100+ datasets found
  1. Housing prices change in the Netherlands 1996-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 10, 2025
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    Statista (2025). Housing prices change in the Netherlands 1996-2023 [Dataset]. https://www.statista.com/statistics/593390/housing-prices-change-in-the-netherlands/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1996 - Dec 2023
    Area covered
    Netherlands
    Description

    House prices in the Netherlands had been on an upward trend for nearly nine years, before starting to decline for most of 2023. In December 2023, the average house price rose by *** percent from the same period the year before. In comparison, in December 2022, house prices soared by *** percent because of the low mortgage rates, a recovering economy and a high level of consumer confidence at the time. According to a forecast released in October 2023, real estate prices were expected to decline in 2024.

  2. F

    Residential Property Prices for Netherlands

    • fred.stlouisfed.org
    json
    Updated May 28, 2025
    + more versions
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    (2025). Residential Property Prices for Netherlands [Dataset]. https://fred.stlouisfed.org/series/QNLN628BIS
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    jsonAvailable download formats
    Dataset updated
    May 28, 2025
    License

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

    Area covered
    Netherlands
    Description

    Graph and download economic data for Residential Property Prices for Netherlands (QNLN628BIS) from Q1 1970 to Q4 2024 about Netherlands, residential, HPI, housing, price index, indexes, and price.

  3. Netherlands House Prices Growth

    • ceicdata.com
    • dr.ceicdata.com
    Updated Sep 15, 2021
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    CEICdata.com (2021). Netherlands House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/netherlands/house-prices-growth
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    Dataset updated
    Sep 15, 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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Netherlands
    Description

    Key information about House Prices Growth

    • Netherlands house prices grew 11.5% YoY in Jan 2025, following an increase of 10.9% YoY in the previous month.
    • YoY growth data is updated monthly, available from Jan 1996 to Jan 2025, with an average growth rate of 4.7%.
    • House price data reached an all-time high of 20.9% in Jan 2022 and a record low of -9.6% in Jan 2013.

    CEIC calculates House Prices Growth from monthly House Price Index. 2.Statistics Netherlands provides House Price Index with base 2020=100.

  4. T

    Netherlands Existing House Price Index

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Netherlands Existing House Price Index [Dataset]. https://tradingeconomics.com/netherlands/housing-index
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    json, xml, excel, csvAvailable download formats
    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
    Jan 31, 1995 - May 31, 2025
    Area covered
    Netherlands
    Description

    Housing Index in Netherlands increased to 148.50 points in May from 147.60 points in April of 2025. This dataset provides - Netherlands House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. Netherlands Real Estate Market Size and Share | Statistics - 2030

    • nextmsc.com
    csv, pdf
    Updated Jul 2025
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    Supradip Baul (2025). Netherlands Real Estate Market Size and Share | Statistics - 2030 [Dataset]. https://www.nextmsc.com/report/netherlands-real-estate-market
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    pdf, csvAvailable download formats
    Dataset updated
    Jul 2025
    Dataset provided by
    Next Move Strategy Consulting
    Authors
    Supradip Baul
    License

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

    Time period covered
    2023 - 2030
    Area covered
    Global, Netherlands
    Description

    In 2023, the Netherlands Real Estate Market reached a value of USD 170.1 million, and it is projected to surge to USD 329.3 million by 2030.

  6. T

    Netherlands Residential Property Prices

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +11more
    csv, excel, json, xml
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    TRADING ECONOMICS, Netherlands Residential Property Prices [Dataset]. https://tradingeconomics.com/netherlands/residential-property-prices
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    csv, xml, excel, jsonAvailable download formats
    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
    Mar 31, 1971 - Dec 31, 2024
    Area covered
    Netherlands
    Description

    Residential Property Prices in Netherlands increased 10.79 percent in December of 2024 over the same month in the previous year. This dataset includes a chart with historical data for Netherlands Residential Property Prices.

