35 datasets found
  1. Index of industrial property prices in the Netherlands 2015-2023, per...

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Index of industrial property prices in the Netherlands 2015-2023, per quarter [Dataset]. https://www.statista.com/statistics/1465602/commercial-property-index-industrial-buildings-netherlands/
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    The commercial property price index in the Netherlands for industrial buildings showed a significant increase between 2015 and 2023. As of the second quarter of 2023, the industrial buildings price index hit its highest value, at 176.6 points, marking an over 70 index points increase, when compared to the baseline year of 2015.

  2. Logistics real estate average rent in the Netherlands 2017-2022, by province...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Logistics real estate average rent in the Netherlands 2017-2022, by province [Dataset]. https://www.statista.com/statistics/867456/logistics-real-estate-average-rent-in-the-netherlands-by-location/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    The average rent prices of logistics property in the Netherlands ranged between approximately ** euros per square meter and ** euros per square meter, depending on the province. Though the average rent was about **** euros per square meter in 2022, in the Southwest Netherlands, it reached up to **** euros per square meters. Though industrial and logistics property comes in different sizes, the largest size class was the most popular in 2022.The source, the NVM, is a Dutch branch organization of real estate agents and appraisers. Almost ** percent of Dutch houses are sold by real estate agents who are members of this organization.

  3. p

    Industrial Real Estate Agencies in Netherlands - 62 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jul 13, 2025
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    Poidata.io (2025). Industrial Real Estate Agencies in Netherlands - 62 Verified Listings Database [Dataset]. https://www.poidata.io/report/industrial-real-estate-agency/netherlands
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    csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Netherlands
    Description

    Comprehensive dataset of 62 Industrial real estate agencies in Netherlands as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  4. 4

    Metadata for the dissertation: Improving Commercial Property Price...

    • data.4tu.nl
    Updated Nov 25, 2024
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    Farley Ishaak (2024). Metadata for the dissertation: Improving Commercial Property Price Statistics [Dataset]. http://doi.org/10.4121/cab0cf0e-668f-46db-82bb-94abe78faeb0.v1
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    Dataset updated
    Nov 25, 2024
    Dataset provided by
    4TU.ResearchData
    Authors
    Farley Ishaak
    License

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

    Time period covered
    2008 - 2023
    Area covered
    Netherlands
    Description

    This metadata document provides details of the data used for the dissertation: “Improving Commercial Property Price Statistics”. The study explores data related and methodological challenges in the construction of price statistics for commercial real estate.


    Short abstract of the dissertation

    Since the financial crisis of 2008, National Statistical Institutes (NSIs) have worked to develop commercial real estate (CRE) indicators for official statistics. These indicators are considered essential in financial stability monitoring and may help contain the consequences of future crises or even prevent future crises. However, progress at NSIs to develop these indicators has been slow due to challenges like low observation numbers and high heterogeneity. This dissertation addresses these challenges by exploring data issues and suggesting methodological improvements.


    The first three studies focus on data challenges regarding share deals and portfolio sales. Both are real estate trading constructions that are specific to CRE. The results show that share deals and portfolio sales significantly differ from the rest of the market. Therefore, under specific circumstances, CRE indicators could benefit from including these trading types. The final two studies focus on methodological challenges regarding index construction methods and the role of sustainability in real estate pricing. The results show that, by combining established techniques, it is possible to construct price indices that meet official statistics’ standards. Furthermore, the results uncover a complex relationship between sustainability and prices: while energy efficiency generally involves price premiums, others aspects like health and environment display a discount for low sustainable properties.


    Overall, this dissertation contributes to the legislative framework that is currently being developed for EU countries to publish official statistics for commercial real estate and adds to the academic discussion by presenting innovative techniques for data analyses and index construction.


