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This housing dataset provides a thorough analysis of the current state of the housing market. It includes information on housing prices, availability, and key trends, allowing you to gain a better understanding of the market and make informed decisions. Whether you're a homebuyer, investor, or simply interested in the state of the housing market, this dataset has valuable insights to offer.
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Graph and download economic data for Real Residential Property Prices for Australia (QAUR628BIS) from Q1 1970 to Q2 2025 about Australia, residential, HPI, housing, real, price index, indexes, and price.
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TwitterThe average price of Australian residential property has risen over the past ten years, and in June 2025, it reached over one million Australian dollars. Nonetheless, property experts in Australia have indicated that the country has been in a property bubble over the past decade, with some believing the market will collapse sometime in the near future. Property prices started declining in 2022; however, a gradual upward trend was witnessed throughout 2023, with minor fluctuations in 2024. Australian capital city price differences While the national average residential property price has exhibited growth, individual capital cities display diverse trends, highlighting the complexity of Australia’s property market. Sydney maintains its position as the most expensive residential property market across Australia's capital cities, with a median property value of approximately 1.19 million Australian dollars as of April 2025. Brisbane has emerged as an increasingly pricey capital city for residential property, surpassing both Canberra and Melbourne in median housing values. Notably, Perth experienced the most significant annual increase in its average residential property value, with a 10 percent increase from April 2024, despite being a comparably more affordable market. Hobart and Darwin remain the most affordable capital cities for residential properties in the country. Is the homeownership dream out of reach? The rise in property values coincides with the expansion of Australia's housing stock. In the June quarter of 2025, the number of residential dwellings reached around 11.37 million, representing an increase of about 53,600 dwellings from the previous quarter. However, this growth in housing supply does not necessarily translate to increased affordability or accessibility for many Australians. The country’s house prices remain largely disproportional to income, leaving the majority of low- and middle-income earners priced out of the market. Alongside this, elevated mortgage interest rates in recent years have made taking out a loan increasingly unappealing for many potential property owners, and the share of mortgage holders at risk of mortgage repayment stress has continued to climb.
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Median prices for dwellings/townhouses, and apartments by their year of settlement for the City of Melbourne.
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TwitterSydney had the highest median house value compared to other capital cities in Australia as of April 2025, with a value of over **** million Australian dollars. Brisbane similarly had relatively high average residential housing values, passing Canberra and Melbourne to top the pricing markets for real estate across the country alongside Sydney. Housing affordability in Australia Throughout 2024, the average price of residential dwellings remained high across Australia, with several capital cities breaking price records. Rising house prices continue to be an issue for potential homeowners, with many low- and middle-income earners priced out of the market. In the fourth quarter of 2024, Australia’s house price-to-income ratio declined slightly to ***** index points. With the share of household income spent on mortgage repayments increasing alongside the disparity in supply and demand, inflating construction costs, and low borrowing capacity, the homeownership dream has become an unattainable prospect for the average person in Australia. Does the rental market offer better prospects? Renting for prolonged periods has become inevitable for many Australians due to the country’s largely inaccessible property ladder. However, record low vacancy rates and elevated median weekly house and unit rent prices within Australia’s rental market are making renting a less appealing prospect. In financial year 2024, households in the Greater Sydney metropolitan area reported spending around ** percent of their household income on rent.
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Housing Index in Australia increased to 183.90 points in the fourth quarter of 2021 from 175.60 points in the third quarter of 2021. This dataset provides the latest reported value for - Australia House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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The data provided is a set of property sales in the suburb of Abbotsford, Victoria, Australia. It includes details such as the address, number of rooms, property type, price, method of sale, and seller information, as well as information on the property's location and characteristics, such as distance from the city center, postcode, bedroom and bathroom count, car spaces, land size, building area, year built, council area, latitude and longitude, region name, and property count.
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Graph and download economic data for All-Transactions House Price Index for Palm Bay-Melbourne-Titusville, FL (MSA) (ATNHPIUS37340Q) from Q4 1979 to Q2 2025 about Palm Bay, appraisers, FL, HPI, housing, price index, indexes, price, and USA.
