External consultants and contractors engaged by SAFA during the Financial Year categorised by expenditure

This dataset presents time series data about debtors and insolvencies for each quarter from Q4 2013 to Q2 2017. The dataset is presented by 2011 Statistical Area Level 3 (SA3) boundaries following the Australian Statistical Geography Standard (ASGS). The Australian Financial Security Authority (AFSA) publishes Greater Capital Cities Statistical Area (GCCSA) and SA3 breakdowns of the number of debtors with business and non-business related personal insolvencies on a quarterly basis, using the Australian Bureau of Statistics (ABS) Australian Statistical Geography Standard (ASGS). Explanatory notes can be found at AFSA Regional Statistics AURIN has spatially enabled the original data. AFSA suppressed the data for regions with small numbers of individuals to protect the privacy and confidentiality of insolvent debtors. Whenever necessary to suppress data, cells are nulled. Generally, AFSA publishes data with three or more debtors. Regional personal insolvency activity statistics are reported based on the number of debtors. State totals include 'Other (not in ASGS). AURIN has added month and year columns for filtering purposes

This dataset presents time-series data about debtors and insolvencies for each quarter from Q3 2017 to Q2 2020. The dataset is presented by 2016 Greater Capital City Statistical Area (GCCSA) boundaries following the Australian Statistical Geography Standard (ASGS). The Australian Financial Security Authority (AFSA) publishes GCCSA and Statistical Area Level 3 (SA3) breakdowns of the number of debtors with business and non-business related personal insolvencies on a quarterly basis, using the Australian Bureau of Statistics (ABS) ASGS. Explanatory notes can be found at AFSA Regional Statistics AURIN has spatially enabled the original data. AFSA suppressed the data for regions with small numbers of individuals to protect the privacy and confidentiality of insolvent debtors. Whenever necessary to suppress data, cells are nulled. Generally, AFSA publishes data with three or more debtors. Regional personal insolvency activity statistics are reported based on the number of debtors. AURIN has added month and year columns for filtering purposes

The SA Arid Lands Landscape Board reports on its activities each financial year in the form of an annual report. This report relates to the 2021-22 financial year being the first year the board has been in operation since transitioning to the Landscape South Australia Act 2019

The SA Arid Lands Landscape Board reports on its activities each financial year in the form of an annual report. This report relates to the 2020-21 financial year being the first year the board has been in operation since transitioning to the Landscape South Australia Act 2019 .

Contractors engaged by SA Housing Authority. The data set includes: contractors name, service provided and value ($) of service. Note: The South Australian Housing Trust trades as SA Housing Authority. SA Housing Authority commenced operations 1 July 2018.

Statistics from the LSA's 2023-24 Annual Report. It covers participant statistics for the Lifetime Support Scheme as of 30 June 2024, total payments for treatment, care, and support services in 2023-24, and statistics on work health, safety, and return to work programs. Additionally, it includes information on executive employment in the agency, financial performance, external consultancies, external contractors, and the number of public complaints reported. For more detailed explanations, please refer to the Annual Report.

This dataset presents aggregated values of Superannuation Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Statistical Area Level 2 (SA2) boundaries. This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release: Employee Income Own Unincorporated Business Income Investment Income Superannuation Income Other Income (Income not allocatable to any other categories) Total Income (Sum of previous categories) These statistics provide insights into the nature of regional economies and the economic well-being of the people who live there. The data has been sourced from the Australian Taxation Office (ATO) and is presented with the updated 2016 editions of the Australian Statistical Geography Standards (ASGS): Statistical Area Level 2 (SA2); Statistical Area Level 3 (SA3); Statistical Area Level 4 (SA4); Greater Capital City Statistical Area (GCCSA) and Local Government Area (LGA). For more information on the release please visit the Australian Bureau of Statistics. Please note: When interpreting these results, it should be noted that some low income earners, for example those receiving Government pensions and allowances, or those who earned below the tax free threshold, may not be present in the data, as they may not be required to lodge personal tax forms. Other individuals may not lodge a tax return even if required, therefore care should be taken in interpreting the data as well as comparing the data in this publication with other income data produced by the ABS. To minimise the risk of identifying individuals in aggregate statistics, a confidentialisation process called perturbation has been applied to the data. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released. Where data is not available or not for publication, the record has been set to a null value.

7 year history of information detailed in Funds SA's Annual Report

This dataset presents aggregated values of the Total Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Statistical Area Level 2 (SA2) boundaries. This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release: Employee Income Own Unincorporated Business Income Investment Income Superannuation Income Other Income (Income not allocatable to any other categories) Total Income (Sum of previous categories) These statistics provide insights into the nature of regional economies and the economic well-being of the people who live there. The data has been sourced from the Australian Taxation Office (ATO) and is presented with the updated 2016 editions of the Australian Statistical Geography Standards (ASGS): Statistical Area Level 2 (SA2); Statistical Area Level 3 (SA3); Statistical Area Level 4 (SA4); Greater Capital City Statistical Area (GCCSA) and Local Government Area (LGA). For more information on the release please visit the Australian Bureau of Statistics. Please note: When interpreting these results, it should be noted that some low income earners, for example those receiving Government pensions and allowances, or those who earned below the tax free threshold, may not be present in the data, as they may not be required to lodge personal tax forms. Other individuals may not lodge a tax return even if required, therefore care should be taken in interpreting the data as well as comparing the data in this publication with other income data produced by the ABS. To minimise the risk of identifying individuals in aggregate statistics, a confidentialisation process called perturbation has been applied to the data. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released. Where data is not available or not for publication, the record has been set to a null value.