In June 2022, it was estimated that around 7.3 percent of Australians were aged between 25 and 29, and the same applied to people aged between 30 and 34. All in all, about 55 percent of Australia’s population was aged 35 years or older as of June 2022. At the same time, the age distribution of the country also shows that the share of children under 14 years old was still higher than that of people over 65 years old. A breakdown of Australia’s population growth Australia is the sixth-largest country in the world, yet with a population of around 26 million inhabitants, it is only sparsely populated. Since the 1970s, the population growth of Australia has remained fairly constant. While there was a slight rise in the Australian death rate in 2022, the birth rate of the country decreased after a slight rise in the previous year. The fact that the birth rate is almost double the size of its death rate gives the country one of the highest natural population growth rates of any high-income country.
National distribution of the population Australia’s population is expected to surpass 28 million people by 2028. The majority of its inhabitants live in the major cities. The most populated states are New South Wales, Victoria, and Queensland. Together, they account for over 75 percent of the population in Australia.

Australia Average Number of Persons in Household: Multiple Family: Age: Under 18 Years data was reported at 1.100 Person in 2020. This records a decrease from the previous number of 1.200 Person for 2018. Australia Average Number of Persons in Household: Multiple Family: Age: Under 18 Years data is updated yearly, averaging 1.200 Person from Jun 2004 (Median) to 2020, with 9 observations. The data reached an all-time high of 1.400 Person in 2016 and a record low of 1.100 Person in 2020. Australia Average Number of Persons in Household: Multiple Family: Age: Under 18 Years 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.H037: Survey of Income and Housing: Average Number of Persons in Household: by Age.

According to a late-2024 survey conducted among Australian adults regarding the social media ban for under-16s passed by the Federal Parliament in December 2024, more than ** percent of adults in each age cohort were supportive of the ban. Those aged 55 and over were particularly in favor of the social media ban, at over ** percent of respondents in this age category. In comparison, respondents aged 18 to 34 years were relatively supportive, but less so than other age groups. Australia’s social media ban for under-16s In December 2024, Australia’s parliament passed its social media ban for children and young teenagers, establishing a mandatory minimum age of 16 for social media access, hoping to safeguard the country’s youth from exposure to distressing content, online harassment, and negative mental health impacts. The ban is set to take effect by December 2025, spanning many popular social networking sites, including Facebook, Instagram, TikTok, Snapchat, Reddit, and X (formerly Twitter). Australia’s adult population has been largely supportive of the regulations and the introduction of stronger civil penalties on social media providers failing to comply. However, several major social media platforms have criticized the measures, especially due to YouTube’s exemption, with its rivals saying it creates an unfair, less competitive playing field by granting Google preferential treatment. YouTube dodges ban while competitors required to roll out age-assurance measures In a 2024 survey, YouTube came out on top as the most popular social media network among Australia’s pre-teens and young teenagers. The platform has been initially exempted from the regulations due to aspects including its educational value, parental supervision functions, and its core business model as an online video streaming service. Nevertheless, YouTube is still expected to take responsibility for protecting its young community. On the other hand, major platforms included in the ban are faced with introducing age-verification measures to ensure that users under 16 are unable to create or maintain existing profiles. Yet, historically, minimum age requirements have proved difficult to enforce due to a lack of age-checking infrastructure and young people accessing services via other methods, including using a parent or caregiver’s account, providing a false age, or viewing account-free accessible content.

Since 1960, age distribution across Australia's population has observed a fairly significant change. The share of the population below 14 years has dropped from over 30 percent to less than 20 percent; while the share aged over 65 has almost doubled. However, Australia's under-14 population is still larger than its over-65 population. The bulk of the population is aged between 15 and 64 years, and this group had its largest share of the population in 2009 when it made up over two-thirds of the entire population. This gradual change has come as a result of decreasing fertility and higher life expectancy, causing the average age of the population to rise.

Average Number of Persons in Household: Non Family: Lone Person: Age: Under 18 Years data was reported at 0.000 Person in 2020. This stayed constant from the previous number of 0.000 Person for 2018. Average Number of Persons in Household: Non Family: Lone Person: Age: Under 18 Years data is updated yearly, averaging 0.000 Person from Jun 2006 (Median) to 2020, with 8 observations. The data reached an all-time high of 0.000 Person in 2020 and a record low of 0.000 Person in 2020. Average Number of Persons in Household: Non Family: Lone Person: Age: Under 18 Years 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.H037: Survey of Income and Housing: Average Number of Persons in Household: by Age.

