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.

Key information about House Prices Growth

• Taiwan house prices grew 12.5% YoY in Sep 2024, following an increase of 11.9% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2002 to Sep 2024, with an average growth rate of 7.3%.
• House price data reached an all-time high of 20.9% in Mar 2010 and a record low of -6.0% in Mar 2016.

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.

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

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.

Comprehensive dataset containing 36 verified Real estate school businesses in Taiwan with complete contact information, ratings, reviews, and location data.

Context

This is a dataset from the Taiwan Open Data Platform. To make the dataset widely used and more valuable to show its hidden information, several data preprocessing jobs were done including different ways of handling missing values, translation, and extraction of more features.

district: 台北市 12 個行政區
transaction_type: 土地/建物/車位交易
land_shift_area: 土地移轉面積
urban_land_use: 都市土地使用分區，如商、住...
main_use: 工商用、住家用...
main_building_material: 鋼筋混凝土、石造、木造...
complete_year: 建物完成年份
building_shift_total_area: 建議移轉總面積 (平方公尺)
num_room: 房間數量
num_hall: 廳數量
num_toilet: 廁所數量
num_partition: 隔間數量
management_org: 有無管理單位
total_ntd: 總交易價格
unit_ntd: 每平方公尺交易價格
carpark_category: 車位類別，如塔式車位、坡道平面...
carpark_shift_area: 車位移轉總面積(平方公尺)
carpark_ntd: 車位交易價格
transaction_year: 交易年份
transaction_month: 交易月份
building_age: 建物屋齡
number_of_land: 土地交易數量
number_of_building: 建物交易數量
number_of_carpark: 停車場交易數量

Original Data Source: https://plvr.land.moi.gov.tw/DownloadOpenData (Q1, 2020)

Inspiration

Who can predict the housing price of Taipei City? What insight do we get in the housing market?

Comprehensive dataset of 7,337 Real estate agencies in Taiwan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Asset: HH: NF: Real Estate (Land evaluated at current market price) data was reported at 52,532,100.000 NTD mn in 2023. This records an increase from the previous number of 51,385,900.000 NTD mn for 2022. Asset: HH: NF: Real Estate (Land evaluated at current market price) data is updated yearly, averaging 47,128,893.000 NTD mn from Dec 2009 (Median) to 2023, with 15 observations. The data reached an all-time high of 52,532,100.000 NTD mn in 2023 and a record low of 28,534,577.000 NTD mn in 2009. Asset: HH: NF: Real Estate (Land evaluated at current market price) data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.AB014: Balance Sheet: Households.

Comprehensive dataset of 153 Commercial real estate inspectors in Taiwan as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Context

The market historical data set of real estate valuation are collected from Sindian Dist., New Taipei City, Taiwan. The real estate valuation is a regression problem.

Content

The inputs are as follows - X1=the transaction date (for example, 2013.250=2013 March, 2013.500=2013 June, etc.) X2=the house age (unit: year) X3=the distance to the nearest MRT station (unit: meter) X4=the number of convenience stores in the living circle on foot (integer) X5=the geographic coordinate, latitude. (unit: degree) X6=the geographic coordinate, longitude. (unit: degree)

The output is as follows - Y= house price of unit area (10000 New Taiwan Dollar/Ping, where Ping is a local unit, 1 Ping = 3.3 meter squared)

Acknowledgements

For ownership of the original data, please refer to the webpage: UCI Machine Learning Repository: Real estate valuation data set Data Set.

Inspiration

The dataset can be used to - 1. Develop regression model 2. Compare various Supervised Learning techniques

Relevant Papers:

Yeh, I. C., & Hsu, T. K. (2018). Building real estate valuation models with comparative approach through case-based reasoning. Applied Soft Computing, 65, 260-271.

The Statista Industry Outlook estimates that revenue from real estate activities in the Philippines will grow by over ** percent in 2022. Real estate market revenue in Malaysia and Taiwan are expected to increase by *** and *** percent.

