100+ datasets found
  1. Median transaction price of commercial real estate in the U.S. 2025,...

    • statista.com
    Updated Mar 12, 2026
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    Statista Research Department (2026). Median transaction price of commercial real estate in the U.S. 2025, property type [Dataset]. https://www.statista.com/topics/1073/commercial-property/
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    Dataset updated
    Mar 12, 2026
    Dataset provided by
    Statistahttps://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    Multifamily properties had the highest median square footage price in the U.S. commercial real estate sector in the third quarter of 2025. Multifamily properties sold during that period had a median price of 144 U.S. dollars per square foot. Conversely, commercial general and mixed use properties had the lowest price, at 102 U.S. dollars per square foot.

  2. Commercial real estate investment value in the U.S. 2019-2025, by property...

    • statista.com
    • www-statista-com.zproxy.org
    Updated Mar 12, 2026
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    Statista Research Department (2026). Commercial real estate investment value in the U.S. 2019-2025, by property type [Dataset]. https://www.statista.com/topics/1073/commercial-property/
    Explore at:
    Dataset updated
    Mar 12, 2026
    Dataset provided by
    Statistahttps://statista.com/
    Authors
    Statista Research Department
    Description

    After declining in 2022 and 2023 amid a worsening economic climate, the value of commercial real estate investment in the U.S. saw a notable increase in 2025. According to industry professionals, the biggest factors impacting the real estate industry in 2025 were the rising cost of finance, and declining capital availability. Development of commercial real estate cap rates in the U.S. Cap rates started to increase in 2022, reflecting a decline in property values. Cap rates measure the expected rate of return on investment properties and are calculated by dividing the net operating income of the property by the current asset value. While a higher cap rate indicates a higher rate of return, it is also associated with higher risk. Which property type has the best development prospects? In 2026, the development opportunities in the commercial real estate sector deemed the best for single-family real estate. Multifamily housing and industrial and distribution real estate, including warehouses, factories, and big box distribution centers, also ranked high.

  3. F

    Commercial Real Estate Prices for United States

    • fred.stlouisfed.org
    • autario.com
    json
    Updated Oct 1, 2026
    + more versions
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    (2026). Commercial Real Estate Prices for United States [Dataset]. https://fred.stlouisfed.org/series/COMREPUSQ159N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 1, 2026
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Commercial Real Estate Prices for United States (COMREPUSQ159N) from Q1 2005 to Q1 2026 about real estate, commercial, rate, and USA.

  4. d

    Real Estate Market Data | USA Coverage | Residential Real Estate Data |...

    • datarade.ai
    Updated Feb 3, 2026
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    BatchData (2026). Real Estate Market Data | USA Coverage | Residential Real Estate Data | Commercial Real Estate DataBatch | Property & Ownership | BatchData [Dataset]. https://datarade.ai/data-products/real-estate-market-data-usa-coverage-74-right-party-cont-batchdata
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    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Feb 3, 2026
    Dataset authored and provided by
    BatchData
    Area covered
    United States
    Description

    BatchData is a premier data and technology solution helping businesses serving the real estate ecosystem achieve faster growth. BatchData specializes in providing accurate, granular B2C contact and property data for US property owners. Our Property Search API is the engine behind leading PropTech applications, predictive modeling engines, and high-volume sales operations.

    With over 300+ unique search filters, we enable developers and data scientists to build highly specific "buy-boxes" and marketing audiences. Whether you are searching for high-equity homes in specific zip codes or identifying commercial properties based on zoning and lot size, BatchData delivers the "ground truth" you need. Visit www.batchdata.io to explore our documentation and start building.

    The Power of Granular Search Unlike standard APIs that offer broad, surface-level data, BatchData allows you to query the US real estate market with surgical precision. Our API accepts complex boolean logic, allowing you to layer demographic profiles, mortgage history, and physical building characteristics to surface the exact properties that match your ideal customer profile (ICP).