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TwitterThe average price of Australian residential property has risen over the past ten years, and in December 2024, it reached 976,800 Australian dollars. Nonetheless, property experts in Australia have indicated that the country has been in a property bubble over the past decade, with some believing the market will collapse sometime in the near future. Property prices started declining in 2022; however, a gradual upward trend was witnessed throughout 2023, with minor fluctuations in 2024. Australian capital city price differences While the national average residential property price has exhibited growth, individual capital cities display diverse trends, highlighting the complexity of Australia’s property market. Sydney maintains its position as the most expensive residential property market across Australia's capital cities, with a median property value of approximately 1.19 million Australian dollars as of April 2025. Brisbane has emerged as an increasingly pricey capital city for residential property, surpassing both Canberra and Melbourne in median housing values. Notably, Perth experienced the most significant annual increase in its average residential property value, with a 10 percent increase from April 2024, despite being a comparably more affordable market. Hobart and Darwin remain the most affordable capital cities for residential properties in the country. Is the homeownership dream out of reach? The rise in property values coincides with the expansion of Australia's housing stock. In the December quarter of 2024, the number of residential dwellings reached around 11.29 million, representing an increase of about 53,200 dwellings from the previous quarter. However, this growth in housing supply does not necessarily translate to increased affordability or accessibility for many Australians. The country’s house prices remain largely disproportional to income, leaving the majority of low- and middle-income earners priced out of the market. Alongside this, elevated mortgage interest rates in recent years have made taking out a loan increasingly unappealing for many potential property owners, and the share of mortgage holders at risk of mortgage repayment stress has continued to climb.
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Median prices for dwellings/townhouses, and apartments by their year of settlement for the City of Melbourne by CLUE Small area.
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Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet Year-Over-Year in Palm Bay-Melbourne-Titusville, FL (CBSA) (MEDLISPRIPERSQUFEEYY37340) from Jul 2017 to Oct 2025 about Palm Bay, square feet, FL, listing, median, price, and USA.
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There's a story behind every dataset and here's your opportunity to share yours.
What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.
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TwitterUrban housing location and locational amenities play an important role in median house price distribution and growth among the suburbs of many metropolitan cities in developed countries, such as Australia. In particular, distance from the central business district (CBD) and access to the transport network plays a vital role in house price distribution and growth over various suburbs in a city. However, Australian metropolitan cities have experienced increases in housing prices by up to 120% over the last 20 years, and the growth pattern was different across all suburbs in a city, such as in Melbourne. Therefore, this study examines the impacts of locational amenities on house price changes across various suburbs in Melbourne over the three census periods of 2006, 2011, and 2016, and suggests some strategic guidelines to improve the availability and accessibility of locational amenities in the suburbs with less concentrated amenities.
This study chose three Local Government Areas (LGAs) of Maribyrnong, Brimbank and Wyndham in Melbourne. Each LGA has been selected as a case study because many low-income people live in these LGAs’ areas. Further, some suburbs of these LGAs have maintained similar housing prices for an extended time, while some have not.
The study applied a quantitative spatial methodology to examine the housing price distribution and growth patterns by evaluating the concentration and accessibility of locational urban amenities using GIS-based techniques and a spatial data set. The spatial data analyses were performed by spatial statistics methods to measure central tendency, Local Moran’s I of LISA clustering, Kernel Density Estimation (KDE), Kernel Density Smoothing (KDS). These tests were used to find the patterns of house price distribution and growth. The study also identified the accessibility of amenities in relation to median house price distribution and growth. Spatial Autoregressive Regression (SAR), Spatial Lag, and Spatial Errors models were used to identify the spatial dependencies to test the statistical significance between the median house price and the concentration and access of local urban amenities over the three census years.
This study found three median house price distribution and growth patterns among the suburbs in the three selected LGAs. There are growth differences in the median house price for different census years between 2006 and 2011, 2011 and 2016, and 2006 and 2016. The Low-High (LH) median house price distribution clusters between 2006 and 2011 became High-High (HH) clusters between the census years 2011 and 2016, and 2006 and 2016. The median house price growth rate increased significantly in the census years between 2006 and 2011. Most of the HH median house price distribution and growth clusters’ tendencies were closer to the Melbourne CBD. On the other hand, the Low-Low (LL) distribution and growth clusters were closer to Melbourne’s periphery. The suburbs located further away had low access to amenities. The HH median house price clusters are located closer to stations and educational institutes. Better access to locational amenities led to more significant HH median house price clusters, as the median house price increased at an increasing rate between 2011 and 2016. The HH median house price clusters recorded more growth between 2006 and 2016. The suburbs with train stations had better access to most other locational amenities. Almost all HH median house price clusters had train stations with higher access to amenities.
There was a consistent relationship between median house price distribution, growth patterns, and locational urban amenities. The spatial lag and spatial error model tests showed that between 2006 and 2011, and 2006 and 2016, there were differences in the amenities. Still, these did not affect the outcomes in observations, and were related only to immeasurable factors for some reason. Therefore, the higher house price in the neighbouring suburb could increase the price in that suburb. The research also found from the regression analysis that highly significant amenities confirming travel time to the CBD by bus, and distance to the CBD, were negatively related in all three previous census years. This negative relationship estimates that the house price growth is lower when the distance is longer. Due to this travel to the CBD by bus is not a popular option for households. The train stations are essential for high house price growth. The house price growth is low when homes are further away from train stations and workplaces.
