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Socio-economic variables by SLA for Australia
Socio-economic variables of Statistical Local Areas in Australia (1996-2006). The variables were derived from 2006, 2001 and 1996 census.
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Socio-economic variables by LGA for Australia
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Socio-economic variables of Local Government Areas in Australia (1996-2006). The variables were derived from 2006, 2001 and 1996 census.
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Economic Resources (SLA) 2006
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This data is Statistical Local Areas (SLA) based Socio-Economic Indexes for Areas (SEIFA) Index of Economic Resources (IER) - This index includes variables that are associated with economic resources. Variables include rent paid, income by family type, mortgage payments, and rental properties, based on the 2006 census. The data follows the 2006 Australian Standard Geographical Classification (ASGC) boundaries. The Australian Bureau of Statistics (ABS) has developed indexes to allow ranking of regions/areas, providing a method of determining the level of social and economic wellbeing in that region. There are four indexes included in the SEIFA 2006 product. They relate to socio-economic aspects of geographic areas. Each index summarises a different aspect of the socio-economic conditions in an area. The indexes have been obtained by a technique called principal components analysis. This technique summarises the information from a variety of social and economic variables, calculating weights that will give the best summary for the underlying variables. For the SEIFA indexes, each index uses a different set of underlying variables. All the indexes (including the Index of Relative Socio-Economic Disadvantage) have been constructed so that relatively disadvantaged areas (e.g. areas with many low income earners) have low index values. This data is ABS data (catalogue number: 2033.0.55.001) used with permission from the Australian Bureau of Statistics. For more information on this data please visit the Australian Bureau of Statistics.Please note: AURIN has spatially enabled the original data following the 2006 ASGC.
SA2 Social Indicators for the Indigenous Population (Synthetic estimate) 2011
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The small area (SA2) estimates of indigenous social indicator in Australia. This is an outcome of a process that combines substantial geographic information from the latest 2011 Census with the rich variable detail of National Aboriginal and Torres Strait Islander Social Survey (NATSISS) 2008. The model uses both these sets of data to gain reliable small area estimates of Indigenous social indicator. The indicators include participation in cultural activities; social capital; discrimination; health status; psychological stress; social and emotional wellbeing; financial stress; feelings of safety or stress; identification with clan, tribal or language group.
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Economic Resources (CD) 2006
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This data is Census Collection Districts (CD) based Socio-Economic Indexes for Areas (SEIFA) Index of Economic Resources (IER) - This index includes variables that are associated with economic resources. Variables include rent paid, income by family type, mortgage payments, and rental properties, based on the 2006 census. The data follows the 2006 Australian Standard Geographical Classification (ASGC) boundaries. The Australian Bureau of Statistics (ABS) has developed indexes to allow ranking of regions/areas, providing a method of determining the level of social and economic wellbeing in that region. There are four indexes included in the SEIFA 2006 product. They relate to socio-economic aspects of geographic areas. Each index summarises a different aspect of the socio-economic conditions in an area. The indexes have been obtained by a technique called principal components analysis. This technique summarises the information from a variety of social and economic variables, calculating weights that will give the best summary for the underlying variables. For the SEIFA indexes, each index uses a different set of underlying variables. All the indexes (including the Index of Relative Socio-Economic Disadvantage) have been constructed so that relatively disadvantaged areas (e.g. areas with many low income earners) have low index values. This data is ABS data (catalogue number: 2033.0.55.001) used with permission from the Australian Bureau of Statistics. For more information on this data please visit the Australian Bureau of Statistics.Please note: AURIN has spatially enabled the original data following the 2006 ASGC.
