This dataset contains estimates of the resident population and estimates of the components of population change as at 30 June for the years 2001-2019. The data is aggregated to 2016 Australian Statistical Geography Standard (ASGS) Statistical Area Level 2 (SA2).

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimated resident population is based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census.

This data is sourced from the Australian Bureau of Statistics (Catalogue Number: 3218.0).

For more information please visit the Explanatory Notes.

Notes:

• The estimates in this issue are final for 2001 to 2016, revised for 2017 and 2018, and preliminary for 2019.

  AURIN has ingested this dataset in its GeoPackage format.

This dataset presents the preliminary estimates of the resident population by age and sex as at 30 June 2019. The data is aggregated to Statistical Areas Level 2 (SA2), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

• AURIN has spatially enabled the data.

• Regions which contain unpublished data have been left blank in the dataset.

This dataset presents the preliminary estimates of the resident population by age and sex as at 30 June 2018. The data is aggregated to the 2018 edition of the Local Government Areas (LGA).

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

• AURIN has spatially enabled the data.

• Regions which contain unpublished data have been left blank in the dataset.

This collection contains aggregated Australian species occurrence data from 1900 to April 2022 using a suite of facets of most importance for environmental assessments. Occurrence records were aggregated and organised by the Atlas of Living Australia (ALA) and include survey and monitoring data collected and managed by the Integrated Marine Observing System (IMOS) and the Terrestrial Ecosystem Research Network (TERN). Data from these infrastructures and other sources have been organised here as a national public-access dataset. This collection serves as a standardised snapshot of Australian biodiversity occurrence data from which many indicator datasets can more readily be derived (see Has Derivation entries below).

The primary asset is aggregated_spp_occ.csv. This contains all faceted data records for the period and supported facets related to time, space, taxonomy and conservation significance. Six derived assets demonstrate uses supported by the faceted data. Each is a pivot of the aggregated dataset. The data_sources.csv file includes information on the source datasets within the Atlas of Living Australia that contributed to this asset.

Grouping records from this dataset supports comparisons between the number of occurrence records for different regions and/or time periods and/or categories of species and occurrence data. Grouped counts of this kind may serve as useful indications of variation and change across the dimensions compared. Note however that such counts may not accurately reflect real differences in biodiversity. It is important to consider confounding factors (particularly variations in recording effort over time). Grouping all records by a single facet (e.g. IBRA region) may help to expose such factors.

Notes

GRIIS 1.6 includes a number of vertebrate species listed because some individuals have been translocated or (re-)introduced beyond their remaining ranges for conservation purposes. It is unhelpful for the current analysis to treat these as introduced species. These species were removed from the version of the GRIIS list used in this analysis. In future versions of GRIIS, these species will be documented as native species that have been translocated/reintroduced. Lineage: All species occurrence data aggregated by the ALA as of 2022-04-14 were filtered to include only:

• Records from 1900 onwards • Presence records only • Spatial coordinates present • Taxon identified to at least species level • Location falls within an IBRA or IMCRA region

Filtered data were processed to include the following elements:

1. Accepted taxon ID
2. Accepted species name
3. Classification (higher ranks)
4. Year of occurrence
5. Coordinates of occurrence
6. Basis of record (specimen, human observation, etc.)
7. State or Territory
8. IBRA7 terrestrial region
9. IMCRA 4.0 mesoscale marine bioregion
10. Status of location in CAPAD 2020 (not protected area, protected area, Indigenous protected area)
11. Status of location in Forests of Australia (2013)
12. Status of location in Forests of Australia (2018)
13. Status of species on EPBC Act List of Threatened Species (mapped to accepted ALA species using galah R package)
14. Status of species on Global Register of Introduced and Invasive Species – Australia (GRIIS) version 1.6 (mapped to accepted ALA species using galah R package)

Processed occurrence data were grouped to count records detected for each distinct combination of eleven primary facets. The resulting dataset is published as aggregated_spp_occ.csv and includes the following elements:

1. Year of occurrence
2. Basis of record (specimen, human observation, etc.)
3. State/Territory
4. IBRA7 terrestrial region
5. IMCRA 4.0 mesoscale marine bioregion
6. Status of location in Forests of Australia (2018)
7. Status of location in Forests of Australia (2013)
8. Status of location in CAPAD 2020 (not protected, PA – protected area, IPA – Indigenous protected area)
9. Status of species on EPBC Act List of Threatened Species
10. Status of species on Global Register of Introduced and Invasive Species – Australia (GRIIS) version 1.6
11. ALA species identifier
12. Scientific name for species
13. Count of occurrence records matching the values for elements 1 to 11

Six derived summary datasets are also included. Each of these is a pivot of data in the main dataset and demonstrates a use case for the information.

