This dataset presents the estimates of the Aboriginal and Torres Strait Islander, non-Indigenous and total populations of Australia for the year ending at 30 June 2016, based on results of the 2016 Census of Population and Housing. The data is by Statistical Area Level 2 (SA2) regions following the 2016 Australian Statistical Geography Standard (ASGS).

The Aboriginal and Torres Strait Islander population of Australia comprises people who are of Aboriginal origin, Torres Strait Islander origin or both Aboriginal and Torres Strait Islander origin. The Commonwealth definition of an Aboriginal and/or Torres Strait Islander person is:

• a person of Aboriginal and/or Torres Strait Islander descent who;

• identifies as being of Aboriginal and/or Torres Strait Islander origin and who is;

• accepted as such by the community with which the person associates.

This data is Australian Bureau of Statistics (ABS) data (catalogue number: 3238.0.55.001) used with permission from the ABS.

For more information please visit the ABS Explanatory Notes.

Please note:

• AURIN has spatially enabled the original data.

• Where data was not published, "np" in the original data, the records have been set to null

This dataset presents the estimates of the Aboriginal and Torres Strait Islander, non-Indigenous and total populations of Australia for the year ending at 30 June 2016, based on results of the 2016 Census of Population and Housing. The data is by Local Government Areas (LGA) following the 2016 Australian Statistical Geography Standard (ASGS). The Aboriginal and Torres Strait Islander population of Australia comprises people who are of Aboriginal origin, Torres Strait Islander origin or both Aboriginal and Torres Strait Islander origin. The Commonwealth definition of an Aboriginal and/or Torres Strait Islander person is: a person of Aboriginal and/or Torres Strait Islander descent who; identifies as being of Aboriginal and/or Torres Strait Islander origin and who is; accepted as such by the community with which the person associates. This data is Australian Bureau of Statistics (ABS) data (catalogue number: 3238.0.55.001) used with permission from the ABS. For more information please visit the ABS Explanatory Notes. Please note: AURIN has spatially enabled the original data.

This dataset presents data on population and people available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 4 (SA4) 2016 boundaries. The dataset includes information in the following specified areas of population and people: Estimated Resident Population, Working Age Population, Median Age, Births and Deaths, Population Density, Internal and Overseas Migration, Aboriginal and Torres Strait Islander people, Overseas Born Proportion, Religious Affiliation and Speaks language other than English.

Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.

For more information please visit the Explanatory Notes.

AURIN has made the following changes to the original data:

• Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA4 2016 dataset.

• Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.

• Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.

• Columns and rows that did not contain any values in the original data have been removed.

The number of Aboriginal females and their proportion of the total Aboriginal female population for 5 year age groups to 65+, 2015. Aboriginal as used in this workbook refers to Aboriginal and Torres Strait Islander people (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on Indigenous population estimates refer to: http://phidu.torrens.edu.au/. Source: Compiled by PHIDU based on data developed by Prometheus Information Pty Ltd, under a contract with the Australian Government Department of Health.

This dataset presents information from G07 – Indigenous status 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: G07 – Indigenous status 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)

The number of Aboriginal people and their proportion of the total population. The data is estimated resident populations (ERP non-ABS) developed by Prometheus Information, 2015 (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on Indigenous population estimates refer to: http://phidu.torrens.edu.au/. Source: Compiled by PHIDU based on data developed by Prometheus Information Pty Ltd, under a contract with the Australian Government Department of Health.

This dataset presents data on Aboriginal and Torres Straight Islander Peoples available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2016 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 4 (SA4) 2016 boundaries. The dataset includes information the topics of demographics, language, culture, education and health.

Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.

For more information please visit the Explanatory Notes.

AURIN has made the following changes to the original data:

• Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA4 2016 dataset.

• Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.

• Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.

• Columns and rows that did not contain any values in the original data have been removed.

This dataset presents the social and economic indicators for the indigenous population of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The data has been provided by The National Centre for Social and Economic Modelling (NATSEM) and includes the following indicators: age, sex, employment, education level, occupation, school attendance, language, household relationships, family types, household tenure type, household income, motor vehicles and household family composition. All indicators were extracted from the ABS Tablebuilder system using the usual residence profile. For usual residence data, the ABS moves people back to where they live, rather than using the location the data were collected (place of enumeration). Usual residence data is preferred for individual level data because it removes the effect of respondents travelling or holidaying. All rates were calculated as a proportion of all Indigenous people in the area, excluding any Not Stated or Overseas Visitors. Therefore, summing the rates across all categories for an indicator will give a total of 100%. For more information please view the NATSEM Technical Report. Please note: AURIN has spatially enabled the original data provided directly from NATSEM. Where data values are NULL, the data is either unpublished or not applicable mathematically.

