Indigenous Areas (IARE) are medium sized geographical areas designed to facilitate the release of more detailed statistics for Aboriginal and Torres Strait Islander people. It is part of the Indigenous Structure, a geographical standard for the publication and analysis of statistics about the Aboriginal and/or Torres Strait Islander peoples of Australia. Statistical Area Level 1 (SA1s) aggregate to Indigenous Locations which aggregate to Indigenous Areas, and they in turn aggregate to Indigenous Regions. At each hierarchical level, all of Geographic Australia is covered without gaps or overlaps. The boundaries in the Indigenous Structure are built from whole SA1s. SA1s are designed with reference to language groups, information from people with local knowledge of certain communities, and transport networks to identify both remote and non-remote discrete communities and urban areas with a high usual resident Aboriginal and Torres Strait Islander population. In some cases, Aboriginal and Torres Strait Islander communities that are too small to be identified separately have been combined with other nearby and associated communities.Data and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS) Edition 3Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 - Indigenous AreasFurther information: Australian Statistical Geography Standard (ASGS) Edition 3 - Indigenous StructureSource: Australian Bureau of Statistics (ABS)Made possible by the Digital Atlas of AustraliaThe Digital Atlas of Australia is a key Australian Government initiative being led by Geoscience Australia, highlighted in the Data and Digital Government Strategy. It brings 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 of Australia.Contact the Australian Bureau of StatisticsEmail geography@abs.gov.au if you have any questions or feedback about this web service.Subscribe to get updates on ABS web services and geospatial products.Privacy at the Australian Bureau of StatisticsRead how the ABS manages personal information - ABS privacy policy.

Indigenous Areas (IARE)

Indigenous Areas (IARE) are medium sized geography units designed to facilitate the release of more detailed statistics for Aboriginal and Torres Strait Islander people.

IAREs are made from Indigenous Locations (ILOCs).

Using IAREs with Census data

Use IAREs to balance the need for specific location data and more detailed information about the characteristics of that data. If you require information about a specific area, use ILOCs. If greater availability of data is more important, use larger Indigenous Regions (IREGs).

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Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

Indigenous Locations (ILOC)

Indigenous Locations (ILOCs) represent small Aboriginal and Torres Strait Islander communities (urban and rural) that are near each other or that share language, traditional borders, or Native Title. Indigenous Locations (ILOCs) are geographic areas built from whole Statistical Areas Level 1 (SA1s).

ILOCs usually have a minimum population of about 90 usual residents. In some cases, they may have a smaller Aboriginal and Torres Strait Islander population to meet statistical requirements or to better represent the local community. ILOCs combine to form Indigenous Areas (IAREs).

Using ILOCs with Census data

Use ILOCs if you require very specific information about an area. Due to their small population size, there are limitations to the quality of data at this geography level.

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Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

This product, Australian Statistical Geography Standard (ASGS) Volume 1 - Main Structure and Greater Capital City Statistical Areas (cat no. 1270.0.55.001), is the first in a series of Volumes that will detail the various structures and regions of the ASGS. Its purpose is to outline the conceptual basis of the regions of the Main Structure and the Greater Capital City Statistical Areas and their relationship to each other.

Volume 2 - Indigenous Structure (cat no. 1270.0.55.002), is the second in a series of Volumes that detail the various structures and regions of the ASGS. Its purpose is to outline the conceptual basis for the design of the Indigenous Structure. This product contains several elements including the manual, region names and codes and the digital boundaries.

The Non-ABS Structures bring together those regions which are not defined by the ABS, but which are important to users of ABS statistics. ABS is committed to providing a range of statistics for these areas. They generally represent administrative regions and are approximated by Mesh Blocks (MBs), Statistical Areas Level 1 (SA1) or Statistical Areas Level 2 (SA2). As the Non-ABS Structures represent regions that are subject to ongoing change, the ABS will release a revised publication for ASGS Non-ABS Structures in July each year. The individual structures will only be updated where significant change has occurred in the past year.

Full metadata is available at the feature class level by selecting the 'Description' tab in ArcCatalog.

