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A simple yet challenging project, to predict the housing price based on certain factors like house area, bedrooms, furnished, nearness to mainroad, etc. The dataset is small yet, it's complexity arises due to the fact that it has strong multicollinearity. Can you overcome these obstacles & build a decent predictive model?
Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81–102. Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.
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Average House Prices in Canada increased to 688800 CAD in October from 687600 CAD in September of 2025. This dataset includes a chart with historical data for Canada Average House Prices.
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Graph and download economic data for Housing Inventory: Median Listing Price in San Francisco-Oakland-Hayward, CA (CBSA) (MEDLISPRI41860) from Jul 2016 to Oct 2025 about San Francisco, CA, listing, median, price, and USA.
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TwitterThe average Canadian house price declined slightly in 2023, after four years of consecutive growth. The average house price stood at ******* Canadian dollars in 2023 and was forecast to reach ******* Canadian dollars by 2026. Home sales on the rise The number of housing units sold is also set to increase over the two-year period. From ******* units sold, the annual number of home sales in the country is expected to rise to ******* in 2025. British Columbia and Ontario have traditionally been housing markets with prices above the Canadian average, and both are set to witness an increase in sales in 2025. How did Canadians feel about the future development of house prices? When it comes to consumer confidence in the performance of the real estate market in the next six months, Canadian consumers in 2024 mostly expected that the market would go up. A slightly lower share of the respondents believed real estate prices would remain the same.
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House Price Index YoY in the United States decreased to 1.70 percent in September from 2.40 percent in August of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.
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TwitterIn December 2024, the average house price in England was pricier than in any other country. This considerable disparity in average house prices is in no small part down to the country's capital city, where the average asking price was more than double that of the UK’s average. Even in London, for those who can afford a mortgage, the savings made through buying over renting can be beneficial. What drives house prices? Average house prices are affected by several factors, including economic growth, unemployment, and interest rates. Housing supply also plays a considerable role, with a shortage of supply leading to increased competition and an upward push in prices. Conversely, an excess of housing means prices fall to stimulate buyers. House prices still set to grow The housing market in the UK is expected to continue to grow in the next years. By 2029,.the annual number of housing transactions is set to reach *** million. With transactions on the rise, the average house price is also set to rise.
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Median Home Sale Price: All Residential: Bridgeport, CT data was reported at 493.000 USD th in Jul 2020. This records an increase from the previous number of 485.000 USD th for Jun 2020. Median Home Sale Price: All Residential: Bridgeport, CT data is updated monthly, averaging 385.000 USD th from Feb 2015 (Median) to Jul 2020, with 66 observations. The data reached an all-time high of 493.000 USD th in Jul 2020 and a record low of 336.000 USD th in Feb 2019. Median Home Sale Price: All Residential: Bridgeport, CT data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB056: Median Home Sale Price: by Metropolitan Areas.
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Graph and download economic data for Housing Inventory: Average Listing Price in New Jersey (AVELISPRINJ) from Jul 2016 to Oct 2025 about NJ, average, listing, price, and USA.
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This dataset contains 2,000 entries of house price data from all states in Malaysia, providing a comprehensive overview of the country’s real estate market for 2025. Sourced from Brickz, a trusted platform for property transaction insights, it includes detailed information such as property location, tenure, type, median prices, and transaction counts. This dataset is ideal for real estate market analysis, predictive modeling, and exploring trends across Malaysia’s diverse property market.
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Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q2 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.
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Graph and download economic data for All-Transactions House Price Index for Colorado (COSTHPI) from Q1 1975 to Q3 2025 about CO, appraisers, HPI, housing, price index, indexes, price, and USA.
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TwitterWhat is the average price of residential property in the Netherlands? In the third quarter of 2025, a single-family home cost approximately 568,000 euros. There were large differences between the Dutch provinces, however. Single-family homes were most expensive in the central province of Utrecht, with an average price of 778,000 euros, whereas a similar house in Zeeland had an average price tag of 390,000 euros. Overall, the average price a private individual would pay when buying any type of existing residential property (such as single-family homes but also, for example, an apartment) was approximately 416,000 euros in 2023. Do the Dutch prefer to buy or to rent a house? The Netherlands had a slightly higher homeownership rate (the share of owner-occupied dwellings of all homes) in 2024 than other countries in Northwestern Europe. About 69 percent of all Dutch houses were owned, whereas this percentage was lower in Germany, France, and the United Kingdom. This is an effect of past developments: the price to rent ratio (the development of the nominal purchase price of a house divided by the annual rent of a similar place with 2015 as a base year) shows that the gap between house prices and rents has continuously widened in recent years. Despite a slight decline in the ratio due to slowing house price growth and accelerating rental growth, in 2023, the cost of buying a home had grown significantly faster relative to the cost of renting. Mortgages in the Netherlands Additionally, the Netherlands has one of the highest mortgage debts among private individuals in Europe. In 2025, total debt exceeded 868 billion euros. This has a political background, as the Dutch tax system allowed homeowners for many years to deduct interest paid on mortgages from pre-tax income for a maximum period of thirty years, essentially allowing for income support for homeowners. In the Netherlands, this system is known as hypotheekrenteaftrek. Note that since 2014, the Dutch government has been slowly scaling this down, with a planned acceleration from 2020 onwards.