The number of people with indigenous status in 5 year groups: 0-4 years to 65+ years and their proportion of the total population within that age group. The estimated resident population values (ERP non-ABS) were developed by Prometheus Information, 2015 (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on Indigenous population estimates refer to: http://phidu.torrens.edu.au/. Source: Compiled by PHIDU based on data developed by Prometheus Information Pty Ltd, under a contract with the Australian Government Department of Health.

The number of Aboriginal males and their proportion of the total Aboriginal male population for 5 year age groups to 65+, 2015. Aboriginal as used in this workbook refers to Aboriginal and Torres Strait Islander people (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on Indigenous population estimates refer to: http://phidu.torrens.edu.au/. Source: Compiled by PHIDU based on data developed by Prometheus Information Pty Ltd, under a contract with the Australian Government Department of Health.

This dataset, released August 2017, contains the Aboriginal population as a percentage of the total usual resident population by 5 year age groups: 0-4 years to 65+ years, 2016. The data is by Local Government Area (LGA) 2016 geographic boundaries.

For more information please see the data source notes on the data.

Source: Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016.

AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

While pharmacogenomic studies have facilitated the rapid expansion of personalized medicine, the benefits of these findings have not been evenly distributed. Genomic datasets pertaining to Indigenous populations are sorely lacking, leaving members of these communities at a higher risk of adverse drug reactions (ADRs), and associated negative outcomes. Australia has one of the largest Indigenous populations in the world. Pharmacogenomic studies of these diverse Indigenous Australian populations have been hampered by a paucity of data. In this article, we discuss the history of pharmacogenomics and highlight the inequalities that must be addressed to ensure equal access to pharmacogenomic-based healthcare. We also review efforts to conduct the pharmacogenomic profiling of chronic diseases among Australian Indigenous populations and survey the impact of the lack of drug safety-related information on potential ADRs among individuals in these communities.