    Key Search Capabilities & Data Attributes Our API response leverages a massive schema of over 124 data points per property. You can search, filter, and retrieve data across these core categories:

    1. Distressed Property & Motivated Seller Signals (Quick Lists) Identify off-market opportunities before they hit the MLS. Our API provides pre-calculated flags for immediate actionable intelligence:

    Vacancy & Abandonment: Filter by USPS vacancy flags or properties where the mailing address differs from the situs address (Absentee Owners).

    Financial Distress: Identify properties with active Notices of Default, Pre-Foreclosure filings, Tax Defaults (3+ years delinquent), or Involuntary Liens (HOA, mechanics, tax liens).

    Ownership Fatigue: Target "Tired Landlords" (non-owner occupied, owned for 10+ years) or "Inherited" properties that are ripe for acquisition.

    Equity Position: Search by calculated Equity Percentage or Loan-to-Value (LTV) ratios to find owners with high equity (Free & Clear) or low equity depending on your strategy.

    1. Detailed Building & Lot Characteristics Go beyond bed/bath counts. Our physical property data is sourced from tax assessors and refined for accuracy:

    Structural Details: Search by Construction Type (Masonry, Frame, etc.), Foundation Type, Roof Cover/Type (Gable, Hip, Flat), and Exterior Wall material.

    Systems & Features: Filter properties by Air Conditioning Source (Central, Evaporative), Heating Fuel (Gas, Solar), and amenities like Pools, Patios, and Fireplaces.

    Lot Intelligence: Access granular Zoning Codes, Topography, Lot Depth/Frontage, and Site Influence data to evaluate development potential.

    1. Valuation & Market Analytics Power your underwriting models with our automated valuation metrics:

    AVM (Automated Valuation Model): Access estimated market values with accompanying Confidence Scores and Standard Deviation metrics to assess reliability.

    Investment Metrics: Utilize estimated Rent Amounts, Flip Profit history, and length of ownership to calculate potential ROI instantly.

    1. Advanced Owner Demographics Understand the human element behind the property. Our demographic append allows you to segment properties based on the owner’s profile:

    Financial Profile: Filter by Household Income, Net Worth, Discretionary Income, and Creditworthiness indicators.

    Household Composition: Search by Marital Status, Presence of Children, Household Size, and Senior Owner status.

    Lifestyle Indicators: Access data on interests such as Pet Ownership, Charitable Donations, and Investment activity (Stocks/Bonds, Real Estate).

    1. Mortgage & Transaction History Trace the financial history of every rooftop:

    Loan Details: Search by Loan Type (Conventional, FHA, VA, Reverse Mortgage), Interest Rate type (Fixed vs. Adjustable), and Lender Name.

    Transaction Velocity: Analyze sales history including Prior Sale Price, Document Types (Deed, Quit Claim), and Distressed Transfer flags.

    Use Cases for PropTech & Real Estate

    For Real Estate Investors & Wholesalers: Automate your lead generation by programming the API to fetch new properties daily that meet your specific "Buy Box" (e.g., "Vacant Single Family Homes, 3+ Beds, Built after 1980, with >40% Equity"). Feed these leads directly into your CRM or cold-calling dialer.

    For Home Services & Solar: Stop marketing to renters. Use the API to identify Owner-Occupied Single-Family Residences with specific roof types (e.g., Asphalt Shingle) and high discretionary income. Overlay this with "Old Roof" indicators (based on Year Built and Permit History) to target homeowners ready for replacement or solar upgrades.

    For Financial Services & Lenders: Improve your risk models by integrating our Lien and Judgment data. Identify borrowers with "Free and Clear" properties for HELOC offers or target recent "Cash Buy...

  5. r

    Commercial real estate property managers based in Birmingham, United States

    • revenuebase.ai
    Updated Oct 10, 2026
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    RevenueBase (2026). Commercial real estate property managers based in Birmingham, United States [Dataset]. https://revenuebase.ai/companies/commercial-real-estate-property-managers/united-states/birmingham
    Explore at:
    Dataset updated
    Oct 10, 2026
    Dataset authored and provided by
    RevenueBase
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Birmingham, United States
    Measurement technique
    Semantic matching of company business descriptions compiled by RevenueBase from its company graph, using RevenueBase SmartSearch at Exact. Method: https://revenuebase.ai/blog/how-revenuebase-company-lists-are-built
    Description

    66 company records matching commercial real estate property managers associated with Birmingham, United States with size bands, recorded city locations, and verified-contact coverage. Compiled by RevenueBase from its company graph.

