Australia Household Income: Gross Disposable Income data was reported at 421,840.000 AUD mn in Dec 2024. This records a decrease from the previous number of 435,293.000 AUD mn for Sep 2024. Australia Household Income: Gross Disposable Income data is updated quarterly, averaging 72,770.500 AUD mn from Sep 1959 (Median) to Dec 2024, with 262 observations. The data reached an all-time high of 435,293.000 AUD mn in Sep 2024 and a record low of 2,931.000 AUD mn in Jun 1960. Australia Household Income: Gross Disposable Income 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.A287: SNA08: Household Saving Ratio and Household Income.

Australia Monthly Economic Indicators (2005-2024) Overview This dataset provides comprehensive monthly economic indicators for Australia spanning from January 2005 to December 2024. It includes key metrics such as Gross Domestic Product (GDP), Household Final Consumption Expenditure, and the Gini Index. Additionally, the dataset contains calculated indicators like the GDP Growth Rate and Household Consumption as a Percentage of GDP, providing valuable insights into the economic trends and income distribution over two decades.

Dataset Contents Date: The time period for each observation, recorded on a monthly basis. GDP: The Gross Domestic Product, representing the total market value of all final goods and services produced in Australia. Household_Final_Consumption_Expenditure: Total expenditure by households on goods and services, indicating consumer spending trends. Gini_Index: A measure of income inequality, with values ranging from 0 to 100, where 0 indicates perfect equality and 100 indicates perfect inequality. GDP_Growth_Rate: The month-over-month percentage growth rate of GDP. Household_Consumption_Percentage_of_GDP: The ratio of household final consumption expenditure to GDP, expressed as a percentage. File Format The dataset is provided in a CSV file format, making it easy to load and analyze using various data analysis tools and programming languages.

CSV File: australia_monthly_sample_dataset.csv Columns: Date: YYYY-MM-DD format (Monthly frequency from January 2005 to December 2024) GDP: Numeric (representing the GDP in local currency units) Household_Final_Consumption_Expenditure: Numeric (representing household consumption expenditure in local currency units) Gini_Index: Numeric (values ranging from 30 to 35, decreasing over time) GDP_Growth_Rate: Numeric (percentage change in GDP from the previous month) Household_Consumption_Percentage_of_GDP: Numeric (percentage of GDP spent on household consumption) Example Rows Date GDP Household_Final_Consumption_Expenditure Gini_Index GDP_Growth_Rate Household_Consumption_Percentage_of_GDP 2005-01-01 1002000.00 602150.00 35.00 NaN 60.10 2005-02-01 1004200.35 604730.21 34.98 0.22 60.23 2005-03-01 1006800.80 606590.74 34.95 0.26 60.24 Usage This dataset is ideal for researchers, economists, data scientists, and policy analysts interested in:

Analyzing economic growth trends in Australia. Studying the relationship between GDP growth and household consumption patterns. Investigating income inequality and its changes over time. Building predictive models for economic indicators. Conducting time-series analysis and forecasting.

This dataset presents information from G33 – Total household income (weekly) by household composition in Australia based on the general community profile from the 2021 Census. It contains characteristics of persons, families, and dwellings by Local Government Areas (LGA), 2021, from the Australian Statistical Geography Standard (ASGS) Edition 3.

This dataset is part of a set of web services based on the 2021 Census. It can be used as a tool for researching, planning, and analysis. The data is based on place of usual residence (that is, where people usually live, rather than where they were counted on Census night), unless otherwise stated.

Small random adjustments have been made to all cell values to protect the confidentiality of respondents. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For further information see the 2021 Census Privacy Statement, Confidentiality, and Introduced random error/perturbation.

Made possible by the Digital Atlas of Australia The Digital Atlas of Australia is an Australian Government initiative being led by Geoscience Australia. It will bring together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas.

Contact the Australian Bureau of Statistics (ABS) If you have questions, feedback or would like to receive updates about this web service, please email geography@abs.gov.au. For information about how the ABS manages any personal information you provide view the ABS privacy policy.