This dataset contains three Geodatabases:

1. ABS Boundaries 2011

Feature Classes:

a) Greater Capital City Statistical Area polygons for Australia - GCCSA_2011_AUST

b) Mesh Block polygons split into State feature classes - MB_2011_[STATE]

c) Statistical Area polygons, Split into Levels 1, 2, 3 and 4 feature classes - SA[LEVEL]_2011

d) State Borders for Australia polygons - STE_2011_AUST

1. Indigenous Structures 2011

Feature Classes:

a) Indigenous Areas - Polygons

b) Indigenous Locations - Polygons

c) Indigenous Regions - Polygons

1. Non ABS Boundaries 2011

Feature Classes

a) Australian Drainage Divisions

b) Commonwealth Electoral Divisions

c) Local Government Areas

d) Postal Areas

e) State Electoral Boundaries

f) State Suburb Code

g) Tourism Regions

Dataset History

The Australian Statistical Geography Standard (ASGS) is a hierarchical classification system of geographical regions and consists of a number of interrelated structures. The ASGS brings all the regions for which the Australian Bureau of Statistics (ABS) publishes statistics within the one framework and will be used by the ABS for the collection and dissemination of geographically classified statistics from the 1 July 2011. It provides a common framework of statistical geography and enables the production of statistics which are comparable and can be spatially integrated.

Dataset Citation

Australian Bureau of Statistics (2011) ABS Boundaries 2011. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/8b65c3a4-7010-4a79-8eaa-5621b750347f.

This dataset presents a range of data items sourced from the Australian Bureau of Statistics (ABS). The data is derived from the November 2024 release of Data by region. Individual data items present the latest reference year data available on Data by region. This layer presents data by Statistical Areas Level 2 (SA2), 2021.

The Aboriginal and Torres Strait Islander Peoples theme is based on groupings of data within Data by region. Concepts, sources and methods for each dataset can be found on the Data by region methodology page.

Topics in the Aboriginal and Torres Strait Islander Peoples theme include:

Estimated resident population Language (Census) Engagement in employment, education or training (Census) Labour force status (Census) Unpaid assistance to person with disability (Census) Unpaid childcare (Census) Voluntary work (Census) Tenure type (Census)

The Closing the Gap topics that are informed by Census data are included in the update:

Target 5: By 2031, increase the proportion of Aboriginal and Torres Strait Islander people aged 20-24 years attaining Year 12 or an equivalent qualification to 96 per cent. Target 6: By 2031, increase the proportion of Aboriginal and Torres Strait Islander people aged 25-34 years who have completed a tertiary qualification (Certificate III and above) to 70 per cent. Target 7: By 2031, increase the proportion of Aboriginal and Torres Strait Islander youth aged 15-24 years who are in employment, education or training to 67 per cent. Target 8: By 2031, increase the proportion of Aboriginal and Torres Strait Islander people aged 25-64 years who are employed to 62 per cent. Target 9A: By 2031, increase the proportion of Aboriginal and Torres Strait Islander people living in appropriately sized (not overcrowded) housing to 88 per cent.

When analysing these statistics:

Time periods, definitions, methodologies, scope, and coverage can differ across collections.
Some data values have been randomly adjusted or suppressed to avoid the release of confidential data, this means

    some small cells have been randomly set to zero
    care should be taken when interpreting cells with small numbers or zeros.

Data and geography references

Source data publication: Data by region Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Data by region methodology, reference period 2011-24 Source: Australian Bureau of Statistics (ABS)

Made possible by the Digital Atlas of Australia

The Digital Atlas of Australia is a key Australian Government initiative being led by Geoscience Australia, highlighted in the Data and Digital Government Strategy. It brings 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 of Australia.

Contact the Australian Bureau of Statistics

Email geography@abs.gov.au if you have any questions or feedback about this web service.
Subscribe to get updates on ABS web services and geospatial products.

Privacy at the Australian Bureau of Statistics Read how the ABS manages personal information - ABS privacy policy.

Indigenous Regions (IREG)

Indigenous Regions (IREGs) are large geographic areas built from whole Indigenous Areas and are based on historical boundaries. IREGs are created by aggregating one or more Indigenous Areas (IAREs).

Using IREGs with Census data

Their larger population size means that more Census variables are released at an IREG level compared to Indigenous Locations (ILOCs) and IAREs. This means that you can use multiple Census variables to get more information about an area. Note, IREGs cover a larger area than ILOCs and IAREs so information is less specific to a particular location.

Use IREGs if you want more information about an area by using multiple Census variables.

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Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

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.

This layer provide some of the more commonly used variables from the General Community Profile information from the Australian Bureau of Statistics 2021 census. Data is available for Country, Greater Capital City Statistical Area (GCCSA), Local Government Area (LGA), Statistical Area Level 1 (SA1) and 2 (SA2), and Suburb and Localities (SAL) boundaries.

