The attached spreadsheets contain regional experimental estimates (at the Statistical Local Area (SLA) level) of the sources and total amount of personal income people receive and are companion data to the Information Paper: Experimental Estimates of Personal Income for Small Areas, Taxation and Income Support Data (cat. no. 6524.0).
The estimates have been compiled using a combination of aggregated individual income tax data from the Australian Taxation Office (ATO) and aggregated income support customer data from the Australian Government Department of Family and Community Services (FaCS). The compilation of these data are part of the ABS' program to increase the availability of regional statistics, particularly through the use of administrative data collected by other government agencies. All individual income tax statistics and income support data provided to the ABS have been in aggregated form only, at the SLA level. No information about individual taxpayers has been released to the ABS. The ABS wishes to acknowledge the support both the ATO and FaCS have provided in compiling these statistics.
Note: Responsibility for the statistics, in relation to FaCS income support payments and allowances, included in the data cubes are those applying in 2001. Subsequent changes to administrative arrangements mean that responsibility for some of these payments has been transferred to the Department of Employment and Workplace Relations (DEWR) and the Department of Education, Science and Training (DEST) in 2004.
Two sets of tables are available.
The first set (Table 1), containing data for each of the years 1995-96 to 2000-01, provide a breakdown of total personal income by the following sources - wage and salary, own unincorporated business, investment, superannuation and annuity, government cash benefit, and other income. The tables show the number of persons and the total amount for each source of income.
The second set of tables (Table 2), containing data for each of the years 1995-96 to 2001-02, provide a further breakdown of government cash benefits by five main payment types - age pension, disability support pension, newstart allowance, parenting payment and youth allowance. These tables show the number of persons and the total amount for each benefit type.
Detailed information about the methodology and definitions used to compile the statistics and other important data issues and explanatory notes can be referenced in Information Paper: Experimental Estimates of Personal Income for Small Areas, Taxation and Income Support Data, 1995-96 to 2000-01 (cat. no. 6524.0). This paper provides an overview of the administrative data sources used, outlines how the estimates were compiled, explains some of the data limitations and also presents some of the results that have emerged from the study. The tables should not be used without reference to this Information Paper. (Note: The Information Paper can be downloaded free of charge from the ABS website).
(a) The attached spreadsheet files contain data for all SLAs in Australia. Users wishing to obtain a table(s) for a particular State or Territory should contact their local ABS office.
(b) All tables, except Table 2 for 2001-02, are based on SLA boundaries effective at 1 July 2001 as defined in the Detailed Main Structure of the Australian Standard Geographical Classification (ASGC), Volume 1, 2001 (cat. no. 1216.0). Table 2 for 2001-02 is based on ASGC 2002. Users wishing to obtain copies of tables based on the ASGC edition relevant to each particular year (e.g. 1999-00 data based on ASGC 2000) should contact their local ABS office.
(c) The spreadsheets include Statistical Subdivision (SSD) and Local Government Area (LGA) codes which enable aggregation of the data to these geographic levels as well as to Statistical Division (SD).
5673.0 Experimental Estimates, Regional Wage and Salary Earner Statistics, Australia - Electronic Delivery
5673.0.55.001 Regional Wage and Salary Earner Statistics, Australia - Electronic Publication
5673.0.55.003 Regional Wage and Salary Earner Statistics, Australia - Data Cubes