Australia Household: Net Worth data was reported at 16,951.800 AUD bn in Dec 2024. This records an increase from the previous number of 16,808.100 AUD bn for Sep 2024. Australia Household: Net Worth data is updated quarterly, averaging 5,222.650 AUD bn from Sep 1988 (Median) to Dec 2024, with 146 observations. The data reached an all-time high of 16,951.800 AUD bn in Dec 2024 and a record low of 1,204.100 AUD bn in Sep 1988. Australia Household: Net Worth data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.AB045: SNA08: SESCA08: Balance Sheet: Households.

A multi-millionaire is defined as someone owning ** million U.S. dollars or more. It was forecasted that there would be almost ** thousand individuals in Australia defined as multi-millionaires by 2026. This is in line with the country’s growing economy over the years as well as the growing wealth inequality that was becoming a cause for concern in the island nation.

Distribution of the wealthy

As a rich country with plenty of natural resources and a high Human Development Index, Australia had always had a large number of high net-worth individuals or HNWIs. There were over *** thousand millionaires including a couple dozen of billionaires, with these figures expected to grow significantly over the next few years.

Income inequality

Despite the increase of wealth and economic growth, there was a concern at the level of poverty and homelessness due to the rising wealth inequality nationally. The number of homeless people living in Australia had only been increasing with more than a hundred thousand people currently without shelter. Furthermore, most of the wealth was being pushed from the country to the cities, affecting the livelihood of those living in the countryside or outback.

Australia Household Net Worth: 2013-14p: Mean: Non Family: Lone Person data was reported at 536,800.000 AUD in 2014. Australia Household Net Worth: 2013-14p: Mean: Non Family: Lone Person data is updated yearly, averaging 536,800.000 AUD from Jun 2014 (Median) to 2014, with 1 observations. The data reached an all-time high of 536,800.000 AUD in 2014 and a record low of 536,800.000 AUD in 2014. Australia Household Net Worth: 2013-14p: Mean: Non Family: Lone Person data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H032: Survey of Income and Housing: Household Net Worth: by Family Composition.

Between 2016 and 2021, Sydney was home to the largest number of ultra-high-net-worth individuals (UHNWIs) in Australia, and is expected to maintain this status until at least 2026. An UHNWI is defined as an individual with net investable assets worth at least ** million U.S. dollars. The number of UHNWIs living in Australia is above the global average.

Australia Household Net Worth: 2011-12p: Mean: One Family: Couple with Dependent Children data was reported at 833,022.000 AUD in 2012. This records an increase from the previous number of 826,804.000 AUD for 2010. Australia Household Net Worth: 2011-12p: Mean: One Family: Couple with Dependent Children data is updated yearly, averaging 747,056.500 AUD from Jun 2004 (Median) to 2012, with 4 observations. The data reached an all-time high of 833,022.000 AUD in 2012 and a record low of 517,074.000 AUD in 2004. Australia Household Net Worth: 2011-12p: Mean: One Family: Couple with Dependent Children data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H032: Survey of Income and Housing: Household Net Worth: by Family Composition.

** percent of Australians were in the wealth range between 100,000 and *********** U.S. dollars in 2020. Just *** percent of Australian adults had wealth of over *********** U.S. dollars, which was slightly less than the share of people who had under 10,000 U.S. dollars in wealth.

Wealth distribution in the Asia-Pacific

In 2020, China had the highest number of millionaires, followed by Japan and Australia. The number of millionaires in Australia was forecasted to increase from *** million to ************* by 2025. According to a source, among the Asia-Pacific countries, Australia ranked second in the share of wealth per adult. The source had revealed the wealth per adult in Australia was more than *** thousand U.S. dollars in 2020.

LGBTQ community of Australia

In 2020, a survey of working adults in Australia revealed that LGBTQ adults were employed in public services and the law enforcement across the country. On the one hand, more than ** percent of LGBTQ individuals had a role as as a team member, above ** percent of respondents answered that they were either team leader or supervisor.

Australia Household Net Worth: 2017-18p: Mean data was reported at 1,022,200.000 AUD in 2018. Australia Household Net Worth: 2017-18p: Mean data is updated yearly, averaging 1,022,200.000 AUD from Jun 2018 (Median) to 2018, with 1 observations. Australia Household Net Worth: 2017-18p: Mean data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H017: Survey of Income and Housing: Household Net Worth: by Family Composition.

