This dataset is about cities in Australia. It has 187 rows. It features 7 columns including country, population, latitude, and longitude.

Contains projections (based on different assumptions of future fertility, mortality and migration) of the resident population of Australia, the states and territories, capital cities and balance of states, by age and sex for the base year to 2101 (for Australia) and for the base year to 2061 (for the states and territories, capital cities and balances of states). Also includes summary measures such as percentages of population in selected age groups and median ages as well as detailed notes on the assumptions used.

Disclaimer: The material contained in this publication is made available on the understanding that the Commonwealth is not providing professional advice, and that users exercise their own skill and care with respect to its use, and seek independent advice if necessary. The Commonwealth makes no representations or warranties as to the contents or accuracy of the information contained in this publication. To the extent permitted by law, the Commonwealth disclaims liability to any person or organisation in respect of anything done, or omitted to be done, in reliance upon information contained in this publication.

The Progress in Australian Regions and Cities dataset presents the underlying data from the Progress in Australian Regions Dashboard – which was released as an online interactive dashboard for the first time in 2020. The Dashboard is a statistical resource that shows how regions are progressing against a range of key indicators from the following themes: labour market, infrastructure, housing, economic activity, environment, demography and well-being. Users can access the data by indicator theme, drilling down to their region and indicator of interest. The Dashboard can be accessed at the Bureau of Communications, Arts and Regional Research (BCARR) website.

This Dashboard supersedes the paper-based Progress in Australian Regions Yearbook publication. Datasets from previous editions of the Progress in Australian Regions Yearbook are also provided here for continuity.

Note that data for areas with very small populations should be used with caution, as small numbers can be significantly impacted by random adjustment.

This dataset is about cities in Australia and New Zealand. It has 378 rows. It features 7 columns including country, population, latitude, and longitude.

Quarterly estimates of total resident population for states, territories and Australia. Includes estimates of the population by sex in five-year age groups; numbers (and some rates) of births, deaths, infant deaths, interstate and overseas movements; quarterly and/or annual time series spreadsheets; projected resident population for states, territories and Australia; and projected number of households for capital cities, states territories and Australia.

The Indicative Australian Urban Development Risk Model (2019) predicts the risk of urban expansion for the decade 2016-2026, at a 250m cell size. It is based on extrapolating identifiable trends from 2006-2016, stratified within Australia’s 109 Significant Urban Areas and eight Greater Capital City Statistical Areas (Australian Bureau of Statistics, 2016). It has been developed, as an experimental dataset, by the Environmental Resources Information Network (ERIN), in the Commonwealth Department of the Environment and Energy, with the intent of aiding assessment of threat exposure for threatened species. Four parameters logically correlated with urban development were identified, assessed and extrapolated as individual risk values. These were then combined with equal weights in an index. Index values for all grid cells were classified into five risk classes and mapped in a spatial model which also integrates Protected Areas (minimal risk) and existing urban areas, for completeness. The model is restricted to Australia’s 109 Significant Urban Areas and eight Greater Capital City Statistical Areas. The indicative Australian Urban Development Risk Model is based on an assumption that recent-past trends in urban expansion (i.e the transition from non-urban land use to urban land use) will continue linearly, and that parameters associated with past expansion are valid predictors of future expansion. The model is underpinned by a conceptual logic, derived within ERIN, based on known datasets and their reasonable association with patterns of urbanisation. Specifically, ERIN predicts a higher urban development risk for non-urban locations with:

This dataset is about countries in Australia. It has 1 row. It features 5 columns: currency, capital city, continent, and land area.

Please note this dataset is the most recent version of the Administrative Boundaries (AB). For previous versions of the AB please go to this url: https://data.gov.au/data/dataset/previous-versions-of-the-geoscape-administrative-boundaries

Geoscape Administrative Boundaries is Australia’s most comprehensive national collection of boundaries, including government, statistical and electoral boundaries. It is built and maintained by Geoscape Australia using authoritative government data. Further information about contributors to Administrative Boundaries is available here.

This dataset comprises seven Geoscape products:

• Localities
• Local Government Areas (LGAs)
• Wards
• Australian Bureau of Statistics (ABS) Boundaries
• Electoral Boundaries
• State Boundaries and
• Town Points

Updated versions of Administrative Boundaries are published on a quarterly basis.

Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.

Notable changes in the May 2025 release

• Victorian Wards have seen almost half of the dataset change now reflecting the boundaries from the 2024 subdivision review. https://www.vec.vic.gov.au/electoral-boundaries/council-reviews/ subdivision-reviews.

