Housing Index in Singapore increased to 210.70 points in the first quarter of 2025 from 209.40 points in the fourth quarter of 2024. This dataset provides the latest reported value for - Singapore Property Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Real Residential Property Prices for Singapore (QSGR628BIS) from Q1 1998 to Q2 2025 about Singapore, residential, HPI, housing, real, price index, indexes, and price.

As of the fourth quarter of 2024, the private residential property price index was at *****, which means that private residential property prices increased by ***** percent since the first quarter of 2009. The index shows how the house prices changed in those years, compared to the base value from the first quarter of 2009, when the index value was equal to 100.

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.

Dataset from Urban Redevelopment Authority. For more information, visit https://data.gov.sg/datasets/d_f65e490a8ad430f60a9a3d9df2bff2a0/view

This dataset comes from Zillow and provides a comprehensive look at U.S. housing market trends from 2018 to May 2024. It includes detailed data on median home values, average days outstanding for property sales, and their impact on reducing prices in several cities. This dataset is ideal for analyzing the correlation between home values, time to market, and price adjustments, offering valuable insights for real estate professionals, economists, and data analysts interested in the dynamics of the U.S. housing market.

About the license, taken from the Zillow website:

“For research and academic projects, we provide the following metrics that have more flexible Terms of Use regarding data storage and manipulation – https://www.zillow.com/research/data/”

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Description:

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?

Acknowledgement:

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.

Objective:

• Understand the Dataset & cleanup (if required).
• Build Regression models to predict the sales w.r.t a single & multiple feature.
• Also evaluate the models & compare thier respective scores like R2, RMSE, etc.

Housing Index in Hong Kong increased to 143.46 points in November 23 from 142.49 points in the previous week. This dataset provides - Hong Kong House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Housing Index in Sweden increased to 959 points in the third quarter of 2025 from 945 points in the second quarter of 2025. This dataset provides - Sweden House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Housing Index in the United States decreased to 435.40 points in September from 435.60 points in August of 2025. This dataset provides the latest reported value for - United States House Price Index MoM Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Housing Index in Japan increased to 140.54 points in September from 137.89 points in August of 2025. This dataset provides - Japan Construction Starts - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Housing Index in Indonesia increased to 109.65 points in the fourth quarter of 2024 from 109.44 points in the third quarter of 2024. This dataset provides - Indonesia Housing Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Dataset from Urban Redevelopment Authority. For more information, visit https://data.gov.sg/datasets/d_c0c26484c655113b0ab5abaa0a49952b/view

Key information about House Prices Growth

• Singapore house prices grew 3.9% YoY in Dec 2024, following an increase of 4.4% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1976 to Dec 2024, with an average growth rate of 4.9%.
• House price data reached an all-time high of 102.0% in Mar 1981 and a record low of -34.0% in Dec 1998.

Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

Singapore Property Price Index: Private Residential (PR): All data was reported at 211.100 1Q2009=100 in Mar 2025. This records an increase from the previous number of 209.400 1Q2009=100 for Dec 2024. Singapore Property Price Index: Private Residential (PR): All data is updated quarterly, averaging 87.600 1Q2009=100 from Mar 1975 (Median) to Mar 2025, with 201 observations. The data reached an all-time high of 211.100 1Q2009=100 in Mar 2025 and a record low of 8.900 1Q2009=100 in Mar 1975. Singapore Property Price Index: Private Residential (PR): All data remains active status in CEIC and is reported by Urban Redevelopment Authority. The data is categorized under Global Database’s Singapore – Table SG.EB002: Property Price Index. [COVID-19-IMPACT]

Description:

This dataset contains prices of New York houses, providing valuable insights into the real estate market in the region. It includes information such as broker titles, house types, prices, number of bedrooms and bathrooms, property square footage, addresses, state, administrative and local areas, street names, and geographical coordinates.

Key Features:

• BROKERTITLE: Title of the broker
• TYPE: Type of the house
• PRICE: Price of the house
• BEDS: Number of bedrooms
• BATH: Number of bathrooms
• PROPERTYSQFT: Square footage of the property
• ADDRESS: Full address of the house
• STATE: State of the house
• MAIN_ADDRESS: Main address information
• ADMINISTRATIVE_AREA_LEVEL_2: Administrative area level 2 information
• LOCALITY: Locality information
• SUBLOCALITY: Sublocality information
• STREET_NAME: Street name
• LONG_NAME: Long name
• FORMATTED_ADDRESS: Formatted address
• LATITUDE: Latitude coordinate of the house
• LONGITUDE: Longitude coordinate of the house

Potential Use Cases:

• Price analysis: Analyze the distribution of house prices to understand market trends and identify potential investment opportunities.
• Property size analysis: Explore the relationship between property square footage and prices to assess the value of different-sized houses.
• Location-based analysis: Investigate geographical patterns to identify areas with higher or lower property prices.
• Bedroom and bathroom trends: Analyze the impact of the number of bedrooms and bathrooms on house prices.
• Broker performance analysis: Evaluate the influence of different brokers on the pricing of houses.

If you find this dataset useful, your support through an upvote would be greatly appreciated ❤️🙂 Thank you

House Price Index MoM in Singapore decreased to 0.90 percent in the third quarter of 2025 from 1 percent in the second quarter of 2025. This dataset includes a chart with historical data for Singapore Residential Property Price Index MoM.

This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.

📑 Column Descriptions