Household Net Worth: 2019-20p: Mean: Non Family: Group Households data was reported at 334,200.000 AUD in 2020. Household Net Worth: 2019-20p: Mean: Non Family: Group Households data is updated yearly, averaging 334,200.000 AUD from Jun 2020 (Median) to 2020, with 1 observations. The data reached an all-time high of 334,200.000 AUD in 2020 and a record low of 334,200.000 AUD in 2020. Household Net Worth: 2019-20p: Mean: Non Family: Group Households data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H032: Survey of Income and Housing: Household Net Worth: by Family Composition.

Australia had over ** thousand ultra-high-net-worth individuals (UHNWI) in 2021, more than double the number of UHNWIs reported five years earlier in 2016. This number was estimated to rise to over ** thousand individuals by 2026 in the country.

According to a survey conducted among over *** private bankers, wealth advisors, and family office representatives of ultra-high-net-worth individuals (UHNWI) worldwide, almost ** percent of UHNWIs in Australasia expected to see a marginal (less than *** percent) increase in their wealth in 2023. Close to one-fifth of UHNWIs in the region expected a significant increase (above *** percent) in their wealth in the same year.

Household Net Worth: 2015-16p: Mean: Non Family: Lone Person data was reported at 552,700.000 AUD in 2016. Household Net Worth: 2015-16p: Mean: Non Family: Lone Person data is updated yearly, averaging 552,700.000 AUD from Jun 2016 (Median) to 2016, with 1 observations. The data reached an all-time high of 552,700.000 AUD in 2016 and a record low of 552,700.000 AUD in 2016. Household Net Worth: 2015-16p: Mean: Non Family: Lone Person data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H032: Survey of Income and Housing: Household Net Worth: by Family Composition.

AbstractTaxation Statistics 2021-22 is a continental dataset providing an overview of the income and tax status of Australian individuals, companies, partnerships, trusts and funds for the 2021-22 financial year.The dataset was compiled for the annual publication, Taxation Statistics, the ATO’s key statistical report. It provides a comprehensive statistical summary of information taxpayers report to the ATO. It includes information sourced from:The income tax returns of individuals, companies, super funds, partnerships and trusts.Annual returns for fringe benefits tax (FBT) and goods and services tax (GST).Business activity statements (BAS) and instalment activity statements (IAS).Schedules for rental properties, capital gains tax (CGT) and international dealings.Superannuation member contribution statements (MCS).Other information reported to the ATO in relation to excise, the pay as you go (PAYG) system, and charitable institutions.Previous versions of this dataset are available on the Australian Government open government data portal data.gov.auCurrencyDate Published: 25 September 2023Date Updated: 13 September 2024Modification Frequency: As neededData ExtentSpatial ExtentNorth: -9.1°South: -43.6°East: 159.1°West: 96.8°Source InformationData and Metadata are available from Taxation Statistics 2021-22 | Datasets | data.gov.au, Taxation Statistics 2021-22 - Dataset - data.gov.au.The data was obtained from the Australian Taxation Office.Catalog Entry: Taxation Statistics 2021-22 | Datasets | data.gov.auLineage statementThis layer was put together using two datasets. Australian taxation and income data provided by the Australian Taxation Office (ATO), was joined to the 2021 Postal Areas shapefile provided by the Australian Bureau of Statistics (ABS).Postal AreasPostal Areas are an ABS Mesh Block approximation of a general definition of postcodes. They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries and should only be used for statistical purposes.Data and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS) Edition 3Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 - Postal AreasFurther information: Australian Statistical Geography Standard (ASGS) Edition 3 - Non ABS StructuresSource: Australian Bureau of Statistics (ABS)Data PreparationThe CSV was joined to the POA geographies using the 4 digit postcode. For the CSV, it was exported as a file geodatabase and a new field had to be generated where the postcodes were entered as text data to maintain the leading zeroes. The new text postcode field was then joined to the ABS POA_Name field.All data manipulations, joins, and spatial operations were performed using ArcGIS Pro 3.4.3.Data dictionaryAttribute nameDescriptionPostcodesThe postcode affiliated with that areaAREA_SQKMThe area in square kilometres of the postcodeAverage taxable income or lossThe average taxable income or loss of the postcodeNumber of individuals lodging an income tax returnThe number of individuals lodging a tax return in that postcodeCount taxable income or lossThe number of individuals reporting taxable income or loss in the postcodeMedian taxable income or lossThe median taxable income or loss of the postcodeProportion with salary or wagesThe proportion of individuals reporting salary or wages in the postcodeCount salary or wagesThe number of individuals reporting salary or wages in the postcodeAverage salary or wagesThe average salary or wages of the postcodeMedian salary or wagesThe median salary or wages of the postcodeProportion with net rentThe proportion of individuals reporting net rent in the postcodeCount net rentThe number of individuals reporting net rent in the postcodeAverage net rentThe average cost of net rent in the postcodeMedian net rentThe median net rent in the postcodeCount total income or lossThe number of individuals reporting total income or loss in the postcodeAverage total income or lossThe average total income or loss of the postcodeMedian total income or lossThe median total income or loss of the postcodeCount total deductionsCount of individuals reporting total deductions in the postcodeAverage total deductionsThe average total deductions of the postcodeMedian total deductionsThe median total deductions of the postcodeProportion with total business incomeThe proportion of individuals reporting business income in the postcodeCount total business incomeThe number of individuals reporting business income in the postcodeAverage total business incomeThe average total business income in the postcodeMedian total business incomeThe median total business income in the postcodeCount total business expensesThe number of individuals reporting business expenses in the postcodeAverage total business expensesThe average business expenses in the postcodeMedian total business expensesThe median business expenses in the postcodeProportion with net taxThe proportion of individuals with net tax in the postcodeCount net taxThe number of individuals with net tax in the postcodeAverage net taxThe average net tax in the postcodeMedian net taxThe median net tax in the postcodeCount super total accounts balanceThe total number of super accounts in the postcodeAverage super total accounts balanceThe average balance of super accounts in the postcodeMedian super total accounts balanceThe median balance of super accounts in the postcodeProportion with total business expensesThe proportion of individuals reporting business expenses in the postcodeSHAPE_LengthLength of polygon outlineSHAPE_AreaArea of the polygonContactAustralian Taxation Office, taxstats@ato.gov.au

