This statistic displays the average number of people per household in Australia from 1911 to 2011. According to the source, the average household consisted of *** individuals in Australia in 1991.

Australia Average Number of Dependent Children in Household: Multiple Family data was reported at 1.200 Person in 2020. This records a decrease from the previous number of 1.400 Person for 2018. Australia Average Number of Dependent Children in Household: Multiple Family data is updated yearly, averaging 1.300 Person from Jun 2004 (Median) to 2020, with 9 observations. The data reached an all-time high of 1.500 Person in 2016 and a record low of 1.200 Person in 2020. Australia Average Number of Dependent Children in Household: Multiple Family 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.H039: Survey of Income and Housing: Average Number of Dependent Children in Household: by Family Composition.

During the fiscal year 2022, approximately 0.33 megaliters of water were consumed per household in the Northern Territory, the highest per household consumption in Australia. In the same year, households in Victoria consumed around 0.16 megaliters of water on average. 

Household spend on water services

The expenditure on water per kiloliter in Australia remained fairly stable between 2015 and 2022. The household expenditure on distributed water and wastewater services was relatively evenly split. While per household consumption was highest in the Northern Territory, the overall household expenditure on water services was the greatest in New South Wales, likely due to the size of its population.

Sources and usage

The leading water source in Australia is surface water, followed by groundwater, with just a small portion sourced from desalination plants. Water is a limited resource in most of Australia, due to its dry climate and the fact that the largest part of the country is desert or semi-arid. While household consumption of water is an important consideration, when looking at the distribution of water usage in Australia, the majority is used by the agriculture industry.

SA1 based data for Selected Medians and Averages, in General Community Profile (GCP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, a family’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom and household size. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census.

LGA based data for Selected Medians and Averages, in General Community Profile (GCP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, a family’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom and household size. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census.

LGA based data for Selected Medians and Averages, in Place of Enumeration Profile (PEP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s …Show full descriptionLGA based data for Selected Medians and Averages, in Place of Enumeration Profile (PEP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, a family’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom and household size. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2017): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

Key information about Australia Monthly Earnings

• Australia Monthly Earnings stood at 4,026 USD in Nov 2024, compared with the previous figure of 3,903 USD in May 2024
• Australia Monthly Earnings data is updated semiannually, available from May 2012 to Nov 2024, with an average number of 3,740 USD
• The data reached the an all-time high of 4,560 USD in May 2013 and a record low of 3,344 USD in Nov 2015

CEIC calculates Monthly Earnings from Average Weekly Earnings multiplied by 4 and converts it into USD. The Australian Bureau of Statistics provides Average Weekly Earnings in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Monthly Earnings are in biannual frequency, ending in May and November of each year.


Further information about Australia Monthly Earnings

• In the latest reports, Australia Population reached 27 million people in Dec 2023
• Unemployment Rate of Australia increased to 4 % in Jan 2025
• The country's Labour Force Participation Rate dropped to 67 % in Jan 2025

In 2017, Australia had the largest homes out of the countries surveyed. Australian homes measured, on average, ***** square feet, and were closely followed by U.S. homes at ***** square feet. Canadian homes were also quite large at ***** square feet.

Australian Housing Prices

Location, Size, Price, Etc

By Jeff [source]

About this dataset

This dataset contains information on 1000 properties in Australia, including location, size, price, and other details

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How to use the dataset

If you're looking for a dataset on Australian housing data, this is a great option. This dataset contains information on over 1000 properties in Australia, including location, size, price, and other details. With this data, you can answer questions like What is the average price of a home in Australia?, What are the most popular type of homes in Australia?, and more

Research Ideas

• This dataset can be used to predict hosing prices in Australia.
• This dataset can be used to find relationships between housing prices and location.
• This dataset can be used to find relationships between housing prices and features such as size, number of bedrooms, and number of bathrooms

Acknowledgements

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

License

See the dataset description for more information.