The number of snapchat users in Australia was forecast to continuously increase between 2024 and 2028 by in total 0.3 million users (+4.02 percent). After the ninth consecutive increasing year, the snapchat user base is estimated to reach 7.74 million users and therefore a new peak in 2028. Notably, the number of snapchat users of was continuously increasing over the past years.The user numbers, depicted here regarding the platform Snapchat, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Australia Average Number of Persons in Household: One Family: One Parent with Dependent Children: Age: Under 18 Years data was reported at 1.600 Person in 2020. This stayed constant from the previous number of 1.600 Person for 2018. Australia Average Number of Persons in Household: One Family: One Parent with Dependent Children: Age: Under 18 Years data is updated yearly, averaging 1.600 Person from Jun 2001 (Median) to 2020, with 11 observations. The data reached an all-time high of 1.700 Person in 2010 and a record low of 1.500 Person in 2016. Australia Average Number of Persons in Household: One Family: One Parent with Dependent Children: Age: Under 18 Years 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.H037: Survey of Income and Housing: Average Number of Persons in Household: by Age.

In a survey conducted in Australia in 2021, over ** percent of young respondents aged 14 to 18 years reported that they had experienced masturbation. Male respondents were more likely than female respondents to report that they had experienced masturbation.

This dataset evaluates 'Ever-partnered women aged 18 years and over who experienced violence or emotional abuse by a partner they lived with'. Cells in this table have been randomly adjusted to avoid the release of confidential data. Discrepancies may occur between sums of the component items and totals. 'Physical violence' includes physical assault and/or physical threat. 'Total violence' includes physical violence and/or sexual violence. 'Total ever-partnered women' includes all women who have or had a partner since the age of 15. 'Has a disability or long-term health condition' refers to a person who was defined as having a disability or long-term health condition if they had one or more conditions which had lasted, or were likely to last, for six months or more, and that restricted every day activities. People were identified as having a profound or severe core-activity limitation if they required help or supervision for one or more core activities, such as self-care, mobility or communication. For further information refer to the Glossary. Further, a specific requirement of the PSS was that interviews were conducted in private. Where a respondent required the assistance of another person to communicate with the interviewer, proxy interviews were conducted for a limited amount of the survey and this data was not retained on the final weighted file. Therefore it is likely that the PSS will under represent those with a profound or severe disability. For more details regarding proxy interviews refer to the Proxy section of the Survey Development and Data Collection page of the Personal Safety Survey, Australia: User Guide, 2016 (cat. no. 4906.0.55.003). Approximately 33% of respondents who reported a profound/severe disability, were not included in the final sample due to proxy use, or opting out. 'Australia' includes external territories. 'Main English speaking countries' includes Canada, Republic of Ireland, New Zealand, South Africa, United Kingdom and United States of America. 'Other countries' are inadequately described.

Australia’s Disability Strategy Survey Wave 1 was conducted by the Australian National University Centre for Social Research and Methods in partnership with the Social Research Centre. It is an important national survey of Australians aged 18 years and over. It will help us understand: Community attitudes towards people with disability and how these are experienced by people with disability. The survey was commissioned by Australian Government to measure and track how community attitudes change over time as part of Australia’s Disability Strategy 2021-2031. The aim is to identify ways to make society more welcoming and inclusive for people with disability. Data access To apply for access to this dataset, first, all applicants and collaborators who need to view unit record data must complete and sign a once only Confidentiality Deed Poll and email the scanned, signed copy to adsdatareporting@health.gov.au and ADA (ada@ada.edu.au). Electronic signatures are acceptable. Then register an account or log in to apply for a specific dataset. To request access, click on the name of dataset you want from the list below, and then click on the "Request Access" button to start the online request form.

According to the National Health Survey conducted between January 2022 and April 2023 in Australia, nearly 40 percent of young Australians between the ages of 18 and 24 years had used an e-cigarette or vaping device. Less than two percent of respondents aged 65 or over had used an e-cigarette or vaping device.