This data set includes 1) customised geographies for 3047 settlements in Australia and their associated sociodemographic data as calculated from ABS data, and 2) detailed codes reflecting the legal protections for residential electricity customers across 12 selected indicators, which applied in each settlement in Australia on 1 July 2022. This data is best interpreted with the associated codebook, and the associated manuscript provides further details on the coding process.Geography identificationThe Australian Bureau of Statistics (ABS) Urban Centres and Localities (UCL) dataset identifies all settlements in Australia with populations of 200 or more people. There are also many smaller towns and settlements in Australia. To capture both large and small settlements, we developed a detailed settlement classification based on ABS’s smallest geographical units, Mesh Blocks (MBs), which cover the whole country without gaps or overlaps and which are intended to contain between 30 and 60 dwellings. Settlements have latitude and longitude of centre point included. We identified settlements using several steps:Estimated Residential Populations (ERP) at 30 June 2021 are imputed for every MB for the total population and the Indigenous population by progressively downscaling state/territory ERPs using Census counts tabulated at the SA4, SA3, SA2, SA1 and MB level.All MBs within a UCLs are allocated to that UCL.All remaining MBs classified by the ABS as being primarily used for residential purposes are grouped into clusters based on spatial contiguity.Clusters of MBs that are contiguous with a UCL are allocated to that UCL.Unallocated MB clusters are classified based on OpenStreetMap data. Specifically, a place name is allocated to a cluster of MBs if the MBs intersect an OpenStreetMap node with a “place” tag containing any of the values “city”, “town”, “village”, “hamlet” or “isolated_dwelling” and with a “name” tag.Unallocated MB clusters with a total ERP of 20 or less are excluded.Unallocated MB clusters that are within 10 km of a UCL are allocated to that UCL.Unallocated MB clusters that are within 10 km of a named OpenStreetMap place node (as above) are allocated to that place.Some outliers (e.g., prisons, a fracking field) were manually removed.Extensive manual checking against satellite photographs and other gazetteers was undertaken, especially of those MBs allocated to a settlement on the basis of distance to the closest named place. We manually added a number of named place nodes in OpenStreetMap based on a visual inspection of interim results.The exclusions column reflects 42 settlements (additional to the mapped 3047) for which names were identified but for which there is incomplete sociodemographic and policy data; we do not recommend using these settlements for analytical purposes.Sociodemographic data mapped to this settlement levelSEIFA indicators for the customised geographies, calculated as a population-weighted average of its constituent MBs. IRSAD, IRSD, IER, and IEO are included. See ABS for descriptions of these indicators.Remoteness as a dichotomous indicator (0 = 'Remote' or 'Very Remote'; 1 = ‘Major Cities’, ‘Inner Regional’, ‘Outer Regional’). Remoteness is determined from the ABS 2021 Remoteness Areas (see associated manuscript for further details).Estimated Resident Population (ERP).Percent of population that is Aboriginal or Torres Strait Islander People.Coding of legal protectionsData collection was completed during October 2021 to February 2023 and included review of 284 legal documents to identify protections in each settlement (reflected in respective "Agency, document" columns). Regulatory environment at the settlement level was cross-checked with review of over 800 further documents to ensure no exceptions were overlooked. Settlements were coded based on their legal protections up to and including 1 July 2022. Regulation undergoes frequent iteration, and there were many pending changes variously proposed, in draft form or in the process of introduction during our review. For example, one major change not captured by review is the transfer for responsibility for electricity services for 141 remote Aboriginal communities in WA (Remote Essential and Municipal Services communities) from the Department of Communities to the licensed utility Horizon Power (effective 1 April 2023). Document review focused on consumer focused electricity retail regulation (such as the National Energy Retail Law, NERL). Where categories of interest for electricity services fell within distributor remit as opposed to retailer remit (such as solar connections), we reviewed the appropriate documents associated with that level of electricity regulation (such as the National Electricity Rules (NER) made by the Australian Energy Market Commission (AEMC) under the NEL). Further details on the regulatory review process are included in the associated manuscript.We mapped twelve categories, separately recording prepay and post-pay customer protections where applicable. Separate coding of prepay and post-pay was undertaken due to the different types of legal protections afforded to customers for each of these payment types. The coding questions are as follows:Is the use of prepayment meters expressly prohibited by act, regulation, code, or licence condition?Are protections from disconnection due to non-payment required for life support customers pursuant to act, regulation, code or licence condition? (pre and post)Is the retailer required to have a family violence policy pursuant to act, regulation, code or licence condition? (pre and post)Is the retailer required to provide protections from disconnection/self-disconnection during an extreme weather event pursuant to act, regulation, code, or licence condition? (pre and post)Does an act, regulation, code or licence condition establish a guaranteed service level scheme which the distributor must adhere to regarding unplanned interruptions in the customer's electricity supply? (pre and post)What type of discretion does the regulation establish for customer right to connect residential solar?In the contract (such as a model standing offer) that a customer would refer to when connecting solar to a distribution network, are there clear eligibility criteria laid out under which the consumer could reasonably expect the distributor to approve a connection request for solar? (pre and post)Is the retailer required to report total numbers of customer disconnections for non‐payment (i.e., disconnections in the case of post-pay or so-called ‘self‐disconnections’ in the case of prepay) pursuant to act, regulation, code, or licence condition? (pre and post)Does an act, regulation, code, or licence condition require the retailer to have and publish customer complaints / dispute resolution procedures? (pre and post)Does an act, regulation, code, or licence condition require the retailer to be subject to an independent investigation and resolution process e.g., ombudsman scheme in relation to customer complaints / disputes? (pre and post)Does an act, regulation, code, or licence condition require the distributor to have and publish customer complaint / dispute resolution procedures? (pre and post)Does legislation, regulation, code, or licence condition require the distributor to be subject to an independent investigation and resolution process e.g., ombudsman scheme in relation to customer complaints / disputes? (pre and post)In addition to recording these protections, we also assessed:Do individual residential customers have a direct contractual relationship (e.g., a retail contract) with the utility?Is the settlement located within the National Electricity Market (NEM) (i.e., part of the interconnected network)?What category of NEM and consumer protections regime does the location belong to? (where the category is descriptive of the type of network (e.g., interconnected, isolated) and regulatory framework (e.g., NERL, local code) which applies for residential customers in each case).The Stata do file is included for ease of aggregating (changing) indicator assignment.

This dataset, released in December 2017, contains the female Aboriginal usual resident population by 5 year age groups: 0-4 years to 65+ years, 2016. The data is by Local Government Area (LGA) 2016 geographic boundaries.

Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.

For more information please see the data source notes on the data.

Source: Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016.

AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

BackgroundIndigenous populations globally are disproportionately affected by chronic hepatitis B virus (HBV) infection however contemporary sero-prevalence data are often absent. In the Indigenous population of the Northern Territory (NT) of Australia the unique C4 sub-genotype of HBV universally circulates. There are no studies of the sero-prevalence, nor the impact of the vaccination program (which has a serotype mismatch compared to C4), at a population-wide level.MethodsWe examined all available HBV serology results obtained from the three main laboratories serving NT residents between 1991 and 2011. Data were linked with a NT government database to determine Indigenous status and the most recent test results for each individual were extracted as a cross-sectional database including 88,112 unique individuals. The primary aim was to obtain a contemporary estimate of HBsAg positivity for the NT by Indigenous status.ResultsBased on all tests from 2007–2011 (35,633 individuals), hepatitis B surface antigen (HBsAg) positivity was 3·40% (95%CI 3·19–3·61), being higher in Indigenous (6·08%[5·65%-6·53%]) than non-Indigenous (1·56%[1·38%-1·76%]) Australians, p

This dataset, released December 2017, contains the Aboriginal usual resident population by 5 year age groups: 0-4 years to 65+ years, 2016. The data is by Population Health Area (PHA) 2016 …Show full descriptionThis dataset, released December 2017, contains the Aboriginal usual resident population by 5 year age groups: 0-4 years to 65+ years, 2016. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016. Please note the data may contain a number of symbols and blank cells, see the symbols and their meaning below: Please note: AURIN has spatially enabled the original data. "*" - Indicates statistically significant, at the 95% confidence level. "**" - Indicates statistically significant, at the 99% confidence level. "~" - Indicates modelled estimates have Relative Root Mean Square Errors (RRMSEs) from 0.25 to 0.50 and should be used with caution. "~~" - Indicates modelled estimates have RRMSEs greater than 0.50 but less than 1 and are considered too unreliable for general use. '?' - Indicates modelled estimates are considered too unreliable. Blank cell - Indicates data was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data). Copyright attribution: Torrens University Australia - Public Health Information Development Unit, (2018): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 AU)

This dataset presents data on Aboriginal and Torres Straight Islander Peoples available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Greater Capital City Statistical Area (GCCSA) 2016 boundaries. The dataset includes information the topics of demographics, language, culture, education and health.

Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.

For more information please visit the Explanatory Notes.

AURIN has made the following changes to the original data:

• Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) GCCSA 2016 dataset.

• Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.

• Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.

• Columns and rows that did not contain any values in the original data have been removed.

The number of Aboriginal persons and their proportion of the total Aboriginal population by age groups to 65 years and over by LGA 2011, for the year 2011. Copyright attribution: Torrens University …Show full descriptionThe number of Aboriginal persons and their proportion of the total Aboriginal population by age groups to 65 years and over by LGA 2011, for the year 2011. Copyright attribution: Torrens University Australia - Public Health Information Development Unit, (2014): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 AU)

ObjectiveDementia disproportionately affects First Nations populations. Biomarkers collected in primary care may assist with determining dementia risk. Our previous underpowered study showed some suggestive associations between baseline biomarkers with follow-up dementia or cognitive impairment. The current study extended this work with a larger linked dataset.Study design and settingProbabilistic data linkage was used to combine four baseline datasets with one follow-up assessment of dementia status 0–20 years later in a First Nations population in Australia. Mixed Effects Generalized Linear Regression models were used to test associations between baseline measures and follow-up status, accounting for repeated measures within individuals.ResultsLinked data were available for 88 individuals, with 101–279 baseline observations, depending on the type of measure. Higher urinary albumin to creatine ratio was associated with greater risk of cognitive impairment/dementia, whereas body weight and key lipid markers were negatively associated. There was no clear trend when these associations were examined by timing of measurement (i.e., ≤10 years or >10 years before a dementia assessment).ConclusionsThe results of this study support findings from our previous work and indicate that microalbuminuria can be an early indicator of dementia risk in this population. The weight and lipid profile findings reflect the mixed results in the published literature and require further investigation and interpretation.

The publication Youth detention population in Australia 2016 can be found on the AIHW Website.

The report presents information on the youth detention population in Australia, focusing on quarterly trends from June 2012 to June 2016. On an average night in the June quarter 2016, there were just over 900 young people in detention, over half of whom were unsentenced. Numbers and rates of young people in detention dropped slightly over the four years; however, this trend varied between different states and territories. Around half of all young people in detention on an average night were Indigenous.

The data set provided on data.gov.au contains data on young people in detention from June 2008 to June 2016. Some data may differ to the results published in Youth detention population in Australia 2016 due to data revisions.