Comprehensive dataset of 1,133 Real estates in Taiwan as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Return-On-Equity Time Series for Sinyi Realty Inc. Sinyi Realty Inc., together with its subsidiaries, operates in the real estate brokerage and development businesses in Taiwan, Mainland China, and internationally. The company develops, constructs, rents, and sells residential buildings and factories. It is involved in the real estate management and identification, and real estate marketing planning activities; market information consultation business; provision of management consulting, information software, data processing, and electronic information services; and publication business. In addition, the company offers professional construction, building, decoration construction, hardware, and general merchandise; manages property; and engages in the wholesale of construction materials, furniture, sanitary ware, and ceramic products, as well as building materials. Further, it provides equipment lease and tourism services; develops commercial buildings and auxiliary facilities; and offers manpower dispatch and merchandise delivery services. The company was incorporated in 1987 and is headquartered in Taipei City, Taiwan.

To help people understand the housing situation in our country, we collected census data from the Directorate-General of Budget, Accounting and Statistics in 2000 and 2010, and calculated the distribution and trends of housing types in our country based on population changes by gender and age.

Short-Term-Investments Time Series for Sinyi Realty Inc. Sinyi Realty Inc., together with its subsidiaries, operates in the real estate brokerage and development businesses in Taiwan, Mainland China, and internationally. The company develops, constructs, rents, and sells residential buildings and factories. It is involved in the real estate management and identification, and real estate marketing planning activities; market information consultation business; provision of management consulting, information software, data processing, and electronic information services; and publication business. In addition, the company offers professional construction, building, decoration construction, hardware, and general merchandise; manages property; and engages in the wholesale of construction materials, furniture, sanitary ware, and ceramic products, as well as building materials. Further, it provides equipment lease and tourism services; develops commercial buildings and auxiliary facilities; and offers manpower dispatch and merchandise delivery services. The company was incorporated in 1987 and is headquartered in Taipei City, Taiwan.

The Taiwan floor covering market, spanning the period 2019-2033, exhibits robust growth potential driven by several key factors. The construction boom in Taiwan, fueled by both residential and commercial development projects, is a primary driver. Rising disposable incomes and a growing middle class are leading to increased spending on home improvement and renovation, significantly boosting demand for high-quality flooring solutions. Furthermore, the increasing popularity of sustainable and eco-friendly flooring options, such as bamboo and recycled materials, presents a significant opportunity for market expansion. While precise market sizing data for earlier years is unavailable, industry reports suggest a substantial market size in 2019, experiencing steady growth throughout the historical period (2019-2024). The base year of 2025 is estimated to represent a significant increase over previous years, reflecting ongoing economic growth and infrastructure development. Looking ahead to the forecast period (2025-2033), the Taiwan floor covering market is projected to maintain a healthy Compound Annual Growth Rate (CAGR). This sustained growth is anticipated to be fueled by ongoing urbanization, government initiatives promoting sustainable building practices, and a preference for aesthetically pleasing and durable flooring materials among consumers. The market segmentation will likely see increased competition in the premium segment, as consumers show a growing willingness to invest in high-end flooring options for improved aesthetics and longevity. Factors like fluctuating raw material prices and global economic conditions might present some challenges, but the overall outlook for the Taiwan floor covering market remains positive. The market will likely see diversification in product offerings to cater to varied consumer preferences and budget considerations. Key drivers for this market are: Rise in Disposable Income is Driving the Market. Potential restraints include: Fluctuation in Raw Material Prices is Restraining the Market. Notable trends are: High Demand for Soft Covering Material.

Days-of-Sales-Outstanding Time Series for Sinyi Realty Inc. Sinyi Realty Inc., together with its subsidiaries, operates in the real estate brokerage and development businesses in Taiwan, Mainland China, and internationally. The company develops, constructs, rents, and sells residential buildings and factories. It is involved in the real estate management and identification, and real estate marketing planning activities; market information consultation business; provision of management consulting, information software, data processing, and electronic information services; and publication business. In addition, the company offers professional construction, building, decoration construction, hardware, and general merchandise; manages property; and engages in the wholesale of construction materials, furniture, sanitary ware, and ceramic products, as well as building materials. Further, it provides equipment lease and tourism services; develops commercial buildings and auxiliary facilities; and offers manpower dispatch and merchandise delivery services. The company was incorporated in 1987 and is headquartered in Taipei City, Taiwan.

Comprehensive dataset of 2 Housing developments in Jinshan District, New Taipei City, Taiwan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.