  6. m

    Commercial Real Estate Market Dataset

    • mordorintelligence.com
    pdf, xlsx
    Updated Jul 28, 2026
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    Mordor Intelligence (2026). Commercial Real Estate Market Dataset [Dataset]. https://www.mordorintelligence.com/industry-reports/commercial-real-estate-market
    Explore at:
    pdf, xlsxAvailable download formats
    Dataset updated
    Jul 28, 2026
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/terms-and-conditionshttps://www.mordorintelligence.com/terms-and-conditions

    Time period covered
    2020 - 2031
    Area covered
    Global
    Variables measured
    Largest Market, Market Size (2026), Market Size (2031), Market Concentration, Fastest Growing Market, Growth Rate (2026 - 2031)
    Description

    Complete dataset included in the full report. Detailed tables, regional splits, forecasts, and methodologies are available with purchase.

  7. r

    Commercial real estate property managers based in Springfield, United States...

    • revenuebase.ai
    Updated Oct 10, 2026
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    RevenueBase (2026). Commercial real estate property managers based in Springfield, United States [Dataset]. https://revenuebase.ai/companies/commercial-real-estate-property-managers/united-states/springfield
    Explore at:
    Dataset updated
    Oct 10, 2026
    Dataset authored and provided by
    RevenueBase
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Springfield, United States
    Measurement technique
    Semantic matching of company business descriptions compiled by RevenueBase from its company graph, using RevenueBase SmartSearch at Exact. Method: https://revenuebase.ai/blog/how-revenuebase-company-lists-are-built
    Description

    46 company records matching commercial real estate property managers associated with Springfield, United States with size bands, recorded city locations, and verified-contact coverage. Compiled by RevenueBase from its company graph.

  8. M

    U.S. Commercial Real Estate Price Index (1945-2026)

    • macrotrends.net
    html
    Updated Jun 1, 2026
    + more versions
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    MACROTRENDS (2026). U.S. Commercial Real Estate Price Index (1945-2026) [Dataset]. https://www.macrotrends.net/3318/us-commercial-real-estate-price-index
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 1, 2026
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1945 - 2026
    Area covered
    United States
    Description

    U.S. Commercial Real Estate Price Index was $315.33 billion in June 2026, up 8.8% from $289.81 billion a year earlier. Interactive monthly chart and 81 years of historical data from 1945 to 2026.

  9. d

    Industrial real estate - Dataset - the Datahub

    • api.old.datahub.io
    Updated Sep 4, 2013
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    (2013). Industrial real estate - Dataset - the Datahub [Dataset]. https://api.old.datahub.io/dataset/hess
    Explore at:
    Dataset updated
    Sep 4, 2013
    Description

    Commercial real estate: The large gains Real-estate is often termed as the best investment opportunity. The truth is, real estate investments done with proper analysis of the property (and its correct value), can result in good profits. This is one reason why many people pursue owning a home as their full-time work. In the event people claim to get more on san antonio equity partners, there are heaps of online libraries you should consider investigating. The discussions of real estate are usually concentrated towards residential real estate; commercial real estate seems to take a back seat. Nevertheless, commercial real estate also is an excellent alternative for purchasing real estate. Commercial property includes a lot of different kinds of houses. Most of the people connect commercial real-estate with only office buildings or factories/ industrial products. Nevertheless, that's not all of commercial real estate. There's more to commercial real estate. Retail structures, healthcare centers and factory are typical good examples of commercial real estate. Should you require to discover new info about consumers, there are many online libraries people might investigate. Also residential houses like flats (or any property that includes over four residential units) are believed commercial real estate. Actually, such commercial real estate is much popular. Therefore, is commercial property really successful? Well, if it were not profitable I would not have already been authoring commercial property at all. Therefore, commercial real estate is profitable for certain. The only thing with commercial real estate is that identifying the opportunity is just a bit difficult as in comparison to residential real estate. But commercial real estate profits can be real big (in fact, much bigger than you would expect from residential real estate of the same percentage). You could occupy commercial property for both reselling after gratitude or for renting out to, say, retailers. The commercial real estate development is actually treated as the initial sign for development of residential real estate. When you know of the chance of significant commercial development in your community (both on account of tax breaks or whatever), you must begin considering the potential for understanding in the values of commercial real-estate and then go for it quickly (the moment you find a good deal). And you must really work towards obtaining a good deal. To get extra information, people might hate to check out: charles tolvanen. E.g, If you learn that commercial real estate. land, is available in large chunks which are too costly for you to buy, you could have a look at creating a tiny investor group (with your friends) and buy it together (and split the earnings later). In some instances e.g. Whenever a increase is expected in a spot, you may think it is profitable to purchase a property that you can change into a warehouse with the objective of letting to small enterprises. Therefore commercial real-estate presents an entire plethora of investing possibilities, you simply have to get it.