The General Community Profile contains a series of tables showing the characteristics of persons, families and dwellings in a selected geographic area. The data is based on place of usual residence (that is, where people usually live, rather than where they were counted on Census night). Community Profiles are excellent tools for researching, planning and analysing geographic areas for a number of social, economic and demographic characteristics.

To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.

Download the data here.

Data and Geography notes:

View the Readme files located in the DataPacks and GeoPackages zip files. To access the 2021 DataPacks, visit https://www.abs.gov.au/census/find-census-data/datapacks Glossary terms and definitions of classifications can be found in the 2021 Census Dictionary More information about Census data products is available at https://www.abs.gov.au/census/guide-census-data/about-census-tools/datapacks

Detailed geography information:

https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/main-structure-and-greater-capital-city-statistical-areas: 2021 Statistical Area Level 1 (SA1), 2021 Statistical Area Level 2 (SA2), 2021 Greater Capital City Statistical Areas (GCCSA), 2021 Australia (AUS) https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures: 2021 Suburbs and Localities (SAL), 2021 Local Government Areas (LGA)

Please note that there are data assumptions that should be considered when analysing the ABS Census data. These are detailed within the Census documents referenced above. These include:

Registered Marital Status In December 2017, amendments to the Marriage Act 1961 came into effect enabling marriage equality for all couples. For 2021, registered marriages include all couples. Core Activity Need for Assistance Measures the number of people with a profound or severe core activity limitation. People with a profound or severe core activity limitation are those needing assistance in their day to day lives in one or more of the three core activity areas of self-care, mobility and communication because of a long-term health condition (lasting six months or more), a disability (lasting six months or more), or old age. Number of Motor Vehicles Excludes motorbikes, motor scooters and heavy vehicles.

Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.

Source: Australian Bureau of Statistics

This dataset presents the estimates of the internal migration statistics of Australia by Statistical Areas Level 3 (SA3) following the 2011 Australian Statistical Geography Standard (ASGS). The dataset spans from the 2006-07 financial year up to the 2015-16 financial year.

Regional internal migration is the movement of people from one region to another within Australia (both interstate and intrastate). For example, it incorporates moves from a Statistical Area Level 3 (SA3) to any other SA3 within the country. Net regional internal migration is the net gain or loss of population through this movement.

The ABS has developed a new series of annual regional internal migration estimates (RIME) based on the 2011 edition of the Australian Statistical Geography Standard (ASGS). The Medicare and Defence data used for estimating interstate migration is now also used to estimate internal migration below the state/territory level. However, as Medicare and Defence change of address counts are supplied to the ABS by postcode a method was developed to convert these counts to SA3, the base spatial unit of the ASGS. The method used correspondences to convert to SA3, and adjustments were applied to account for known deficiencies in the Medicare and Defence data. A similar method was used to prepare RIME at the LGA level, based on 2011 boundaries.

This data is Australian Bureau of Statistics (ABS) data (catalogue number: 3412.0) used with permission from the ABS.

For more information please visit the ABS Explanatory Notes.

Please note: RIME are not directly comparable with estimated resident populations (ERPs) because of the different methods and source data used to prepare each series. The combination of natural increase and net migration (internal and overseas) therefore may not correspond with change in ERP. AURIN has spatially enabled the original data.

This dataset presents data on income (including Government allowances) 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 Local Government Area (LGA) 2019 boundaries. The dataset includes information in the following specified areas of income: Estimates of Personal Income, Gross Capital Gains, Selected Government Pensions and Allowances, Total Personal Income (Weekly) and Equivalised Total Household Income. 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.