Columns

File: RealEstateAU_1000_Samples.csv | Column name | Description | |:--------------------|:---------------------------------------------------------------------------------------| | breadcrumb | A breadcrumb is a text trail that shows the user's location within a website. (String) | | category_name | The name of the category that the listing belongs to. (String) | | property_type | The type of property being listed. (String) | | building_size | The size of the property's building, in square meters. (Numeric) | | land_size | The size of the property's land, in square meters. (Numeric) | | preferred_size | The preferred size of the property, in square meters. (Numeric) | | open_date | The date that the property was first listed for sale. (Date) | | listing_agency | The agency that is listing the property. (String) | | price | The listing price of the property. (Numeric) | | location_number | The number that corresponds to the property's location. (Numeric) | | location_type | The type of location that the property is in. (String) | | location_name | The name of the location that the property is in. (String) | | address | The property's address. (String) | | address_1 | The first line of the property's address. (String) | | city | The city that the property is located in. (String) | | state | The state that the property is located in. (String) | | zip_code | The zip code that the property is located in. (String) | | phone | The listing agent's phone number. (String) | | latitude | The property's latitude. (Numeric) | | longitude | The property's longitude. (Numeric) | | product_depth | The depth of the product. (Numeric) | | bedroom_count | The number of bedrooms in the property. (Numeric) | | bathroom_count | The number of bathrooms in the property. (Numeric) | | parking_count | The number of parking spaces in the property. (Numeric) | | RunDate | The date that the listing was last updated. (Date) |

Acknowledgements

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

SA2 based data for Selected Medians and Averages, for 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom, household size and proportion of dwellings in need of one or more extra bedrooms. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census. Copyright …Show full descriptionSA2 based data for Selected Medians and Averages, for 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom, household size and proportion of dwellings in need of one or more extra bedrooms. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2017): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

Key information about Australia Debt Service Ratio: Households

• Australia Debt Service Ratio: Households was reported at 16.500 % in Mar 2025
• This records a decrease from the previous number of 16.700 % for Dec 2024
• Australia Debt Service Ratio: Households data is updated quarterly, averaging 16.700 % from Mar 1999 to Mar 2025, with 105 observations
• The data reached an all-time high of 18.200 % in Jun 2008 and a record low of 10.000 % in Mar 1999
• Australia Debt Service Ratio: Households data remains active status in CEIC and is reported by Bank for International Settlements
• The data is categorized under World Trend Plus’s Association: Banking Sector – Table RC.BIS.DSR: G2 Households (HH) and Non-Profit Institution Serving Households (NPISHs): Quarterly

Comprehensive dataset of Australian property market metrics including average home loan sizes, borrowing capacity calculations by income level, historical cash rate impact on borrowing capacity, state-level property prices, growth rates, and affordability ratios. Data sourced from Australian Bureau of Statistics (ABS), APRA, and RBA.

SA3 based data for Selected Medians and Averages, in General Community Profile (GCP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, a family’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom and household size. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census.

SA3 based data for Selected Medians and Averages, in Place of Enumeration Profile (PEP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s …Show full descriptionSA3 based data for Selected Medians and Averages, in Place of Enumeration Profile (PEP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, a family’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom and household size. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2017): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

GCCSA based data for Selected Medians and Averages, in Place of Enumeration Profile (PEP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s …Show full descriptionGCCSA based data for Selected Medians and Averages, in Place of Enumeration Profile (PEP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, a family’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom and household size. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2017): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

SA1 based data for Selected Medians and Averages, in Place of Enumeration Profile (PEP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, a family’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom and household size. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census.

GCCSA based data for Selected Medians and Averages, for 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, total household income, …Show full descriptionGCCSA based data for Selected Medians and Averages, for 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom, household size and proportion of dwellings in need of one or more extra bedrooms. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2017): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

In 2022, the average Australian household spent a total of *** Australian dollars on rent and other dwelling services per week. This was more than double the average household weekly food expenditure of *** Australian dollars. Recreation and culture weekly expenditure amounted to just over the average food expenditure with an average of *** Australian dollars per week.

SA4 based data for Selected Medians and Averages, in General Community Profile (GCP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, a family’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom and household size. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census.

SA4 based data for Selected Medians and Averages, for 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, total household income, …Show full descriptionSA4 based data for Selected Medians and Averages, for 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom, household size and proportion of dwellings in need of one or more extra bedrooms. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2017): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)