  7. T

    Netherlands House Price Index YoY

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +7more
    csv, excel, json, xml
    Updated Dec 13, 2010
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    TRADING ECONOMICS (2010). Netherlands House Price Index YoY [Dataset]. https://tradingeconomics.com/netherlands/house-price-index-yoy
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Dec 13, 2010
    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
    Mar 31, 2006 - Mar 31, 2025
    Area covered
    Netherlands
    Description

    House Price Index YoY in Netherlands decreased to 10.70 percent in the first quarter of 2025 from 10.90 percent in the fourth quarter of 2024. This dataset includes a chart with historical data for Netherlands House Price Index YoY.

  8. Netherlands Luxury Residential Real Estate Market Size & Share Analysis -...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 9, 2023
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    Mordor Intelligence (2023). Netherlands Luxury Residential Real Estate Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/netherlands-luxury-residential-real-estate-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2020 - 2030
    Area covered
    Netherlands
    Description

    The Netherlands luxury residential real estate market is segmented by type (apartments, condominiums, villas, and landed houses) and cities (Amsterdam, Rotterdam, The Hague, and other cities). The report offers market sizes and forecasts in value (USD billion) for all the above segments.

  9. N

    Netherlands Luxury Residential Real Estate Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Data Insights Market (2025). Netherlands Luxury Residential Real Estate Market Report [Dataset]. https://www.datainsightsmarket.com/reports/netherlands-luxury-residential-real-estate-market-17172
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Netherlands
    Variables measured
    Market Size
    Description

    The Netherlands luxury residential real estate market, encompassing apartments, condominiums, villas, and landed houses across major cities like Amsterdam, Rotterdam, and The Hague, exhibits robust growth potential. With a current market size exceeding €1 billion (a reasonable estimation based on common luxury market proportions relative to overall housing markets and a 3%+ CAGR), the sector is projected to experience a compound annual growth rate (CAGR) of over 3% from 2025 to 2033. This expansion is fueled by several key drivers: a thriving Dutch economy attracting high-net-worth individuals (HNWIs), increasing demand for premium properties in prime locations, limited supply of luxury homes, and a preference for sustainable and high-quality construction. The segment is further invigorated by rising tourism and increasing international investment in Dutch real estate. While potential restraints such as government regulations and economic fluctuations exist, the overall market outlook remains positive, particularly in Amsterdam, which consistently attracts significant investor interest. Leading developers like BPD, Provast, and Heijmans play a crucial role in shaping the market, alongside international players like Christie's International Real Estate and Sotheby's International Realty. The segmentation of the market by property type and city provides valuable insights. Amsterdam consistently commands the highest prices and transaction volumes, owing to its global appeal and limited space, followed by Rotterdam and The Hague. Villas and landed houses tend to represent the higher end of the market in terms of price per unit, though apartment and condominium sales contribute significantly to overall market volume. Future growth will likely be influenced by technological advancements in construction, growing emphasis on sustainability, and changing preferences among luxury buyers, demanding smart home features and eco-friendly designs. Analyzing these factors and the performance of key players provides a comprehensive understanding of the dynamic and lucrative Netherlands luxury residential real estate market. This report provides a comprehensive analysis of the Netherlands Luxury Residential Real Estate Market, covering the period 2019-2033. It delves into market dynamics, key players, and future trends, offering valuable insights for investors, developers, and industry professionals. Recent developments include: May 2022: The construction of the new Klipper district in the port area of Spijkenisse started officially. The Rotterdam project developer and builder VORM is responsible for the construction of a total of 48 sustainable and smart homes. The energy-neutral new housing estate, with single-family homes, townhouses, and sturdy quay houses, is part of the Port, the overarching area development De Elementen. The completion of the Klipper subproject is planned for the end of 2023., April 2022: BPD (Bouwfonds Gebiedsontwikkeling), an area developer that realizes attractive living environments in the Netherlands and Germany, included showing the house in a 3D model as a part of their purchase contract. For the first time at BPD, interested parties and new-build home buyers will see all technical and legal information about their newly built home in a virtual 3D model. Previously buyers at BPD could already buy their new home online. This innovation is the next step. In the 3D model, the buyer finds all the information about his home in 3D, which is visible on his computer.. Key drivers for this market are: Demand for Transportation Infrastructure is increasing in Netherlands, Growth in Travel and Tourism is driving the need for Transportation Infrastructure.. Potential restraints include: High cost of the construction projects, Limited space availability for new projects. Notable trends are: Growing Number of High Net Worth Individuals Driving the Market.

