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

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.

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.

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.

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%.

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]

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.

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

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

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.

Real residential property prices Y-on-Y, percent change in Hong Kong, June, 2025 The most recent value is -7.94 percent as of Q2 2025, an increase compared to the previous value of -8.01 percent. Historically, the average for Hong Kong from Q1 1990 to Q2 2025 is 3.81 percent. The minimum of -40.54 percent was recorded in Q3 1998, while the maximum of 45.93 percent was reached in Q1 1992. | TheGlobalEconomy.com

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.

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.

In 2023, the growth rate of the total number of real estate projects in Hong Kong was *** percent. The largest growth was contributed by private residential building and factory blocks and warehouses projects, which increased by *** percent.

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

• Hong Kong SAR (China) Real Residential Property Price Index Growth was reported at -15.142 % in Sep 2024.
• This records a decrease from the previous number of -13.833 % for Jun 2024.
• Hong Kong SAR (China) Real Residential Property Price Index Growth data is updated quarterly, averaging 2.818 % from Dec 1980 to Sep 2024, with 176 observations.
• The data reached an all-time high of 45.934 % in Mar 1992 and a record low of -40.539 % in Sep 1998.
• Hong Kong SAR (China) Real Residential Property Price Index Growth 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: YoY %.

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 Real Estate Software Market is expected to grow during 2025-2031

This dataset has information about real estate transactions in Hong Kong from 2003 - 2018.

It includes the following columns:

• Col1: Building unit type
• Col2: Building Location
• Col3: Building Estate
• Col4: District
• Col5: Longitude
• Col6: Latitude
• Col7: Building Floor
• Col8: Building Unit
• Col9: Building Net Area
• Col10: Building Gross Area
• Col11: Building Price hkd (Example: 787 -> 7.78 M hkd)
• Col12: Price per net area
• Col13: Price per gross area
• Col14: Transaction date
• Col15: % change from previous transaction (same unit)
• Col16: date of previous transaction

The idea of using this dataset is:

• Understand the increase in prices for old developments -Study the difference between new developments and old ones in terms of prices & size

In 2019, Hong Kong had the most expensive residential property market worldwide, with an average price per square foot of 1,987 U.S. dollars.

Hong Kong

Hong Kong, an autonomous special administrative region of China, has one of the least affordable housing markets in the world. A region with an estimated 7.49 million people, it has become increasingly difficult to purchase a home in Hong Kong. The spoken languages in Hong Kong are Cantonese, Mandarin, and English.

Hong Kong housing market

The housing market in Hong Kong has seen an increase in prices in the past couple years. There are two types of housing unit offers in Hong Kong, private and public. The number of public rental housing units has been consistently rising since 2008. Nearly half of the public rental apartments in Hong Kong as of March 2018 were between 30 and 39.9 square meters. Not only has the number of public rental housing units increased since 2008, so have the private ones. However, there are more private housing units than public ones in Hong Kong. Additionally, the Home Ownership Scheme exists in Hong Kong. It is a government sponsored program that subsidizes public housing in Hong Kong. First created in the late 1970s, it was instituted with two targets in mind. The first was to persuade the richer tenants of these apartments to leave so families in greater need could live there. The second was to allow these families to become home owners, since they did not have enough money to buy in the private sector. Under this program, the government sells apartments to qualified low-income tenants at prices below the market value.

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.