Graph and download economic data for Zillow Home Value Index (ZHVI) for All Homes Including Single-Family Residences, Condos, and CO-OPs in the United States of America (USAUCSFRCONDOSMSAMID) from Jan 2000 to Jan 2025 about 1-unit structures, family, residential, housing, indexes, and USA.

Graph and download economic data for Zillow Home Value Index (ZHVI) for All Homes Including Single-Family Residences, Condos, and CO-OPs in New York (NYUCSFRCONDOSMSAMID) from Jan 2000 to Feb 2025 about 1-unit structures, family, residential, NY, housing, indexes, and USA.

VITAL SIGNS INDICATOR Home Prices (EC7)

FULL MEASURE NAME Home Prices

LAST UPDATED August 2019

DESCRIPTION Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

DATA SOURCE Zillow Median Sale Price (1997-2018) http://www.zillow.com/research/data/

Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1997-2018; specific to each metro area) http://data.bls.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Median housing price estimates for the region, counties, cities, and zip code come from analysis of individual home sales by Zillow. The median sale price is the price separating the higher half of the sales from the lower half. In other words, 50 percent of home sales are below or above the median value. Zillow defines all homes as single-family residential, condominium, and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that you own in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums where the homeowners own shares in the corporation that owns the building, not the actual units themselves.

For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Home sales prices are not reliably available for Houston, because Texas is a non-disclosure state. For more information on non-disclosure states, see: http://www.zillow.com/blog/chronicles-of-data-collection-ii-non-disclosure-states-3783/

Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

Zillow reigns supreme in the U.S. real estate website landscape, attracting a staggering 365.8 million monthly visits in 2024. This figure dwarfs its closest competitor, Realtor.com, which garnered less than half of Zillow's traffic. Online platforms are extremely popular, with the majority of homebuyers using a mobile device during the buying process. The rise of Zillow Founded in 2006, the Seattle-headquartered proptech Zillow has steadily grown over the years, establishing itself as the most popular U.S. real estate website. In 2023, the listing platform recorded about 214 million unique monthly users across its mobile applications and website. Despite holding an undisputed position as a market leader, Zillow's revenue has decreased since 2021. A probable cause for the decline is the plummeting of housing transactions and the negative housing sentiment. Performance and trends in the proptech market The proptech market has shown remarkable performance, with companies like Opendoor and Redfin experiencing significant stock price increase in 2023. This growth is particularly notable in the residential brokerage segment. Meanwhile, major players in proptech fundraising, such as Fifth Wall and Hidden Hill Capital, have raised billions in direct investment, further fueling the sector's development. As technology continues to reshape the real estate industry, online platforms like Zillow are likely to play an increasingly crucial role in how people search for and purchase homes. (1477916, 1251604)

Graph and download economic data for Interest Rates and Price Indexes; Owner-Occupied Real Estate Zillow ZHVI Index (NSA), Level (BOGZ1FL075035263A) from 1975 to 2024 about owner-occupied, real estate, interest rate, interest, rate, price index, indexes, price, and USA.

The number of visits to Zillow website and mobile application increased by almost 30 percent from 2019 to 2022, peaking at 10.5 billion visits. In 2023, the visits count decreased by five percent due to macro housing market factors including low housing inventory, fewer new for-sale listings, increases and volatility in mortgage interest rates as well as home price fluctuations.

Searchable online database of homes for sale, rent, and not currently on the market, with value estimator, market report, and real-estate trend tool. Users search by location (neighborhood, city, zip code, address) and parameters, such as property specifications, pricing, and keyword. Registration allows for favorite listing saving, customized property e-mail alerts, and other privileges. Users can also access real-estate listing data through an API.

VITAL SIGNS INDICATOR
Home Prices (EC7)

FULL MEASURE NAME
Home Prices

LAST UPDATED
December 2022

DESCRIPTION
Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

DATA SOURCE
Zillow: Zillow Home Value Index (ZHVI) - http://www.zillow.com/research/data/
2000-2021

California Department of Finance: E-4 Historical Population Estimates for Cities, Counties, and the State - https://dof.ca.gov/forecasting/demographics/estimates/
2000-2021

US Census Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html
2000-2021

Bureau of Labor Statistics: Consumer Price Index - http://data.bls.gov
2000-2021

US Census ZIP Code Tabulation Areas (ZCTAs) - https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html
2020 Census Blocks

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Housing price estimates at the regional-, county-, city- and zip code-level come from analysis of individual home sales by Zillow based upon transaction records. Zillow Home Value Index (ZHVI) is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. ZHVI is computed from public record transaction data as reported by counties. All standard real estate transactions are included in this metric, including REO sales and auctions. Zillow makes a substantial effort to remove transactions not typically considered a standard sale. Examples of these include bank takeovers of foreclosed properties, title transfers after a death or divorce and non arms-length transactions. Zillow defines all homes as single-family residential, condominium and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that can be owned in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums in that the homeowners own shares in the corporation that owns the building, not the actual units themselves.