  10. Existing own homes; average purchase prices, region

    • cbs.nl
    • data.overheid.nl
    • +1more
    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
    Explore at:
    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.

  11. T

    Netherlands - House price index

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 27, 2020
    + more versions
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    TRADING ECONOMICS (2020). Netherlands - House price index [Dataset]. https://tradingeconomics.com/netherlands/house-price-idx-eurostat-data.html
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jul 27, 2020
    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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Netherlands
    Description

    Netherlands - House price index was 10.30% in September of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Netherlands - House price index - last updated from the EUROSTAT on June of 2025. Historically, Netherlands - House price index reached a record high of 19.00% in March of 2022 and a record low of -9.00% in September of 2012.

  12. o

    Utrecht Housing / Dutch housing market

    • opendatabay.com
    .undefined
    Updated Feb 28, 2025
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    Vdt. Data (2025). Utrecht Housing / Dutch housing market [Dataset]. https://www.opendatabay.com/data/financial/3b2c2355-46d1-448b-ac33-22523e89212a
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    .undefinedAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Vdt. Data
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Utrecht, Netherlands, Urban Planning & Infrastructure
    Description

    The Utrecht Housing Dataset is a synthetic dataset designed for students and practitioners to learn about data science and machine learning. Derived from the Dutch housing market, it is high-quality and noise-free, making it suitable for multiple algorithms such as decision trees, linear regression, logistic regression, and neural networks. This dataset was specifically created for educational purposes and emphasises responsible AI by being accessible to learners with diverse academic backgrounds.

    Dataset Features:

    • id: Unique identifier for each house, ranging from 0 to 100,000 (not used in algorithms).
    • zipcode: Zip code of the house's location, indicating its area. Possible values: 3520, 3525, 3800.
    • lot-len: Length of the house plot in meters, ranging from 5.0 to 100.0.
    • lot-width: Width of the house plot in meters, ranging from 5.0 to 100.0.
    • lot-area: Total area of the house plot in square meters, derived from lot-len * lot-width.
    • house-area: The living area of the house in square meters (e.g., 30.0 for small houses, 200.0 for mansions).
    • garden-size: The size of the garden in square meters, with larger gardens being desirable.
    • balcony: Number of balconies (common values: 0, 1, 3). x-coor: X-coordinate of the house's location (range: 2000 to 3000).
    • y-coor: Y-coordinate of the house's location (range: 5000 to 6000).
    • buildyear: The year the house was built (from as early as 1100 to modern times).
    • bathrooms: Number of bathrooms (common values: 1, 2, or 3). Output/Target Features
    • tax value: Estimated value of the house for taxation, ranging from 50,000 to 1,000,000 euros.
    • Retail value: The market value of the house, also ranges from 50,000 to 1,000,000 euros.
    • energy-eff: Binary indicator (0 or 1) of whether the house is energy-efficient.
    • monument: Binary indicator (0 or 1) of whether the house has architectural or historical monumental value.

    Usage:

    The dataset is ideal for: - Machine Learning Applications: Training and testing predictive models for tax valuation, market value, and energy efficiency. - Feature Analysis: Exploring the relationships between housing attributes and target values. - Educational Purposes: Teaching students about regression, classification, and feature engineering. - Visualisation: Creating plots and graphs due to the well-structured and interpretable data.

    Coverage:

    The dataset provides a comprehensive representation of housing features relevant to the Dutch market, ensuring high usability for educational and experimental projects.

    License:

    CC0 (Public Domain)

    Who Can Use It:

    This dataset is designed for students, researchers, data scientists, and machine learning practitioners seeking to explore real-world applications of AI in housing markets.

    How to Use It:

    • Develop predictive models for tax and retail value estimation.
    • Evaluate housing energy efficiency or monumental status using classification techniques.
    • Explore feature importance to understand what drives housing value.
    • Benchmark machine learning algorithms on a synthetic, high-quality dataset.
  13. Existing own homes; purchase price indices by region 2015=100 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 region 2015=100 1995-2023 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/83913ENG
    Explore at:
    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 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 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 June 2024: This table has been discontinued. This table is followed by Existing own homes; purchase prices, price index 2020=100, region. 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.

