31 datasets found
  1. Average size of households in Australia 1911-2011

    • statista.com
    Updated Oct 19, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2015). Average size of households in Australia 1911-2011 [Dataset]. https://www.statista.com/statistics/611523/australia-household-size/
    Explore at:
    Dataset updated
    Oct 19, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1911 - 2011
    Area covered
    Australia
    Description

    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.

  2. A

    Australia Average Number of Dependent Children in Household: Multiple Family...

    • ceicdata.com
    Updated Sep 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2024). Australia Average Number of Dependent Children in Household: Multiple Family [Dataset]. https://www.ceicdata.com/en/australia/survey-of-income-and-housing-average-number-of-dependent-children-in-household-by-family-composition/average-number-of-dependent-children-in-household-multiple-family
    Explore at:
    Dataset updated
    Sep 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2004 - Jun 1, 2020
    Area covered
    Australia
    Variables measured
    Household Income and Expenditure Survey
    Description

    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.

  3. D

    NSW Administrative Boundaries Theme - ABS Statistical Areas Level 4

    • data.nsw.gov.au
    arcgis rest service
    Updated Aug 11, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Spatial Services (DCS) (2025). NSW Administrative Boundaries Theme - ABS Statistical Areas Level 4 [Dataset]. https://data.nsw.gov.au/data/dataset/1-bb9af5c8b12745c78b14b2d5a44b8c43
    Explore at:
    arcgis rest serviceAvailable download formats
    Dataset updated
    Aug 11, 2025
    Dataset provided by
    Spatial Services (DCS)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New South Wales
    Description

    Export Data Access API

    NSW Administrative Boundaries Theme - ABS Statistical Areas Level 4

    Please Note

    WGS 84 = GDA94 service


    This dataset has a spatial reference of [WGS 84 = GDA94] and can NOT be easily consumed into GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS84 = GDA2020 environments. In due course, and allowing time for user feedback and testing, it is intended that these original services will adopt the new multiCRS functionality.

    Metadata Portal Metadata Information

    Content TitleNSW Administrative Boundaries Theme - ABS Statistical Areas Level 4
    Content TypeHosted Feature Layer
    DescriptionAustralian Bureau of Statistics (ABS) Statistical Geographical Standard Boundaries SA 4 divides an area of interest throughout the state of NSW on which statistics are collected for purposes under the Census and Statistics Act 1905 (Cth).

    The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the Australian Bureau of Statistics (ABS) and many other organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with a coherent set of standard regions so that they can access, visualise, analyse and understand statistics.

    The 2016 ASGS will be used for the 2016 Census of Population and Housing and progressively introduced into other ABS data collections. The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data.

    The ABS Structures are a hierarchy of regions developed for the release of ABS statistical information. The main components are as follows:
    • Statistical Areas Level 1
    • Statistical Areas Level 2
    • Statistical Areas Level 3
    • Statistical Areas Level 4
    • Regional Boundaries (Local Government Area, Suburb)
    The Australian Bureau of Statistics Geographical Standard Boundaries - Statistical Areas are used to define geographical areas to support statistical and socio-economic analysis at a state and regional scale. They are useful for analytical purposes within statistical boundaries through the aggregation of a wide swath of data and information.

    The ABS maintains the Australian Statistical Geography Standard (ASGS) and the Australian Standard Geographical Classification (ASGC) for pre-2011 census information.

    In addition to the NSW Administrative Boundaries Theme Australian Bureau of Statistics also provides this data via a web service direct from ABS.

    Further standards, specifications and classifications can be found at:
    Australian Bureau of Statistics Standards
    Australian Bureau of Statistics Classifications

    The regions defined in the ABS Structures will not change until the next Census in 2021. The Non-ABS Structures are updated only when the ABS considers that there are major changes to the administrative boundaries they represent.
    Initial Publication Date05/02/2020
    Data Currency01/01/3000
    Data Update FrequencyOther
    Content SourceAPI
    File TypeMap Feature Service
    Attribution© State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW). For current information go to spatial.nsw.gov.au
    Data Theme, Classification or Relationship to other DatasetsNSW Administrative Boundaries Theme of the Foundation Spatial Data Framework (FSDF)
    AccuracyThe dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. This dataset was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at map scale for 90% of the well-defined points. That is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:100000 = 50m. A program to upgrade the spatial location and accuracy of data is ongoing.
    Spatial Reference System (dataset)GDA94
    Spatial Reference System (web service)EPSG:3857
    WGS84 Equivalent ToGDA94
    Spatial ExtentFull State
    Content LineageFor additional information, please contact us via the Spatial Services Customer Hub<br

  4. r

    SA2-P02 Selected Medians and Averages-Census 2016

    • researchdata.edu.au
    null
    Updated Jun 28, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). SA2-P02 Selected Medians and Averages-Census 2016 [Dataset]. https://researchdata.edu.au/sa2-p02-selected-census-2016/2752548
    Explore at:
    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Bureau of Statistics
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    SA2 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 SA2 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census.