Export Data Access API NSW Administrative Boundaries Theme – Australian Bureau of Statistics Regional Boundaries – Local Government Area

Please Note

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

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

Metadata Portal Metadata Information Content TitleNSW Administrative Boundaries Theme - ABS Regional Boundaries Local Government AreaContent TypeHosted Feature LayerDescriptionAustralian Bureau of Statistics (ABS) Statistical Geographical Standard Boundaries Suburb divides an area of interest throughout the state of NSW on which statistics are collected for purposes under the Census and Statistics Act 1905 (Cth).The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the Australian Bureau of Statistics (ABS) and many other organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with a coherent set of standard regions so that they can access, visualise, analyse and understand statistics.The 2016 ASGS will be used for the 2016 Census of Population and Housing and progressively introduced into other ABS data collections. The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data.The ABS Structures are a hierarchy of regions developed for the release of ABS statistical information. The main components are as follows:Statistical Areas Level 1Statistical Areas Level 2Statistical Areas Level 3Statistical Areas Level 4Regional Boundaries (Local Government Area, Suburb)The Australian Bureau of Statistics Geographical Standard Boundaries - Statistical Areas are used to define geographical areas to support statistical and socio-economic analysis at a state and regional scale. They are useful for analytical purposes within statistical boundaries through the aggregation of a wide swath of data and information.The ABS maintains the Australian Statistical Geography Standard (ASGS) and the Australian Standard Geographical Classification (ASGC) for pre-2011 census information.In addition to the NSW Administrative Boundaries Theme Australian Bureau of Statistics also provides this data via a web service direct from ABS.Further standards, specifications and classifications can be found at:Australian Bureau of Statistics StandardsAustralian Bureau of Statistics ClassificationsThe regions defined in the ABS Structures will not change until the next Census in 2021. The Non-ABS Structures are updated only when the ABS considers that there are major changes to the administrative boundaries they represent.Initial Publication Date05/02/2020Data Currency01/01/3000Data Update FrequencyOtherContent SourceAPIFile TypeMap Feature ServiceAttribution© State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW). For current information go to spatial.nsw.gov.au.Data Theme, Classification or Relationship to other DatasetsNSW Administrative Boundaries Theme of the Foundation Spatial Data Framework (FSDF)AccuracyThe dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. This dataset was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at map scale for 90% of the well-defined points. That is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:100000 = 50m. A program to upgrade the spatial location and accuracy of data is ongoing. Spatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:3857WGS84 Equivalent ToGDA94Spatial ExtentFull StateContent LineageFor additional information, please contact us via the Spatial Services Customer HubData ClassificationUnclassifiedData Access PolicyOpenData QualityFor additional information, please contact us via the Spatial Services Customer HubTerms and ConditionsCreative CommonsStandard and SpecificationOpen Geospatial Consortium (OGC) implemented and compatible for consumption by common GIS platforms.Continued spatial upgrades of Administrative Boundaries data.Enhanced access to boundaries via online mechanisms.Further standards, specifications and classifications can be found at:Australian Bureau of Statistics StandardsAustralian Bureau of Statistics ClassificationsData CustodianAustralian Bureau of Statistics ABS House Locked Bag 10 Belconnen ACT 2616Point of ContactPlease contact us via the Spatial Services Customer Hub or contact the ABS directly using the following:Australian Bureau of Statistics 1300 135 070Customised Data and Information on 1300 135 070 Data AggregatorAustralian Bureau of StatisticsABS HouseLocked Bag 10 Belconnen ACT 2616Data DistributorCustomer Experience & Insights, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795Additional Supporting InformationData DictionariesTRIM Number

This dataset presents information about total income distribution. The data covers the financial year of 2015-2016, and is based on Local Government Areas (LGA) 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.

Significant Urban Areas (SUA)

Significant Urban Areas (SUA) are used to output a broad range of ABS social and demographic statistics. They represent towns and cities of 10,000 people or more.

SUAs are built of Statistical Areas Level 2 (SA2s). They are defined by Urban Centres from the Urban Centres and Localities (UCLs) geography i.e. a single SUA can represent either a single Urban Centre or a cluster of related Urban Centres.

Areas that are not in an SUA are combined to form a ‘Not in any significant urban area’ region for each state or territory.

Using SUAs with Census data

SUAs are useful to understand the characteristics of the built up area of cities and towns. A wider range of ABS data is also available for SUAs such as Estimated Resident Population which can be used for more detailed analysis.

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Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Australian Bureau of Statistics (ABS) Catalogue Number: 3218.0 Population Estimates by Local Government Area, 2011 to 2012.

Dataset History

ABS Catalogue Number 3218.0 Population Estimates by Local Government Area, 2011 to 2012.

This dataset was downloaded as a single spreadsheet file (.xls) on 29 May, 2014 from the following website: http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3218.02011-12?OpenDocument

(Metadata taken from the Explanatory Notes section of the ABS website http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/3218.0Explanatory%20Notes12011-12?OpenDocument)

INTRODUCTION

1 This product contains estimates of the resident population of Statistical Areas Level 2 to 4 (SA2s - SA4s) and Greater Capital City Statistical Areas (GCCSAs) of Australia. These estimates plus those for Local Government Areas, Significant Urban Areas, Remoteness Areas and Electoral Divisions are also provided in the Downloads tab of this issue.