    Data sources

    The following data sources were used:

    1. Bussiness Register (Statistics Netherlands)
    2. Transactions linked to the Register of Adresses and Buildings (BAG)
    3. Linking table buildings and companies (Dutch Land Registry Office)
    4. Property Transfer Tax data (Dutch Tax Authorities)
    5. Building sustainability scores (W/E advisors)Commercial real estate transactions (Dutch Land Registry Office)
    6. Commercial real estate transactions (Dutch Land Registry Office)


    Processing methodology

    1. The data is originally stored in an SQL database and is processed with SQL and R code (version 4.2). In the code, the name of the table is tbl_SPE_2_ABR_Bedrijfsinfo. The data is used for deriving company transfers by comparing ownership states of various periods. The first period that an ownership differs of the same company indicates an ownership transfer.
    2. The data is originally stored in an SQL database and is processed with SQL and R code (version 4.2). In the code, the name of the table is tbl_SPE_6_ABR_CompleetMicro. The data is used for calcuting the size of real estate share deals and estimating price developments by applying appropriate filters and counting the output.
    3. The data is originally stored in an SQL database and is processed with R code (version 4.2). In the code, the name of the table is SPE_KADASTER. The data is used for finding real estate information that corresponds to company transfers by linking the company register (ABR) to the real estate register (BAG).
    4. The data is originally stored in an SQL database and is processed with R code (version 4.2). In the code, the name of the table is tbl_SPE_3_OVB_Bedrijfsinfo. The data is used for deriving real estate share deals by linking this table (Kadaster) to the real estate register (BAG).
    5. The data is originally stored in an SQL database and is processed with R code (version 4.2). In the code, the name of the table is duurzaamheid_input_regressie2. The data is used for finding the relationship between sustainabilty measures and real estate transaction prices by linking sustainabilty scores from a consultancy (WE) to transaction prices (Cadastre) and running regression analyses.
    6. The data is originally stored in an SQL database and is processed with R code (version 4.2). In the code, the name of the table is tbl_OV20_pand. The data is used for 4 purposes (separate studies).
    • (1) Chapter 3: Determining the price effect of portfolio sale by running regression analyses
    • (2) Chapter 4: Developing methods to include portfolio sales in CPPI calcutions by using auxilary data of the real estate properties.
    • (3) Chapter 5: Developing a price index method for small domains by using these data to test the outcomes
    • (4) Chapter 6: Determining the relationship between sustatinability by running regression analyses


    Data restrictions

    As part of the CBS law, sharing micro-data outside of the CBS-environment is prohibited. Furthermore, CBS manages the data, but in some cases other parties are still formal owners of the data. The 2 other parties are The Land Registry Office and WE consultancy. Ownership and intellectual property rights are managed in contracts with both owners. It was agreed upon that the data can only be used for the purpose of the PhD study and that the microdata will never be externally disseminated. The data is still owned by them and the intellectual property rights of the analyses belong to me. An intended use of the microdata should be approved by both Statistics Netherlands and the formal data owner. Because of the above, no data can be publicly shared.


    If one intends to do research on these data, an application for data use can be requested at CBS. CBS will charge costs for anonymising the data and providing a closed environment to work with the data. More information on this can be found at: https://www.cbs.nl/en-gb/our-services/customised-services-microdata/microdata-conducting-your-own-research


    Contact information

    Author: Farley Ishaak

    Statistics Netherlands | Henri Faasdreef 312 | P.O. Box 24500 | 2490 HA The Hague

    TU Delft | Delft University of Technology | Faculty of Architecture and the Built Environment

    Department of Management in the Built Environment | P.O. Box 5043 | 2600 GA Delft

    M +31 6 46307974 | ff.ishaak@cbs.nl | f.f.ishaak@tudelft.nl

  5. p

    Commercial Real Estate Inspectors in Netherlands - 147 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jul 18, 2025
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    Poidata.io (2025). Commercial Real Estate Inspectors in Netherlands - 147 Verified Listings Database [Dataset]. https://www.poidata.io/report/commercial-real-estate-inspector/netherlands
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    csv, json, excelAvailable download formats
    Dataset updated
    Jul 18, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Netherlands
    Description