  5. A

    Australia Household Debt

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Australia Household Debt [Dataset]. https://www.ceicdata.com/en/indicator/australia/household-debt
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2021 - Sep 1, 2024
    Area covered
    Australia
    Description

    Key information about Australia Household Debt

    • Australia Household Debt reached 2,206.9 USD bn in Sep 2024, compared with the reported number of 2,108.4 USD bn in the previous quarter
    • Australia Household Debt: USD mn data is updated quarterly, available from Jun 1988 to Sep 2024
    • The data reached an all-time high of 2,206.9 USD bn in Sep 2024 and a record low of 114.4 USD bn in Jun 1988

    CEIC converts quarterly Household Debt into USD. The Australian Bureau of Statistics provides Household Debt in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions.


    Further information about Australia Household Debt

    • In the latest reports, Australia Household Debt accounted for 116.6 % of the country's Nominal GDP in Mar 2023
    • Money Supply M2 in Australia increased 2,036.7 USD bn YoY in Oct 2024
    • Australia Foreign Exchange Reserves was measured at 39.3 USD bn in Nov 2024
    • The Foreign Exchange Reserves equaled 1.5 Months of Import in May 2023
    • Australia Domestic Credit reached 3,928.5 USD bn in Sep 2024, representing an drop of 1.1 % YoY

  6. r

    LGA-P02 Selected Medians and Averages-Census 2016

    • researchdata.edu.au
    • data.gov.au
    null
    Updated Jun 28, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). LGA-P02 Selected Medians and Averages-Census 2016 [Dataset]. https://researchdata.edu.au/lga-p02-selected-census-2016/2740710
    Explore at:
    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Bureau of Statistics
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    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 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.

  7. r

    LGA-G02 Selected Medians and Averages-Census 2016

    • researchdata.edu.au
    null
    Updated Jun 28, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). LGA-G02 Selected Medians and Averages-Census 2016 [Dataset]. https://researchdata.edu.au/lga-g02-selected-census-2016/2740752
    Explore at:
    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Bureau of Statistics
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    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.

  8. r

    SA3-P02 Selected Medians and Averages-Census 2016

    • researchdata.edu.au
    • data.gov.au
    null
    Updated Jun 28, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). SA3-P02 Selected Medians and Averages-Census 2016 [Dataset]. https://researchdata.edu.au/sa3-p02-selected-census-2016/2752077
    Explore at:
    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Bureau of Statistics
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    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 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.

  9. Consumption of water per household Australia FY 2022, by state

    • statista.com
    Updated Jan 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Consumption of water per household Australia FY 2022, by state [Dataset]. https://www.statista.com/statistics/974898/australia-water-consumption-per-household-by-state/
    Explore at:
    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    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.

  10. r

    SA1-G02 Selected Medians and Averages-Census 2016

    • researchdata.edu.au
    • data.gov.au
    null
    Updated Jun 28, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). SA1-G02 Selected Medians and Averages-Census 2016 [Dataset]. https://researchdata.edu.au/sa1-g02-selected-census-2016/2751375
    Explore at:
    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Bureau of Statistics
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    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.

  11. r

    GCCSA-G02 Selected Medians and Averages-Census 2016

    • researchdata.edu.au
    • data.gov.au
    null
    Updated Jun 28, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). GCCSA-G02 Selected Medians and Averages-Census 2016 [Dataset]. https://researchdata.edu.au/gccsa-g02-selected-census-2016/2740386
    Explore at:
    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Bureau of Statistics
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    GCCSA 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 GCCSA 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census.

  12. r

    SA3-G02 Selected Medians and Averages-Census 2016

    • researchdata.edu.au
    null
    Updated Jun 28, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). SA3-G02 Selected Medians and Averages-Census 2016 [Dataset]. https://researchdata.edu.au/sa3-g02-selected-census-2016/2741268
    Explore at:
    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Bureau of Statistics
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    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.

