Zillow reigns supreme in the U.S. real estate website landscape, attracting a staggering ***** 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 *** 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 Housing Inventory: Active Listing Count in the United States (ACTLISCOUUS) from Jul 2016 to May 2025 about active listing, listing, and USA.

In March 2025, the Walt Disney Company properties were ranked first among the most popular multiplatform web properties in the United States with over 249 million visitors from mobile and desktop connections – popular Disney online properties include Disney Entertainment, which consists of the company's film, television, music, and streaming media assets, and ESPN, among other online services.

Graph and download economic data for Housing Inventory: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to May 2025 about median and USA.

Online residential home listing companies manage a virtual marketplace, providing services connecting residential home sellers to buyers. Through 2023, online listing services have performed exceedingly well, as residential home sales have increased due to solid homeownership rates due to favorable mortgage rates in the early part of the period and a scorching hot residential real estate market caused by the COVID-19 pandemic. Due to a good economic climate followed by migration shifts, industry-wide revenue has been growing at a CAGR of 2.5% over the past five years and is expected to total $1.8 billion in 2023. In the same year, revenue is expected to dip to an estimated 4.8%.During the COVID-19 pandemic, larger listing platforms capitalized on surging consumer demand from urban flight and strong net migration out of high-income tax states. But ceaseless appreciation of home values will price many consumers out of the homeownership market. That, along with rising mortgage rates and inflation, may curb growth in home sales and limit future demand growth.The industry revenue is expected to grow, albeit at a significantly diminished pace, resulting from expected high and rising mortgage rates. But profit is expected to remain robust as consolidations bring economies. Stellar service innovations and system technology (mobile apps, virtual tours, 3D imaging, augmented reality, artificial intelligence, online document management, virtual assistants, chatbots) will dampen wages, elevate the search experience and streamline and enhance sellers' journey. Underlying the tech changes is a growing tech-savvy home-purchasing demographic and an aging population looking to downsize. Strict data privacy regulations may raise costs and competing substitutes steal some users, but overall, industry revenue is forecast to grow at a CAGR of 0.5% through 2028 to total $1.9 billion.

The Real Estate Services industry has faced mixed conditions over recent years. Despite the recent improvement in housing supply and the piling up of inventory, prices remain elevated relative to pre-pandemic levels, offsetting revenue declines for real estate agents. A demand-supply imbalance led to historically high housing prices in 2021-22, though tighter loan-to-value ratio (LVR) regulations and heightened interest rates curbed real estate activity and weakened prices over the two years through 2023-24. The bright-line test extension in 2021 cooled speculative investment, diminishing property investors' interest. Residential property transactions plunged in 2022-23 as cost-of-living pressures and soaring borrowing expenses weighed on mortgage affordability. As inflation moderates and the official cash rate has come down since August 2024, sales volumes and demand will pick up. That's why revenue is forecast to climb 2.8% in 2024-25. However, a plunge in property transactions is why revenue is expected to have dipped at an annualised 0.4% over the five years through 2024-25 to $6.2 billion. The commercial market has faced shifting tenant preferences, particularly around remote work arrangements, contributing to elevated office vacancy rates. Nonetheless, booming demand for industrial space and interest in green buildings has yielded new opportunities. Concurrently, the widespread adoption of artificial intelligence has boosted operational efficiency for many real estate agencies, underpinning growth in their profit margins and alleviating some wage pressures. The Coalition government’s reinstatement of 80% interest deductibility for residential investment properties in April 2024, with a plan to reach 100% by April 2025, alongside the rollback of the bright-line test from 10 to 2 years, will spur investor activity and escalate property prices. These policy changes will entice property investors, expanding this market's revenue share over the coming years and benefiting real estate agencies. Consecutive cuts to the official cash rate to counter subdued economic activity will strengthen mortgage affordability and promote a resurgence in the residential property market. However, an expanding housing supply – aided by funding for social housing units and relaxed planning restrictions – will temper price escalation and slow agencies' commission growth over the coming years. Rising competition among real estate agencies and the continued adoption of digital tools, from big data analytics to advanced customer management solutions, will intensify market dynamics, creating opportunities and challenges for prospective and existing agents. Overall, revenue is forecast to climb at an annualised 2.2% over the five years through 2029-30 to $6.9 billion.

In May 2023, Google Sites attracted the largest number of visitors in Brazil, with about 130.8 million people visiting these pages. Facebook ranked second with nearly 126.1 million, while Globo came in fifthwith more than 92.7 million unique visitors.

Total Housing Inventory in the United States increased to 1540 Thousands in May from 1450 Thousands in April of 2025. This dataset includes a chart with historical data for the United States Total Housing Inventory.

Graph and download economic data for Housing Inventory: Active Listing Count in San Diego County, CA (ACTLISCOU6073) from Jul 2016 to Dec 2024 about San Diego County, CA; San Diego; active listing; CA; listing; and USA.

Top 10 script URLs on GHW web pages of all DACH countries using at least 15 different window properties.

Graph and download economic data for Housing Inventory: Active Listing Count in Tampa-ST. Petersburg-Clearwater, FL (CBSA) (ACTLISCOU45300) from Jul 2016 to May 2025 about Tampa, active listing, FL, listing, and USA.