2 To meet the conflicting demands for accuracy and timeliness there are several versions of sub-state/territory population estimates. Preliminary estimates as at 30 June are normally available by April of the following year, revised estimates twelve months later and rebased and final estimates after the following Census. The estimates in this issue are preliminary rebased for 2011, based on the results of the 2011 Census, and preliminary for 2012.

For an ABS Glossary of Terms visit:

http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/2901.0Main%20Features12011

Dataset Citation

Australian Bureau of Statistics (2013) ABS Regional Population Growth Australia 2011-2012. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/c27fc127-3743-4805-b4b6-f50712cd655f.

These population projections were prepared by the Australian Bureau of Statistics (ABS) for Geoscience Australia. The projections are not official ABS data and are owned by Geoscience Australia. These projections are for Statistical Areas Level 2 (SA2s) and Local Government Areas (LGAs), and are projected out from a base population as at 30 June 2022, by age and sex. Projections are for 30 June 2023 to 2032, with results disaggregated by age and sex.

Method The cohort-component method was used for these projections. In this method, the base population is projected forward annually by calculating the effect of births, deaths and migration (the components) within each age-sex cohort according to the specified fertility, mortality and overseas and internal migration assumptions. The projected usual resident population by single year of age and sex was produced in four successive stages – national, state/territory, capital city/rest of state, and finally SA2s. Assumptions were made for each level and the resulting projected components and population are constrained to the geographic level above for each year.
These projections were derived from a combination of assumptions published in Population Projections, Australia, 2022 (base) to 2071 on 23 November 2023, and historical patterns observed within each state/territory.

Projections – capital city/rest of state regions The base population is 30 June 2022 Estimated Resident Population (ERP) as published in National, state and territory population, June 2022. For fertility, the total fertility rate (at the national level) is based on the medium assumption used in Population Projections, Australia, 2022 (base) to 2071, of 1.6 babies per woman being phased in from 2022 levels over five years to 2027, before remaining steady for the remainder of the projection span. Observed state/territory, and greater capital city level fertility differentials were applied to the national data so that established trends in the state and capital city/rest of state relativities were preserved. Mortality rates are based on the medium assumption used in Population Projections, Australia, 2022 (base) to 2071, and assume that mortality rates will continue to decline across Australia with state/territory differentials persisting. State/territory and capital city/rest of state differentials were used to ensure projected deaths are consistent with the historical trend. Annual net overseas migration (NOM) is based on the medium assumption used in Population Projections, Australia, 2022 (base) to 2071, with an assumed gain (at the national level) of 400,000 in 2022-23, increasing to 315,000 in 2023-24, then declining to 225,000 in 2026-27, after which NOM is assumed to remain constant. State and capital city/rest of state shares are based on a weighted average of NOM data from 2010 to 2019 at the state and territory level to account for the impact of COVID-19. For internal migration, net gains and losses from states and territories and capital city/rest of state regions are based on the medium assumption used in Population Projections, Australia, 2022 (base) to 2071, and assume that net interstate migration will trend towards long-term historic average flows.

Projections – Statistical Areas Level 2 The base population for each SA2 is the estimated resident population in each area by single year of age and sex, at 30 June 2022, as published in Regional population by age and sex, 2022 on 28 September 2023. The SA2-level fertility and mortality assumptions were derived by combining the medium scenario state/territory assumptions from Population Projections, Australia, 2022 (base) to 2071, with recent fertility and mortality trends in each SA2 based on annual births (by sex) and deaths (by age and sex) published in Regional Population, 2021-22 and Regional Population by Age and Sex, 2022. Assumed overseas and internal migration for each SA2 is based on SA2-specific annual overseas and internal arrivals and departures estimates published in Regional Population, 2021-22 and Regional Population by Age and Sex, 2022. The internal migration data was strengthened with SA2-specific data from the 2021 Census, based on the usual residence one year before Census night question. Assumptions were applied by SA2, age and sex. Assumptions were adjusted for some SA2s, to provide more plausible future population levels, and age and sex distribution changes, including areas where populations may not age over time, for example due to significant resident student and defence force populations. Most assumption adjustments were made via the internal migration component. For some SA2s with zero or a very small population base, but where significant population growth is expected, replacement migration age/sex profiles were applied. All SA2-level components and projected projections are constrained to the medium series of capital city/rest of state data in Population Projections, Australia, 2022 (base) to 2071.