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Relative Socio-Economic Advantage and Disadvantage (SLA) 2006
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This data is Statistical Local Areas (SLA) based Socio-Economic Indexes for Areas (SEIFA) Index of Advantage/Disadvantage (IRSAD) - Is a continuum of advantage to disadvantage. Low values indicate areas of disadvantage; and high values indicate areas of advantage. This data is based on the 2006 census and follows the 2006 Australian Standard Geographical Classification (ASGC) boundaries. The Australian Bureau of Statistics (ABS) has developed indexes to allow ranking of regions/areas, providing a method of determining the level of social and economic wellbeing in that region. There are four indexes included in the SEIFA 2006 product. They relate to socio-economic aspects of geographic areas. Each index summarises a different aspect of the socio-economic conditions in an area. The indexes have been obtained by a technique called principal components analysis. This technique summarises the information from a variety of social and economic variables, calculating weights that will give the best summary for the underlying variables. For the SEIFA indexes, each index uses a different set of underlying variables. All the indexes (including the Index of Relative Socio-Economic Disadvantage) have been constructed so that relatively disadvantaged areas (e.g. areas with many low income earners) have low index values. This data is ABS data (catalogue number: 2033.0.55.001) used with permission from the Australian Bureau of Statistics. For more information on this data please visit the Australian Bureau of Statistics.Please note: AURIN has spatially enabled the original data following the 2006 ASGC.
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Education and Occupation (SLA) 2006
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This data is Statistical Local Areas (SLA) based Socio-Economic Indexes for Areas (SEIFA) Index of Education and Occupation (IEO) - This index includes all education and occupation variables only, based on the 2006 census. The data follows the 2006 Australian Standard Geographical Classification (ASGC) boundaries. The Australian Bureau of Statistics (ABS) has developed indexes to allow ranking of regions/areas, providing a method of determining the level of social and economic wellbeing in that region. There are four indexes included in the SEIFA 2006 product. They relate to socio-economic aspects of geographic areas. Each index summarises a different aspect of the socio-economic conditions in an area. The indexes have been obtained by a technique called principal components analysis. This technique summarises the information from a variety of social and economic variables, calculating weights that will give the best summary for the underlying variables. For the SEIFA indexes, each index uses a different set of underlying variables. All the indexes (including the Index of Relative Socio-Economic Disadvantage) have been constructed so that relatively disadvantaged areas (e.g. areas with many low income earners) have low index values. This data is ABS data (catalogue number: 2033.0.55.001) used with permission from the Australian Bureau of Statistics. For more information on this data please visit the Australian Bureau of Statistics.Please note: AURIN has spatially enabled the original data following the 2006 ASGC.
NATSEM - Social and Economic Indicators - Dependency Rate SA2 2016
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This dataset presents the dependency rate of the population in small regions of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The data has been provided by The National Centre for Social and Economic Modelling (NATSEM). The dependency rate is the number of people of working age (20-64) divided by the number of people of retirement age (65 and over). All indicators were extracted from the ABS Tablebuilder system using the usual residence profile. For usual residence data, the ABS moves people back to where they live, rather than using the location the data were collected (place of enumeration). Usual residence data is preferred for individual level data because it removes the effect of respondents travelling or holidaying. The treatment of Not Stated data is to exclude them from both the numerator and the denominator. For more information please view the NATSEM Technical Report. Please note: AURIN has spatially enabled the original data provided directly from NATSEM. Where data values are NULL, the data is either unpublished or not applicable mathematically. Methodology between the 2016 NATSEM and 2011 OECD data release may have changed, please refer to the technical report for parity status and specific changes.
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Economic Resources (SA2) 2016
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This data is SA2 based SEIFA data on The Index of Economic Resources, 2016. Data is based upon 2016 ASGS boundaries. Socio-Economic Indexes for Areas (SEIFA) is an ABS product that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the five-yearly Census of Population and Housing. SEIFA 2016 has been created from Census 2016 data and consists of four indexes: The Index of Relative Socio-economic Disadvantage (IRSD); The Index of Relative Socio-economic Advantage and Disadvantage (IRSAD); The Index of Education and Occupation (IEO); The Index of Economic Resources (IER). Each index is a summary of a different subset of Census variables and focuses on a different aspect of socio-economic advantage and disadvantage. This data is ABS data (catalogue number: 2033.0.55.001) used with permission from the Australian Bureau of Statistics. For more information on this data please visit the Australian Bureau of Statistics.
Blake Ford - Socio-economic Index for Individuals (SEIFI) 2006 - Index of Relative Socio-economic Advantage and Disadvantage 10 groups
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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
Blake Ford - Socio-economic Index for Individuals (SEIFI) 2006 - Index of Relative Socio-economic Disadvantage 4 groups
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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