Housing Index in Taiwan decreased to 164.39 points in the second quarter of 2025 from 168.42 points in the first quarter of 2025. This dataset provides - Taiwan House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about House Prices Growth

• Taiwan house prices grew 0.1% YoY in Sep 2025, following a decrease of 0.1% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2002 to Sep 2025, with an average growth rate of 15.1%.
• House price data reached an all-time high of 20.9% in Mar 2010 and a record low of -6.0% in Mar 2016.

In 2023, the Taiwan Real Estate Market reached a value of USD 199.1 million, and it is projected to surge to USD 317.6 million by 2030.

Taiwan CREI: Housing Price Index: Taipei City data was reported at 154.240 2001=100 in Dec 2008. This records an increase from the previous number of 153.542 2001=100 for Sep 2008. Taiwan CREI: Housing Price Index: Taipei City data is updated quarterly, averaging 105.952 2001=100 from Mar 1993 (Median) to Dec 2008, with 64 observations. The data reached an all-time high of 154.240 2001=100 in Dec 2008 and a record low of 91.688 2001=100 in Dec 2002. Taiwan CREI: Housing Price Index: Taipei City data remains active status in CEIC and is reported by Taiwan Real Estate Research Center. The data is categorized under Global Database’s Taiwan – Table TW.EB024: Cathay Real Estate Index: Taiwan Real Estate Research Center, Cathay Real Estate Development Company Limited.

In September 2022, the urban land price index in New Taipei City had a value of ******. From 2013 to early 2016, the land prices increased rapidly from an index value of around ** to over ***. Since then the price had stabilized at an index value slightly below 100. New Taipei City was the most populous city in Taiwan and encircled Taipei City.

In accordance with the Ministry of the Interior's policy, conduct dynamic analysis of the Taipei City real estate market every quarter.

In 2022, the index value of urban land prices in Taipei city was ******. Just like in Taiwan's other special municipalities, from 2013 to 2015, land prices increased rapidly before they settled around the index value of 100. However, the price spike in Taipei City was much higher than in the neighboring municipality of New Taipei City.

Taiwan Housing Price to Income Ratio data was reported at 9.160 Times in Dec 2017. This records a decrease from the previous number of 9.220 Times for Sep 2017. Taiwan Housing Price to Income Ratio data is updated quarterly, averaging 6.735 Times from Mar 2002 (Median) to Dec 2017, with 64 observations. The data reached an all-time high of 9.460 Times in Jun 2017 and a record low of 4.150 Times in Sep 2002. Taiwan Housing Price to Income Ratio data remains active status in CEIC and is reported by Construction and Planning Agency, Ministry of the Interior. The data is categorized under Global Database’s Taiwan – Table TW.EB017: Housing Price and Housing Loan Payment to Income Ratio.

Statistical data for affordable housing and residential price indexes in Taipei City

USD 6.62 Billion in 2024; projected USD 11.64 Billion by 2033; CAGR 6.49%.

1. Real estate transaction information includes location, area, total price, etc. 2. This dataset is updated every 10 days.

Quarterly dataset of the Taiwan House Price Index, including historical data, latest releases, and long-term trends from 2001-03-31 to 2025-06-30. Available for free download in CSV format.

Taiwan CREI: Housing Price Index: Tainan City data was reported at 156.520 2010=100 in Dec 2016. This records an increase from the previous number of 148.800 2010=100 for Sep 2016. Taiwan CREI: Housing Price Index: Tainan City data is updated quarterly, averaging 92.427 2010=100 from Mar 2000 (Median) to Dec 2016, with 68 observations. The data reached an all-time high of 156.520 2010=100 in Dec 2016 and a record low of 74.018 2010=100 in Jun 2003. Taiwan CREI: Housing Price Index: Tainan City data remains active status in CEIC and is reported by Taiwan Real Estate Research Center. The data is categorized under Global Database’s Taiwan – Table TW.EB024: Cathay Real Estate Index: Taiwan Real Estate Research Center, Cathay Real Estate Development Company Limited.

Context

This dataset is for housing price prediction project. Original data comes from Ministry of Interior of Taiwan

Content

This data covers most( can't guarantee all) transaction records happening in 2020 along with some critical parameters attached to that transaction.

Acknowledgements

Special thanks to Ministry of Interior of Taiwan for providing reliable data sources.

Inspiration

We would like to make a prediction model of housing price using this dataset.

Real estate market urban land price changes, the concentration of domestic bank loans in residential real estate and commercial real estate loans.

1. Real estate transaction case actual price registration information includes the location, area, total price, etc.2. This dataset is updated every 10 days. (Xindian District)

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

Taiwan CREI: Housing Price Index: Taoyuan-Hsinchu data was reported at 115.580 2001=100 in Dec 2008. This records an increase from the previous number of 115.213 2001=100 for Sep 2008. Taiwan CREI: Housing Price Index: Taoyuan-Hsinchu data is updated quarterly, averaging 104.399 2001=100 from Mar 1993 (Median) to Dec 2008, with 64 observations. The data reached an all-time high of 118.307 2001=100 in Dec 1993 and a record low of 91.581 2001=100 in Jun 2003. Taiwan CREI: Housing Price Index: Taoyuan-Hsinchu data remains active status in CEIC and is reported by Taiwan Real Estate Research Center. The data is categorized under Global Database’s Taiwan – Table TW.EB024: Cathay Real Estate Index: Taiwan Real Estate Research Center, Cathay Real Estate Development Company Limited.

In Taiwan Prefabricated Housing Market is projected to grow from USD 21.5 billion in 2025 to USD 38.6 billion by 2031, at a CAGR of 10.1%

Real Estate Dataset Description

This dataset contains information on real estate transactions. It includes various attributes related to each property and its transaction details. The dataset comprises 414 entries, each representing a unique transaction. Below is a detailed description of the dataset's columns:

Trans date:

Type: float64 Description: The date of the transaction in fractional year format. For example, 2012.917 represents a transaction that occurred in late 2012. House age:

Type: float64 Description: The age of the house in years at the time of the transaction. This value indicates how old the house is. Distance station:

Type: float64

Description: The distance from the house to the nearest station in meters. This value reflects the accessibility of public transportation. No of stores:

Type: int64

Description: The number of convenience stores located within a certain radius of the house. This value indicates the availability of nearby amenities. Latitude:

Type: float64

Description: The geographical latitude of the house location. This value is part of the coordinates indicating the house's location. Longitude:

Type: float64

Description: The geographical longitude of the house location. This value is part of the coordinates indicating the house's location. House Price:

Type: float64

Description: The price of the house in local currency. This value represents the transaction price at which the house was sold.

Column Description:

Number of Entries: 414

Number of Columns: 7

Columns and Data Types:

Trans date (float64): The transaction date.

House age (float64): The age of the house.

Distance station (float64): The distance to the nearest station.

No of stores (int64): The number of convenience stores nearby.

Latitude (float64): The latitude of the house location.

Longitude (float64): The longitude of the house location.

House Price (float64): The price of the house.

Acknowledgement:

The data originates from Sindian Dist., New Taipei City, Taiwan, and is used for regression analysis to predict real estate prices based on these features. This dataset is available on the UCI Machine Learning Repository:

https://archive.ics.uci.edu/dataset/477/real+estate+valuation+data+set

Conclusion: Real estate datasets are valuable resources for understanding market trends, making informed decisions, and conducting research in the real estate industry. By leveraging these datasets, stakeholders can gain insights into property markets, optimize investment strategies, and contribute to the sustainable development of real estate markets.