergroup Source: 2001 Census – Special Migration Statistics Level 3

14 Migrant’s origins - supergroup Source: 2001 Census – Special Migration Statistics Level 3

15 Aggregating by OAC and area OAC supergroup of origin OA: class with largest share of in-migrants, by ward OAC supergroup of destination OA: class with largest share of out- migrants, by ward Source: 2001 Census – Special Migration Statistics Level 3

16 Migration between OAC supergroups OriginsDestinations Blue Collar Communities City LivingCountrysideProspering Suburbs Constrained by Circumstances Typical Traits Multicultural Blue Collar Communities City Living Countryside Prospering Suburbs Constrained by C’stances Typical Traits Multicultural Source: 2001 Census – Special Migration Statistics Level 3

17 Net flows between OAC supergroups OriginsDestinations Blue Collar Communities City Living Countryside Prospering Suburbs Constrained by Circumstances Typical Traits Multicultural Net outflow Blue Collar Communities City Living Countryside Prospering Suburbs Constrained by Circumstances Typical Traits Multicultural Source: 2001 Census – Special Migration Statistics Level 3

18 Aggregate by distance travelled OA 1 OA 2

19 OA level SWS SupergroupPersons km travelled Blue Collar Communities City Living Countryside Prospering Suburbs Constrained by Circumstances Typical Traits Multicultural Source: 2001 Census – Special Workplace Statistics Level 3 Mean distance travelled (km) to City of London, by OAC supergroup of origin

20 Journey to place of study Group label Group code Underground Train Bus Taxi Car driver Car passenger Motorbike Bicycle On foot Other Terraced Blue Collar 1a Younger Blue Collar 1b Older Blue Collar 1c Transient Communities 2a Settled in the City 2b Village Life 3a Agricultural 3b Accessible Countryside 3c Prospering Younger Families 4a Prospering Older Families 4b Prospering Semis 4c Thriving Suburbs 4d Senior Communities 5a Older Workers 5b Public Housing 5c Settled Households 6a Least Divergent 6b Young Families in Terraced Homes 6c Aspiring Households 6d Asian Communities 7a Afro-Caribbean Communities 7b Source: 2001 Census – Special Travel Statistics Level 3 Mean distance travelled (km) to place of study, by OAC group of origin and mode of transport

21 Conclusions OAC can be used simply as a contextual reference OA level interaction data have to be treated with caution, but are not useless OAC can enhance the OA level interaction data Data can be aggregated on the basis of OAC as well as on the basis of geography Spatial information can be retained by combining OAC aggregation with distance-travelled information


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