In 2025, Airbnbs in the Mornington Peninsula area of Victoria, Australia, had the highest average daily rates across the Australian cities and regions represented, with an average daily rate of around *** Australian dollars. Airbnbs in Noosa Heads and Shoalhaven had the next highest daily rates that year.

In June 2025, the Australian city of Melbourne had a rental property vacancy rate of *** percent. In contrast, the rental property vacancy rate in Darwin was estimated at *** percent in the same month.

In 2025, Airbnbs in Perth, Western Australia, had the highest average occupancy rates across the Australian cities and regions represented, with an average occupancy of around ** percent. Airbnbs in the Surfers Paradise, Brisbane, and Gold Coast areas had the next highest occupancy rates that year.

Urban population (% of total population) in Australia was reported at 86.75 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Urban population (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

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

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Unemployment Rate in Australia decreased to 4.20 percent in July from 4.30 percent in June of 2025. This dataset provides - Australia Unemployment Rate at 5.8% in December - actual values, historical data, forecast, chart, statistics, economic calendar and news.

As of December 2024, the Australian city or region with the highest hotel occupancy rate was Perth, with an occupancy rate of ** percent. Darwin had the lowest hotel occupancy rate at ** percent of hotel rooms occupied.

This web map contains layers that contain 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.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/datapacksGlossary terms and definitions of classifications can be found in the 2021 Census DictionaryMore information about Census data products is available at https://www.abs.gov.au/census/guide-census-data/about-census-tools/datapacksDetailed 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 StatusIn 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 AssistanceMeasures 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 VehiclesExcludes 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

The dataset "aus_real_estate.csv" encapsulates comprehensive real estate information pertaining to Australia, showcasing diverse attributes essential for property assessment and market analysis. This dataset, comprising 5000 entries across 10 distinct columns, offers a detailed portrayal of various residential properties in cities across Australia.

The dataset encompasses crucial factors influencing property valuation and purchase decisions. The 'Price' column represents the property's cost, spanning a range between $100,000 and $2,000,000. Attributes such as 'Bedrooms' and 'Bathrooms' highlight the accommodation specifics, varying from one to five bedrooms and one to three bathrooms, respectively. 'SqFt' denotes the square footage of the properties, varying between 800 and 4000 square feet, elucidating their size and spatial dimensions.

The 'City' column encompasses major Australian urban centers, including Sydney, Melbourne, Brisbane, Perth, and Adelaide, delineating the geographical distribution of the properties. 'State' further categorizes the locations into New South Wales (NSW), Victoria (VIC), Queensland (QLD), Western Australia (WA), and South Australia (SA).

The dataset encapsulates temporal information through the 'Year_Built' attribute, spanning from 1950 to 2023, providing insights into the age and vintage of the properties. Moreover, property types are delineated within the 'Type' column, encompassing variations such as 'Apartment,' 'House,' and 'Townhouse.' The binary 'Garage' column signifies the presence (1) or absence (0) of a garage, while 'Lot_Area' provides an understanding of the land area, ranging from 1000 to 10,000 square feet.

This dataset offers a comprehensive outlook into the Australian real estate landscape, facilitating multifaceted analyses encompassing property valuation, market trends, and regional preferences. Its diverse attributes make it a valuable resource for researchers, analysts, and stakeholders within the real estate domain, enabling robust investigations and informed decision-making processes regarding property investments and market dynamics in Australia.

Key information about House Prices Growth

• Australia house prices grew 2.9% YoY in Dec 2024, following an increase of 5.8% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Sep 2004 to Dec 2024, with an average growth rate of 5.8%.
• House price data reached an all-time high of 24.1% in Dec 2021 and a record low of -6.1% in Mar 2019.

CEIC calculates quarterly House Price Index Growth from quarterly Residential Dwellings: Mean Price of Eight Capital Cities. The Australian Bureau of Statistics provides Residential Dwellings: Mean Price of Eight Capital Cities in local currency. House Price Index Growth prior to Q3 2012 is calculated from Residential Property Price Index: Weighted Average of Eight Capital Cities.

Australia Consumer Price Index (CPI): Brisbane: Housing: Other: Property Rates & Charges data was reported at 164.200 2011-2012=100 in Mar 2025. This stayed constant from the previous number of 164.200 2011-2012=100 for Dec 2024. Australia Consumer Price Index (CPI): Brisbane: Housing: Other: Property Rates & Charges data is updated quarterly, averaging 100.000 2011-2012=100 from Jun 1998 (Median) to Mar 2025, with 108 observations. The data reached an all-time high of 164.200 2011-2012=100 in Mar 2025 and a record low of 56.900 2011-2012=100 in Jun 1998. Australia Consumer Price Index (CPI): Brisbane: Housing: Other: Property Rates & Charges data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.I007: Consumer Price Index: 2011-12=100: Eight Capital Cities.

BackgroundPoor access to health services is a significant barrier to achieving the World Health Organization’s hepatitis C virus (HCV) elimination targets. We demonstrate how geospatial analysis can be performed with commonly available data to identify areas with the greatest unmet demand for HCV services.MethodsWe performed an Australia-wide cross-sectional analysis of 2015 HCV notification rates using local government areas (LGAs) as our unit of analysis. A zero-inflated negative binomial regression was used to determine associations between notification rates and socioeconomic/demographic factors, health service and geographic remoteness area (RA) classification variables. Additionally, component scores were extracted from a principal component analysis (PCA) of the healthcare service variables to provide rankings of relative service coverage and unmet demand across Australia.ResultsAmong LGAs with non-zero notifications, higher rates were associated with areas that had increased socioeconomic disadvantage, more needle and syringe services (incidence rate ratio [IRR] 1.022; 95%CI 1.001, 1.044) and more alcohol and other drug services (IRR 1.019; 1.005, 1.034). The distribution of PCA component scores indicated that per-capita healthcare service coverage was lower in areas outside of major Australian cities. Areas outside of major cities also contained 94% of LGAs in the lowest two socioeconomic quintiles, as well as 35% of HCV notifications despite only representing 29% of the population.ConclusionsAs countries aim for HCV elimination, routinely collected data can be used to identify geographical areas for priority service delivery. In Australia, the unmet demand for HCV treatment services is greatest in socioeconomically disadvantaged and non-metropolitan areas.