  13. r

    GCCSA-P02 Selected Medians and Averages-Census 2016

    • researchdata.edu.au
    • data.gov.au
    null
    Updated Jun 28, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). GCCSA-P02 Selected Medians and Averages-Census 2016 [Dataset]. https://researchdata.edu.au/gccsa-p02-selected-census-2016/2739744
    Explore at:
    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Bureau of Statistics
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    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 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.

  14. D

    NSW Administrative Boundaries Theme - ABS Regional Boundaries Local...

    • data.nsw.gov.au
    • data.gov.au
    arcgis rest service
    Updated Aug 21, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Spatial Services (DCS) (2025). NSW Administrative Boundaries Theme - ABS Regional Boundaries Local Government Area [Dataset]. https://data.nsw.gov.au/data/dataset/1-5c16aa3bdf944b6d81e04f423696c158
    Explore at:
    arcgis rest serviceAvailable download formats
    Dataset updated
    Aug 21, 2025
    Dataset provided by
    Spatial Services (DCS)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New South Wales
    Description

    Export Data Access API


    NSW Administrative Boundaries Theme – Australian Bureau of Statistics Regional Boundaries – Local Government Area

    Please Note

    WGS 84 service aligned to GDA94
    This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments.

    In due course, and allowing time for user feedback and testing, it is intended that the original service name will adopt the new multiCRS functionality

    Metadata Portal Metadata Information

    Content TitleNSW Administrative Boundaries Theme - ABS Regional Boundaries Local Government Area
    Content TypeHosted Feature Layer
    DescriptionAustralian Bureau of Statistics (ABS) Statistical Geographical Standard Boundaries Suburb divides an area of interest throughout the state of NSW on which statistics are collected for purposes under the Census and Statistics Act 1905 (Cth).

    The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the Australian Bureau of Statistics (ABS) and many other organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with a coherent set of standard regions so that they can access, visualise, analyse and understand statistics.

    The 2016 ASGS will be used for the 2016 Census of Population and Housing and progressively introduced into other ABS data collections. The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data.

    The ABS Structures are a hierarchy of regions developed for the release of ABS statistical information. The main components are as follows:
    • Statistical Areas Level 1
    • Statistical Areas Level 2
    • Statistical Areas Level 3
    • Statistical Areas Level 4
    • Regional Boundaries (Local Government Area, Suburb)
    The Australian Bureau of Statistics Geographical Standard Boundaries - Statistical Areas are used to define geographical areas to support statistical and socio-economic analysis at a state and regional scale. They are useful for analytical purposes within statistical boundaries through the aggregation of a wide swath of data and information.

    The ABS maintains the Australian Statistical Geography Standard (ASGS) and the Australian Standard Geographical Classification (ASGC) for pre-2011 census information.

    In addition to the NSW Administrative Boundaries Theme Australian Bureau of Statistics also provides this data via a web service direct from ABS.

    Further standards, specifications and classifications can be found at:
    Australian Bureau of Statistics Standards
    Australian Bureau of Statistics Classifications

    The regions defined in the ABS Structures will not change until the next Census in 2021. The Non-ABS Structures are updated only when the ABS considers that there are major changes to the administrative boundaries they represent.
    Initial Publication Date05/02/2020
    Data Currency01/01/3000
    Data Update FrequencyOther
    Content SourceAPI
    File TypeMap Feature Service
    Attribution© State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW). For current information go to spatial.nsw.gov.au.
    Data Theme, Classification or Relationship to other DatasetsNSW Administrative Boundaries Theme of the Foundation Spatial Data Framework (FSDF)
    AccuracyThe dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. This dataset was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at map scale for 90% of the well-defined points. That is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:100000 = 50m. A program to upgrade the spatial location and accuracy of data is ongoing.
    Spatial Reference System (dataset)GDA94
    Spatial Reference System (web service)EPSG:3857
    WGS84 Equivalent ToGDA94
    Spatial ExtentFull State
    Content LineageFor additional

  15. Family Entertainment Center Market Analysis, Size, and Forecast 2025-2029:...

    • technavio.com
    pdf
    Updated Mar 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Technavio (2025). Family Entertainment Center Market Analysis, Size, and Forecast 2025-2029: North America (Mexico), Europe (France, Germany, Italy, and UK), Middle East and Africa (UAE), APAC (Australia, China, India, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/family-entertainment-center-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Mar 13, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2025 - 2029
    Area covered
    Mexico, Germany, United Kingdom
    Description