• summary_protection_status_marine.csv • summary_protection_status_terrestrial.csv

These two datasets include the following columns:
1. IMCRA 4.0 / IBRA 7 bioregion
2. ALA Species ID
3. Species scientific name 4. EPBC status for species
5. Count of all records for species from region
6. Count of all records for species from protected areas inside region
7. Count of all records for species from protected areas under Indigenous management inside region

• summary_threatened_spp_occ_marine.csv • summary_threatened_spp_occ_terrestrial.csv

1. IMCRA 4.0 /IBRA 7 bioregion
2. Starting year of the time period
3. Ending year of the time period
4. EPBC status for species
5. Count of all occurrence records in the region and status for the given period
6. Count of all distinct species in the region and status for the given period

• summary_introduced_spp_occ_marine.csv • summary_introduced_spp_occ_terrestrial.csv

These two datasets include the following columns:
1. IMCRA 4.0 /IBRA 7 bioregion 2. Starting year of the time period
3. Ending year of the time period
4. GRIIS status for species (Native, Introduced, Invasive)
5. Count of all occurrence records in the region and status for the given period
6. Count of all distinct species in the region and status for the given period

Estimated Resident Population (ERP) is the official measure of the Australian population. ERP for sub-state regions (including SA2s and LGAs) is published annually, with a reference date of 30 June. ERP is the official measure of the Australian population, based on the concept of usual residence. It refers to all people, regardless of nationality, citizenship or legal status, who usually live in Australia, with the exception of foreign diplomatic personnel and their families. Note, years 2012-2016 describe preliminary rebased (PR) data. For more information about PR refer to the dataset's Explanatory Notes. This dataset has been compiled using Census data, mathematical models and a range of indicator data. Current indicators include building approvals, Medicare enrolments (provided by the Department of Human Services) and electoral enrolments (provided by the Australian Electoral Commission). Data is sourced from: ABS.Stat and further information is available at http://stat.data.abs.gov.au/Index.aspx?DataSetCode=ABS_ERP_LGA2016. For additional information about this dataset and other related statistics, contact the National Information and Referral Service on 1300 135 070.

This dataset presents the preliminary estimates of the resident population by age and sex as at 30 June 2017. The data is aggregated to Greater Capital City Statistical Areas (GCCSA), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

• AURIN has spatially enabled the data.

• Regions which contain unpublished data have been left blank in the dataset.

Please Note: As announced by the Minister for Immigration and Border Protection on 25 June 2017, the Department of Immigration and Border Protection (DIBP) retired the paper-based Outgoing Passenger Cards (OPC) from 1 July 2017. The information previously gathered via paper-based outgoing passenger cards is now be collated from existing government data and will continue to be provided to users. Further information can be accessed here: http://www.minister.border.gov.au/peterdutton/Pages/removal-of-the-outgoing-passenger-card-jun17.aspx.

Due to the retirement of the OPC, the Australian Bureau of Statistics (ABS) undertook a review of the OAD data based on a new methodology. Further information on this revised methodology is available at: http://www.abs.gov.au/AUSSTATS/abs@.nsf/Previousproducts/3401.0Appendix2Jul%202017?opendocument&tabname=Notes&prodno=3401.0&issue=Jul%202017&num=&view=

A sampling methodology has been applied to this dataset. This method means that data will not replicate, exactly, data released by the ABS, but the differences should be negligible.

Due to ‘Return to Source’ limitations, data supplied to ABS from non-DIPB sources are also excluded.

Overseas Arrivals and Departures (OAD) data refers to the arrival and departure of Australian residents or overseas visitors, through Australian airports and sea ports, which have been recorded on incoming or outgoing passenger cards. OAD data describes the number of movements of travellers rather than the number of travellers. That is, multiple movements of individual persons during a given reference period are all counted. OAD data will differ from data derived from other sources, such as Migration Program Outcomes, Settlement Database or Visa Grant information. Travellers granted a visa in one year may not arrive until the following year, or may not travel to Australia at all. Some visas permit multiple entries to Australia, so travellers may enter Australia more than once on a visa. Settler Arrivals includes New Zealand citizens and other non-program settlers not included on the Settlement Database. The Settlement Database includes onshore processed grants not included in Settler Arrivals.

