Commercial property prices in the U.S. plateaued in 2025 after declining in 2023. Between 2014 and 2021, commercial real estate prices nearly doubled, with the index reaching ***** index points. Following a slowdown in the market, the index declined, falling to ****** index points in the second quarter of 2025. Despite the correction, this indicated an increase of almost ** percent in prices since 2010, which was the baseline year for the index. How have prices of different property types developed over the past years? After more than a decade of uninterrupted growth, office real estate prices started to decline in 2022, reflecting a decline in occupier demand and a tougher lending environment. Industrial real estate prices, which have grown rapidly over the past few years, also experienced a correction in late 2022. Retail real estate prices displayed most resilience amid the difficult economic environment, with the equal-weighted repeat sales index remaining stable. How much is invested in new commercial properties? The value of commercial real estate construction has been on the rise since 2010 in the United States. This trend mirrors the recovery seen across all economic sectors after the 2007-2009 recession. However, investment volumes in commercial property vary by type, with private office space, warehouses, and retail leading the pack.

Graph and download economic data for Commercial Real Estate Prices for United States (COMREPUSQ159N) from Q1 2005 to Q1 2025 about real estate, commercial, rate, and USA.

Hospitality properties had the highest square footage price in the U.S. commercial real estate sector in the fourth quarter of 2024. Hospitality properties sold during that period had an average price of ****** U.S. dollars per square foot. Conversely, industrial properties had the lowest price, at ****** U.S. dollars per square foot.

Dataset from Urban Redevelopment Authority. For more information, visit https://data.gov.sg/datasets/d_f333bf427c827efb484cf57a73ff700a/view

China Property Price: YTD Avg: Commercial Bldg: Existing House: Overall data was reported at 8,550.513 RMB/sq m in Mar 2025. This records a decrease from the previous number of 8,738.992 RMB/sq m for Feb 2025. China Property Price: YTD Avg: Commercial Bldg: Existing House: Overall data is updated monthly, averaging 8,677.458 RMB/sq m from Jan 2006 (Median) to Mar 2025, with 230 observations. The data reached an all-time high of 10,824.073 RMB/sq m in Mar 2019 and a record low of 4,227.000 RMB/sq m in Jun 2006. China Property Price: YTD Avg: Commercial Bldg: Existing House: Overall data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Price – Table CN.PD: NBS: Property Price: Commercial Building: Monthly.

Japan - Commercial property price index, all properties, Tokyo

Commercial Real Estate Prices for United States was -1.73986 % Chg. from Yr. Ago in January of 2025, according to the United States Federal Reserve. Historically, Commercial Real Estate Prices for United States reached a record high of 16.13922 in April of 2006 and a record low of -30.24535 in October of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Commercial Real Estate Prices for United States - last updated from the United States Federal Reserve on November of 2025.

Denmark Property Price: Other Sales: Industrial Properties & Warehouses data was reported at 8,291.000 DKK th in Mar 2018. This records a decrease from the previous number of 17,336.000 DKK th for Dec 2017. Denmark Property Price: Other Sales: Industrial Properties & Warehouses data is updated quarterly, averaging 6,618.000 DKK th from Mar 1992 (Median) to Mar 2018, with 105 observations. The data reached an all-time high of 34,518.000 DKK th in Mar 2011 and a record low of 1,621.000 DKK th in Mar 1994. Denmark Property Price: Other Sales: Industrial Properties & Warehouses data remains active status in CEIC and is reported by Statistics Denmark. The data is categorized under Global Database’s Denmark – Table DK.P001: Property Price.

This dataset contains property sales data, including information such as PropertyID, property type (e.g., Commercial or Residential), tax keys, property addresses, architectural styles, exterior wall materials, number of stories, year built, room counts, finished square footage, units (e.g., apartments), bedroom and bathroom counts, lot sizes, sale dates, and sale prices. Explore this dataset to gain insights into real estate trends and property characteristics.

Data.milwaukee.gov, (2023). Property Sales Data. [online] Available at: https://data.milwaukee.gov [Accessed 9th October 2023].

Open Definition. (n.d.). Creative Commons Attribution 4.0 International Public License (CC BY 4.0). [online] Available at: http://www.opendefinition.org/licenses/cc-by [Accessed 9th October 2023].

The Commercial Real Estate (CRE) industry is exhibiting significant variations across markets, with persistently high office vacancy rates juxtaposed against thriving prime office spaces. Hard hit by the widespread adoption of remote and hybrid work models, the overall office vacancy rate rose to 20.7% in Q2 2025, up from the pre-pandemic rate of 16.8%. However, leasing volumes for prime office spaces are climbing, providing opportunities for seasoned investors. On the other hand, the multifamily sector is gaining from a prominent move towards renting, primarily driven by housing affordability concerns and changing lifestyle preferences. This has strengthened demand for multifamily properties and opportunities to convert underutilized properties, such as offices, into residential rentals. The industrial real estate segment is also moderating, with the boom in e-commerce and industrial construction activity in 2021 and 2022 moderating more recently. Industry revenue has gained at a CAGR of 1.7% to reach $1.5 trillion through the end of 2025, including a 1.0% climb in 2025 alone. The industry is grappling with multiple challenges, including wide buyer-seller expectation gaps and significant disparities in demand across different geographies and asset types. Despite interest rate cuts in 2024 and 2025, economic uncertainty and labor market weakness have resulted in tighter credit and lending conditions. Because of remote working trends, office delinquency rates swelled to above 14.0% in 2025, leading to a job market increasingly concentrated in certain urban centers. Through the end of 2030, the CRE industry is expected to stabilize as the construction pipeline shrinks, reducing new supply and, in turn, rebalancing supply and demand dynamics. With this adjustment, occupancy rates will likely improve, and rents may gradually climb. The data center segment will witness accelerating demand propelled by the rapid expansion of artificial intelligence, cloud computing and the Internet of Things. Likewise, mixed-use properties are poised to gain popularity, driven by the growing appeal of flexible spaces that accommodate diverse businesses and residents. This new demand, coupled with the retiring baby boomer generation's preference for leisure-centric locales, is expected to push the transformation of traditional shopping plazas towards destination centers, offering continued opportunities for savvy CRE investors. Industry revenue will expand at a CAGR of 1.9% to reach $1.7 trillion in 2030.

