100+ datasets found
  1. w

    Global Housing Watch, House Price-to-Income Ratio Around the World

    • data360.worldbank.org
    Updated Apr 18, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Global Housing Watch, House Price-to-Income Ratio Around the World [Dataset]. https://data360.worldbank.org/en/dataset/IMF_GHW
    Explore at:
    Dataset updated
    Apr 18, 2025
    Area covered
    World
    Description

    The Global Housing Watch tracks developments in housing markets across the world on a quarterly basis. It provides current data on house prices as well as metrics used to assess valuation in housing markets, such as house price‑to‑rent and house-price‑to‑income ratios.

    This collection includes only a subset of indicators from the source dataset.

  2. House price index in emerging and advanced economies worldwide 2008-2024, by...

    • statista.com
    Updated May 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). House price index in emerging and advanced economies worldwide 2008-2024, by quarter [Dataset]. https://www.statista.com/statistics/1427342/house-price-index-emerging-and-advanced-economies-worldwide/
    Explore at:
    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Global house prices experienced a significant shift in 2022, with advanced economies seeing a notable decline after a prolonged period of growth. The real house price index (adjusted for inflation) for advanced economies peaked at nearly *** index points in early 2022 before falling to around ****** points by the fourth quarter of 2024. This represents a reversal of the upward trend that had characterized the housing market for roughly a decade. Conversely, real house prices in emerging economies resumed growing, after a brief correction in the second half of 2022. What is behind the slowdown? Inflation and slow economic growth have been the primary drivers for the cooling of the housing market. Secondly, the growing gap between incomes and house prices since 2012 has decreased the affordability of homeownership. Last but not least, homebuyers in 2024 faced dramatically higher mortgage interest rates, further contributing to worsening sentiment and declining transactions. Some markets continue to grow While many countries witnessed a deceleration in house price growth in 2022, some markets continued to see substantial increases. Turkey, in particular, stood out with a nominal increase in house prices of over ** percent in the first quarter of 2024. Other countries that recorded a two-digit growth include Russia and the United Arab Emirates. When accounting for inflation, the three countries with the fastest growing residential prices in early 2024 were the United Arab Emirates, Poland, and Bulgaria.

  3. United States House Prices Growth

    • ceicdata.com
    Updated Nov 27, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2021). United States House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/house-prices-growth
    Explore at:
    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    United States
    Description

    Key information about House Prices Growth

    • US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
    • House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

    CEIC calculates House Prices Growth from quarterly House Price Index. Federal Housing Finance Agency provides House Price Index with base January 1991=100.

  4. Countries with the highest inflation-adjusted house price growth worldwide...

    • statista.com
    • ai-chatbox.pro
    Updated May 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Countries with the highest inflation-adjusted house price growth worldwide 2024 [Dataset]. https://www.statista.com/statistics/237527/house-price-changes-five-year-trend/
    Explore at:
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the fourth quarter of 2024, the Bulgaria, Spain, and Portugal registered the highest house price increase in real terms (adjusted for inflation). In Bulgaria, house prices outgrew inflation by nearly ** percent. When comparing the nominal price change, which does not take inflation into consideration, the average house price growth was even higher.

    Meanwhile, many countries experienced declining prices, with Turkey recording the biggest decline, at ** percent. That has to do with a broader trend of a slowing global housing market.

  5. T

    HOUSING STARTS by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 28, 2013
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2013). HOUSING STARTS by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/housing-starts
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Sep 28, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for HOUSING STARTS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  6. T

    HOUSING INDEX by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 16, 2013
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2013). HOUSING INDEX by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/housing-index
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jul 16, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for HOUSING INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  7. Most expensive housing markets worldwide 2020

    • statista.com
    Updated Jun 9, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2022). Most expensive housing markets worldwide 2020 [Dataset]. https://www.statista.com/statistics/1040698/most-expensive-property-markets-worldwide/
    Explore at:
    Dataset updated
    Jun 9, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    In 2020, Hong Kong had the most expensive residential property market worldwide, with an average property price of 1.25 million U.S. dollars. The government of Hong Kong provide public housing for lower-income residents and almost 45 percent of the Hong Kong population lived in public permanent housing in 2018.

  8. United States Housing Affordability Index: Fixed

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). United States Housing Affordability Index: Fixed [Dataset]. https://www.ceicdata.com/en/united-states/housing-affordability-index/housing-affordability-index-fixed
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2017 - Feb 1, 2018
    Area covered
    United States
    Variables measured
    Household Affordability
    Description

    United States Housing Affordability Index: Fixed data was reported at 146.900 NA in Oct 2018. This records a decrease from the previous number of 147.400 NA for Sep 2018. United States Housing Affordability Index: Fixed data is updated monthly, averaging 127.900 NA from Jan 1989 (Median) to Oct 2018, with 357 observations. The data reached an all-time high of 212.800 NA in Jan 2013 and a record low of 97.600 NA in May 1989. United States Housing Affordability Index: Fixed data remains active status in CEIC and is reported by National Association of Realtors. The data is categorized under Global Database’s United States – Table US.EB018: Housing Affordability Index.

  9. Real Estate Market Size and Share | Statistics – 2030

    • nextmsc.com
    pdf,excel,csv,ppt
    Updated Jul 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Next Move Strategy Consulting (2025). Real Estate Market Size and Share | Statistics – 2030 [Dataset]. https://www.nextmsc.com/report/real-estate-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Next Move Strategy Consulting
    License

    https://www.nextmsc.com/privacy-policyhttps://www.nextmsc.com/privacy-policy

    Time period covered
    2023 - 2030
    Area covered
    Global
    Description

    Real Estate Market was valued at USD 9.8 trillion in 2023, and is slated to reach USD 14.54 trillion by 2030, due to the growing urbanization worldwide.

  10. i

    Grant Giving Statistics for Global Housing Foundation Inc.

    • instrumentl.com
    Updated Jul 6, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2021). Grant Giving Statistics for Global Housing Foundation Inc. [Dataset]. https://www.instrumentl.com/990-report/global-housing-foundation-inc
    Explore at:
    Dataset updated
    Jul 6, 2021
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of Global Housing Foundation Inc.

  11. Fastest growing housing markets worldwide 2024

    • statista.com
    Updated May 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Fastest growing housing markets worldwide 2024 [Dataset]. https://www.statista.com/statistics/1041586/price-growth-fastest-growing-home-markets-worldwide/
    Explore at:
    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Turkey experienced the highest annual change in house prices in 2024, followed by Bulgaria and Russia. In the fourth quarter of the year, the nominal house price in Turkey grew by **** percent, while in Bulgaria and Russia, the increase was ** and ** percent, respectively. Meanwhile, many countries saw prices fall throughout the year. That has to do with an overall cooling of the global housing market that started in 2022. When accounting for inflation, house price growth was slower, and even more countries saw the market shrink.

  12. t

    Real Estate Rental Global Market Report 2025

    • thebusinessresearchcompany.com
    pdf,excel,csv,ppt
    Updated Jan 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Business Research Company (2025). Real Estate Rental Global Market Report 2025 [Dataset]. https://www.thebusinessresearchcompany.com/report/real-estate-rental-global-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 8, 2025
    Dataset authored and provided by
    The Business Research Company
    License

    https://www.thebusinessresearchcompany.com/privacy-policyhttps://www.thebusinessresearchcompany.com/privacy-policy

    Description

    Global Real Estate Rental market size is expected to reach $3877.45 billion by 2029 at 7.4%, segmented as by type, residential buildings and dwellings rental services, non-residential buildings rental services

  13. N

    Netherlands Total House Sales: All Dwellings

    • ceicdata.com
    Updated Jun 30, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2018). Netherlands Total House Sales: All Dwellings [Dataset]. https://www.ceicdata.com/en/netherlands/housing-statistics-dutch-association-of-real-estate-brokers-and-real-estate-experts
    Explore at:
    Dataset updated
    Jun 30, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    Netherlands
    Variables measured
    Price
    Description

    Total House Sales: All Dwellings data was reported at 11,522.000 EUR mn in Sep 2018. This records a decrease from the previous number of 12,189.000 EUR mn for Jun 2018. Total House Sales: All Dwellings data is updated quarterly, averaging 7,124.000 EUR mn from Mar 1998 (Median) to Sep 2018, with 83 observations. The data reached an all-time high of 12,643.000 EUR mn in Dec 2016 and a record low of 3,539.000 EUR mn in Mar 1998. Total House Sales: All Dwellings data remains active status in CEIC and is reported by Dutch Association of Real Estate Brokers and Real Estate Experts. The data is categorized under Global Database’s Netherlands – Table NL.EB002: House Sales: Dutch Association of Real Estate Brokers and Real Estate Experts.

  14. d

    Real Estate Data | Property Listing, Sold Properties, Rankings, Agent...

    • datarade.ai
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Grepsr, Real Estate Data | Property Listing, Sold Properties, Rankings, Agent Datasets | Global Coverage | For Competitive Property Pricing and Investment [Dataset]. https://datarade.ai/data-products/real-estate-property-data-grepsr-grepsr
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    Grepsr
    Area covered
    Australia, Malaysia, Spain, Holy See, South Sudan, Tonga, Kazakhstan, Congo (Democratic Republic of the), Iraq, Kuwait
    Description

    Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers.

    A. Usecase/Applications possible with the data:

    1. Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data

    2. Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing.

    3. Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions.

    4. Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history.

    5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

    6. Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market.

    7. Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers.

    How does it work?

    • Analyze sample data
    • Customize parameters to suit your needs
    • Add to your projects
    • Contact support for further customization
  15. D

    Luxury Real Estate Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). Luxury Real Estate Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-luxury-real-estate-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Luxury Real Estate Market Outlook




    The global luxury real estate market size was valued at approximately USD 289.6 billion in 2023 and is projected to reach around USD 515.3 billion by 2032, growing at a CAGR of 6.5% from 2024 to 2032. The growth of this market is primarily driven by increasing urbanization, rising disposable incomes, and a growing number of high-net-worth individuals (HNWIs) worldwide.




    One of the primary growth factors contributing to the expansion of the luxury real estate market is the surge in the population of high-net-worth individuals. According to recent data, the number of millionaires and billionaires is increasing globally, especially in emerging economies. This demographic tends to invest heavily in luxury properties to diversify their asset portfolios and leverage real estate as a stable investment. Additionally, many of these HNWIs are inclined towards acquiring properties in prime locations, further fueling the demand for high-end real estate.




    Another significant factor driving the luxury real estate market is the growing trend of second homes and vacation properties. With the rise in global travel and tourism, affluent individuals are purchasing luxury vacation homes in exotic locations, such as beachfront properties, mountain retreats, and exclusive urban residences. This trend is particularly evident in regions like the Mediterranean, the Caribbean, and Southeast Asia. The availability of luxury amenities, coupled with the desire for privacy and exclusivity, makes these properties highly attractive investments.




    Technological advancements and the adoption of smart home technologies have also played a crucial role in the growth of the luxury real estate market. High-end properties are increasingly equipped with state-of-the-art home automation systems, energy-efficient solutions, and top-notch security features. These technological innovations not only enhance the living experience but also significantly boost the property's market value. Furthermore, the integration of eco-friendly and sustainable building practices in luxury properties is becoming a growing trend, appealing to environmentally conscious buyers.



    The concept of Property Franchise is gaining traction in the luxury real estate sector, offering a unique business model that combines the benefits of franchising with the lucrative potential of high-end properties. By leveraging established brand names and proven business systems, property franchises provide investors with a structured approach to entering the luxury market. This model allows franchisees to tap into the expertise and resources of a larger network, while maintaining the flexibility to cater to local market demands. As the luxury real estate market continues to expand, property franchises are becoming an attractive option for entrepreneurs seeking a foothold in this competitive industry. The ability to offer a consistent brand experience across various locations is a key advantage, appealing to both investors and clients looking for reliability and prestige in their property transactions.




    From a regional perspective, the Asia Pacific region is witnessing substantial growth in the luxury real estate market. Countries such as China, India, and Australia are experiencing rapid urbanization and economic growth, leading to an increasing demand for luxury properties. In North America, the United States and Canada continue to dominate the market, driven by strong economic fundamentals and high levels of disposable income. Europe remains a key player in the luxury real estate market, with cities like London, Paris, and Berlin attracting global investors due to their historical significance and robust real estate infrastructure. The Middle East and Africa region is also emerging as a significant market, particularly in cities like Dubai and Cape Town, renowned for their luxury real estate offerings.



    Property Type Analysis




    The luxury real estate market can be segmented by property type into residential, commercial, and industrial properties. The residential segment dominates the luxury real estate market, driven by the high demand for luxurious homes, villas, and apartments in prime locations. High-net-worth individuals and affluent families seek exclusive residential properties that offer privacy, security, and top-notch amenities. The trend of owning multiple residen

  16. Global Housing buyers list and Global importers directory of Housing

    • volza.com
    csv
    Updated Jul 22, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Volza FZ LLC (2025). Global Housing buyers list and Global importers directory of Housing [Dataset]. https://www.volza.com/buyers-india/india-importers-buyers-of-housing-from-philippines
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of import value, 2014-01-01/2021-09-30
    Description

    110 Active Global Housing buyers list and Global Housing importers directory compiled from actual Global import shipments of Housing.

  17. Commercial Real Estate Data | Global Real Estate Professionals | Work...

    • datarade.ai
    Updated Oct 27, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Success.ai (2021). Commercial Real Estate Data | Global Real Estate Professionals | Work Emails, Phone Numbers & Verified Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/commercial-real-estate-data-global-real-estate-professional-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    El Salvador, Comoros, Hong Kong, Guatemala, Burkina Faso, Bolivia (Plurinational State of), Netherlands, Marshall Islands, Korea (Republic of), Sierra Leone
    Description

    Success.ai’s Commercial Real Estate Data and B2B Contact Data for Global Real Estate Professionals is a comprehensive dataset designed to connect businesses with industry leaders in real estate worldwide. With over 170M verified profiles, including work emails and direct phone numbers, this solution ensures precise outreach to agents, brokers, property developers, and key decision-makers in the real estate sector.

    Utilizing advanced AI-driven validation, our data is continuously updated to maintain 99% accuracy, offering actionable insights that empower targeted marketing, streamlined sales strategies, and efficient recruitment efforts. Whether you’re engaging with top real estate executives or sourcing local property experts, Success.ai provides reliable and compliant data tailored to your needs.

    Key Features of Success.ai’s Real Estate Professional Contact Data

    • Comprehensive Industry Coverage Gain direct access to verified profiles of real estate professionals across the globe, including:
    1. Real Estate Agents: Professionals facilitating property sales and purchases.
    2. Brokers: Key intermediaries managing transactions between buyers and sellers.
    3. Property Developers: Decision-makers shaping residential, commercial, and industrial projects.
    4. Real Estate Executives: Leaders overseeing multi-regional operations and business strategies.
    5. Architects & Consultants: Experts driving design and project feasibility.
    • Verified and Continuously Updated Data

    AI-Powered Validation: All profiles are verified using cutting-edge AI to ensure up-to-date accuracy. Real-Time Updates: Our database is refreshed continuously to reflect the most current information. Global Compliance: Fully aligned with GDPR, CCPA, and other regional regulations for ethical data use.

    • Customizable Data Delivery Tailor your data access to align with your operational goals:

    API Integration: Directly integrate data into your CRM or project management systems for seamless workflows. Custom Flat Files: Receive detailed datasets customized to your specifications, ready for immediate application.

    Why Choose Success.ai for Real Estate Contact Data?

    • Best Price Guarantee Enjoy competitive pricing that delivers exceptional value for verified, comprehensive contact data.

    • Precision Targeting for Real Estate Professionals Our dataset equips you to connect directly with real estate decision-makers, minimizing misdirected efforts and improving ROI.

    • Strategic Use Cases

      Lead Generation: Target qualified real estate agents and brokers to expand your network. Sales Outreach: Engage with property developers and executives to close high-value deals. Marketing Campaigns: Drive targeted campaigns tailored to real estate markets and demographics. Recruitment: Identify and attract top talent in real estate for your growing team. Market Research: Access firmographic and demographic data for in-depth industry analysis.

    • Data Highlights 170M+ Verified Professional Profiles 50M Work Emails 30M Company Profiles 700M Global Professional Profiles

    • Powerful APIs for Enhanced Functionality

      Enrichment API Ensure your contact database remains relevant and up-to-date with real-time enrichment. Ideal for businesses seeking to maintain competitive agility in dynamic markets.

    Lead Generation API Boost your lead generation with verified contact details for real estate professionals, supporting up to 860,000 API calls per day for robust scalability.

    • Use Cases for Real Estate Contact Data
    1. Targeted Outreach for New Projects Connect with property developers and brokers to pitch your services or collaborate on upcoming projects.

    2. Real Estate Marketing Campaigns Execute personalized marketing campaigns targeting agents and clients in residential, commercial, or industrial sectors.

    3. Enhanced Sales Strategies Shorten sales cycles by directly engaging with decision-makers and key stakeholders.

    4. Recruitment and Talent Acquisition Access profiles of highly skilled professionals to strengthen your real estate team.

    5. Market Analysis and Intelligence Leverage firmographic and demographic insights to identify trends and optimize business strategies.

    • What Makes Us Stand Out? >> Unmatched Data Accuracy: Our AI-driven validation ensures 99% accuracy for all contact details. >> Comprehensive Global Reach: Covering professionals across diverse real estate markets worldwide. >> Flexible Delivery Options: Access data in formats that seamlessly fit your existing systems. >> Ethical and Compliant Data Practices: Adherence to global standards for secure and responsible data use.

    Success.ai’s B2B Contact Data for Global Real Estate Professionals delivers the tools you need to connect with the right people at the right time, driving efficiency and success in your business operations. From agents and brokers to property developers and executiv...

  18. Brazil No of Housing: Brazil: House

    • ceicdata.com
    Updated Aug 15, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2019). Brazil No of Housing: Brazil: House [Dataset]. https://www.ceicdata.com/en/brazil/number-of-housing-by-type/no-of-housing-brazil-house
    Explore at:
    Dataset updated
    Aug 15, 2019
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2016 - Dec 1, 2018
    Area covered
    Brazil
    Description

    Number of Housing: Brazil: House data was reported at 61,070.253 Unit th in 2018. This records an increase from the previous number of 60,159.888 Unit th for 2017. Number of Housing: Brazil: House data is updated yearly, averaging 60,159.888 Unit th from Dec 2016 (Median) to 2018, with 3 observations. The data reached an all-time high of 61,070.253 Unit th in 2018 and a record low of 59,273.069 Unit th in 2016. Number of Housing: Brazil: House data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Domestic Trade and Household Survey – Table BR.HF006: Number of Housing: by Type.

  19. Global Housing suppliers, manufacturers list and Global exporters directory...

    • volza.com
    csv
    Updated Aug 7, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Volza FZ LLC (2025). Global Housing suppliers, manufacturers list and Global exporters directory of Housing [Dataset]. https://www.volza.com/p/housing/manufacturers/manufacturers-in-peru/cod-united-states/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Aug 7, 2025
    Dataset provided by
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of export value, 2014-01-01/2021-09-30
    Description

    156 Active Global Housing suppliers, manufacturers list and Global Housing exporters directory compiled from actual Global export shipments of Housing.

  20. Global Housing Not buyers list and Global importers directory of Housing Not...

    • volza.com
    csv
    Updated Jul 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Volza FZ LLC (2025). Global Housing Not buyers list and Global importers directory of Housing Not [Dataset]. https://www.volza.com/p/housing-not/buyers/buyers-in-united-states/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of import value, 2014-01-01/2021-09-30
    Description

    65267 Active Global Housing Not buyers list and Global Housing Not importers directory compiled from actual Global import shipments of Housing Not.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2025). Global Housing Watch, House Price-to-Income Ratio Around the World [Dataset]. https://data360.worldbank.org/en/dataset/IMF_GHW

Global Housing Watch, House Price-to-Income Ratio Around the World

Explore at:
Dataset updated
Apr 18, 2025
Area covered
World
Description

The Global Housing Watch tracks developments in housing markets across the world on a quarterly basis. It provides current data on house prices as well as metrics used to assess valuation in housing markets, such as house price‑to‑rent and house-price‑to‑income ratios.

This collection includes only a subset of indicators from the source dataset.

Search
Clear search
Close search
Google apps
Main menu