Graph and download economic data for Housing Inventory: Active Listing Count in Fairfax County, VA (ACTLISCOU51059) from Jul 2016 to May 2025 about Fairfax County, VA; Washington; active listing; VA; listing; and USA.

Update 10/31/2023: Sales are no longer filtered out of this data set based on deed type, sale price, or recency of sale for a given PIN with the same price. If users wish to recreate the former filtering schema they should set sale_filter_same_sale_within_365, sale_filter_less_than_10k, and sale_filter_deed_type to False.

Parcel sales for real property in Cook County, from 1999 to present. The Assessor's Office uses this data in its modeling to estimate the fair market value of unsold properties.

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.

Sale document numbers correspond to those of the Cook County Clerk, and can be used on the Clerk's website to find more information about each sale.

NOTE: These sales are filtered, but likely include non-arms-length transactions - sales less than $10,000 along with quit claims, executor deeds, beneficial interests are excluded. While the Data Department will upload what it has access to monthly, sales are reported on a lag, with many records not populating until months after their official recording date.

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.

For more information on the sourcing of attached data and the preparation of this dataset, see the Assessor's Standard Operating Procedures for Open Data on GitHub.

Read about the Assessor's 2025 Open Data Refresh.

These National Statistics provide monthly estimates of the number of residential and non-residential property transactions in the UK and its constituent countries. National Statistics are accredited official statistics.

England and Northern Ireland statistics are based on information submitted to the HM Revenue and Customs (HMRC) Stamp Duty Land Tax (SDLT) database by taxpayers on SDLT returns.

Land and Buildings Transaction Tax (LBTT) replaced SDLT in Scotland from 1 April 2015 and this data is provided to HMRC by https://www.revenue.scot/" class="govuk-link">Revenue Scotland to continue the time series.

Land Transaction Tax (LTT) replaced SDLT in Wales from 1 April 2018. To continue the time series, the https://gov.wales/welsh-revenue-authority" class="govuk-link">Welsh Revenue Authority (WRA) have provided HMRC with a monthly data feed of LTT transactions since July 2021.

LTT figures for the latest month are estimated using a grossing factor based on data for the most recent and complete financial year. Until June 2021, LTT transactions for the latest month were estimated by HMRC based upon year on year growth in line with other UK nations.

LTT transactions up to the penultimate month are aligned with LTT statistics.

Go to Stamp Duty Land Tax guidance for the latest rates and information.

Go to Stamp Duty Land Tax rates from 1 December 2003 to 22 September 2022 and Stamp Duty: rates on land transfers before December 2003 for historic rates.

The latest release was published 09:30 27 June 2025 and was updated with provisional data from completed transactions during May 2025.

The next release will be published 09:30 31 July 2025 and will be updated with provisional data from completed transactions during June 2025.

https://webarchive.nationalarchives.gov.uk/ukgwa/20240320184933/https://www.gov.uk/government/statistics/monthly-property-transactions-completed-in-the-uk-with-value-40000-or-above" class="govuk-link">Archive versions of the Monthly property transactions completed in the UK with value of £40,000 or above are available via the UK Government Web Archive, from the National Archives.

Graph and download economic data for Housing Inventory: Active Listing Count in Dallas-Fort Worth-Arlington, TX (CBSA) (ACTLISCOU19100) from Jul 2016 to May 2025 about Dallas, active listing, listing, TX, and USA.

Context

This dataset contains information on rent pricing surrounding Kuala Lumpur and Selangor region, Malaysia. The information was scraped from mudah.my

Content

There are 13 features with one unique ids (ads_id) and one target feature (monthly_rent)

• ads_id: the listing ids (unique)
• prop_name: name of the building/ property
• completion_year: completion/ established year of the property
• monthly_rent: monthly rent in ringgit malaysia (RM)
• location: property location in Kuala Lumpur region
• property_type:property type such as apartment, condominium, flat, duplex, studio, etc
• rooms: number of rooms in the unit
• parking: number of parking space for the unit
• bathroom: number of bathrooms in the unit
• size: total area of the unit in square feet
• furnished: furnishing status of the unit (fully, partial, non-furnished)
• facilities: main facilities available
• additional_facilities: additional facilities (proximity to attraction area, mall, school, shopping, railways, etc)

Acknowledgements The data was scraped from mudah.my

Inspiration I have been living in Kuala Lumpur, Malaysia since 2017, and in the past there was no easy way to understand whether certain unit pricing is making sense or not. With this dataset, I wanted to be able to answer the following questions:

• What are the biggest factor affecting the unit/rent pricing?
• Which location in Kuala Lumpur/ Selangor region that has the highest rent price? etc?

The Japan Property and Casualty Insurance Market is Segmented Into Insurance Type (Property Insurance (Residential, Commercial, and More), Auto Insurance (Personal and Commercial Auto), Liability Insurance (Marine, Aviation and Transit, and More)), Distribution Channel (Direct, Agency Network, and More), End User (Individuals, Smes, Large Corporations, and More), and Region. The Market Forecasts are Provided in Value (USD).

The current average price per night globally on Airbnb is $137 per night.

Listings per region on Airbnb declined from 2020 to 2021. Globally in 2021, there were a total of 12.7 million listings.