    Snapshot img

    Family Entertainment Center Market Size 2025-2029

    The family entertainment center market size is forecast to increase by USD 31.88 billion at a CAGR of 13.2% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing integration of Advanced Electronic Interactive (AEI) technology and the rising adoption of Virtual Reality (VR) in games. This technological advancement offers immersive experiences for customers, setting a new standard in family entertainment. However, this market is not without challenges. High maintenance costs pose a significant obstacle, requiring substantial investments in technology upgrades and ongoing maintenance to stay competitive. These costs can be a deterrent for smaller players in the market and may limit their ability to offer the latest AI innovations to customers.
    Companies seeking to capitalize on market opportunities must carefully weigh the benefits of investing in technology against the financial implications of maintaining it. Navigating these challenges effectively will be crucial for success in the market.
    

    What will be the Size of the Family Entertainment Center Market during the forecast period?

    Request Free Sample

    The market continues to evolve, with customer experience and brand building at the forefront of market dynamics. Data analytics plays a crucial role in understanding customer demographics and operational costs, enabling targeted marketing campaigns and effective loyalty programs. Arcade games, go-kart racing, and laser tag remain popular attractions, catering to various age groups and disposable income levels. Group outings and birthday celebrations are key revenue generators, with escape rooms and immersive entertainment offering unique experiences. Augmented reality and virtual reality experiences are emerging technologies transforming the industry, while trampoline parks and mini golf provide opportunities for recreational facilities to diversify their offerings.
    Point-of-sale systems and online booking systems streamline operations, enhancing operational efficiency and customer service. Reputation management is essential in today's digital age, with customer reviews and social media engagement shaping public perception. Safety protocols and risk management are critical components of facility management, ensuring a safe and enjoyable experience for guests. Staff training and technology integration are vital for delivering exceptional guest relations and interactive experiences. Family dynamics continue to influence the market, with party packages and corporate events catering to various family sizes and group outings. Digital marketing and mobile app development are essential tools for reaching customers and generating revenue.
    Seasonal promotions and community engagement strategies help maintain a strong online presence and attract new customers. In the ever-changing landscape of the market, operational efficiency, customer service, and continuous innovation are key to staying competitive.
    

    How is this Family Entertainment Center Industry segmented?

    The family entertainment center industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Application
    
      Arcade studios
      Physical play activities
      Skill/competition games
      AR and VR gaming zones
    
    
    Capacity
    
      10001 to 20000 sq. ft.
      More than 40000 sq. ft.
      5001 to 10000 sq. ft.
      20001 to 40000 sq. ft.
      Up to 5000 sq. ft.
    
    
    Age Group
    
      Teenagers (12-18)
      Families with children (0-9)
      Families with children (9-12)
      Adults (24 and above)
      Young adults (18-24)
    
    
    Revenue Stream
    
      Entry fees and ticket sales
      Food and beverages
      Merchandising
      Advertisement
    
    
    End-User
    
      Families
      Teenagers
      Adults
    
    
    Geography
    
      North America
    
        US
        Mexico
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      Middle East and Africa
    
        UAE
    
    
      APAC
    
        Australia
        China
        India
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Application Insights

    The arcade studios segment is estimated to witness significant growth during the forecast period.

    In the market, customer experience is a top priority, with brands continually seeking innovative ways to engage and delight their audiences. Data analytics plays a crucial role in understanding customer demographics and preferences, enabling targeted marketing campaigns and operational efficiency. Arcade games, go-kart racing, laser tag, and escape rooms are popular attractions, catering to various age groups and disposable income levels. Loyalty programs, group outings, and birthday celebrations foster repeat business and community engagement. Augmented reality, trampoline parks, and virtual reality exp

  16. r

    SA4-G02 Selected Medians and Averages-Census 2016

    • researchdata.edu.au
    null
    Updated Jun 28, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). SA4-G02 Selected Medians and Averages-Census 2016 [Dataset]. https://researchdata.edu.au/sa4-g02-selected-census-2016/2740938
    Explore at:
    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Bureau of Statistics
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    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.

  17. v

    Australia Contraceptive Device Market Size By Technology (Intrauterine...

