Description: This dataset provides historical housing prices scraped from Centaline Property Hong Kong, one of the largest real estate agencies in Hong Kong. The dataset includes information on the date of the transaction, the property address, floor plan, saleable area, unit rate, source, and district. The dataset covers a period of time spanning several years, allowing for analysis of trends and changes in the Hong Kong housing market.

Columns: Date: the date of the property transaction Address: the address of the property Floor Plan: -- Price: the price of the property Changes: any changes made to the property since the last transaction Saleable Area: the area of the property that can be sold to a buyer Unit Rate: the price per square foot of saleable area Source: the source of the data (Centaline Property Hong Kong/ Land Registry) District: the district in which the property is located in Hong Kong

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.

Graph and download economic data for Real Residential Property Prices for Hong Kong SAR (QHKR628BIS) from Q4 1979 to Q2 2025 about Hong Kong, residential, HPI, housing, real, price index, indexes, and price.

Key information about House Prices Growth

• Hong Kong SAR (China) house prices grew 1.1% YoY in Oct 2025, following an increase of 1.8% YoY in the previous month.
• YoY growth data is updated monthly, available from Jan 1994 to Oct 2025, with an average growth rate of 0.0%.

In 2024, the average price of permanent housing in Hong Kong Island dropped to around ******* Hong Kong dollars per square meter on average. The city had the highest property prices in the region.

House price index in Hong Kong, June, 2025 The most recent value is 189.92 index points as of Q2 2025, an increase compared to the previous value of 189.45 index points. Historically, the average for Hong Kong from Q1 1990 to Q2 2025 is 122.25 index points. The minimum of 28.36 index points was recorded in Q1 1990, while the maximum of 263.65 index points was reached in Q3 2021. | TheGlobalEconomy.com

Key information about Hong Kong SAR (China) Gold Production

• Hong Kong SAR (China) Real Residential Property Price Index was reported at 129.683 2010=100 in Jun 2025.
• This records an increase from the previous number of 129.024 2010=100 for Mar 2025.
• Hong Kong SAR (China) Real Residential Property Price Index data is updated quarterly, averaging 49.873 2010=100 from Dec 1979 to Jun 2025, with 183 observations.
• The data reached an all-time high of 198.526 2010=100 in Sep 2018 and a record low of 28.660 2010=100 in Sep 1984.
• Hong Kong SAR (China) Real Residential Property Price Index data remains active status in CEIC and is reported by Bank for International Settlements.
• The data is categorized under World Trend Plus’s Association: Property Sector – Table RK.BIS.RPPI: Selected Real Residential Property Price Index: 2010=100: Quarterly. [COVID-19-IMPACT]

House Price Index MoM in Hong Kong decreased to 0 percent in October from 0.20 percent in September of 2025. This dataset includes a chart with historical data for Hong Kong Private Residential Price Index MoM.

This dataset is a sample of 300 real housing transaction records in Hong Kong between 2020 and 2023. It contains transaction date, address, district, sale of area, price, and unit rate. This dataset contains sample records of Hong Kong residential property transactions between 2020 and 2023. The data includes key details such as transaction date, address, price, area, unit rate, and district.

The dataset is intended for educational and research purposes only. It can be used to practice: • Data cleaning and preprocessing • Exploratory data analysis (EDA) • Visualization of real estate market trends • Machine learning models for housing price prediction

Dataset Fields • date → Transaction date • address → Property address

Residential Property Prices in Hong Kong decreased 6.30 percent in June of 2025 over the same month in the previous year. This dataset includes a chart with historical data for Hong Kong Residential Property Prices.

In 2020, Hong Kong had the most expensive residential property market worldwide, with an average property price of 1.25 million U.S. dollars. The government of Hong Kong provide public housing for lower-income residents and almost 45 percent of the Hong Kong population lived in public permanent housing in 2018.

As of March 2025, the average monthly rent for public rental housing in Hong Kong's New Territories was ** Hong Kong dollars per square meter. These types of apartments were rent-controlled and therefore were significantly cheaper than their private counterparts. For instance, whereas public housing in the New Territories costs ** Hong Kong dollars per square meter per month on average, a private apartment in the same districts costs *** Hong Kong dollars per month.