In March 2003, banks and selected Registered Financial Corporations (RFCs) began reporting their international assets, liabilities and country exposures to APRA in ARF/RRF 231 International Exposures. This return is the basis of the data provided by Australia to the Bank for International Settlements (BIS) for its International Banking Statistics (IBS) data collection. APRA ceased the RFC data collection after September 2010.

The IBS data are based on the methodology described in the BIS Guide on International Financial Statistics (see http://www.bis.org/statistics/intfinstatsguide.pdf; Part II International banking statistics). Data reported for Australia, and other countries, on the BIS website are expressed in United States dollars (USD).

Data are recorded on an end-quarter basis.

All banks operating in Australia complete ARF 231. Between March 2003 and September 2010, only those larger RFCs with sizeable overseas assets and/or liabilities completed RRF 231. Bank and RFC positions are reported in Australian dollars (AUD). Non-AUD denominated positions have been converted to AUD using an appropriate end-quarter exchange rate, so changes in reported data between quarters are due not only to changes in positions but also valuation gains or losses due to exchange rate changes.

There are two sets of IBS data: locational data, which are used to gauge the role of banks and financial centres in the intermediation of international capital flows; and consolidated data, which can be used to monitor the country risk exposure of national banking systems. Only locational data are reported in this statistical table.

Some liabilities are reported at market value, but contractual or nominal values are used where market values are not appropriate.

The locational data presented in this statistical table may differ from the balance sheet data reported by banks (and RFCs between March 2003 and September 2010) in their ARF/RRF 320.0 Statement of Financial Position return to APRA (and published in statistical tables B2, B3, B9 and B10). ARF/RRF 231 asks for gross positions to be reported (including on-balance sheet derivatives). However, in ARF/RRF 320.0, derivative positions can be reported on a net asset or net liability basis. This difference is particularly relevant in the case of foreign currency derivative positions with residents in Australia (included in other assets and other liabilities in the locational data).