Data and geography references Source data publication: G33 – Total household income (weekly) by household composition Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: About the Census, 2021 Census product release guide – Community Profiles, Understanding Census geography Source: Australian Bureau of Statistics (ABS)

Salaries and Job Postings by Company in Australia

Uncovering Industry Trends and Analyzing Companies’ Salary Structures

By PromptCloud [source]

About this dataset

This dataset from JobsPikr offers an invaluable insight into the Australian job market. With over 30,000 job postings from SEEK Australia, it contains extensive information such as job categories, cities and states of postings, companies looking to hire and their respective salaries offered, dates when they were posted and descriptions of what these jobs include.

Analyzing this data can help us identify the top paying companies in Australia, visualize locations with highest job opening count and more such insights. We can also draw definitive conclusions on salary distribution by state or specializations that are better suited to different areas. This dataset thus serves as an amazing source for those curious about Australia’s ever-changing employment landscape

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How to use the dataset

How to Use This Dataset

This dataset contains over 30,000 job postings from SEEK Australia, giving comprehensive information about the roles, salaries and locations within the field. The dataset includes columns such as category, company name, job title and job description all of which can be used to gain insights into how much different roles pay in various regions and industries.

Here are some ways you could use this dataset:

Analyze salary distributions: Explore which states have higher paying jobs or use the provided categories (such as Accounting) to investigate differences in salary across company types.

Uncover trends in specific areas or industries: Look for changes in hiring trends over time or analyze areas with higher than average advertised salaries for particular positions.

Benchmark roles against competitors: Compare posted salaries for similar positions across companies to get an idea of what your organization should be offering when recruiting for a particular role or level of experience.

Assess employee mobility by region or sector: Identify popular markets among certain job seekers by exploring migration between different cities/states alond with any career shifts earyrly on in an individual's career journey,.

By understanding these patterns you can develop insights that may impact business decisions ranging from budget management to talent acquisition strategies!

Research Ideas

• Analyzing salary differences between different states in Australia to see which ones offer the highest salaries for various job types.
• Finding out which cities have the most job opportunities and researching what kind of jobs they are offering.
• Identifying which companies are paying the highest salary and investigating what kinds of jobs they tend to hire for and where the company is located

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original.

Columns

File: seek_australia.csv | Column name | Description | |:--------------------|:------------------------------------------------------------| | category | The category of the job posting. (String) | | city | The city in which the job is located. (String) | | company_name | The name of the company offering the job. (String) | | geo | The geographic coordinates of the job location. (String) | | job_board | The job board on which the job was posted. (String) | | job_description | The description of the job. (String) | | job_title | The title of the job. (String) | | job_type | The type of job (e.g. full-time, part-time, etc.). (String) | | post_date | The date on which...

This information was complied from the Australian Bureau of Statistics in Partial fullfilment of Coursework for the Master of Data Science taught at UNSW

Household income and wealth Australia, Building Activity Australia, Affordable Housing Database, National and Regional House Price Indices, Population Projections, Lending Indicators

Household income and wealth Australia ->https://www.abs.gov.au/statistics/economy/finance/household-income-and-wealth-australia/latest-release, Affordable Housing Database ->http://www.oecd.org/social/affordable-housing-database.htm, National and Regional House Price Indices ->https://stats.oecd.org/Index.aspx?DataSetCode=RHPI_TARGET, Population Projections ->https://stats.oecd.org/Index.aspx?DataSetCode=POPPROJ, Lending Indicators ->https://www.abs.gov.au/statistics/economy/finance/lending-indicators/apr-2021

Disposable Personal Income in Australia increased to 427893 AUD Million in the second quarter of 2025 from 425287 AUD Million in the first quarter of 2025. This dataset provides - Australia Disposable Personal Income - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Australia Household Income: Trend: Gross Disposable Income data was reported at 310,021.000 AUD mn in Mar 2019. This records an increase from the previous number of 307,715.000 AUD mn for Dec 2018. Australia Household Income: Trend: Gross Disposable Income data is updated quarterly, averaging 62,425.000 AUD mn from Sep 1959 (Median) to Mar 2019, with 239 observations. The data reached an all-time high of 310,021.000 AUD mn in Mar 2019 and a record low of 3,087.000 AUD mn in Sep 1959. Australia Household Income: Trend: Gross Disposable Income 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.A288: SNA08: Household Saving Ratio and Household Income: Trend.