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TwitterHome prices in the U.S. reach new heights The American housing market continues to show remarkable resilience, with the S&P/Case Shiller U.S. National Home Price Index reaching an all-time high of 331.69 in June 2025. This figure represents a significant increase from the index value of 166.23 recorded in January 2015, highlighting the substantial growth in home prices over the past decade. The S&P Case Shiller National Home Price Index is based on the prices of single-family homes and is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The S&P Case Shiller National Home Price Index series also includes S&P/Case Shiller 20-City Composite Home Price Index and S&P/Case Shiller 10-City Composite Home Price Index – measuring the home price changes in the major U.S. metropolitan areas, as well as twenty composite indices for the leading U.S. cities. Market fluctuations and recovery Despite the overall upward trend, the housing market has experienced some fluctuations in recent years. During the housing boom in 2021, the number of existing home sales reached the highest level since 2006. However, transaction volumes quickly plummeted, as the soaring interest rates and out-of-reach prices led to housing sentiment deteriorating. Factors influencing home prices Several factors have contributed to the rise in home prices, including a chronic supply shortage, the gradual decline in interest rates, and the spike in demand during the COVID-19 pandemic. During the subprime mortgage crisis (2007-2010), the construction of new homes declined dramatically. Although it has gradually increased since then, the number of new building permits, home starts, and completions are still shy from the levels before the crisis. With demand outweighing supply, competition for homes can be fierce, leading to bidding wars and soaring prices. The supply of existing homes is further constrained, as homeowners are less likely to sell and move homes due to the worsened lending conditions.
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Key information about House Prices Growth
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This dataset was obtained from the StatLib repository: https://www.dcc.fc.up.pt/~ltorgo/Regression/cal_housing.html
The target variable is the median house value for California districts, expressed in hundreds of thousands of dollars ($100,000).
This dataset was derived from the 1990 U.S. census, using one row per census block group. A block group is the smallest geographical unit for which the U.S. Census Bureau publishes sample data (a block group typically has a population of 600 to 3,000 people).
A household is a group of people residing within a home. Since the average number of rooms and bedrooms in this dataset are provided per household, these columns may take surprisingly large values for block groups with few households and many empty houses, such as vacation resorts.
The dataset can also be downloaded/loaded using the sklearn.datasets.fetch_california_housing function.
Pace, R. Kelley and Ronald Barry, Sparse Spatial Autoregressions, Statistics and Probability Letters, 33 (1997) 291-297
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TwitterThe S&P Case Shiller Portland Home Price Index has increased steadily in recent years. The index measures changes in the prices of existing single-family homes. The index value was equal to 100 as of January 2000, so if the index value is equal to *** in a given month, for example, it means that the house prices have increased by ** percent since 2000. The value of the S&P Case Shiller Portland Home Price Index amounted to ***** in August 2024. That was higher the national average.
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TwitterGeneva stands out as Europe's most expensive city for apartment purchases in early 2025, with prices reaching a staggering 15,720 euros per square meter. This Swiss city's real estate market dwarfs even high-cost locations like Zurich and London, highlighting the extreme disparities in housing affordability across the continent. The stark contrast between Geneva and more affordable cities like Nantes, France, where the price was 3,700 euros per square meter, underscores the complex factors influencing urban property markets in Europe. Rental market dynamics and affordability challenges While purchase prices vary widely, rental markets across Europe also show significant differences. London maintained its position as the continent's priciest city for apartment rentals in 2023, with the average monthly costs for a rental apartment amounting to 36.1 euros per square meter. This figure is double the rent in Lisbon, Portugal or Madrid, Spain, and substantially higher than in other major capitals like Paris and Berlin. The disparity in rental costs reflects broader economic trends, housing policies, and the intricate balance of supply and demand in urban centers. Economic factors influencing housing costs The European housing market is influenced by various economic factors, including inflation and energy costs. As of April 2025, the European Union's inflation rate stood at 2.4 percent, with significant variations among member states. Romania experienced the highest inflation at 4.9 percent, while France and Cyprus maintained lower rates. These economic pressures, coupled with rising energy costs, contribute to the overall cost of living and housing affordability across Europe. The volatility in electricity prices, particularly in countries like Italy where rates are projected to reach 153.83 euros per megawatt hour by February 2025, further impacts housing-related expenses for both homeowners and renters.
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Average House Price
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TwitterDespite a slowdown in the country's economy, property prices remained relatively high across China in 2023. In Shanghai, the average prices for residential housing exceeded ****** yuan per square meter, making the metropolis one of the most expensive cities to live in globally. Meanwhile, many less developed regions, such as the provinces of Guizhou, Gansu, and Guangxi, had average housing prices below ***** yuan per square meter. High property prices in major cities The commodification of real estate in the 1990s led to a rapid rise in property prices across China over the last three decades. Between 1998 and 2023, average property prices in China ************************* to more than ****** yuan per square meter. The cost of housing in core areas of major urban centers such as Shenzhen, Shanghai, and Beijing can often reach unaffordable levels, even for the middle class. Key drivers behind the housing price rise Due to the regional disparities in the country, China's rapid urbanization resulted in a high influx of internal migrants into its eastern cities, resulting in a short housing supply across many regions. At the same time, due to China's unique land and tax system, local governments are often highly dependent on land transfer revenues for their finances. As a result, many regional authorities tend to restrict the supply of available land in the market, further exacerbating property price rises across the country.
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Key information about House Prices Growth
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A simple yet challenging project, to predict the housing price based on certain factors like house area, bedrooms, furnished, nearness to mainroad, etc. The dataset is small yet, it's complexity arises due to the fact that it has strong multicollinearity. Can you overcome these obstacles & build a decent predictive model?
Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81–102. Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.