  14. Housing prices change in the four largest municipalities in the Netherlands...

    • statista.com
    Updated Nov 22, 2022
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    Statista (2022). Housing prices change in the four largest municipalities in the Netherlands 2013-2017 [Dataset]. https://www.statista.com/statistics/579943/housing-prices-change-in-the-four-largest-municipalities-in-the-netherlands/
    Explore at:
    Dataset updated
    Nov 22, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    This statistic shows the percentage change on the previous year in the four largest municipalities in the Netherlands from the fourth quarter of 2013 to the fourth quarter of 2017. In the fourth quarter of 2017, housing prices in the municipality of Amsterdam increased with approximately 13.4 percent compared to the same period in the previous year. In recent years, the housing market has continued to rise in the Netherlands due to low mortgage rates, a recovering economy and a high level of consumer confidence. For example, the number of registered transactions reached a value of approximately 215,000 in 2016 and the average selling price of houses was higher than in 2013, when prices reached a low point. In 2018, real estate prices are expected to increase with five percent as a high number of sales, combined with an increasingly scarce supply, are expected to push the housing price up.

  15. Demographic developments on the housing market (Dutch only)

    • cbs.nl
    xls?sc_lang=en-gb
    Updated Oct 28, 2013
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    Centraal Bureau voor de Statistiek (2013). Demographic developments on the housing market (Dutch only) [Dataset]. https://www.cbs.nl/en-gb/custom/2013/44/demographic-developments-on-the-housing-market--dutch-only--
    Explore at:
    xls?sc_lang=en-gbAvailable download formats
    Dataset updated
    Oct 28, 2013
    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

    Demographic developments on the housing market (Dutch only)

  16. Third-Party Real Estate Activities in the Netherlands - Market Research...

    • ibisworld.com
    Updated Mar 15, 2024
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    IBISWorld (2024). Third-Party Real Estate Activities in the Netherlands - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/netherlands/industry/third-party-real-estate-activities/200282/
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    Dataset updated
    Mar 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2014 - 2029
    Area covered
    Netherlands
    Description

    Companies operating in the third-party real estate industry have had to navigate numerous economic headwinds in recent years, ranging from rising interest rates, spiralling inflation and muted economic growth. Revenue is projected to sink at a compound annual rate of 3.7% over the five years through 2024, including an estimated slump of 2.1% in 2024 to €196.2 billion, while the average industry profit margin is forecast to reach 34.6%. Amid spiralling inflation, central banks across Europe ratcheted up interest rates, resulting in borrowing costs skyrocketing in the two years through 2023. In residential markets, elevated mortgage rates combined with tightening credit conditions eventually ate into demand, inciting a drop in house prices. Rental markets performed well when house prices were elevated, being the cheaper alternative for cash-strapped buyers. However, even lessors felt the pinch of rising mortgage rates, forcing them to hoist rent to cover costs and pricing out potential buyers. This led to a slowdown in rental markets in 2023, weighing on revenue growth. Revenue is forecast to swell at a compound annual rate of 4% over the five years through 2029 to €238.7 billion. Following a correction during 2024, housing prices are set to being recovering in 2025 as fixed-rate mortgages begin to drop and economic uncertainty subsides, aiding revenue growth in the short term. Over the coming years, Proptech, which has been heavily invested in, will force estate agents to adapt, shaking up the traditional real estate industry. A notable application of Proptech is the use of AI and data analytics to predict a home’s future value.

  17. 4

    NetLogo model: "An Agent-Based Market Analysis of Urban Housing Balance in...

    • data.4tu.nl
    zip
    Updated May 1, 2024
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    Erik Wiegel; Neil Yorke-Smith (2024). NetLogo model: "An Agent-Based Market Analysis of Urban Housing Balance in the Netherlands" [Dataset]. http://doi.org/10.4121/21757244.v1
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    zipAvailable download formats
    Dataset updated
    May 1, 2024
    Dataset provided by
    4TU.ResearchData
    Authors
    Erik Wiegel; Neil Yorke-Smith
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Amsterdam, Netherlands
    Dataset funded by
    European Commission
    Description

    NetLogo model corresponding to the Real Estate journal article: "An Agent-Based Market Analysis of Urban Housing Balance in the Netherlands". NetLogo model and data are included. Please see the paper for a summary description of the model, and a detailed description in the Supplementary Material.

