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This spread sheet shows all of the State Suburbs for the ACT and the % of the 15-64 year old population within each Socio-Economic Indexes for Individuals (SEIFI) IRSD group. The data used to create this information was the same as used in the research paper “Socio-Economic Indexes for Areas: Getting a handle on individual diversity within areas” by Phillip Wise and Rosalynn Mathews. It is advised that this paper is read to further develop an understanding of the concepts and caveats associated with the analytical output contained in the spreadsheet.
Group 1 – Approx. most disadvantage 20% of the 15-64 year old population
Group 2 – Approx. second most disadvantaged 20% of the 15- 64 population
Group 3 – Approx. second least disadvantaged 30% of the 15-64 year old population
Group 4 – Approx. least disadvantaged 30% of the 15-64 year old population
Group 2 – Approx. second most disadvantaged 20% of the 15- 64 population
Group 3 – Approx. second least disadvantaged 30% of the 15-64 year old population
Group 4 – Approx. least disadvantaged 30% of the 15-64 year old population
Please also note that not all ACT CDs have been included as their populations are below the ABS population count threshold (<3), those removed are:
- 8013801 in Reid
- 8012805 in Turner
- 8014302 in Kingston
- 8021701 in Unclassified ACT
- 8010110 in Bonner
- 8023401 in Tharwa
- 8010103 in Unclassified ACT
- 8014305 in Kingston
- 8014803 in Forrest
- 8013801 in Reid
- 8012805 in Turner
- 8014302 in Kingston
- 8021701 in Unclassified ACT
- 8010110 in Bonner
- 8023401 in Tharwa
- 8010103 in Unclassified ACT
- 8014305 in Kingston
- 8014803 in Forrest
It should be noted that multiple Compact Discs of data make up this dataset, as a result the data for each suburb is distributed across several discs. This cccounts for the multiple rows of data that appear for each suburb.
Updated
July 17 2017
Views
1,242
This spread sheet shows ABS geographic standards from 2006 across Australia and the % of the 15-64 year old population within each Socio-Economic Indexes for Individuals (SEIFI) IRSAD group. The data used to create this information was the same as used in the research paper “Socio-Economic Indexes for Areas: Getting a handle on individual diversity within areas” by Phillip Wise and Rosalynn Mathews. It is advised that this paper is read to further develop an understanding of the concepts and caveats associated with the analytical output contained in the spreadsheet.]
Roughly, the most disadvantaged 10% of the 15–64 year old population falls into group 1, whilst group 10 contains the most advantaged 10%. The smallest group in terms of 15–64 year old population proportion is group 6 with 7.78%, compared to group 7 with the largest percentage at 12% due to clustering at this point in the distribution of scores.
Group 1 – Approx. 9.6% of the 15-64 year old population
Group 2 – Approx. 10.0% of the 15-64 year old population
Group 3 – Approx. 11.5% of the 15-64 year old population
Group 4 – Approx. 8.6% of the 15-64 year old population
Group 5 – Approx. 11.4% of the 15-64 year old population
Group 6 – Approx. 7.8% of the 15-64 year old population
Group 7 – Approx. 12.0% of the 15-64 year old population
Group 8 – Approx. 9.1% of the 15-64 year old population
Group 9 – Approx. 9.5% of the 15-64 year old population
Group 10 – Approx. 10.5% of the 15-64 year old population
Roughly, the most disadvantaged 10% of the 15–64 year old population falls into group 1, whilst group 10 contains the most advantaged 10%. The smallest group in terms of 15–64 year old population proportion is group 6 with 7.78%, compared to group 7 with the largest percentage at 12% due to clustering at this point in the distribution of scores.
Group 1 – Approx. 9.6% of the 15-64 year old population
Group 2 – Approx. 10.0% of the 15-64 year old population
Group 3 – Approx. 11.5% of the 15-64 year old population
Group 4 – Approx. 8.6% of the 15-64 year old population
Group 5 – Approx. 11.4% of the 15-64 year old population
Group 6 – Approx. 7.8% of the 15-64 year old population
Group 7 – Approx. 12.0% of the 15-64 year old population
Group 8 – Approx. 9.1% of the 15-64 year old population
Group 9 – Approx. 9.5% of the 15-64 year old population
Group 10 – Approx. 10.5% of the 15-64 year old population
Updated
August 1 2018
Views
241
This spread sheet shows ABS geographic standards from 2006 across Australia and the % of the 15-64 year old population within each Socio-Economic Indexes for Individuals (SEIFI) IRSD group. The data used to create this information was the same as used in the research paper “Socio-Economic Indexes for Areas: Getting a handle on individual diversity within areas” by Phillip Wise and Rosalynn Mathews. It is advised that this paper is read to further develop an understanding of the concepts and caveats associated with the analytical output contained in the spreadsheet.
Group 1 – Approx. most disadvantage 20% of the 15-64 year old population
Group 2 – Approx. second most disadvantaged 20% of the 15- 64 population
Group 3 – Approx. second least disadvantaged 30% of the 15-64 year old population
Group 4 – Approx. least disadvantaged 30% of the 15-64 year old population
Group 1 – Approx. most disadvantage 20% of the 15-64 year old population
Group 2 – Approx. second most disadvantaged 20% of the 15- 64 population
Group 3 – Approx. second least disadvantaged 30% of the 15-64 year old population
Group 4 – Approx. least disadvantaged 30% of the 15-64 year old population
Updated
August 1 2018
Views
124
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