Data are shown for a selected group of countries that account for the bulk of the total. Similar data for other countries are also available in statistical table B12.2.1.

The positions by country are summed to produce a ‘Total non-residents’ figure that represents reporting entities’ total positions with offshore counterparties in all currencies. The positions shown for Australia are positions with residents in foreign currency.

‘Deposits’ comprise all claims reflecting evidence of deposit – including non-negotiable certificates of deposit – that are not represented by negotiable securities. Thus, loans and deposits include interbank borrowings, loans and inter-office balances, foreign trade-related credits, international loans received and granted, and deposits received and made on a trust basis.

Sale and repurchase transactions (repos) involving the sale of assets (e.g. securities and gold) with a commitment to repurchase the same or similar assets, financial leases, promissory notes, non-negotiable debt securities, endorsement liabilities arising from bills rediscounted abroad and subordinated loans (including subordinated non-negotiable debt securities) are also included as ‘Deposits’.

‘Debt securities issued’ are all negotiable short- and long-term debt instruments (including subordinated issues and issues in an entity’s own name but on behalf of third parties). The classification as international debt securities issued is determined by the place and currency of issue rather than the residence of the issuer as in the case of reporting entities’ holdings of debt securities. This criterion is used due to the difficulty of determining the residence of the current holder of a negotiable instrument.

‘Other liabilities’ include on-balance sheet derivative contracts and working capital received by local branches from their head offices abroad. Accrued interest and items in the course of collection are also included in other assets and liabilities.

This dataset presents information about investment income. The data covers the financial years 2011-12 to 2017-18, and is based on Greater Capital City Statistical Areas (GCCSA) 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):

• Gross interest

• Dividends unfranked amount

• Dividends franked amount

• Dividends franking credit

• Share of net income from trusts less net capital gains and foreign income non primary production

• Franked distributions from trusts - non-primary production

• Australian franking credits from a New Zealand company

• Net foreign rent

• 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:

• 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.

• 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.

• 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:

• Spatially enabled the original data.

• Set 'np' (not published to protect the confidentiality of individuals or businesses) values to Null.

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 2 (SA2) 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):

• Gross interest

• Dividends unfranked amount

• Dividends franked amount

• Dividends franking credit

• Share of net income from trusts less net capital gains and foreign income non primary production

• Franked distributions from trusts - non-primary production

• Australian franking credits from a New Zealand company

• Net foreign rent

• 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:

• 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.

• 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.

• 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:

• Spatially enabled the original data.

• Set 'np' (not published to protect the confidentiality of individuals or businesses) values to Null.

Australia State & Local: General Government: Net Worth data was reported at 1,288,635.000 AUD mn in 2018. This records an increase from the previous number of 1,230,543.000 AUD mn for 2017. Australia State & Local: General Government: Net Worth data is updated yearly, averaging 1,008,330.500 AUD mn from Jun 2009 (Median) to 2018, with 10 observations. The data reached an all-time high of 1,288,635.000 AUD mn in 2018 and a record low of 878,192.000 AUD mn in 2009. Australia State & Local: General Government: Net Worth data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.F049: AGFS2015: State and Local Government: Balance Sheet: General Government.

This dataset presents information about investment income. The data covers the financial years 2011-12 to 2017-18, and is based on Local Government Areas (LGA) according to the 2018 edition of the Australian Statistical Geography Standard (ASGS).

Investment income includes the following data items on the Individual Tax Returns (ITR):

• Gross interest

• Dividends unfranked amount

• Dividends franked amount

• Dividends franking credit

• Share of net income from trusts less net capital gains and foreign income non primary production

• Franked distributions from trusts - non-primary production

• Australian franking credits from a New Zealand company

• Net foreign rent

• 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:

• 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.

• 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.

• 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:

• Spatially enabled the original data.

• Set 'np' (not published to protect the confidentiality of individuals or businesses) values to Null.

In the financial year 2024, net assets of Telstra amounted to around ***** billion Australian dollars. In the previous year, the net assets amounted to around **** billion Australian dollars.

