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.
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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.
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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 Title | NSW Administrative Boundaries Theme - ABS Statistical Areas Level 4 |
Content Type | Hosted Feature Layer |
Description | Australian 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:
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 Date | 05/02/2020 |
Data Currency | 01/01/3000 |
Data Update Frequency | Other |
Content Source | API |
File Type | Map 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 Datasets | NSW Administrative Boundaries Theme of the Foundation Spatial Data Framework (FSDF) |
Accuracy | The 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 To | GDA94 |
Spatial Extent | Full State |
Content Lineage | For additional information, please contact us via the Spatial Services Customer Hub<br |
Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
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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.
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License information was derived automatically
Key information about Australia Household Debt
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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.
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License information was derived automatically
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.
Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
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.
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.
Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
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.
Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
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.
Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
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.
Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 Title | NSW Administrative Boundaries Theme - ABS Regional Boundaries Local Government Area |
Content Type | Hosted Feature Layer |
Description | Australian 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:
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 Date | 05/02/2020 |
Data Currency | 01/01/3000 |
Data Update Frequency | Other |
Content Source | API |
File Type | Map 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 Datasets | NSW Administrative Boundaries Theme of the Foundation Spatial Data Framework (FSDF) |
Accuracy | The 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 To | GDA94 |
Spatial Extent | Full State |
Content Lineage | For additional |
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?
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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
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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.
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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.
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
Metadata
Type | Hosted Feature Layer |
Update Frequency | Infrequently |
Contact Details | Rural Distribution Section data.governance@health.gov.au |
Relationship to Themes and Datasets | |
Accuracy | http://www.ga.gov.au/place-names/PlaceDetails.jsp?submit1=GA1 |
Standards and Specifications | http://www.ga.gov.au/place-names/PlaceDetails.jsp?submit1=GA1 |
Aggregators | Department of Health |
Distributors | Department of Health |
Dataset Producers and Contributors | Department of Health |
Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
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.
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.
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.