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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.

Germany - Commercial property price index, office and retail buildings, whole country

Indonesia Commercial Property Price Index: YoY: Medan Municipality: Industrial Estate data was reported at -1.952 % in Mar 2020. This records a decrease from the previous number of -1.952 % for Dec 2019. Indonesia Commercial Property Price Index: YoY: Medan Municipality: Industrial Estate data is updated quarterly, averaging 0.000 % from Mar 2017 (Median) to Mar 2020, with 13 observations. The data reached an all-time high of 0.392 % in Dec 2018 and a record low of -1.952 % in Mar 2020. Indonesia Commercial Property Price Index: YoY: Medan Municipality: Industrial Estate data remains active status in CEIC and is reported by Bank of Indonesia. The data is categorized under Indonesia Premium Database’s Construction and Properties Sector – Table ID.EF003: Commercial Property Price Index: YoY.

Commercial valuation data collected and maintained by the Cook County Assessor's Office, from 2021 to present. The office uses this data primarily for valuation and reporting. This dataset consolidates the individual Excel workbooks available on the Assessor's website into a single shared format. Properties are valued using similar valuation methods within each model group, per township, per year (in the year the township is reassessed). This dataset has been cleaned minimally, only enough to fit the source Excel workbooks together - because models are updated for each township in the year it is reassessed, users should expect inconsistencies within columns across time and townships. When working with Parcel Index Numbers (PINs) make sure to zero-pad them to 14 digits. Some datasets may lose leading zeros for PINs when downloaded. This data is property-level. Each 14-digit key PIN represents one commercial property. Commercial properties can and often do encompass multiple PINs. Additional notes: Current property class codes, their levels of assessment, and descriptions can be found on the Assessor's website. Note that class codes details can change across time. Data will be updated yearly, once the Assessor has finished mailing first pass values. If users need more up-to-date information they can access it through the Assessor's website. The Assessor's Office reassesses roughly one third of the county (a triad) each year. For commercial valuations, this means each year of data only contain the triad that was reassessed that year. Which triads and their constituent townships have been reassessed recently as well the year of their reassessment can be found in the Assessor's assessment calendar. One KeyPIN is one Commercial Entity. Each KeyPIN (entity) can be comprised of one single PIN (parcel), or multiple PINs as designated in the pins column. Additionally, each KeyPIN might have multiple rows if it is associated with different class codes or model groups. This can occur because many of Cook County's parcels have multiple class codes associated with them if they have multiple uses (such as residential and commercial). Users should not expect this data to be unique by any combination of available columns. Commercial properties are calculated by first determining a property’s use (office, retail, apartments, industrial, etc.), then the property is grouped with similar or like-kind property types. Next, income generated by the property such as rent or incidental income streams like parking or advertising signage is examined. Next, market-level vacancy based on location and property type is examined. In addition, new construction that has not yet been leased is also considered. Finally, expenses such as property taxes, insurance, repair and maintenance costs, property management fees, and service expenditures for professional services are examined. Once a snapshot of a property’s income statement is captured based on market data, a standard valuation metric called a “capitalization rate” to convert income to value is applied. This data was used to produce initial valuations mailed to property owners. It does not incorporate any subsequent changes to a property’s class, characteristics, valuation, or assessed value from appeals.Township codes can be found in the legend of this map. For more information on the sourcing of attached data and the preparation of this datase

Graph and download economic data for Producer Price Index by Industry: Insurance Agencies and Brokerages: Sale of Commercial Property and Casualty Insurance (PCU524210524210102) from Dec 2002 to Sep 2025 about property-casualty, brokers, agency, insurance, commercial, sales, PPI, industry, inflation, price index, indexes, price, and USA.

This dataset outlines the percent changes in median Estimated Market Values, Aggregate Estimated Market Values, and Parcel Counts of commercial properties by Location (City of Saint Paul vs suburbs) from 2022 to 2023.

Commercial Property Price Index: QoQ: Jabodebek, Banten, Bandung Municipality and Makassar Municipality: Sell data was reported at 0.134 % in Mar 2020. This records an increase from the previous number of 0.072 % for Dec 2019. Commercial Property Price Index: QoQ: Jabodebek, Banten, Bandung Municipality and Makassar Municipality: Sell data is updated quarterly, averaging 0.114 % from Mar 2017 (Median) to Mar 2020, with 13 observations. The data reached an all-time high of 1.130 % in Dec 2018 and a record low of -0.412 % in Jun 2018. Commercial Property Price Index: QoQ: Jabodebek, Banten, Bandung Municipality and Makassar Municipality: Sell data remains active status in CEIC and is reported by Bank of Indonesia. The data is categorized under Indonesia Premium Database’s Construction and Properties Sector – Table ID.EF002: Commercial Property Price Index: QoQ.

In the second quarter of 2025, the commercial property price index for industrial land in Japan stood at ***** in the three metropolitan areas of Tokyo, Osaka, and Nagoya. In all other areas, the property price index stood at ***** points.Apart from industrial land, the commercial property price index comprises retail properties, offices, factories, warehouses, apartment buildings, and commercial land.

Commercial properties for sale by the City of Detroit.