AbstractTaxation Statistics 2014-15 is a continental dataset providing an overview of the income and tax status of Australian individuals, companies, partnerships, trusts and funds for the 2014-15 financial year.The dataset was compiled for the annual publication, Taxation Statistics, the ATO’s key statistical report. It provides a comprehensive statistical summary of information taxpayers report to the ATO.The income tax returns of individuals, companies, super funds, partnerships and trusts.Annual returns for fringe benefits tax (FBT) and goods and services tax (GST).Business activity statements (BAS) and instalment activity statements (IAS).Schedules for rental properties, capital gains tax (CGT) and international dealings.Superannuation member contribution statements (MCS).Other information reported to the ATO in relation to excise, the pay as you go (PAYG) system, and charitable institutions.Previous versions of this dataset are available on the Australian Government open government data portal data.gov.auCurrencyDate Published: 28 March 2017Date Updated: 12 June 2024Modification Frequency: As neededData ExtentGeocentric Datum of Australia 1994 (GDA94)Spatial ExtentNorth: -9.1°South: -43.6°East: 159.1°West: 96.8°Source InformationData and Metadata are available from Taxation Statistics 2014-15 - Dataset - data.gov.auThe data was obtained from the Australian Taxation Office.Catalog Entry: Taxation Statistics 2014-15 - Dataset - Data.gov.auLineage StatementThis layer was put together using two datasets. Australian taxation and income data provided by the Australian Taxation Office (ATO), was joined to the 2011 Postal Areas shapefile provided by the Australian Bureau of Statistics (ABS).Postal AreasPostal Areas (POA) are an ABS Mesh Block approximation of a general definition of postcodes. They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries exactly and should only be used for statistical purposes.Data and geography referencesSource data publication:Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011Further information: Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011 – Explanatory NotesSource: Australian Bureau of Statistics (ABS)Data PreparationThe CSV was joined to the POA geographies using the 4 digit postcode. For the CSV, it was exported as a file geodatabase and a new field assigned where postcodes were entered as text data to maintain the leading zeroes. The new text postcode field was then joined to the ABS POA_Name field.All data manipulations, joins, and spatial operations were performed using ArcGIS Pro 3.4.3.Data dictionaryAttribute nameDescriptionAREA_SQKMThe area in square kilometres of the postcodeCount taxable income or lossThe number of individuals reporting taxable income or loss in the postcodeAverage taxable income or lossThe average taxable income or loss of the postcodeMedian taxable income or lossThe median taxable income or loss of the postcodeCount of salary or wagesThe number of individuals reporting salary or wages in the postcodeAverage salary and wagesThe average salary or wages of the postcodeMedian salary and wagesThe median salary or wages of the postcodeCount net rentThe number of individuals reporting net rent in the postcodeAverage net rentThe average net rent in the postcodeMedian net rentThe median net rent in the postcodeCount total income or lossThe number of individuals reporting total income or loss in the postcodeAverage total income or lossThe average total income or loss of the postcodeMedian total income or lossThe median total income or loss of the postcodeCount total deductionsCount of individuals reporting total deductions in the postcodeAverage total deductionsThe average total deductions of the postcodeMedian total deductionsThe median total deductions of the postcodeCount total business incomeThe number of individuals reporting business income in the postcodeAverage total business incomeThe average total business income in the postcodeMedian total business incomeThe median total business income in the postcodeCount total business expensesThe number of individuals reporting business expenses in the postcodeAverage total business expensesThe average business expenses in the postcodeMedian total business expensesThe median business expenses in the postcodeCount net taxThe number of individuals with net tax in the postcodeAverage net taxThe average net tax in the postcodeMedian net taxThe median net tax in the postcodeCount super total accounts balanceThe total number of super accounts in the postcodeAverage super total accounts balanceThe average balance of super accounts in the postcodeMedian super total accounts balanceThe median balance of super accounts in the postcodePostcodesThe postcode affiliated with that areaSHAPE_LengthLength of polygon outlineSHAPE_AreaArea of the polygon.ContactAustralian Taxation Office, taxstats@ato.gov.au