These de-identified statistics are periodically checked for privacy and other compliance requirements. The statistics were temporarily removed in March 2024 in response to a question about privacy within the emerging technological environment. Following a thorough review and risk assessment, the Department of Home Affairs has republished the dataset.

This dataset presents the preliminary estimates of the resident population by age and sex as at 30 June 2017. The data is aggregated to Statistical Areas Level 3 (SA3), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

• AURIN has spatially enabled the data.

• Regions which contain unpublished data have been left blank in the dataset.

This dataset presents the estimates of the resident population by the 2017 Local Government Areas (LGA). The estimates are shown for the years of 2016 and 2017 and are meant to identify the regional population growth between the years of 2016 and 2017.

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it.

This data is ABS data (catalogue number: 3218.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

Notes:

• Regions which contain unpublished data have been left blank in the dataset

The Atlas of Living Australia (ALA) is Australia’s national biodiversity database. It is a collaborative, digital infrastructure that aggregates Australian biodiversity data from multiple sources, making the information open, accessible and reusable. The ALA delivers trusted data services for Australia, supporting world-class biodiversity research and decision-making.

Please see ALA’s help article How to cite the ALA for citation details.

This dataset has been developed by the Australian Government as an authoritative source of indigenous location names across Australia. It is sponsored by the Spatial Policy Branch within the Department of Communications and managed solely by the Department of Human Services.

The dataset is designed to support the accurate positioning, consistent reporting, and effective delivery of Australian Government programs and services to indigenous locations.

The dataset contains Preferred and Alternate names for indigenous locations where Australian Government programs and services have been, are being, or may be provided. The Preferred name will always default to a State or Territory jurisdiction's gazetted name so the term 'preferred' does not infer that this is the locally known name for the location. Similarly, locational details are aligned, where possible, with those published in State and Territory registers.

This dataset is NOT a complete listing of all locations at which indigenous people reside. Town and city names are not included in the dataset. The dataset contains names that represent indigenous communities, outstations, defined indigenous areas within a town or city or locations where services have been provided.

This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2018, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to Statistical Areas Level 2 (SA2), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS). Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period. This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics. For more information please visit the Explanatory Notes. AURIN has spatially enabled the data. Regions which contain unpublished data have been left blank in the dataset. Where regions have zero population, the relating ratio and percentage columns have been left blank.

This dataset presents the preliminary estimates of the resident population by age and sex as at 30 June 2017. The data is aggregated to the 2017 edition of the Local Government Areas (LGA).

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

• AURIN has spatially enabled the data.

• Regions which contain unpublished data have been left blank in the dataset.

The Australian Longitudinal Study of Ageing, which ran from 1992 to 2014, was devised to generate longitudinal data over multiple time points. Thirteen waves were carried out. Waves 1, 3, 6, 7, 9, 11 and 12 comprised of a full face-to-face ‘household’ interview and a clinical assessment. Waves 2, 4, 5, 8, 10, 13 consisted of shorter telephone household interviews.The initial sample of the older old (70 and older) was randomly drawn from the database of the South Australian Electoral Roll. Persons in the older age groups as well as males were deliberately oversampled to compensate for the higher mortality that could be expected over the study period. In addition, spouses of primary respondents (aged 65 and over) and other household members aged 70 and over were asked to participate. 2087 participants were initially interviewed at Wave 1 in 1992. Over the years, attrition due to either death, ill health, moving out of scope, being uncontactable, or refusal has reduced the number of participants to 94 in 2014. Information covering the data, questionnaires and relevant details are openly available.Items in the household interview schedule represent a comprehensive set of measures chosen for their reliability and validity in previous studies, sensitivity to change over time, and suitability for use in a study of elderly persons. The domains assessed included demography, health, depression, morbid conditions, hospitalisation, hearing and vision difficulties, cognition, gross mobility and physical performance, activities of daily living and instrumental activities of daily living, lifestyle activities, exercise education and income.At the completion of the household interview, participants were left with self-administered questionnaires, which were mailed back in pre- paid envelopes or collected at the time of the clinical assessment. The domains covered by the questionnaires were dental health, sexual activity and psychological measures of self-esteem, morale and perceived control.The individual clinical assessment objectively measured both physical and cognitive functioning. The physical examination included measures of blood pressure, anthropometry, visual acuity, audiometry and physical performance. The cognitive assessment included measures of memory, information processing efficiency, verbal ability and executive function. The clinical assessments were conducted by nurses who received special training in the standard administration of all psychological instruments and the anthropometric measures. In addition, fasting blood samples and urine specimens were collected on the morning following the clinical assessment at Wave 1, and blood samples were again taken at Wave 3.Some data have been provided by secondary sources. Participant deaths have been systematically monitored through the government Registry of Births, Deaths and Marriages.From Wave 7 onward, collateral data were gathered from the files of the Health Insurance Commission (HIC). Permission was sought for access to the Health Insurance Commission HIC for purposes of establishing use of medical care and services and expenditure. The information sought from the HIC database included: the number of medical care services, and for each service, the nature of the service, date, charge, and benefit; the number of PBS prescriptions, and for each prescription, the drug prescribed, number of repeats, date, charge, and benefit.