For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Data is adjusted for inflation using Bureau of Labor Statistics metropolitan statistical area (MSA)-specific series. Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index (CPI) does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of the CPI itself.

VITAL SIGNS INDICATOR List Rents (EC9)

FULL MEASURE NAME List Rents

LAST UPDATED October 2016

DESCRIPTION List rent refers to the advertised rents for available rental housing and serves as a measure of housing costs for new households moving into a neighborhood, city, county or region.

DATA SOURCE real Answers (1994 – 2015) no link

Zillow Metro Median Listing Price All Homes (2010-2016) http://www.zillow.com/research/data/

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) List rents data reflects median rent prices advertised for available apartments rather than median rent payments; more information is available in the indicator definition above. Regional and local geographies rely on data collected by real Answers, a research organization and database publisher specializing in the multifamily housing market. real Answers focuses on collecting longitudinal data for individual rental properties through quarterly surveys. For the Bay Area, their database is comprised of properties with 40 to 3,000+ housing units. Median list prices most likely have an upward bias due to the exclusion of smaller properties. The bias may be most extreme in geographies where large rental properties represent a small portion of the overall rental market. A map of the individual properties surveyed is included in the Local Focus section.

Individual properties surveyed provided lower- and upper-bound ranges for the various types of housing available (studio, 1 bedroom, 2 bedroom, etc.). Median lower- and upper-bound prices are determined across all housing types for the regional and county geographies. The median list price represented in Vital Signs is the average of the median lower- and upper-bound prices for the region and counties. Median upper-bound prices are determined across all housing types for the city geographies. The median list price represented in Vital Signs is the median upper-bound price for cities. For simplicity, only the mean list rent is displayed for the individual properties. The metro areas geography rely upon Zillow data, which is the median price for rentals listed through www.zillow.com during the month. Like the real Answers data, Zillow's median list prices most likely have an upward bias since small properties are underrepresented in Zillow's listings. The metro area data for the Bay Area cannot be compared to the regional Bay Area data. Due to afore mentioned data limitations, this data is suitable for analyzing the change in list rents over time but not necessarily comparisons of absolute list rents. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

Due to the limited number of rental properties surveyed, city-level data is unavailable for Atherton, Belvedere, Brisbane, Calistoga, Clayton, Cloverdale, Cotati, Fairfax, Half Moon Bay, Healdsburg, Hillsborough, Los Altos Hills, Monte Sereno, Moranga, Oakley, Orinda, Portola Valley, Rio Vista, Ross, San Anselmo, San Carlos, Saratoga, Sebastopol, Windsor, Woodside, and Yountville.

Inflation-adjusted data are presented to illustrate how rents have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself. Percent change in inflation-adjusted median is calculated with respect to the median price from the fourth quarter or December of the base year.

Graph and download economic data for Zillow Home Value Index (ZHVI) for All Homes Including Single-Family Residences, Condos, and CO-OPs in the District of Columbia (DCUCSFRCONDOSMSAMID) from Jan 2000 to Feb 2025 about DC, 1-unit structures, family, residential, housing, indexes, and USA.

Graph and download economic data for Zillow Home Value Index (ZHVI) for All Homes Including Single-Family Residences, Condos, and CO-OPs in Virginia (VAUCSFRCONDOSMSAMID) from Jan 2000 to Jan 2025 about 1-unit structures, family, VA, residential, housing, indexes, and USA.

Graph and download economic data for Zillow Home Value Index (ZHVI) for All Homes Including Single-Family Residences, Condos, and CO-OPs in Massachusetts (MAUCSFRCONDOSMSAMID) from Jan 2000 to Feb 2025 about 1-unit structures, MA, family, residential, housing, indexes, and USA.