AbstractTaxation Statistics 2019-20 is a continental dataset providing an overview of the income and tax status of Australian individuals, companies, partnerships, trusts and funds for the 2019-20 financial year.The dataset was compiled for the annual publication, Taxation Statistics, the ATO’s key statistical report. It provides a comprehensive statistical summary of information taxpayers report to the ATO. It includes information sourced from:The income tax returns of individuals, companies, super funds, partnerships and trusts.Annual returns for fringe benefits tax (FBT) and goods and services tax (GST).Business activity statements (BAS) and instalment activity statements (IAS).Schedules for rental properties, capital gains tax (CGT) and international dealings.Superannuation member contribution statements (MCS).Other information reported to the ATO in relation to excise, the pay as you go (PAYG) system, and charitable institutions.Previous versions of this dataset are available on the Australian Government open government data portal data.gov.auCurrencyDate Published: 01 August 2022Date Updated: 13 September 2024Modification Frequency: As neededData ExtentGeocentric Datum of Australia 1994 (GDA94)Spatial ExtentNorth: -9.1°South: -43.6°East: 159.1°West: 96.8°Source InformationData and Metadata are available from Taxation Statistics 2019-20 - Dataset - data.gov.auThe data was obtained from the Australian Taxation Office.Catalog Entry: Taxation Statistics 2019-20 - Dataset - Data.gov.auLineage StatementThis layer was put together using two datasets. Australian taxation and income data provided by the Australian Taxation Office (ATO), was joined to the 2016 Postal Areas shapefile provided by the Australian Bureau of Statistics (ABS).Postal AreasPostal Areas (POA) are an ABS Mesh Block approximation of a general definition of postcodes. They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries exactly and should only be used for statistical purposesData and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS) Edition 2 - Postal AreasFurther information: Australian Statistical Geography Standard (ASGS) Edition 2 - Non ABS StructuresSource: Australian Bureau of Statistics (ABS)Data PreparationThe CSV was joined to the POA geographies using the 4 digit postcode. For the CSV, it was exported as a file geodatabase and a new field had to be generated where the postcodes were entered as text data to maintain the leading zeroes. The new text postcode field was then joined to the ABS attribute field POA_Name.All data manipulations, joins, and spatial operations were performed using ArcGIS Pro 3.4.3.Data dictionaryAttribute nameDescriptionPostcodesThe postcode affiliated with that areaAREA_SQKMThe area in square kilometres of the postcodeNumber of individuals lodging an income tax returnThe number of individuals lodging a tax return in that postcodeCount taxable income or lossThe number of individual reports of taxable income or loss in the postcodeAverage taxable income or lossThe average taxable income or loss of the postcodeMedian taxable income or lossThe median taxable income or loss of the postcodeProportion with salary or wagesThe proportion of individuals reporting salary or wage in the postcodeCount salary or wagesThe number of individuals reporting salary or wages in the postcodeAverage salary or wagesThe average salary or wages of the postcodeMedian salary or wagesThe median salary or wages of the postcodeProportion with net rentThe proportion of individuals reporting net rent in the postcodeCount net rentThe number of individuals reporting net rent in the postcodeAverage net rentThe average cost of net rent in the postcodeMedian net rentThe median net rent in the postcodeCount total income or lossThe number of individuals reporting total income or loss in the postcodeAverage total income or lossThe average total income or loss of the postcodeMedian total income or lossThe median total income or loss of the postcodeCount total deductionsCount of individuals reporting total deductions in the postcodeAverage total deductionsThe average total deductions of the postcodeMedian total deductionsThe median total deductions of the postcodeProportion with total business incomeThe proportion of individuals reporting business income in the postcodeCount total business incomeThe number of individuals reporting business income in the postcodeAverage total business incomeThe average total business income in the postcodeMedian total business incomeThe median total business income in the postcodeCount total business expensesThe number of individuals reporting business expenses in the postcodeAverage total business expensesThe average business expenses in the postcodeMedian total business expensesThe median business expenses in the postcodeProportion with net taxThe proportion of individuals with net tax in the postcodeCount net taxThe number of individuals with net tax in the postcodeAverage net taxThe average net tax in the postcodeMedian net taxThe median net tax in the postcodeCount super total accounts balanceThe total number of super accounts in the postcodeAverage super total accounts balanceThe average balance of super accounts in the postcodeMedian super total accounts balanceThe median balance of super accounts in the postcodeProportion with total business expensesThe proportion of individuals reporting business expenses in the postcodeSHAPE_LengthLength of polygon outlineSHAPE_AreaArea of the polygon.ContactAustralian Taxation Office, taxstats@ato.gov.au