  10. Global Commercial Real Estate - Market Research Report (2016-2031)

    • ibisworld.com
    Updated Oct 15, 2026
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    IBISWorld (2026). Global Commercial Real Estate - Market Research Report (2016-2031) [Dataset]. https://www.ibisworld.com/global/market-research-reports/global-commercial-real-estate-industry/
    Explore at:
    Dataset updated
    Oct 15, 2026
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2016 - 2031
    Description

    Global Commercial Real Estate is navigating a selective recovery shaped by housing shortages, uneven office demand, exceptional data-center growth and persistently high development costs. Global housing deficits rose from 251.0 million units in 2010 to 288.0 million in 2023, supporting long-term demand for professionally managed rental housing. In Europe, declining completions, elevated mortgage costs and limited affordable stock are strengthening multifamily fundamentals. Investors are responding by expanding beyond conventional apartments into single-family rentals, student and senior housing, co-living, flexible-living and subsidized housing. Office conditions are also improving, with global leasing activity rising 2.0% year over year in the second quarter of 2026. However, the recovery remains concentrated in modern, efficient and amenity-rich buildings in central or transit-connected locations. Through the end of 2026, industry revenue will climb at a CAGR of 0.8% to reach $5.6 trillion, including a gain of 2.6% in 2026 alone. Data centers remain the industry’s clearest growth engine as AI workloads rapidly absorb new capacity. Operational supply in the 16 largest global markets reached 16 GW in the first quarter of 2026, up 25.0% year over year, while average vacancy declined to 6.7%. This imbalance is shifting property values toward sites with reliable grid interconnection, substations, cooling capacity, fiber access and approvals, not simply inexpensive land. Real estate firms are broadening their role from property ownership and brokerage into digital infrastructure development and technical services. At the same time, construction-cost inflation is constraining supply across property types. Global construction costs are expected to climb 4.5% in 2026, with acute pressure on mechanical, electrical and plumbing equipment. Developers are delaying speculative projects, using phased construction, prioritizing resilient sectors and favoring acquisitions, retrofits and adaptive reuse where replacement costs exceed asset values. Looking ahead, CRE growth will increasingly depend on access to power, selective development discipline and technology-enabled operations. Global data-center electricity demand could nearly double to about 950 TWh by 2030, turning power-served industrial land into strategically valuable infrastructure and bringing landlords into closer competition and partnership with utilities, energy developers, infrastructure funds and technology operators. High costs, procurement uncertainty and financing constraints should keep new supply relatively scarce, eventually improving landlord pricing power in high-demand markets once existing oversupply clears. Urbanization will expand demand for housing, commercial space and supporting infrastructure, particularly across fast-growing Global South cities, creating opportunities in multifamily, mixed-use and public-private development. Through the end of 2031, industry revenue will gain at a 2.1% CAGR to reach $6.2 trillion.

  11. d

    Commercial Real Estate Dataset | 150+ Data Attributes Per Property |...