This dataset is available on Brisbane City Council’s open data website – data.brisbane.qld.gov.au. The site provides additional features for viewing and interacting with the data and for downloading the data in various formats.

The Brisbane Community Profiles provide detailed statistical information for Greater Brisbane and Brisbane City using information from the Australian Bureau of Statistics, Commonwealth and Queensland Government sources.

Profiles are generated using the latest demographic, social and economic data to gather information about the people who live in an area (Resident Profile) the workers and businesses that operate in the area (Workforce Profile) or how the area has changed over time (Time Series Profile).

The Data and resources section of this dataset contains further information for this dataset.

To select and view data use the link in the Data and resources section below.

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.

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 If you have questions or feedback about this web service, please email geography@abs.gov.au. To subscribe to updates about ABS web services and geospatial products, please complete this form. For information about how the ABS manages any personal information you provide view the ABS privacy policy.

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

Since the 1960s, Australia's urbanization rate has consistently been above 80 percent, and in 2024 it has reached its highest ever rate at 86.75 percent. Historically, Australia has been one of the most urbanized countries in the world, due to high rates of immigration since the 20th century, which were generally to coastal, urban areas. However, despite its high urbanization rate, Australia is among the largest countries in the world; therefore its population density is among the lowest in the world.

The Local Government Administration industry faced challenging conditions from 2019-20 to 2021-22 due to issues presented by the pandemic. Demand for ancillary services like gyms and swimming pools plummeted, hindering local governments' ability to generate revenue from user-based charges, like service fees and fines. Despite a recovery in demand since restrictions were lifted, local governments have continued to face intense competition from private sector competitors. Rife inflation in the Australian economy has constrained local governments' ability to increase their revenue. The cost-of-living crisis has added another layer of consideration for local governments contemplating policy changes, as councillors try to avoid voter backlash at local council elections. The Victorian and New South Wales state governments have also enforced rate caps, limiting local authorities' power to increase household rates in line with high inflation. Despite an industrywide revenue decline, local governments have managed to expand their operating margins thanks to increased funding from upstream government grants and subsidies, as well as from outsourcing services, which has lowered wage costs. Revenue is expected to have crept downwards at an annualised 0.2% over the five years through 2024-25, to $61.4 billion. This trend includes an anticipated drop of 1.3% in 2024-25. Improvements in Australian economic conditions are forecast to foster revenue growth in the coming years. Rising economic activity is set to benefit local governments, as increased tax income in upstream government bodies places upwards pressure on funding and grants for local governments around the country. While increased consumer spending and government funding promise higher revenue, local governments’ not-for-profit nature is likely to escalate capital expenditure, driving up depreciation costs and pressuring operating margins over the next five years. The number of local governments is projected to remain stable due to the absence of planned council amalgamations. However, population growth trends may dictate future council mergers or demergers. Overall, industry revenue is forecast to grow at an annualised 2.2% over the five years through 2029-30, to total $68.5 billion.

Australia Consumer Price Index (CPI): Sydney: Housing: Other: Property Rates & Charges data was reported at 156.200 2011-2012=100 in Mar 2025. This stayed constant from the previous number of 156.200 2011-2012=100 for Dec 2024. Australia Consumer Price Index (CPI): Sydney: Housing: Other: Property Rates & Charges data is updated quarterly, averaging 100.000 2011-2012=100 from Jun 1998 (Median) to Mar 2025, with 108 observations. The data reached an all-time high of 156.200 2011-2012=100 in Mar 2025 and a record low of 56.700 2011-2012=100 in Jun 1998. Australia Consumer Price Index (CPI): Sydney: Housing: Other: Property Rates & Charges data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.I007: Consumer Price Index: 2011-12=100: Eight Capital Cities.

Australia Consumer Price Index (CPI): Melbourne: Housing: Other: Property Rates & Charges data was reported at 179.800 2011-2012=100 in Mar 2025. This stayed constant from the previous number of 179.800 2011-2012=100 for Dec 2024. Australia Consumer Price Index (CPI): Melbourne: Housing: Other: Property Rates & Charges data is updated quarterly, averaging 100.000 2011-2012=100 from Jun 1998 (Median) to Mar 2025, with 108 observations. The data reached an all-time high of 179.800 2011-2012=100 in Mar 2025 and a record low of 39.800 2011-2012=100 in Jun 1998. Australia Consumer Price Index (CPI): Melbourne: Housing: Other: Property Rates & Charges data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.I007: Consumer Price Index: 2011-12=100: Eight Capital Cities.

This report analyses the value of the consumer price index (CPI). The CPI measures the price of a basket of goods consumed by the average Australian, and is the standard measure of the rate of inflation in Australia. Indexes are calculated for each of the capital cities and are then combined as a weighted average to obtain a nationwide value. This report uses the average quarterly value of the index over each financial year. The data for this report is sourced from the Australian Bureau of Statistics and is measured in points, with a base of 100.0 points in 2011-12.