Hong Kong CPI (B): Housing: Rent incl Rates: Public data was reported at 176.900 Oct2009-Sep2010=100 in Dec 2016. This stayed constant from the previous number of 176.900 Oct2009-Sep2010=100 for Nov 2016. Hong Kong CPI (B): Housing: Rent incl Rates: Public data is updated monthly, averaging 154.100 Oct2009-Sep2010=100 from Oct 1994 (Median) to Dec 2016, with 267 observations. The data reached an all-time high of 187.500 Oct2009-Sep2010=100 in Mar 2016 and a record low of 3.500 Oct2009-Sep2010=100 in Aug 2014. Hong Kong CPI (B): Housing: Rent incl Rates: Public data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.I032: Consumer Price Index (B): 10/09-9/10=100. CPI (B): Housing: Rent incld Rates: Public was affected by a number of Government’s one-off relief measures, including the waiver of public housing rentals by Housing Authority and Housing Society for the month of February 2007; the waiver of public housing rentals by Housing Society for the month of February 2008; Government's payment of public housing rentals in August to October 2008, August to September 2009, July to August 2010 and August to September 2011; the public housing rental waiver by Housing Authority in September 2010.

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.

Home Ownership Rate in Hong Kong remained unchanged at 50.40 percent in 2024 from 50.40 percent in 2023. This dataset provides the latest reported value for - Hong Kong Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Key information about Hong Kong SAR (China) Nominal Residential Property Price Index

• Hong Kong SAR (China) Nominal Residential Property Price Index was reported at 189.894 2010=100 in Jun 2025.
• This records an increase from the previous number of 189.453 2010=100 for Mar 2025.
• Hong Kong SAR (China) Nominal Residential Property Price Index data is updated quarterly, averaging 45.480 2010=100 from Dec 1979 to Jun 2025, with 183 observations.
• The data reached an all-time high of 263.648 2010=100 in Sep 2021 and a record low of 10.934 2010=100 in Dec 1979.
• Hong Kong SAR (China) Nominal Residential Property Price Index data remains active status in CEIC and is reported by Bank for International Settlements.
• The data is categorized under World Trend Plus’s Association: Property Sector – Table RK.BIS.RPPI: Selected Nominal Residential Property Price Index: 2010=100: Quarterly.

Hong Kong CPI (B): Housing data was reported at 133.600 Oct2004-Sep2005=100 in Dec 2011. This records an increase from the previous number of 132.700 Oct2004-Sep2005=100 for Nov 2011. Hong Kong CPI (B): Housing data is updated monthly, averaging 113.600 Oct2004-Sep2005=100 from Oct 1999 (Median) to Dec 2011, with 147 observations. The data reached an all-time high of 133.600 Oct2004-Sep2005=100 in Dec 2011 and a record low of 99.400 Oct2004-Sep2005=100 in Mar 2005. Hong Kong CPI (B): Housing data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.I035: Consumer Price Index (B): 10/04-9/05=100.

This web map shows the locations of Domestic Properties Available for Sale under the purview of Government Property Agency in Hong Kong. It is a set of data made available by the Government Property Agency under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

This statistic shows the price per square foot in selected prime residential markets worldwide in 2018. Hong Kong was the most expensive residential market globally with average prime residential values of ***** U.S. dollars per square foot.

The automated valuation model (AVM) has been widely used by real estate stakeholders to provide accurate property value estimations automatically. Traditional valuation models are subjective and inaccurate, and previous studies have shown that machine learning (ML) approaches perform better in real estate valuation. These valuation models are based on structured tabular data, and few consider integrating multi-source unstructured data such as images. Most previous studies use fixed feature space for model training without considering the model performance variation brought by various feature configuration parameters. To fill these gaps, this study uses Hong Kong as a case study and proposes an enhanced ML-based real estate valuation framework with feature configuration and multi-source image data fusion, including exterior housing photos, street view and remote sensing images. ‌‌Eight ML regressors, namely, Random Forest, Extra Tree, XGBoost, Light Gradient Boosting Machine (LightGBM), K-Nearest Neighbors (KNN), Support Vector Regression (SVR), Multilayer Perceptron (MLP), and Multiple Linear Regression (MLR) are used to formulate ML pipelines for training. The SHapley Additive exPlanations (SHAP) method is used to examine the effects of images on housing prices. The experimental results show that the model performances using different feature configuration parameters are significantly different, indicating the necessity of feature configuration to obtain more accurate and reliable predictions. Extra Tree performs significantly better than other models. Half of the top 10 significant features are image features, and incorporating multi-source image features can improve property valuation accuracy. Nonlinear associations exist between image features and housing prices, and the spatial distribution patterns of image feature values and corresponding SHAP main effects vary significantly from the city centre to the suburbs. These findings contribute to a better understanding of AVM development with image fusion and the nonlinear associations between image features and housing prices for public authorities, urban planners, and real estate developers.