This dataset presents information from G16 – Highest year of school completed by age by sex in Australia based on the general community profile from the 2021 Census. It contains characteristics of persons, families, and dwellings by Local Government Areas (LGA), 2021, from the Australian Statistical Geography Standard (ASGS) Edition 3.

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

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

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

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

Data and geography references Source data publication: G16 – Highest year of school completed by age by sex Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: About the Census, 2021 Census product release guide – Community Profiles, Understanding Census geography Source: Australian Bureau of Statistics (ABS)

Australia Population: Female: Ages 45-49: % of Female Population data was reported at 6.171 % in 2023. This records a decrease from the previous number of 6.264 % for 2022. Australia Population: Female: Ages 45-49: % of Female Population data is updated yearly, averaging 6.192 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 7.279 % in 2007 and a record low of 4.813 % in 1982. Australia Population: Female: Ages 45-49: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 45 to 49 as a percentage of the total female population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;

Indicators describing the levels of different aspects of wellbeing within the South Australian population: Children -Children aged less than 15 years living in jobless families, 2011 -Children developmentally vulnerable in one or more domains, 2012 -Early school leavers who left school at Year 10 or below, or did not go to school, 2011 Unemployment -Unemployment benefits recipients, June 2014 -Young people aged 16 to 24 years receiving an unemployment benefit, June 2014 -Young people aged 15 to 24 years engaged in learning or earning, 2011 Health -Prevalence of high or very high psychological distress, 2011-13 -Smoking: persons, 2011-13 -Obesity: adults, 2011-13 Overview here: http://dcsi.maps.arcgis.com/apps/MapJournal/index.html?appid=1b84d1ccea924d58ad8247d9f7e8395a

The number of social media users in Australia was forecast to continuously increase between 2024 and 2029 by in total 2.1 million users (+8.55 percent). After the ninth consecutive increasing year, the social media user base is estimated to reach 26.68 million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.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).Find more key insights for the number of social media users in countries like Fiji and New Zealand.

Australian Migration Statistics is a statistical package provided as an accompaniment to the annual publication Australia’s Migration Trends published on the Department of Home Affairs website. The statistical package (first produced for the 2016–17 edition of Australia’s Migration Trends) provides detailed statistics on permanent and temporary migration.

See: Migration trends reports - https://www.homeaffairs.gov.au/research-and-statistics/statistics/visa-statistics/live/migration-program

The most common poverty measures, including that used by the OECD, focus on income based approaches. One of the most common measures of income poverty is the proportion of households with income …Show full descriptionThe most common poverty measures, including that used by the OECD, focus on income based approaches. One of the most common measures of income poverty is the proportion of households with income less than half median equivalised disposable household income (which is set as the poverty line); this is a relative income poverty measure as poverty is measured by reference to the income of others rather than in some absolute sense. Australia has one of the highest household disposable incomes in the world, which means that an Australian relative income poverty line is set at a high level of income compared to most other countries. OECD statistics on Australian poverty 2015-16 (based on ABS Survey of Income and Housing data and applying a poverty line of 50% of median income) determined the Australian poverty rate was over 25% before taxes and transfers, but falls around 12% after taxes and transfers. Though measuring poverty through application of solely an income measure is not considered comprehensive for an Australian context, however, it does demonstrate that the Australian welfare system more than halves the number of Australians that would otherwise be considered as at risk of living in poverty under that measure. It is important to consider a range of indicators of persistent disadvantage to understand poverty and hardship and its multidimensional nature. Different indicators point to different dimensions of poverty. While transient poverty is a problem, the experience of persistent poverty is of deeper concern, particularly where families experience intergenerational disadvantage and long-term welfare reliance. HILDA data from the Melbourne Institute of Applied Economic and Social Research shows the Distribution of number of years in poverty 2001–2015. The figure focuses on the longer term experience of working age adults and shows that while people do fall into poverty, only a small proportion of people are persistently poor.