The real estate brokerage software market, currently valued at $1759.79 million in 2025, is projected to experience robust growth, driven by the increasing adoption of technology within the real estate sector. A Compound Annual Growth Rate (CAGR) of 9.33% from 2025 to 2033 signifies a substantial market expansion, reaching an estimated value exceeding $4000 million by 2033. This growth is fueled by several key factors. The demand for streamlined transaction management, efficient lead generation tools, and robust customer relationship management (CRM) systems are compelling brokerages to adopt sophisticated software solutions. Furthermore, the rise of cloud-based deployments offers flexibility and scalability, attracting smaller and medium-sized brokerages previously unable to afford on-premise systems. The market is segmented by application (residential, commercial, industrial), deployment (cloud-based, on-premises), and functionality (CRM, transaction management, lead generation, property management, and others). The competitive landscape is dynamic, with established players like Zillow Group Inc., Salesforce Inc., and Yardi Systems Inc. alongside innovative startups vying for market share through strategic partnerships, acquisitions, and continuous product development. The increasing sophistication of these platforms, incorporating features like AI-powered lead scoring, market analysis tools, and integrated communication channels, further fuels market growth. The residential segment currently dominates, but the commercial and industrial sectors are poised for significant growth as these segments increasingly embrace technology-driven solutions for property management and deal closing. The continued evolution of consumer expectations, demanding more seamless and transparent real estate transactions, is a key driver. Brokerages seeking a competitive edge are investing in software that enhances client engagement and streamlines administrative tasks, resulting in increased efficiency and profitability. While the initial investment in software can be a barrier for some, the long-term benefits in terms of reduced operational costs, improved client satisfaction, and increased market share significantly outweigh the initial expenditure. The market's geographical spread is concentrated, with the US representing a significant share, but global expansion is expected as technology adoption increases across diverse markets. Regulatory compliance will likely play a larger role in software development and adoption, further shaping the market's evolution. Ultimately, the real estate brokerage software market is positioned for continued expansion, driven by technological advancements and the ever-increasing need for efficiency and improved client experience within the real estate industry.

The US commercial real estate (CRE) market, valued at $1.66 trillion in 2025, is projected to experience steady growth, driven by several key factors. Strong economic fundamentals, including a robust job market and increasing demand for office, retail, and industrial space in major metropolitan areas like New York, Los Angeles, and Chicago, contribute to this positive outlook. The ongoing expansion of e-commerce fuels the demand for logistics and warehousing facilities, while the multi-family sector benefits from population growth and urbanization trends. However, rising interest rates and potential economic slowdown pose challenges, potentially impacting investment activity and rental growth. The diverse range of property types within the CRE market creates opportunities and risks. Office space faces ongoing adaptation to hybrid work models, requiring landlords to enhance amenities and improve workplace flexibility. Retail spaces are undergoing transformation, with a focus on experiential retail and omni-channel strategies to compete with online retailers. The industrial and logistics sector remains strong, driven by continued e-commerce growth and supply chain optimization efforts. Competition among CRE companies like Zillow, Keller Williams, and CBRE remains fierce, emphasizing the need for innovation in property management and technological advancements in market analysis and transaction processes. While several cities experience robust growth, others might face localized challenges that influence individual market dynamics. The overall trajectory suggests a moderate expansion, albeit with variations across sectors and geographic locations. Careful consideration of these factors is crucial for successful investment and strategic decision-making within the US CRE industry. The forecast period of 2025-2033 suggests a continuation of these trends. While the 2.61% CAGR indicates a moderate growth rate, significant variations are expected across specific segments. The industrial and logistics sectors are likely to outperform others due to sustained demand, while office space may exhibit slower growth reflecting the ongoing adjustments to hybrid work. Regional variations will also be significant, with major metropolitan areas and technology hubs likely leading the growth trajectory. Understanding these nuances and deploying appropriate risk mitigation strategies will be vital for all stakeholders in the US commercial real estate market. This comprehensive report provides an in-depth analysis of the USA commercial real estate industry, covering the period from 2019 to 2033. With a focus on key market segments – offices, retail, industrial, logistics, multi-family, and hospitality – across major cities like New York, Los Angeles, Chicago, San Francisco, Boston, Denver, Houston, Phoenix, Atlanta, and Salt Lake City, this report offers invaluable insights for investors, developers, and industry professionals. The study utilizes 2025 as the base and estimated year, with a forecast period spanning 2025-2033 and a historical period covering 2019-2024. This report projects the market value in the billions of dollars, providing granular data and analysis of market dynamics. Key drivers for this market are: Increasing number of startups. Potential restraints include: Low Awareness and Privacy Issues. Notable trends are: Industrial Sector Expected to Record High Demand.