In a survey conducted in Australia in 2021, close to ** percent of young respondents aged 14 to 18 years reported that they had been in a romantic relationship before. Females were more likely than males to report ever having been in a relationship.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Cave. The data include parameters of speleothems with a geographic location of Western Australia, Australia. The time period coverage is from 1516 to 291 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Objectives: To investigate how patients prefer to be addressed by healthcare providers and to assess their knowledge of their attending medical team's identity in an Australian Hospital. Setting: Single-centre, large tertiary hospital in Australia. Participants: 300 inpatients were included in the survey. Patients were selected in a sequential, systematic and whole-ward manner. Participants were excluded with significant cognitive impairment, non-English speaking, under the age of 18 years or were too acutely unwell to participate. The sample demographic was predominately an older population of Anglo-Saxon background. Primary and secondary outcome measures: Patients preferred mode of address from healthcare providers including first name, title and second name, abbreviated first name or another name. Whether patients disliked formal address of title and second name. Secondarily, patient knowledge of their attending medical team members name and role and if correct, what position within the medical hierarchy they held. Results: Over 99% of patients prefer informal address with greater than one-third having a preference to being called a name other than their legal first name. 57% of patients were unable to correctly name a single member of their attending medical team. Conclusions: These findings support patient preference of informal address; however, healthcare providers cannot assume that a documented legal first name is preferred by the patient. Patient knowledge of their attending medical team is poor and suggests current introduction practices are insufficient.

The 1991 Census Time Series Community profiles present key tables from the Basic and Expanded Community profiles where the data is comparable across the censuses for Local Government Areas (LGA) in Australia. These profiles are made up of 22 tables giving data for both persons and/or dwellings from the 1981, 1986 and 1991 censuses. This table contains data relating to family type(a)(b). Counts are of all families, 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: (a) Full comparability is not possible because the definition of dependent offspring has changed. In 1986 a 'dependent family child' was aged 0-14, or 15-20 years and a full-time student, whereas in the 1991 Census, 21-24 year old offspringstudying full-time are also defined as dependents. (b) Comparable 1981 Census data are not available. (c) 'Other family members' comprise 'other offspring' and/or 'other related individuals'. (d) In the 1986 Census sole parents with other offspring were considered as families of other related individuals only. (e) In the 1986 Census it is not possible to distinguish between 'Couples and other related individuals' and 'Two parent families with no dependent offspring' because non-dependent offspring aged 15 years or more were classified as 'Other relatedindividuals'.

Australia’s Disability Strategy Survey Wave 2 was conducted by the Australian National University's POLIS: The Centre for Social Policy Research, in partnership with the Social Research Centre (SRC) at ANU. It is an important national survey of Australians aged 18 years and over. It will help us understand: Community attitudes towards people with disability and how these are experienced by people with disability. The Survey was commissioned by the Australian Government to measure and track how community attitudes and perceptions about disability change over time as part of Australia’s Disability Strategy 2021-2031. Data access To apply for access to this dataset, first, all applicants and collaborators who need to view unit record data must complete and sign a Confidentiality Deed Poll and email the scanned, signed copy to adsdatareporting@health.gov.au and ADA (ada@ada.edu.au). Electronic signatures are acceptable. Then register an account or log in to apply for a specific dataset. To request access, click on the name of dataset you want from the list below, and then click on the "Request Access" button to start the online request form.

This dataset presents information about total income. The data covers the financial years 2011-12 to 2017-18, and is based on Statistical Area Level 2 (SA2) according to the 2016 edition of the Australian Statistical Geography Standard (ASGS). 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.

This dataset presents information about total income distribution. The data covers the financial year of 2017-2018, and is based on Statistical Area Level 2 (SA2) 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.

Background: Newborn bloodspot screening (NBS) programs have improved neonatal healthcare since the 1960s. Genomic sequencing now offers potential to generate polygenic risk score (PRS) that could be incorporated into NBS programs, shifting the focus from treatment to prevention of future noncommunicable disease (NCD). However, Australian parents’ knowledge and attitudes regarding PRS for NBS is currently unknown.Methods: Parents with at least one Australian-born child under 18 years were invited via social media platforms to complete an online questionnaire aimed at examining parents’ knowledge of NCDs, PRS, and precision medicine, their opinions on receiving PRS for their child, and considerations of early-intervention strategies to prevent the onset of disease.Results: Of 126 participants, 90.5% had heard the term “non-communicable disease or chronic condition,” but only 31.8% and 34.4% were aware of the terms “polygenic risk score” and “precision medicine” respectively. A large proportion of participants said they would consider screening their newborn to receive a PRS for allergies (77.9%), asthma (81.0%), cancer (64.8%), cardiovascular disease (65.7%), mental illness (56.7%), obesity (49.5%), and type 2 diabetes (66.7%). Additionally, participants would primarily consider diet and exercise as interventions for specific NCDs.Discussion: The results from this study will inform future policy for genomic NBS, including expected rate of uptake and interventions that parents would consider employing to prevent the onset of disease.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Paleoceanography. The data include parameters of paleoceanography with a geographic location of South Pacific Ocean. The time period coverage is from 36167 to 0 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.