Projections – Local Government Areas The base population for each LGA is the estimated resident population in each area by single year of age and sex, at 30 June 2022, as published in Regional population by age and sex, 2022 on 28 September 2023. Projections for 30 June 2023 to 2032 were created by converting from the SA2-level population projections to LGAs by age and sex. This was done using an age-specific population correspondence, where the data for each year of the projection span were converted based on 2021 population shares across SA2s. The LGA and SA2 projections are congruous in aggregation as well as in isolation. Unlike the projections prepared at SA2 level, no LGA-specific projection assumptions were used.

Nature of projections and considerations for usage The nature of the projection method and inherent fluctuations in population dynamics mean that care should be taken when using and interpreting the projection results. The projections are not forecasts, but rather illustrate future changes which would occur if the stated assumptions were to apply over the projection period. These projections do not attempt to allow for non-demographic factors such as major government policy decisions, economic factors, catastrophes, wars and pandemics, which may affect future demographic behaviour. To illustrate a range of possible outcomes, alternative projection series for national, state/territory and capital city/rest of state areas, using different combinations of fertility, mortality, overseas and internal migration assumptions, are prepared. Alternative series are published in Population Projections, Australia, 2022 (base) to 2071. Only one series of SA2-level projections was prepared for this product. Population projections can take account of planning and other decisions by governments known at the time the projections were derived, including sub-state projections published by each state and territory government. The ABS generally does not have access to the policies or decisions of commonwealth, state and local governments and businesses that assist in accurately forecasting small area populations. Migration, especially internal migration, accounts for the majority of projected population change for most SA2s. Volatile and unpredictable small area migration trends, especially in the short-term, can have a significant effect on longer-term projection results. Care therefore should be taken with SA2s with small total populations and very small age-sex cells, especially at older ages. While these projections are calculated at the single year of age level, small numbers, and fluctuations across individual ages in the base population and projection assumptions limit the reliability of SA2-level projections at single year of age level. These fluctuations reduce and reliability improves when the projection results are aggregated to broader age groups such as the five-year age bands in this product. For areas with small elderly populations, results aggregated to 65 and over are more reliable than for the individual age groups above 65. With the exception of areas with high planned population growth, SA2s with a base total population of less than 500 have generally been held constant for the projection period in this product as their populations are too small to be reliably projected at all, however their (small) age/sex distributions may change slightly. These SA2s are listed in the appendix. The base (2022) SA2 population estimates and post-2022 projections by age and sex include small artificial cells, including 1s and 2s. These are the result of a confidentialisation process and forced additivity, to control SA2 and capital city/rest of state age/sex totals, being applied to their original values. SA2s and LGAs in this product are based on the Australian Statistical Geography Standard (ASGS) boundaries as at the 2021 Census (ASGS Edition 3). For further information, see Australian Statistical Geography Standard (ASGS) Edition 3.

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Data and geography references Source data publication: Population Projections, Australia, 2022 (base)

This dataset contains estimates of the resident population and estimates of the components of population change as at 30 June for the years 2001-2020. The data is aggregated to the 2020 Australian Statistical Geography Standard (ASGS) Local Government Areas (LGA).

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

For more information please visit the Regional population methodology.

Notes: The population estimates in this issue are final for 2001 to 2016, revised for 2017 to 2019, and preliminary for 2020. 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.

AURIN has ingested this dataset in its GeoPackage format.

Estimated resident population (ERP) is the official measure of the Australian population.

This dataset presents estimated resident population for 30 June 2001 to 30 June 2023 by Statistical Areas Level 2 (SA2s), 2021. Estimates are final for 2001 to 2021, revised for 2022, and preliminary for 2023.

What is ERP? ERP links people to a place of usual residence within Australia. Usual residence is the address at which a person considers themselves to currently live. ERP includes all people who usually live in Australia (regardless of nationality, citizenship or legal status), with the exception of foreign diplomatic personnel and their families. It includes usual residents who are overseas for less than 12 months out of a continuous 16-month period. It excludes those who are in Australia for less than 12 months out of a continuous 16-month period. ERP is prepared by adding births, subtracting deaths and adding the net of overseas and internal migration to a base population derived from the latest Census of Population and Housing.