  • There have been spatial changes (area) greater than 1 km2 to 66 wards in Victoria.

• One new locality ‘Kenwick Island’ has been added to the local Government area ‘Mackay Regional’ in Queensland.

  • There have been spatial changes(area) greater than 1 km2 to the local government areas 'Burke Shire' and 'Mount Isa City' in Queensland.

• There have been spatial changes(area) greater than 1 km2 to the localities ‘Nicholson’, ‘Lawn Hill’ and ‘Coral Sea’ in Queensland and ‘Calguna’, ‘Israelite Bay’ and ‘Balladonia’ in Western Australia.

• An update to the NT Commonwealth Electoral Boundaries has been applied to reflect the redistribution of the boundaries gazetted on 4 March 2025.

• Geoscape has become aware that the DATE_CREATED and DATE_RETIRED attributes in the commonwealth_electoral_polygon MapInfo TAB tables were incorrectly ordered and did not match the product data model. These attributes have been re-ordered to match the data model for the May 2025 release.

IMPORTANT NOTE: correction of issues with the 22 November 2022 release

• On 28 November 2022, the Administrative Boundaries dataset originally released on 22 November 2022 was amended and re-uploaded after Geoscape identified some issues with the original data for 'Electoral Boundaries'.
• As a result of the error, some shapefiles were published in 3D rather than 2D, which may affect some users when importing data into GIS applications.
• The error affected the Electoral Boundaries dataset, specifically the Commonwealth boundary data for Victoria and Western Australia, including 'All States'.
• Only the ESRI Shapefile formats were affected (both GDA94 and GDA2020). The MapInfo TAB format was not affected.
• Because the datasets are zipped into a single file, once the error was fixed by Geoscape all of Administrative Boundaries shapefiles had to be re-uploaded, rather than only the affected files.
• If you downloaded either of the two Administrative Boundary ESRI Shapefiles between 22 November and 28 November 2022 and plan to use the Electoral Boundary component, you are advised to download the revised version dated 28 November 2022. Apologies for any inconvenience.

Further information on Administrative Boundaries, including FAQs on the data, is available here or through Geoscape Australia’s network of partners. They provide a range of commercial products based on Administrative Boundaries, including software solutions, consultancy and support.

Note: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia.

The Australian Government has negotiated the release of Administrative Boundaries to the whole economy under an open CCBY 4.0 licence.

Users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).

Users must also note the following attribution requirements:

Preferred attribution for the Licensed Material:

Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International license (CC BY 4.0).

Preferred attribution for Adapted Material:

Incorporates or developed using Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International licence (CC BY 4.0).

What to Expect When You Download Administrative Boundaries

Administrative Boundaries is large dataset (around 1.5GB unpacked), made up of seven themes each containing multiple layers.

Users are advised to read the technical documentation including the product change notices and the individual product descriptions before downloading and using the product.

Please note this dataset is the most recent version of the Administrative Boundaries (AB). For previous versions of the AB please go to this url: https://data.gov.au/dataset/ds-dga-b4ad5702-ea2b-4f04-833c-d0229bfd689e/details?q=previous

License Information

Contains latest available estimates by age and sex of the resident populations of areas of Australia as at 30 June. These estimates are provided for Statistical Areas Level 2 - 4 (SA2s - SA4s), Greater Capital City Statistical Areas (GCCSAs), and states and territories of Australia according to the current edition of the Australian Statistical Geography Standard (ASGS). Estimates are also provided for Local Government Areas (LGAs).

This dataset is the Vulnerability Indices for Mortgage, Petroleum and Inflation Risks and Expenditure (VAMPIRE) for Australian Capital Cities for the year of 2016. The data has been calculated for each SA1 region region within the Greater Capital City regions following the 2016 Australian Statistical Geography Standard (ASGS). The VAMPIRE index is a research method developed at RMIT University's Centre for Urban Research (CUR) commissioned by AURIN. It assesses socio-economic oil price vulnerability in Australian cities based on an analysis of socio-economic indicators from the ABS. This technique has been successful in linking socio-economic data with an improved understanding of socio-spatial structure of vulnerability from rising transport and housing costs. Providing the VAMPIRE index in AURIN's existing data infrastructure will permit researchers and practitioners to access and evaluate VAMPIRE within their own local contexts. The key (and only) dataset used to construct the VAMPIRE index is ABS census data for 2016. For each census year four Basic Community Profile (BCP) variables are used: (1) median household weekly income; (2) proportion of households owning two or more vehicles; (3) proportion of people traveling to work by car; and (4) number of homes being purchased with a mortgage. For more information please view the Technical Documentation.