    • verifiedmarketresearch.com
    Updated Feb 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    VERIFIED MARKET RESEARCH (2025). Australia Contraceptive Device Market Size By Technology (Intrauterine Devices, Contraceptive Implants, Male Contraceptive Devices), By Application (Female Contraceptive, Male Contraceptive Devices), By End-User (Healthcare Providers, Pharmacies), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/australia-contraceptive-device-market/
    Explore at:
    Dataset updated
    Feb 19, 2025
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Australia
    Description

    Australia Contraceptive Device Market size was valued at USD 450 Million in 2023 and is projected to reach USD 800 Million by 2031 growing at a CAGR of 7.5% from 2024 to 2031.

    Key Market Drivers:

    Increasing Women's Health Awareness and Reproductive Rights: According to the Australian Institute of Health and Welfare (AIHW) indicates a considerable rise in reproductive health awareness among Australian women. According to the Department of Health and Aged Care, roughly 72% of women aged 18 to 49 actively use some kind of contraception. The National Women's Health Strategy 2020-2030 calls for a 25% increase in comprehensive sexual health education and access to contraception options. According to the Australian Bureau of Statistics, women are making more informed family planning decisions, with long-acting reversible contraception (LARC) adoption increasing by 33% between 2018 and 2022.

  18. D

    Modified Monash Model (MMM) 2019

    • data.nsw.gov.au
    • researchdata.edu.au
    arcgis rest service
    Updated Jul 20, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Spatial Services (DCS) (2025). Modified Monash Model (MMM) 2019 [Dataset]. https://www.data.nsw.gov.au/data/dataset/1-771d105d81cf4f45b2cc5b8b0a6ab262
    Explore at:
    arcgis rest serviceAvailable download formats
    Dataset updated
    Jul 20, 2025
    Dataset provided by
    Spatial Services (DCS)
    Description

    Export Data Access API

    In 2015, the Department of Health introduced the Modified Monash Model (MMM) classification system as it better targets health workforce programs by categorising metropolitan, regional, rural and remote areas according to both geographical remoteness, as defined by the Australian Bureau of Statistics, and town size. The MMM 2019 was updated on 1 July 2019 to use the latest available Australian Bureau of Statistics (2016) Census data and geography information. Health programs will begin transitioning to the new MMM from 1 January 2020. The 2019 MMM uses the following data sets: • Australian Statistical Geography Standard 2016 Statistical Area 1; and Urban Centres and Localities as the geographic bases; • Australian Statistical Geography Standard – Remoteness Area 2016 as the ABS remoteness classification (based on Accessibility and Remoteness Index of Australia (ARIA+); • Estimated Resident Population 2016; and • Public Sector Mapping Agency 2018 Australian road network.

    https://data.gov.au/data/dataset/modified-monash-model-mmm-2019

    http://health.gov.au/

    Metadata

    TypeHosted Feature Layer
    Update FrequencyInfrequently
    Contact DetailsRural Distribution Section
    data.governance@health.gov.au
    Relationship to Themes and Datasets
    Accuracyhttp://www.ga.gov.au/place-names/PlaceDetails.jsp?submit1=GA1
    Standards and Specificationshttp://www.ga.gov.au/place-names/PlaceDetails.jsp?submit1=GA1
    AggregatorsDepartment of Health
    DistributorsDepartment of Health
    Dataset Producers and ContributorsDepartment of Health

  19. r

    SA1-P02 Selected Medians and Averages-Census 2016

    • researchdata.edu.au
    null
    Updated Jun 28, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). SA1-P02 Selected Medians and Averages-Census 2016 [Dataset]. https://researchdata.edu.au/sa1-p02-selected-census-2016/2740572
    Explore at:
    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Bureau of Statistics
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Description

    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.

  20. Weekly household expenditure Australia 2022, by expenditure type

    • statista.com
    Updated Jul 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Weekly household expenditure Australia 2022, by expenditure type [Dataset]. https://www.statista.com/statistics/1263771/australia-weekly-average-household-spending-breakdown/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Australia
    Description

    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.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2015). Average size of households in Australia 1911-2011 [Dataset]. https://www.statista.com/statistics/611523/australia-household-size/
Organization logo

Average size of households in Australia 1911-2011

Explore at:
Dataset updated
Oct 19, 2015
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
1911 - 2011
Area covered
Australia
Description

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.

Search
Clear search
Close search
Google apps
Main menu