    • datarade.ai
    .json, .csv
    Updated Jun 7, 1999
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    Kinder Data (1999). Commercial Real Estate Dataset | 150+ Data Attributes Per Property | Nationwide Assessor & Recorder Data | Property Owner Contact Data | 97% Accuracy [Dataset]. https://datarade.ai/data-products/commercial-real-estate-dataset-150-data-attributes-per-pro-kinder-data
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Jun 7, 1999
    Dataset authored and provided by
    Kinder Data
    Area covered
    United States of America
    Description

    The KinderData Commercial Real Estate Assessor & Recorder + Tier 1 Contact Dataset provides nationwide coverage of commercial parcels across all 50 states, linking verified ownership and contact data to the most accurate property records in the U.S. Updated daily from county assessor, recorder, and corporate registry sources, KinderData delivers the unified intelligence needed for real estate investment, lending, underwriting, marketing, and analytics applications.

  12. F

    Financial Soundness Indicator; Commercial Real Estate Prices (Year-over-Year...

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2026
    + more versions
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    (2026). Financial Soundness Indicator; Commercial Real Estate Prices (Year-over-Year Percent Change), Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL010000386A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2026
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Financial Soundness Indicator; Commercial Real Estate Prices (Year-over-Year Percent Change), Level (BOGZ1FL010000386A) from 1946 to 2025 about real estate, commercial, percent, indexes, price, and USA.

  13. m

    China Commercial Real Estate Market Dataset

    • mordorintelligence.com
    pdf, xlsx
    Updated Mar 9, 2026
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    Mordor Intelligence (2026). China Commercial Real Estate Market Dataset [Dataset]. https://www.mordorintelligence.com/industry-reports/china-commercial-real-estate-market
    Explore at:
    pdf, xlsxAvailable download formats
    Dataset updated
    Mar 9, 2026
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/terms-and-conditionshttps://www.mordorintelligence.com/terms-and-conditions

    Time period covered
    2020 - 2031
    Area covered
    China
    Variables measured
    Market Size (2026), Market Size (2031), Market Concentration, Growth Rate (2026 - 2031), Base Year Market Size (2025)
    Description

    Complete dataset included in the full report. Detailed tables, regional splits, forecasts, and methodologies are available with purchase.

  14. M

    Commercial Real Estate Prices - Year-over-Year Change (1946-2026)

    • macrotrends.net
    html
    Updated Jun 1, 2026
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    MACROTRENDS (2026). Commercial Real Estate Prices - Year-over-Year Change (1946-2026) [Dataset]. https://www.macrotrends.net/5304/commercial-real-estate-prices-year-over-year-change
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 1, 2026
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1946 - 2026
    Area covered
    United States
    Description

    Interactive monthly chart and 80 years of historical data from 1946 to 2026.

  15. r

    Commercial real estate property managers based in Phoenix, United States

    • revenuebase.ai
    Updated Oct 10, 2026
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    RevenueBase (2026). Commercial real estate property managers based in Phoenix, United States [Dataset]. https://revenuebase.ai/companies/commercial-real-estate-property-managers/united-states/phoenix
    Explore at:
    Dataset updated
    Oct 10, 2026
    Dataset authored and provided by
    RevenueBase
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Phoenix, United States
    Measurement technique
    Semantic matching of company business descriptions compiled by RevenueBase from its company graph, using RevenueBase SmartSearch at Exact. Method: https://revenuebase.ai/blog/how-revenuebase-company-lists-are-built
    Description

    113 company records matching commercial real estate property managers associated with Phoenix, United States with size bands, recorded city locations, and verified-contact coverage. Compiled by RevenueBase from its company graph.

  16. Monthly rent of commercial real estate in the U.S. 2025, by property type

    • www-statista-com.zproxy.org
    Updated Mar 12, 2026
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    Statista Research Department (2026). Monthly rent of commercial real estate in the U.S. 2025, by property type [Dataset]. https://www-statista-com.zproxy.org/topics/1073/commercial-property/
    Explore at:
    Dataset updated
    Mar 12, 2026
    Dataset provided by
    Statistahttps://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In the first quarter of 2025, offices yielded the highest rent in the U.S. commercial real estate market. The average effective rent for office space amounted to 28.38 U.S. dollars per square foot, which was approximately 7.6 U.S. dollars below the asking rent.