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The online home rental services market is experiencing robust growth, driven by increasing urbanization, the rise of the sharing economy, and the convenience offered by digital platforms. The market size in 2025 is estimated at $150 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth trajectory is fueled by several factors. Firstly, the increasing popularity of short-term rentals for leisure and business travel is significantly boosting demand. Secondly, technological advancements, including improved search functionalities, secure payment gateways, and enhanced user interfaces, are improving the overall user experience and driving platform adoption. Thirdly, the expansion of the market into emerging economies with a burgeoning middle class and increased internet penetration contributes to this impressive growth. However, regulatory challenges in various regions, concerns about property security, and the need for effective dispute resolution mechanisms pose some restraints. Segment-wise, apartments and villas represent the largest share of the market, particularly within the commercial application for short-term rentals. However, the growth of the hostel and B&B segments is particularly notable due to budget-conscious travelers and the popularity of experiential tourism. Key players such as Airbnb, Booking.com, and Zillow continue to dominate the market, though increased competition from regional players and innovative startups is anticipated. The Asia-Pacific region, particularly China and India, is experiencing the fastest growth, driven by rapid urbanization and a growing tourism sector. North America and Europe maintain significant market share due to established tourism infrastructure and strong consumer adoption. The forecast suggests continued expansion for the online home rental services market, with substantial growth opportunities for both established and emerging players.

Graph and download economic data for Interest Rates and Price Indexes; Owner-Occupied Real Estate Zillow AVM Based National (NSA), Level (BOGZ1FL075035233A) from 1945 to 2024 about owner-occupied, real estate, interest rate, interest, rate, price index, indexes, price, and USA.

Graph and download economic data for Zillow Home Value Index (ZHVI) for All Homes Including Single-Family Residences, Condos, and CO-OPs in Florida (FLUCSFRCONDOSMSAMID) from Jan 2000 to Feb 2025 about 1-unit structures, family, residential, FL, housing, indexes, and USA.

The PropTech agent tool market is projected to grow from $13.24 billion in 2025 to $24.02 billion by 2033, exhibiting a CAGR of 9.52% during the forecast period. The rising adoption of digital technologies in the real estate sector, increasing demand for efficient agent tools for lead generation, customer relationship management, and transaction management, and growing awareness of the benefits of PropTech solutions among real estate professionals are fueling market growth. Key trends shaping the market include the proliferation of cloud-based agent tools, offering flexibility and accessibility; the integration of artificial intelligence and machine learning to enhance tool capabilities; and the growing popularity of hybrid deployment models, providing a balance of customization and cost-effectiveness. Additionally, the increasing number of real estate startups offering innovative agent tools and the expanding adoption of PropTech solutions in emerging markets are expected to drive future market expansion. Among the key players in the market are HomeSnap, Homelight, Zillow, CoStar Group, AppFolio, Realtor.com, Propti, Purplebricks, Compass, Opendoor, Redfin, Trulia, PropertyNest, Buildium, and Realty Income Corporation. Recent developments include: Recent developments in the PropTech Agent Tool Market have showcased significant advancements and shifts among key players such as Zillow, Redfin, and Opendoor. Zillow has been expanding its offerings, leveraging data analytics to enhance user experience while increasing its market share. In parallel, Redfin has reported a growth in home sales as it embraces technology to streamline real estate transactions. Opendoor continues to innovate its acquisition strategies, allowing for quicker sales processes, which is reshaping market dynamics. There have been notable mergers and acquisitions within the sector as well, with HomeLight acquiring certain assets from other startups, reinforcing its position. Moreover, Realtor.com and CoStar Group are collaborating on improved property listings, enhancing visibility for agents. Market valuations for these companies are on the rise, with firms like Compass and AppFolio experiencing increased investments, indicating growing confidence in the digital transformation of real estate processes. This influx of capital is impacting the overall competitive landscape, pushing companies to adopt more sophisticated technologies and offerings to meet evolving consumer demands and expectations within the industry.. Key drivers for this market are: AI-driven property management solutions, Enhanced virtual property tours; Integration with smart home technology; Data analytics for market insights; Automation in transaction processes. Potential restraints include: Technological advancements in real estate, Increasing demand for automation; Enhanced user experience expectations; Growing investment in PropTech; Rise of data analytics usage.