    Comprehensive dataset of 147 Commercial real estate inspectors in Netherlands as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

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

    • ibisworld.com
    Updated Jul 15, 2025
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    IBISWorld (2025). 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
    Jul 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2015 - 2030
    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 high base rate environment in the years since, which has 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. Still, revenue is forecast to edge upwards at a compound annual rate of 0.6% over the five years through 2025 to €622.9 billion, including an anticipated rise of 0.8% in 2025. Despite weak revenue growth, profitability remains strong, with the average industry profit margin standing at an estimated 18.9% in 2025. 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 rise, 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 haven't been suitable due to their lack of green credentials. Nevertheless, things are looking up, as interest rates have been falling across Europe over the two years through 2025, reducing borrowing costs and boosting the number of property transactions, which is aiding revenue growth for estate agents. Revenue is slated to grow at a compound annual rate of 4.5% over the five years through 2030 to €777.6 billion. Economic conditions are set to improve in the short term, which will boost consumer and business confidence, ramping up the number of property transactions in both the residential and commercial real estate markets. However, estate agents may look to adjust their offerings to align with the data centre boom to soak up the demand from this market, while also adhering to sustainability commitments.

  7. Logistics real estate on demand in the Netherlands Q3 2021-Q3 2022, by...

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Logistics real estate on demand in the Netherlands Q3 2021-Q3 2022, by property size [Dataset]. https://www.statista.com/statistics/867418/logistics-real-estate-on-demand-in-the-netherlands-by-property-size/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    The demand for industrial and logistics property in the Netherlands decreased across most size classes between the third quarter of 2021 and the third quarter of 2022. Overall, demand fell from *** million square meters to *** million square meters. Large properties of ****** square meters or more had the highest share of the demand.

    The source, the NVM, is a Dutch branch organization of real estate agents and appraisers. Almost ** percent of Dutch houses are sold by real estate agents who are members of this organization. In the Netherlands, Schiphol is the most expensive logistics property market.

  8. Logistics real estate on supply in the Netherlands Q3 2021-Q3 2022, by...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Logistics real estate on supply in the Netherlands Q3 2021-Q3 2022, by property size [Dataset]. https://www.statista.com/statistics/867447/logistics-real-estate-on-supply-in-the-netherlands-by-property-size/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    The supply of industrial and logistics real estate in the Netherlands decreased across all size classes between the third quarter of 2021 and the third quarter of 2022. The largest share of supply was in properties between 10,000 to ****** square meters. There were **** million square meters of industrial real estate available in this size class.

    The source, the NVM, is a Dutch branch organization of real estate agents and appraisers. Almost ** percent of Dutch houses are sold by real estate agents who are members of this organization. In the Netherlands, the most expensive place to buy logistics property in was Schiphol.

  9. Index of retail property prices in the Netherlands 2015-2023, per quarter

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Index of retail property prices in the Netherlands 2015-2023, per quarter [Dataset]. https://www.statista.com/statistics/1465598/commercial-property-index-retail-buildings-netherlands/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    The commercial property price index in the Netherlands for retail buildings showed an upward trend between 2015 and 2023. The index measures the development of prices, with 2015 as a baseline year. A value of *** indicates a price increase of ** percent. As of the second quarter of 2023, the retail building price index hit its highest value, at ***** points, which shows an increasing demand for retail properties in the country.