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. This table contains data relating to annual household income. Counts are of all classifiable households, excludes those dwellings which were temporarily unoccupied at the time of the census but the collector had ascertained that it was normally occupied, or the household contained only persons under 15 years of age. Counts are based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly. This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au. For more information please refer to the 1991 Census Dictionary. Please note: (b) Comprises households where at least one, but not all, member(s) aged 15 years or more did not state an incomeand/or at least one spouse, offspring, or co-tenant was temporarily absent.

This dataset presents data on income (including Government allowances) available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 3 (SA3) 2016 boundaries. The dataset includes information in the following specified areas of income: Estimates of Personal Income, Gross Capital Gains, Selected Government Pensions and Allowances, Total Personal Income (Weekly) and Equivalised Total Household Income.

Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.

For more information please visit the Explanatory Notes.

AURIN has made the following changes to the original data:

• Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA3 2016 dataset.

• Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.

• Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.

• Columns and rows that did not contain any values in the original data have been removed.

The Household, Income and Labour Dynamics in Australia (HILDA) Survey is a nationally representative longitudinal study of Australian households which commenced in 2001. Funded by the Australian Government Department of Social Services (DSS), the HILDA Survey is managed by the Melbourne Institute of Applied Economic and Social Research at the University of Melbourne. The HILDA Survey provides longitudinal data on the lives of Australian residents. Its primary objective is to support research questions falling within three broad and inter-related areas of income, labour market and family dynamics. The HILDA Survey is a household-based panel study of Australian households and, as such, it interviews all household members (15 years and over) of the selected households and then re-interviews the same people in subsequent years. This dataset is the 21st release of the HILDA data, incorporating data collected from 2001 through 2021 (Waves 1-21). The special topic module in Wave 21 is health, and includes questions on health care utilisation, physical and mental health, diet, lifestyle, quantity and quality of sleep, and children’s health. Please note that this release of the HILDA Restricted Release is now superseded, and is available by email request only to ada@ada.edu.au. For the current release, please visit https://ada.edu.au/hilda_rr_current

This dataset presents information from G33 – Total household income (weekly) by household composition in Australia based on the general community profile from the 2021 Census. It contains characteristics of persons, families, and dwellings by Statistical Areas Level 2 (SA2), 2021, from the Australian Statistical Geography Standard (ASGS) Edition 3.

This dataset is part of a set of web services based on the 2021 Census. It can be used as a tool for researching, planning, and analysis. The data is based on place of usual residence (that is, where people usually live, rather than where they were counted on Census night), unless otherwise stated.

Small random adjustments have been made to all cell values to protect the confidentiality of respondents. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For further information see the 2021 Census Privacy Statement, Confidentiality, and Introduced random error/perturbation.

Made possible by the Digital Atlas of Australia The Digital Atlas of Australia is an Australian Government initiative being led by Geoscience Australia. It will bring together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas.

Contact the Australian Bureau of Statistics (ABS) If you have questions, feedback or would like to receive updates about this web service, please email geography@abs.gov.au. For information about how the ABS manages any personal information you provide view the ABS privacy policy.

Data and geography references Source data publication: G33 – Total household income (weekly) by household composition Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: About the Census, 2021 Census product release guide – Community Profiles, Understanding Census geography Source: Australian Bureau of Statistics (ABS)

This dataset presents information about total income distribution. The data covers the financial year of 2017-2018, and is based on Statistical Area Level 3 (SA3) according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

Total Income is the sum of all reported income derived from Employee income, Own unincorporated business, Superannuation, Investments and Other income. Total income does not include the non-lodger population.

Government pensions, benefits or allowances are excluded from the Australian Bureau of Statistics (ABS) income data and do not appear in Other income or Total income. Pension recipients can fall below the income threshold that necessitates them lodging a tax return, or they may only receive tax free pensions or allowances. Hence they will be missing from the personal income tax data set. Recent estimates from the ABS Survey of Income and Housing (which records Government pensions and allowances) suggest that this component can account for between 9% to 11% of Total income.

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 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 data on income (including Government allowances) available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 2 (SA2) 2016 boundaries. The dataset includes information in the following specified areas of income: Estimates of Personal Income, Gross Capital Gains, Selected Government Pensions and Allowances, Total Personal Income (Weekly) and Equivalised Total Household Income.

Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.

