This dataset presents information about investment income. The data covers the financial years 2011-12 to 2017-18, and is based on Statistical Area Level 4 (SA4) according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).
Investment income includes the following data items on the Individual Tax Returns (ITR):
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Gross interest
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Dividends unfranked amount
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Dividends franked amount
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Dividends franking credit
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Share of net income from trusts less net capital gains and foreign income non primary production
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Franked distributions from trusts - non-primary production
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Australian franking credits from a New Zealand company
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Net foreign rent
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Net rent
All monetary values are presented as gross pre-tax dollars, as far as possible. This means they reflect income before deductions and loses, and before any taxation or levies (e.g. the Medicare levy or the temporary budget repair levy) are applied. The amounts shown are nominal, they have not been adjusted for inflation. The income presented in this release has been categorised into income types, these categories have been devised by the Australian Bureau of Statistics (ABS) to closely align to ABS definitions of income.
The statistics in this release are compiled from the Linked Employer Employee Dataset (LEED), a cross-sectional database based on administrative data from the Australian taxation system. The LEED includes more than 120 million tax records over seven consecutive years between 2011-12 and 2017-18.
Please note:
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All personal income tax statistics included in LEED were provided in de-identified form with no home address or date of birth. Addresses were coded to the ASGS and date of birth was converted to an age at 30 June of the reference year prior to data provision.
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To minimise the risk of identifying individuals in aggregate statistics, perturbation has been applied to the statistics in this release. 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. These adjustments have a negligible impact on the underlying pattern of the statistics. Some cells have also been suppressed due to low counts.
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Totals may not align with the sum of their components due to missing or unpublished information in the underlying data and perturbation.
For further information please visit the Australian Bureau of Statistics.
AURIN has made the following changes to the original data: