45 datasets found
  1. United States House Prices Growth

    • ceicdata.com
    Updated Feb 15, 2020
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    CEICdata.com (2020). United States House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/house-prices-growth
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    Dataset updated
    Feb 15, 2020
    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, 2021 - Sep 1, 2024
    Area covered
    United States
    Description

    Key information about House Prices Growth

    • US house prices grew 5.2% YoY in Sep 2024, following an increase of 6.2% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 1992 to Sep 2024, with an average growth rate of 5.5%.
    • 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.

  2. Typical price of single-family homes in the U.S. 2020-2024, by state

    • statista.com
    • flwrdeptvarieties.store
    Updated Jan 30, 2025
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    Statista (2025). Typical price of single-family homes in the U.S. 2020-2024, by state [Dataset]. https://www.statista.com/statistics/1041708/typical-home-value-single-family-homes-usa-by-state/
    Explore at:
    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, Hawaii was the state with the most expensive housing, with the typical value of single-family homes in the 35th to 65th percentile range exceeding 981,000 U.S. dollars. Unsurprisingly, Hawaii also ranked top as the state with the highest cost of living. Meanwhile, a property was the least expensive in West Virginia, where it cost under 167,000 U.S. dollars to buy the typical single-family home. Single-family home prices increased across most states in the United States between December 2023 and December 2024, except in Louisiana, Florida, and the District of Colombia. According to the Federal Housing Association, house appreciation in 13 states exceeded nine percent in 2023.

  3. Existing own homes; average purchase prices, region

    • cbs.nl
    • dexes.eu
    • +2more
    xml
    Updated Feb 17, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Existing own homes; average purchase prices, region [Dataset]. https://www.cbs.nl/en-gb/figures/detail/83625ENG
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    xmlAvailable download formats
    Dataset updated
    Feb 17, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Time period covered
    1995 - 2024
    Area covered
    The Netherlands
    Description

    This table shows the average purchase price that has been paid in the reporting period for existing own homes purchased by a private individual. The average purchase price of existing own homes may differ from the price index of existing own homes. The average purchase price is no indicator for price developments of owner-occupied residential property. The average purchase price reflects the average price of dwellings sold in a particular period. The fact that de dwellings sold differs from one period to another is not taken into account. The following instance explains which problems are entailed by the continually changing of the quality of the dwellings sold. Suppose in February of a particular year mainly big houses with extensive gardens beautifully situated alongside canals are sold, whereas in March many small terraced houses are sold. In that case the average purchase price in February will be higher than in March but this does not mean that house prices are increased. See note 3 for a link to the article 'Why the average purchase price is not an indicator'.

    Data available from: 1995

    Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The average purchasing prices of existing owner-occupied sold homes can be calculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.

    Changes as of 17 February 2025: Added average purchase prices of the municipalities for the year 2024.

    When will new figures be published? New figures are published approximately one to three months after the period under review.

  4. Average sales price of new homes sold in the U.S. 1965-2024

    • statista.com
    • flwrdeptvarieties.store
    Updated Jan 30, 2025
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    Statista (2025). Average sales price of new homes sold in the U.S. 1965-2024 [Dataset]. https://www.statista.com/statistics/240991/average-sales-prices-of-new-homes-sold-in-the-us/
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average sales price of new homes in the United States experienced a slight decrease in 2024, dropping to 512,2000 U.S. dollars from the peak of 521,500 U.S. dollars in 2022. This decline came after years of substantial price increases, with the average price surpassing 400,000 U.S. dollars for the first time in 2021. The recent cooling in the housing market reflects broader economic trends and changing consumer sentiment towards homeownership. Factors influencing home prices and affordability The rapid rise in home prices over the past few years has been driven by several factors, including historically low mortgage rates and increased demand during the COVID-19 pandemic. However, the market has since slowed down, with the number of home sales declining by over two million between 2021 and 2023. This decline can be attributed to rising mortgage rates and decreased affordability. The Housing Affordability Index hit a record low of 98.1 in 2023, indicating that the median-income family could no longer afford a median-priced home. Future outlook for the housing market Despite the recent cooling, experts forecast a potential recovery in the coming years. The Freddie Mac House Price Index showed a growth of 6.5 percent in 2023, which is still above the long-term average of 4.4 percent since 1990. However, homebuyer sentiment remains low across all age groups, with people aged 45 to 64 expressing the most pessimistic outlook. The median sales price of existing homes is expected to increase slightly until 2025, suggesting that affordability challenges may persist in the near future.

  5. Existing own homes; purchase price indices by type of dwelling 1995-2023

    • cbs.nl
    • data.overheid.nl
    xml
    Updated Jun 6, 2024
    + more versions
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    Centraal Bureau voor de Statistiek (2024). Existing own homes; purchase price indices by type of dwelling 1995-2023 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/83910ENG
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    xmlAvailable download formats
    Dataset updated
    Jun 6, 2024
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    The Netherlands
    Description

    The figures of existing own homes are related to the stock of existing own homes. Besides the price indices, figures are also published about the numbers sold, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices may fluctuate, for example if a small number of a certain type of dwellings are sold. In such cases we recommended using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes.

    Data available from: 1st quarter 1995 to 4th quarter 2023

    Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.

    Changes as of 6 Juny 2024: This table has been discontinued. This table is followed by Existing own homes; purchase prices, price index 2020=100, type of dwelling. See paragraph 3.

    From reporting period 2024 quarter 1, the base year of the House Price Index for Existing Dwellings (PBK) will be adjusted from 2015 to 2020. In April 2024, the first figures of this new series will be released. These figures will be available in a new StatLine table. The old series (base year = 2015) can still be consulted via StatLine, but will no longer be updated.

  6. Average house price in the UK 2010-2024, by month

    • statista.com
    Updated Feb 14, 2025
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    Statista (2025). Average house price in the UK 2010-2024, by month [Dataset]. https://www.statista.com/statistics/751605/average-house-price-in-the-uk/
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    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2010 - Nov 2024
    Area covered
    United Kingdom
    Description

    In 2022, house price growth in the UK slowed, after a period of decade-long increase. Nevertheless, in August 2024, prices reached a new peak, with the average home costing close to 290,000 British pounds. That figure refers to all property types, including detached, semi-detached, terraced houses, and flats and maisonettes. Compared to other European countries, the UK had some of the highest house prices. How have UK house prices increased over the last 10 years? Property prices have risen dramatically over the past decade. According to the UK house price index, the average house price has grown by over 50 percent since 2015. This price development has led to the gap between the cost of buying and renting a property to close. In 2023, buying a three-bedroom house in the UK was no longer more affordable than renting one. Consequently, Brits have become more likely to rent longer and push off making a house purchase until they have saved up enough for a down payment and achieved the financial stability required to make the step. What caused the decline in house prices in 2022? House prices are affected by multiple factors, such as mortgage rates, supply, and demand on the market. For nearly a decade, the UK experienced uninterrupted house price growth as a result of strong demand and a chronic undersupply. Homebuyers who purchased a property at the peak of the housing boom in July 2022 paid 14 percent more compared to what they would have paid a year before. Additionally, 2022 saw the most dramatic increase in mortgage rates in recent history. Between December 2021 and December 2022, the 10-year fixed mortgage rate doubled, adding further strain to prospective homebuyers. As a result, the market cooled, leading to a correction in pricing.

  7. Existing own homes; purchase prices, price index 2020=100, region

    • cbs.nl
    • data.overheid.nl
    xml
    Updated Jan 28, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Existing own homes; purchase prices, price index 2020=100, region [Dataset]. https://www.cbs.nl/en-gb/figures/detail/85792ENG
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Jan 28, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    Netherlands
    Description

    The figures of existing own homes are related to the stock of existing own homes. Besides the price indices, figures are also published about the numbers sold, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices may fluctuate, for example if a small number of dwellings are sold in a certain region. In such cases we recommended using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes.

    Data available from: 1st quarter 1995

    Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.

    Changes as of 28 January 2025: The figures for the 4th quarter and the year 2024 have been changed and become final.

    Changes as of 22 January 2025: Figures for reporting period 4th quarter and the year 2024 are added. The figures of the Price Index for Existing own homes are in the current publication unfortunately provisional. The calculations are based on incomplete data. This may lead to an adjustment of the figures. The expectation is that this adjustment will be limited.

    When will new figures be published? New figures are published about 22 days after the period under review.

  8. Zoopla live aggregated property data

    • data.ubdc.ac.uk
    html, xlsx
    Updated Aug 1, 2024
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    Zoopla (2024). Zoopla live aggregated property data [Dataset]. https://data.ubdc.ac.uk/dataset/zoopla-property-data
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    html, xlsx(15578)Available download formats
    Dataset updated
    Aug 1, 2024
    Dataset provided by
    ZPGhttps://houseful.co.uk/
    Description

    Property Market Insights from Zoopla Live (Aggregated):

    Discover valuable property market insights with our data product sourced from Zoopla Live, one of the UK's premier aggregators of property listings data. Gain access to a comprehensive dataset containing information on 27,000,000 homes, up to 1,000,000 property listings,.

    The Urban Big Data Centre (UBDC) systematially collects daily property listings from Zoopla across the entire UK since 2017; and each year, we process and consolidate the collected data into yearly aggregated and harmonized 'analysis-ready' datasets.

    Researchers can utilize this dataset to unlock meaningful insights into the property market.

    Please note that additional daily data from Zoopla can be made available upon request if the provided aggregated product does not meet specific research requirements. Additionally, it's essential to be aware that each Zoopla year spans 18 months, from the 1st of Oct of the previous year until the 31st of March of the following year.

    UBDC’s Zoopla data collection is a dataset that covers housing data since 2017, covering the area of Great Britain. UBDC has an agreement with Zoopla and has access to current property listings via Application Programming Interface (API). We have been collecting the listings since August 2016.

    UBDC can provide Live Collected Aggregated Data: Aggregated (yearly) data made from Live Collected data. The Zoopla year is +/- 3 months for each year(= zoopla year 18 months) The collection requires unique property id in the API request.

    We have also set up an email discussion list on housing data and related issues that you can join via the JISCMail website:

    https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=UBDC-HOUSING-DATA

    Note: In accessing this data, you agree that any downloading of content is for non-commercial reference only. No part of these materials may be used for any other purpose or reproduced or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise without the prior consent of the University of Glasgow.

    Data is Zoopla Property Group PLC, © 2023, processed by Urban Big Data Centre, University of Glasgow

    Details of the data available via Zoopla’s Application Programming Interface (API) can be found at

    http://developer.zoopla.com/

  9. FMHPI house price index change 1990-2024

    • statista.com
    • flwrdeptvarieties.store
    Updated Mar 4, 2025
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    Statista (2025). FMHPI house price index change 1990-2024 [Dataset]. https://www.statista.com/statistics/275159/freddie-mac-house-price-index-from-2009/
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    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. housing market has slowed, after 13 consecutive years of rising home prices. In 2021, house prices surged by an unprecedented 18 percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by 4.2 percent. That was lower than the long-term average of 4.4 percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of 2.96 percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over 389,000 U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.

  10. F

    All-Transactions House Price Index for Boston, MA (MSAD)

    • fred.stlouisfed.org
    json
    Updated Feb 25, 2025
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    (2025). All-Transactions House Price Index for Boston, MA (MSAD) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS14454Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 25, 2025
    License

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

    Area covered
    Boston, Massachusetts
    Description

    Graph and download economic data for All-Transactions House Price Index for Boston, MA (MSAD) (ATNHPIUS14454Q) from Q3 1977 to Q4 2024 about Boston, MA, appraisers, HPI, housing, price index, indexes, price, and USA.

  11. m

    Median House Prices - By Type and Sale Year

    • data.melbourne.vic.gov.au
    • researchdata.edu.au
    csv, excel, json
    Updated Dec 14, 2022
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    (2022). Median House Prices - By Type and Sale Year [Dataset]. https://data.melbourne.vic.gov.au/explore/dataset/median-house-prices-by-type-and-sale-year/
    Explore at:
    json, csv, excelAvailable download formats
    Dataset updated
    Dec 14, 2022
    License

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

    Description

    Median prices for dwellings/townhouses, and apartments by their year of sale for the City of Melbourne.

  12. Consumer prices; rent increase for dwellings by landlord

    • data.overheid.nl
    • ckan.mobidatalab.eu
    • +3more
    atom, json
    Updated Sep 9, 2010
    + more versions
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    Centraal Bureau voor de Statistiek (Rijk) (2010). Consumer prices; rent increase for dwellings by landlord [Dataset]. https://data.overheid.nl/en/dataset/8d4c89f1-42b8-4000-8207-4424b4b1ab9e
    Explore at:
    json(KB), atom(KB)Available download formats
    Dataset updated
    Sep 9, 2010
    Dataset provided by
    Statistics Netherlands
    License

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

    Description

    This table includes the average increase of rent paid for dwellings in the Netherlands. It shows a breakdown regarding the rent change in- and excluding rent harmonisation. Another breakdown is for the commercial and non-commercial rent movements of dwellings. The rent change is given on an annual basis and is significant input for the housing price movements in the consumer price index.

    Data available from: 2009

    Status of the figures: All values are definite.

    Frequency: Discontinued on 10 October 2011.

  13. US National Property Listing Data | 50+ Property & Building Characteristics...

    • data.thewarrengroup.com
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    The Warren Group, US National Property Listing Data | 50+ Property & Building Characteristics | Pricing & Real Estate Agent Information [Dataset]. https://data.thewarrengroup.com/products/us-national-property-listing-data-50-property-building-c-the-warren-group
    Explore at:
    Dataset authored and provided by
    The Warren Group
    Area covered
    United States
    Description

    In a constantly changing marketplace, access to timely property listings data is crucial. With this robust data set, you can gain a complete view of a single property, market trends, and even buyer behavior.

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

    • datarade.ai
    Updated Oct 27, 2021
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    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
    Guatemala, Burkina Faso, Comoros, Hong Kong, Sierra Leone, El Salvador, Bolivia (Plurinational State of), Netherlands, Marshall Islands, Korea (Republic of)
    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...

  15. House Price Index by region; existing own homes; 1995 - 2012; 2005=100

    • data.overheid.nl
    • ckan.mobidatalab.eu
    atom, json
    Updated Mar 13, 2013
    + more versions
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    Centraal Bureau voor de Statistiek (Rijk) (2013). House Price Index by region; existing own homes; 1995 - 2012; 2005=100 [Dataset]. https://data.overheid.nl/dataset/4493-house-price-index-by-region--existing-own-homes--1995---2012--2005-100
    Explore at:
    atom(KB), json(KB)Available download formats
    Dataset updated
    Mar 13, 2013
    Dataset provided by
    Statistics Netherlands
    License

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

    Description

    This table shows the changes of the sale prices of existing own homes by COROP and 25 biggest municipalities (more then 100.000 inhabitants on 01-01-2005). Besides the price indices, also the numbers sold, the average purchase price of these dwellings and the total sum of the puchase prices of these dwellings are published. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and Value Immovable Property (in Dutch: WOZ) of all dwellings in The Netherlands. Indices can fluctuate, for example when the number of dwellings sold in a region is limited. In that case it is recommended to use the long term change of the index. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price is, however, not an indicator for price developments of existing own homes. For more information on this subject, see the article at chapter 3 "Why the average purchase price is not an indicator".

    Data available from: January 1995 - December 2012.

    Status of the figures: The figures are definitive.

    When are new figures published? This table is stopped as from 3-8-2013 and will be continued as House Price Index by region; existing own homes, 2010 = 100. See paragraph 3.

  16. Median house price Texas, U.S. 2011-2023

    • statista.com
    Updated May 2, 2024
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    Statista (2024). Median house price Texas, U.S. 2011-2023 [Dataset]. https://www.statista.com/statistics/1299453/median-house-price-texas/
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    Dataset updated
    May 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Texas, United States
    Description

    House prices in the second most populous state in the United States, Texas, have increased more than two-fold since 2011. In 2023, the median house price reached 335,100 U.S. dollars, a decrease of 1.4 percent from the previous year. Texas is one of the more affordable states for buying a home with house prices below the national average.

  17. Commercial Real Estate Data | Commercial Real Estate Professionals in Europe...

    • datarade.ai
    Updated Jan 1, 2018
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    Success.ai (2018). Commercial Real Estate Data | Commercial Real Estate Professionals in Europe | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/commercial-real-estate-data-commercial-real-estate-professi-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Netherlands, Denmark, Gibraltar, Bulgaria, Greece, Finland, Monaco, Serbia, Isle of Man, Croatia, Europe
    Description

    Success.ai’s Commercial Real Estate Data for Commercial Real Estate Professionals in Europe provides a highly detailed dataset tailored for businesses looking to engage with key decision-makers in the European commercial real estate market. Covering developers, property managers, brokers, and investors, this dataset includes verified contact data, decision-maker insights, and firmographic details to empower your outreach and strategic initiatives.

    With access to over 700 million verified global profiles and data from 70 million businesses, Success.ai ensures your marketing, sales, and partnership efforts are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is indispensable for navigating Europe’s thriving commercial real estate sector.

    Why Choose Success.ai’s Commercial Real Estate Data?

    1. Verified Contact Data for Targeted Outreach

      • Access verified work emails, phone numbers, and LinkedIn profiles of property developers, brokers, asset managers, and investment leads.
      • AI-driven validation ensures 99% accuracy, reducing communication errors and improving outreach effectiveness.
    2. Comprehensive Coverage Across Europe’s Real Estate Sector

      • Includes profiles from major European real estate markets such as the UK, Germany, France, Italy, and the Netherlands.
      • Gain insights into regional market dynamics, investment opportunities, and commercial real estate trends.
    3. Continuously Updated Datasets

      • Real-time updates capture leadership changes, market expansions, and emerging property developments.
      • Stay aligned with the fast-evolving commercial real estate market and seize opportunities effectively.
    4. Ethical and Compliant

      • Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use of data and compliance with legal standards.

    Data Highlights:

    • 700M+ Verified Global Profiles: Connect with decision-makers, property managers, and brokers in Europe’s commercial real estate sector.
    • 70M Business Profiles: Access detailed firmographic data, including company sizes, revenue ranges, and geographic footprints.
    • Leadership Insights: Engage with CEOs, asset managers, and real estate directors driving strategic decisions.
    • Market Intelligence: Gain visibility into property development projects, investment trends, and regional opportunities.

    Key Features of the Dataset:

    1. Decision-Maker Profiles in Real Estate

      • Identify and connect with executives, brokers, and property managers overseeing transactions, asset management, and investment strategies.
      • Target professionals responsible for property acquisitions, leasing, and development.
    2. Firmographic and Geographic Insights

      • Access detailed business information, including company structures, geographic locations, and market specializations.
      • Pinpoint key players in specific regions and align outreach with localized market needs.
    3. Advanced Filters for Precision Campaigns

      • Filter companies by industry focus (commercial properties, retail, industrial), revenue size, or project scope.
      • Tailor your campaigns to address specific challenges, such as tenant retention, sustainability initiatives, or market expansion.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes with real estate professionals.

    Strategic Use Cases:

    1. Sales and Lead Generation

      • Present property management tools, software solutions, or investment opportunities to real estate firms and property managers.
      • Build relationships with brokers and developers seeking innovative solutions to streamline operations or enhance profitability.
    2. Market Research and Competitive Analysis

      • Analyze trends in Europe’s commercial real estate market to guide product development and marketing strategies.
      • Benchmark against competitors to identify growth opportunities, underserved segments, and high-value properties.
    3. Partnership Development and Investment Insights

      • Engage with property developers, asset managers, and brokers exploring strategic partnerships or new investment opportunities.
      • Foster alliances that expand market reach, improve property performance, or drive higher returns.
    4. Recruitment and Workforce Solutions

      • Target HR professionals and hiring managers recruiting for roles in property management, real estate finance, or asset development.
      • Provide workforce optimization tools, training platforms, or recruitment services tailored to the commercial real estate sector.

    Why Choose Success.ai?

    1. Best Price Guarantee
      • Access premium-quality commercial real estate data at competitive prices, ensuring strong ROI for your marketing, sales, and business development efforts. ...
  18. m

    Median House Prices by Transfer Year from 2000 - 2016

    • data.melbourne.vic.gov.au
    • researchdata.edu.au
    csv, excel, json
    Updated Dec 14, 2022
    + more versions
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    (2022). Median House Prices by Transfer Year from 2000 - 2016 [Dataset]. https://data.melbourne.vic.gov.au/explore/dataset/median-house-prices-by-transfer-year-from-2000-2016/
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    json, excel, csvAvailable download formats
    Dataset updated
    Dec 14, 2022
    License

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

    Description

    Median prices for dwellings/townhouses, and apartments by their year of settlement for the City of Melbourne.

  19. Israel Dwellings Average Price

    • ceicdata.com
    Updated Mar 15, 2019
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    CEICdata.com (2019). Israel Dwellings Average Price [Dataset]. https://www.ceicdata.com/en/israel/average-house-price-dwellings/dwellings-average-price
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    Dataset updated
    Mar 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
    Mar 1, 2017 - Mar 1, 2019
    Area covered
    Israel
    Description

    Israel Dwellings Average Price data was reported at 1,501.900 ILS th in Mar 2019. This records a decrease from the previous number of 1,519.600 ILS th for Dec 2018. Israel Dwellings Average Price data is updated quarterly, averaging 1,533.100 ILS th from Mar 2017 to Mar 2019, with 9 observations. The data reached an all-time high of 1,548.100 ILS th in Jun 2018 and a record low of 1,501.900 ILS th in Mar 2019. Israel Dwellings Average Price data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.P001: Average House Price: Dwellings.

  20. Forecast house price growth in the UK 2024-2028

    • statista.com
    Updated Jun 11, 2024
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    Statista (2024). Forecast house price growth in the UK 2024-2028 [Dataset]. https://www.statista.com/statistics/376079/uk-house-prices-forecast/
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    Dataset updated
    Jun 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023
    Area covered
    United Kingdom
    Description

    Just as in many other countries, the housing market in the UK grew substantially during the coronavirus pandemic, fueled by robust demand and low borrowing costs. Nevertheless, high inflation and the increase in mortgage rates has led to house price growth slowing down. According to the forecast, 2024 is expected to see house prices decrease by three percent. Between 2024 and 2028, the average house price growth is projected at 2.7 percent. A contraction after a period of continuous growth In June 2022, the UK's house price index exceeded 150 index points, meaning that since 2015 which was the base year for the index, house prices had increased by 50 percent. In just two years, between 2020 and 2022, the index surged by 30 index points. As the market stood in December 2023, the average price for a home stood at approximately 284,691 British pounds. Rents are expected to continue to grow According to another forecast, the prime residential market is also expected to see rental prices grow in the next years. Growth is forecast to be stronger in 2024 and slow down in the period between 2025 and 2028. The rental market in London is expected to follow a similar trend, with Central London slightly outperforming Greater London.

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CEICdata.com (2020). United States House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/house-prices-growth
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United States House Prices Growth

Explore at:
Dataset updated
Feb 15, 2020
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, 2021 - Sep 1, 2024
Area covered
United States
Description

Key information about House Prices Growth

  • US house prices grew 5.2% YoY in Sep 2024, following an increase of 6.2% YoY in the previous quarter.
  • YoY growth data is updated quarterly, available from Mar 1992 to Sep 2024, with an average growth rate of 5.5%.
  • 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.

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