This dataset contains point features representing the centre of named towns and cities.

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Source: State of Queensland, https://www.data.qld.gov.au/dataset/populated-places-queensland

© State of Queensland (Department of Resources) 2023

Contains latest available estimates of the resident populations of areas of Australia as at 30 June in each year . These estimates are provided for Statistical Areas Level 2 - 4 (SA2s - SA4s), Greater Capital City Statistical Areas (GCCSAs), and states and territories of Australia according to the current edition of the Australian Statistical Geography Standard (ASGS). Estimates are also provided for Local Government Areas (LGAs), Significant Urban Areas, Remoteness Areas, and Commonwealth and State Electoral Divisions.

This information has been provided by the Australian Bureau of Statistics. For further information see www.abs.gov.au. Projected population growth of Australian capital cities (medium growth scenario), 2012-2061. From: Population projections, Australia, 2012 (base) to 2101, cat.no. 3222.0.

Data ued to produce Figure BLT2 in Built environment, SoE 2016. See https://soe.environment.gov.au/theme/built-environment/topic/2016/increased-urban-footprint#built-environment-figure-BLT2

This dataset is the Greater Capital City Statistical Area (GCCSA) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2011. For the original data and more information, refer to the Australian Bureau of Statistics' Issue. 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 Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the ABS and many others 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 an coherent set of standard regions so that they can access, visualise, analyse and understand statistics.

The Government Towns layer is a data set that reflects the official boundaries of Government Towns in South Australia as defined by the Crown Land Management Act, 2009 or preceding Acts. The polygons are based on the existing cadastral data that defines the boundaries.

This dataset is the Greater Capital City Statistical Area (GCCSA) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2016. For the original data and more information, refer to the Australian Bureau of Statistics' Issue. 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 Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the ABS and many others 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 an coherent set of standard regions so that they can access, visualise, analyse and understand statistics.

These files provide more detailed outputs from BITRE's 'Freight vehicle congestion in Australia’s five major cities - 2019' publication (see: https://www.bitre.gov.au/publications/2021/freight-vehicle-congestion-australias-five-major-cities-2019), which reported freight vehicle telematics based measures of traffic congestion for freight vehicles on 53 selected routes across Australia’s five mainland state capital cities—Sydney, Melbourne, Brisbane, Adelaide and Perth. The selected routes comprise the major motorways, highways and arterial roads within each city that service both passenger and freight vehicles.

Disclaimers: https://www.infrastructure.gov.au/disclaimers.

A dataset indicating which days from 2004 to 2022 are public holidays in the eight Australian capital cities (Adelaide, Brisbane, Canberra, Darwin, Hobart, Melbourne, Perth and Sydney). The dataset is attached in both .xlsx format and .rda format.

Each observation represent a date. Variables are included for the date, year, month, day, day of the week, name of the public holiday(s), binary markers for whether a public holiday occurs in the relevant city (1 if it does, missing otherwise), the number of capital cities where a public holiday occurs for a given day, and a binary TRUE/FALSE marker indicating if all cities have a public holiday.

Part-time holidays that only occur after 5pm, in particular New Year's Eve in some cities, are excluded. No public holidays are listed as occuring on a Sunday in Adelaide. Under the Holidays Act 1910, all Sundays are nominally public holidays in South Australia. In Hobart, public holidays were included for the Royal Hobart Regatta and Royal Hobart Show but not for Easter Tuesday; Easter Tuesday is only observed by the state public sector.

The data for each city was manually collected and combined from the state and territory government webpages included in the references. For any queries regarding this dataset, please do not hesitate to contact the author: matthew.borg@adelaide.edu.au.

This dataset is derived from data stored in Landgate’s medium scale Topographic Geodatabase (TGDB). It provides a very broad view of the states population centres. License Information Use of Fundamental Land Information published to data.wa.gov.au is subject to the conditions of a Personal Use Agreement. © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions.

With population growth in the Adelaide city centre a priority for both the Government of South Australia and the City of Adelaide, a joint research study was commissioned by the two organisations into the market for Adelaide city living. The work, undertaken by Hudson Howells in South Australia, identified key market segments for Adelaide, as well as providing insights into perceptions of Adelaide as a residential proposition, product preferences, competitor environment and relocation decision making. The research comprised four surveys and seven focus groups. Reports outlining the results of each study and the round of focus groups are available here as pdf files. Survey raw data is also provided here in excel and spss formats for use by the development community and others. In particular providing the data in spss format allows for further statistical interrogation and additional insights into the Adelaide city living market.