This thesis has three contributions. Firstly, it uses the Rational Choice Theory (RCT), providing a theoretical basis for analysing households’ mutually interdependent preferences of urban amenities that are found to regulate house price growth clusters. Secondly, the methodological contribution uses the GIS-defined cluster mapping and spatial statistics in queries and reasoning, measurements, transformations, descriptive summaries, optimisation, and hypothesis testing models between house price distribution and growth, and access to urban locational amenities. Thirdly, this research contributes to designing practical guidelines to identify local urban amenities for planning local area development.
Overall, this thesis demonstrates that the median house price distribution and growth patterns are highly correlated with the concentration and accessibility of locational urban amenities among the suburbs in three selected LGAs in Melbourne over the three census years (i.e., 2006, 2011, and 2016). The findings bring to the fore the need for research at the local and state levels to identify specific amenities relevant to the middle-class house distribution strategy, which can be helpful for investors, estate agents, town planners, and builders as partners for effective local development. The future study might use social, psychological, and macroeconomic variables not considered or used in this research.
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Median prices for dwellings/townhouses, and apartments by their year of sale for the City of Melbourne.
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Context
Melbourne real estate is BOOMING. Can you find the insight or predict the next big trend to become a real estate mogul… or even harder, to snap up a reasonably priced 2-bedroom unit?
It was scraped from publicly available results posted every week from Domain.com.au. He cleaned it well, and now it's up to you to make data analysis magic. The dataset includes Address, Type of Real estate, Suburb, Method of Selling, Rooms, Price, Real Estate Agent, Date of Sale and distance from C.B.D.
Notes on Specific Variables Rooms: Number of rooms
Price: Price in dollars
Method: S - property sold; SP - property sold prior; PI - property passed in; PN - sold prior not disclosed; SN - sold not disclosed; NB - no bid; VB - vendor bid; W - withdrawn prior to auction; SA - sold after auction; SS - sold after auction price not disclosed. N/A - price or highest bid not available.
Type: br - bedroom(s); h - house,cottage,villa, semi,terrace; u - unit, duplex; t - townhouse; dev site - development site; o res - other residential.
SellerG: Real Estate Agent
Date: Date sold
Distance: Distance from CBD
Regionname: General Region (West, North West, North, North east …etc)
Propertycount: Number of properties that exist in the suburb.
Bedroom2 : Scraped # of Bedrooms (from different source)
Bathroom: Number of Bathrooms
Car: Number of carspots
Landsize: Land Size
BuildingArea: Building Size
CouncilArea: Governing council for the area
Acknowledgements This is intended as a static (unchanging) snapshot of https://www.kaggle.com/anthonypino/melbourne-housing-market. It was created in September 2017. Additionally, homes with no Price have been removed.
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Explore Melbourne, FL rental market 2025. The average long-term prices $1,911 and short-term $2,205, with trends shaping housing in a city of 85,718 residents.
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TwitterIn the metropolitan area of Melbourne, Australia, the preliminary median sales price of units or apartments was approximately ******* Australian dollars in the year 2025. In 2024, the median price for units or apartments was about ******* Australian dollars.
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Melbourne Housing Market (Cleaned)
This dataset is a cleaned and enhanced version of the original Melbourne Housing Market dataset by Anthony Pino, licensed under CC BY-NC-SA 4.0. It has been preprocessed to facilitate exploratory data analysis and house price prediction modeling.
Key Improvements
1) Cleaned Missing Data: Removed missing and null values to ensure data integrity.
2) Outlier Removal: Eliminated unrealistic price and land size outliers to better reflect Melbourne's housing market.
3) Data Type Optimization: Converted Date and BuiltYear columns from float to appropriate datetime formats for easier analysis.
Acknowledgments
This dataset is derived from the original work by Anthony Pino, available here. Please credit the original source when using this dataset.
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TwitterAs a Data scientist, who yearns to experiment, learn and explore different techniques applied in this field, one cannot overlook the importance of application of Exploratory Data Analysis on various datasets out there.
This housing dataset provides a thorough analysis of the current state of the housing market. It includes information on housing prices, availability, and key trends, allowing you to gain a better understanding of the market and make informed decisions. Whether you're a homebuyer, investor, or simply interested in the state of the housing market, this dataset has valuable insights to offer.