For more information please visit the Explanatory Notes.

AURIN has made the following changes to the original data:

• Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA2 2016 dataset.

• Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.

• Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.

• Columns and rows that did not contain any values in the original data have been removed.

The HILDA survey is a household-based panel study. The study regularly surveys all working-age members (over 15 years) of selected Australian households over the duration of the study. In Wave one, the study collected data from 13,969 individuals representing 7,682 households. The wave 11 data collection added a sample top-up of 2,153 households (5,462 individuals). HILDA's in scope population tends to increase as new participants join households and children in existing households come of age to join the study. As of March 2024, there have been 21 waves of data collection.

This dataset presents data on income (including Government allowances) available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Greater Capital City Statistical Area (GCCSA) 2016 boundaries. The dataset includes information in the following specified areas of income: Estimates of Personal Income, Gross Capital Gains, Selected Government Pensions and Allowances, Total Personal Income (Weekly) and Equivalised Total Household Income.

Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.

For more information please visit the Explanatory Notes.

AURIN has made the following changes to the original data:

• Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) GCCSA 2016 dataset.

• Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.

• Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.

• Columns and rows that did not contain any values in the original data have been removed.

Australia Standardised Price-Income Ratio: sa data was reported at 149.268 Ratio in Dec 2024. This records a decrease from the previous number of 152.371 Ratio for Sep 2024. Australia Standardised Price-Income Ratio: sa data is updated quarterly, averaging 82.643 Ratio from Mar 1970 (Median) to Dec 2024, with 220 observations. The data reached an all-time high of 153.422 Ratio in Jun 2024 and a record low of 62.554 Ratio in Sep 1983. Australia Standardised Price-Income Ratio: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Australia – Table AU.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Quarterly. Nominal house prices divided by nominal disposable income per head. Net household disposable income is used. The population data come from the OECD national accounts database. The long-term average is calculated over the whole period available when the indicator begins after 1980 or after 1980 if the indicator is longer. This value is used as a reference value. The ratio is calculated by dividing the indicator source on this long-term average, and indexed to a reference value equal to 100.

The Household, Income and Labour Dynamics in Australia (HILDA) Survey is a nationally representative longitudinal study of Australian households which commenced in 2001. Funded by the Australian Government Department of Social Services (DSS), the HILDA Survey is managed by the Melbourne Institute of Applied Economic and Social Research at the University of Melbourne. The HILDA Survey provides longitudinal data on the lives of Australian residents. Its primary objective is to support research questions falling within three broad and inter-related areas of income, labour market and family dynamics. The HILDA Survey is a household-based panel study of Australian households and, as such, it interviews all household members (15 years and over) of the selected households and then re-interviews the same people in subsequent years. This dataset is the 20th release of the HILDA data, incorporating data collected from 2001 through 2020 (Waves 1-20). The special topic module in Wave 20 is education, skills and abilities (excluding the cognitive ability tests). There are also new questions, including the impact of COVID-19, digital platform work, financial well-being, food insecurity, and resilience/self-reliance. Please note that this release of the HILDA General Release is now superseded and is available by request for approved training courses only. For the current release, please visit https://ada.edu.au/hilda_gr_current

This dataset presents information about employee income by age and sex. The data covers the financial years 2011-12 to 2017-18, and is based on Statistical Area Level 3 (SA3) according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

Employee income is the total (or gross) income received as a return to labour from an employer or from a person's own incorporated business (when they are employed by this business). The data used in deriving employee income comes from both Individual Tax Returns (ITR) and payment summaries (where an individual has not lodged an ITR).

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.

Longitudinal household panel survey. Annual interviews collect information about economic and subjective well-being, labour market dynamics and family dynamics

The HILDA Survey is conducted by the Melbourne Institute of Applied Economic and Social Research at the University of Melbourne on behalf of the Department of Social Services, with data collection conducted by Roy Morgan Research.

For further information visit this page on the Department of Social Services website

The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. This table contains data relating to annual household income by household type. Counts are of family, group and lone person households, based on place of enumeration on census night which excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly. This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au. For more information please refer to the 1991 Census Dictionary. Please note: (a) Comprises households where at least one, but not all, member(s) aged 15 years or more did not state an income and /or at least one spouse, offspring, or co-tenant was temporarily absent.