  17. r

    Commercial real estate property managers based in Omaha, United States

    • revenuebase.ai
    Updated Oct 10, 2026
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    RevenueBase (2026). Commercial real estate property managers based in Omaha, United States [Dataset]. https://revenuebase.ai/companies/commercial-real-estate-property-managers/united-states/omaha
    Explore at:
    Dataset updated
    Oct 10, 2026
    Dataset authored and provided by
    RevenueBase
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Omaha, United States
    Measurement technique
    Semantic matching of company business descriptions compiled by RevenueBase from its company graph, using RevenueBase SmartSearch at Exact. Method: https://revenuebase.ai/blog/how-revenuebase-company-lists-are-built
    Description

    46 company records matching commercial real estate property managers associated with Omaha, United States with size bands, recorded city locations, and verified-contact coverage. Compiled by RevenueBase from its company graph.

  18. b

    Commercial Property Owner Contacts

    • banu.ai
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    Banu, Commercial Property Owner Contacts [Dataset]. https://www.banu.ai/property-owner-data/commercial
    Explore at:
    Dataset authored and provided by
    Banu
    License

    https://banu.ai/termshttps://banu.ai/terms

    Area covered
    United States
    Variables measured
    Phone number, Email address, Mailing address, Owner full name, Industry / asset type, Property or business address, Geographic location (state, county, city, ZIP)
    Description

    Nationwide database of verified commercial property owner records with mailing address, phone, and email.

  19. Commercial Real Estate Market Overview: Sales, Top Transactions

    • propertyshark.com
    Updated Jun 17, 2026
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    PropertyShark (2026). Commercial Real Estate Market Overview: Sales, Top Transactions [Dataset]. https://www.propertyshark.com/mason/market-trends/commercial/nyc/manhattan
    Explore at:
    Dataset updated
    Jun 17, 2026
    Dataset provided by
    PropertyShark
    Time period covered
    2016 - 2026
    Area covered
    Manhattan
    Variables measured
    Sales Volume, Total Sq. Ft. Sold, Number of Transactions, Median Sale Price per Sq. Ft.
    Description

    Manhattan Commercial Market Trends

  20. Volume of U.S. commercial real estate transactions 2007-2022, with a...

    • www-statista-com.zproxy.org
    Updated Apr 16, 2020
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    Statista Research Department (2020). Volume of U.S. commercial real estate transactions 2007-2022, with a forecast by 2024 [Dataset]. http://www-statista-com.zproxy.org/study/80175/impact-of-the-coronavirus-covid-19-pandemic-on-us-real-estate/
    Explore at:
    Dataset updated
    Apr 16, 2020
    Dataset provided by
    Statistahttps://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In 2022, the volume of commercial real estate transactions reached 752 billion U.S. dollars, up from 427 billion U.S. dollars in 2020. One of the reasons for the surge was the pandemic and the release of pent-up demand as the economy reopened. A real estate transaction refers to the process of passing the rights in a property unit from the seller to the buyer in return for an agreed upon sum. Effect of 2007-2008 credit crisis The U.S. real estate market reached its peak in 2007, just before the 2007-2008 credit crisis when the property market collapsed. The value of commercial property returns dropped between 2007 and 2009. Since 2010, the market has steadily recovered, and the volume of transactions climbed until 2015, and has levelled out since then. Types of commercial real estate The change in overall transaction volume is most likely impacted by the type of commercial properties which are more attractive to investors in a particular period. For instance, the interest in multifamily housing investment opportunities went down in the same period that interest in hotel investment opportunities went up.

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Statista Research Department (2026). Median transaction price of commercial real estate in the U.S. 2025, property type [Dataset]. https://www.statista.com/topics/1073/commercial-property/
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Median transaction price of commercial real estate in the U.S. 2025, property type

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Dataset updated
Mar 12, 2026
Dataset provided by
Statistahttps://statista.com/
Authors
Statista Research Department
Area covered
United States
Description

Multifamily properties had the highest median square footage price in the U.S. commercial real estate sector in the third quarter of 2025. Multifamily properties sold during that period had a median price of 144 U.S. dollars per square foot. Conversely, commercial general and mixed use properties had the lowest price, at 102 U.S. dollars per square foot.

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