The SA2 estimates in this product are subject to some error. Some caution should be exercised when using the estimates, especially for areas with very small populations. Estimates of under three people should be regarded as synthetic due to confidentiality procedures. For further information about the data see: Regional Population Methodology.

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: Regional population, 2022-23 Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Regional population methodology Source: Australian Bureau of Statistics (ABS)

This dataset presents information about employee income. The data covers the financial years 2011-12 to 2017-18, and is based on Statistical Area Level 3 (SA3) according to the 2016 edition of the Australian Statistical Geography Standard (ASGS). Employee income is the total (or gross) income received as a return to labour from an employer or from a person's own incorporated business (when they are employed by this business). The data used in deriving employee income comes from both Individual Tax Returns (ITR) and payment summaries (where an individual has not lodged an ITR). 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 Australian Bureau of Statistics (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 contains statistics for deaths and mortality in Australia. It includes all deaths that occurred and were registered in Australia, including deaths of persons whose place of usual …Show full descriptionThis dataset contains statistics for deaths and mortality in Australia. It includes all deaths that occurred and were registered in Australia, including deaths of persons whose place of usual residence was overseas. Deaths of Australian residents that occurred outside Australia may be registered by individual Registrars, but are not included in Australian Bureau of Statistics (ABS) death statistics. Standardised death rates in this dataset differ from those in the ABS.Stat datasets and commentary. Standardised death rates in this dataset are averaged using data for the three years ending in the reference year. They are calculated for each calendar year and then averaged. Standardised death rates in the ABS.Stat datasets and commentary are based on death registration data for the reference year only. Null values represent data not available for publication This dataset uses deaths and estimated resident population (ERP) for the Local Government Areas (LGAs) of Australia for 30 June 2012 to 2019, according to the 2019 edition of the Australian Statistical Geography Standard (ASGS). ERP is final for 2012 to 2016, revised for 2017 & 2018 and preliminary for 2019, based on the 2016 Census of Population and Housing. Data has been sourced from the September 2020 release. For more information including which ERP was used in this dataset please visit the Australian Bureau of Statistics (ABS) Explanatory Notes. AURIN has spatially enabled the original data from the ABS with the 2019 LGA boundaries. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2020): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 4.0 International (CC BY 4.0)

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

These datasets contain counts of the total usual resident population and total dwelling count from the 2011 Census of Population and Housing for Mesh Blocks. Mesh Blocks are the smallest geographic region in the Australian Statistical Geography Standard (ASGS), and the smallest geographical unit for which Census data are available. In 2011, there were approximately 347,000 Mesh Blocks covering the whole of Australia without gaps or overlaps. They broadly identify land use such as residential, commercial, agricultural and parks etc. Mesh Blocks are identified with a unique 11 digit code. Most residential Mesh Blocks contain approximately 30 to 60 dwellings. Mesh Blocks have been designed to be small enough to aggregate accurately to a wide range of spatial units and thus enable a ready comparison of statistics between geographical areas. These are large enough to protect against accidental disclosure.

For 2011, Mesh Block counts are available by usual residence for basic person counts and dwelling counts.

*Persons Usually Resident: This is the count of people where they usually live, which may or may not be where they were on Census Night. This data is coded from the address supplied to the question "Where does the person usually live?". For more information about usual residence, see Place of Usual Residence in the Census Dictionary, 2011 (cat. no. 2901.0).

*Dwellings: A dwelling is a structure which is intended to have people live in it, and which is habitable on Census Night. Some examples of dwellings are houses, motels, flats, caravans, prisons, tents, humpies and houseboats. All occupied dwellings are counted in the Census. Unoccupied private dwellings are also counted with the exception of those in caravan parks, marinas and manufactured home estates. For more information about dwellings, see Dwelling Type in the Census Dictionary, 2011 (cat. no. 2901.0).

For the 2006 Census, experimental Mesh Blocks were developed and counts for usual residence population and total dwellings were provided for each Mesh Block. The boundaries were reviewed and revised in preparation for the 2011 Census.

Dataset History

No lineage information was provided with the data from the Australian Bureau of Statistics.

Dataset Citation

Australian Bureau of Statistics (2014) ABS Mesh Block Population Counts Aus 2011. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/ee39fa76-db4e-412a-af0a-115d965b5813.