  10. 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
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Denmark, Gibraltar, Netherlands, Serbia, Greece, Finland, Monaco, Bulgaria, Croatia, Isle of Man
    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. ...
  11. N

    Netherlands No of Enterprises: Renting, Buying and Selling Real Estate

    • ceicdata.com
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    CEICdata.com, Netherlands No of Enterprises: Renting, Buying and Selling Real Estate [Dataset]. https://www.ceicdata.com/en/netherlands/number-of-enterprises-standard-industrial-classification-2008
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    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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Netherlands
    Variables measured
    Enterprises Statistics
    Description

    No of Enterprises: Renting, Buying and Selling Real Estate data was reported at 28,920.000 Unit in 2017. This records an increase from the previous number of 27,805.000 Unit for 2016. No of Enterprises: Renting, Buying and Selling Real Estate data is updated yearly, averaging 27,605.000 Unit from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 28,920.000 Unit in 2017 and a record low of 26,190.000 Unit in 2006. No of Enterprises: Renting, Buying and Selling Real Estate data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.O021: Number of Enterprises: Standard Industrial Classification 2008.

  12. Index of office property prices in the Netherlands 2015-2023, per quarter

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Index of office property prices in the Netherlands 2015-2023, per quarter [Dataset]. https://www.statista.com/statistics/1465583/commercial-property-index-office-buildings-netherlands/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    The commercial property price index in the Netherlands for office buildings has increased significantly since 2015, peaking in 2022. In the second quarter of 2023, the index amounted to ***** index points, which was only a slight decline from the market peak. The index measures the change in property prices, with 2015 as a baseline year. A value of *** index points suggests an increase of ** percent since 2015.

  13. N

    Netherlands No of Job Vacancies: Filled: Renting, Buying, Selling Real...

    • ceicdata.com
    Updated Mar 15, 2018
    + more versions
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    CEICdata.com (2018). Netherlands No of Job Vacancies: Filled: Renting, Buying, Selling Real Estate [Dataset]. https://www.ceicdata.com/en/netherlands/number-of-job-vacancies-standard-industrial-classification-2008/no-of-job-vacancies-filled-renting-buying-selling-real-estate
    Explore at:
    Dataset updated
    Mar 15, 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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Netherlands
    Variables measured
    Job Vacancies
    Description

    Netherlands Number of Job Vacancies: Filled: Renting, Buying, Selling Real Estate data was reported at 3.000 Unit th in Mar 2018. This records an increase from the previous number of 2.000 Unit th for Dec 2017. Netherlands Number of Job Vacancies: Filled: Renting, Buying, Selling Real Estate data is updated quarterly, averaging 2.000 Unit th from Mar 1997 (Median) to Mar 2018, with 85 observations. The data reached an all-time high of 4.000 Unit th in Jun 2007 and a record low of 1.000 Unit th in Mar 2015. Netherlands Number of Job Vacancies: Filled: Renting, Buying, Selling Real Estate data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.G021: Number of Job Vacancies: Standard Industrial Classification 2008.

  14. Prime rent costs for warehouses in the Netherlands 2014- Q1 2025, by city

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Prime rent costs for warehouses in the Netherlands 2014- Q1 2025, by city [Dataset]. https://www.statista.com/statistics/527845/warehouse-primary-rent-cost-logistics-market-netherlands-europe/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    The primary rental rates per square meter for warehouses of more than ***** square meters increased in the Netherlands in 2025. The rental rate of warehouses in Rotterdam and Amsterdam amounted to ** euros per square meter each in the first quarter of 2025. Due to the small size of the country and the relatively high connectivity to the big cities, there is less of a need for urban distribution centers (DCs) like in London or Berlin. Most take-up of logistics property could be found in the south of the country: the Venlo-Venray-Eindhoven area, along with Western Brabant (Breda-Moerdijk-Roosendaal). Which warehouses can be found in the south of the Netherlands? Most of the logistics property in the Netherlands was taken up for third-party logistics behind European retailers and e-commerce companies. Many international brands opened DCs in the country. Venlo, for example, supplies European fashion brands Michael Kors, Tommy Hilfiger, Calvin Klein and Under Armour via Trade Port Venlo Noord. Lidl opened its European e-commerce DC close to the city of Roosendaal in 2018. Other areas outside the big cities are also gaining interest, however. Spain’s Inditex (the company behind Zara, Pull&Bear and Berschka) are to open a logistics center in Lelystad (east of Amsterdam and north of Utrecht) in 2019. Bigger = better? In 2022, demand was highest for medium and large-sized logistics property. Bigger properties allow more flexibility, but the supply of large lots for such facilities is limited. On the other hand, smaller properties can be built closer to urban centers, allowing for easy reach to the end customer.