  18. T

    Netherlands - Housing cost overburden rate: Tenant, rent at market price

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 15, 2020
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    TRADING ECONOMICS (2020). Netherlands - Housing cost overburden rate: Tenant, rent at market price [Dataset]. https://tradingeconomics.com/netherlands/housing-cost-overburden-rate-tenant-rent-at-market-price-eurostat-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Sep 15, 2020
    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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Netherlands
    Description

    Netherlands - Housing cost overburden rate: Tenant, rent at market price was 43.90% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Netherlands - Housing cost overburden rate: Tenant, rent at market price - last updated from the EUROSTAT on July of 2025. Historically, Netherlands - Housing cost overburden rate: Tenant, rent at market price reached a record high of 47.90% in December of 2023 and a record low of 16.00% in December of 2010.

  19. Direct Real Estate Activities in the Netherlands - Market Research Report...

    • ibisworld.com
    Updated Mar 15, 2024
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    IBISWorld (2024). Direct Real Estate Activities in the Netherlands - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/netherlands/industry/direct-real-estate-activities/200281/
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    Dataset updated
    Mar 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2014 - 2029
    Area covered
    Netherlands
    Description

    The Direct Real Estate Activities industry have come up against numerous headwinds in recent years, ranging from the COVID-19 outbreak in 2020 to the rising base rate environment in the years since, which have inflated borrowing costs for potential buyers. This is a sharp contrast to the ultra-low interest environment seen over the decade following the 2008 financial crisis. Revenue is forecast to fall at a compound annual rate of 4.0% over the five years through 2024 to €588.2 billion, including an anticipated drop of 3.1% in 2024. However, profitability remains strong, with the average industry profit margin standing at an estimated 41.6% in 2024. Central banks across Europe adopted aggressive monetary policy in the two years through 2023 in an effort to curb spiralling inflation. This ratcheted up borrowing costs and hit the real estate sector. In the residential property market, mortgage rates picked up and hit housing transaction levels. However, the level of mortgage rate hikes has varied across Europe, with the UK experiencing the largest hike, meaning the dent to UK real estate demand was more pronounced. Commercial real estate has also struggled due to inflationary pressures, supply chain disruptions and rising rates. Alongside this, the market’s stock of office space isn’t able to satisfy business demand, with companies placing a greater emphasis on high-quality space and environmental impact – properties in many areas aren’t suitable due to their lack of green credentials. Revenue is slated to inch upwards at a compound annual rate of 3.1% over the five years through 2029 to €651.3 billion. Although economic conditions are set to improve in the short term, elevated mortgage rates will continue to weigh on demand for residential property. However, the warehousing market is positioned for solid growth, benefitting from the rise in e-commerce. This is particularly relevant to Poland, which leads the EU warehouse market.

  20. Netherlands renatl houses

    • kaggle.com
    Updated Sep 29, 2023
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    H.R zarnegari (2023). Netherlands renatl houses [Dataset]. https://www.kaggle.com/datasets/hrzarnegari/netherlands-renatl-houses
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 29, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    H.R zarnegari
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Netherlands
    Description

    Dataset

    This dataset was created by H.R zarnegari

    Released under CC0: Public Domain

    Contents

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Statista (2025). Housing prices change in the Netherlands 1996-2023 [Dataset]. https://www.statista.com/statistics/593390/housing-prices-change-in-the-netherlands/
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Housing prices change in the Netherlands 1996-2023

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 10, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 1996 - Dec 2023
Area covered
Netherlands
Description

House prices in the Netherlands had been on an upward trend for nearly nine years, before starting to decline for most of 2023. In December 2023, the average house price rose by *** percent from the same period the year before. In comparison, in December 2022, house prices soared by *** percent because of the low mortgage rates, a recovering economy and a high level of consumer confidence at the time. According to a forecast released in October 2023, real estate prices were expected to decline in 2024.

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