  15. Total investment in commercial property market in Amsterdam 2013-2019

    • statista.com
    Updated Nov 16, 2024
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    Statista (2024). Total investment in commercial property market in Amsterdam 2013-2019 [Dataset]. https://www.statista.com/statistics/530222/commercial-property-market-investment-volume-amsterdam-netherlands-europe/
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    Dataset updated
    Nov 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    In 2019, the total investment volume in commercial property in Amsterdam reached 3.6 billion euros. This is a decrease compared to the previous year. Despite that, commercial real estate investments in the first three quarters of 2018 in the Netherlands were ranked as the fourth highest of Europe.

    A high demand for offices in Amsterdam…

    Demand for office space in Amsterdam was almost as high as the demand in the three cities of The Hague, Utrecht and Rotterdam combined. In 2017, approximately 350,000 square meters was in demand in the Dutch capital. As the number of office completions could not keep up with the increasing demand, prices in certain Amsterdam districts went up. An office in a prime location in the city’s South Axis district (in Dutch: Zuidas, the Amsterdam business district) on average would cost around 48 U.S. dollars per square feet per year at the end of 2018.

    … but less demand for warehouses or logistics property in the capital.

    Amsterdam, however, was not the biggest logistics hotspot in the Netherlands. The take-up volume of logistics property in 2018 was highest in cities in the south of the country, such as Venlo (home of Trade Port Venlo Noord, which supplies fashion brands), Eindhoven and Tilburg. Rents for warehouses were lower in these southern cities, reaching 50 and 45 euros per square meter in Roosendaal and Venlo respectively compared to 65 and 95 euros per square meter in Amsterdam and Amsterdam Airport Schiphol.

  16. Netherlands No of Job Vacancies: Unfilled: Renting, Buying, Selling Real...

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Netherlands No of Job Vacancies: Unfilled: Renting, Buying, Selling Real Estate [Dataset]. https://www.ceicdata.com/en/netherlands/number-of-job-vacancies-standard-industrial-classification-2008/no-of-job-vacancies-unfilled-renting-buying-selling-real-estate
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    Dataset updated
    Jan 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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Netherlands
    Variables measured
    Job Vacancies
    Description

    Netherlands Number of Job Vacancies: Unfilled: Renting, Buying, Selling Real Estate data was reported at 2.100 Unit th in Mar 2018. This records an increase from the previous number of 2.000 Unit th for Dec 2017. Netherlands Number of Job Vacancies: Unfilled: Renting, Buying, Selling Real Estate data is updated quarterly, averaging 1.300 Unit th from Mar 1997 (Median) to Mar 2018, with 85 observations. The data reached an all-time high of 3.500 Unit th in Jun 2007 and a record low of 0.400 Unit th in Jun 2013. Netherlands Number of Job Vacancies: Unfilled: Renting, Buying, Selling Real Estate data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.G021: Number of Job Vacancies: Standard Industrial Classification 2008.

  17. Netherlands Average Monthly Earnings: SIC 2008: Rental and Commercial Real...

    • ceicdata.com
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    CEICdata.com, Netherlands Average Monthly Earnings: SIC 2008: Rental and Commercial Real Estate [Dataset]. https://www.ceicdata.com/en/netherlands/average-monthly-earnings/average-monthly-earnings-sic-2008-rental-and-commercial-real-estate
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    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, 2009 - Dec 1, 2016
    Area covered
    Netherlands
    Variables measured
    Wage/Earnings
    Description

    Netherlands Average Monthly Earnings: SIC 2008: Rental and Commercial Real Estate data was reported at 2,991.000 EUR in 2017. This records an increase from the previous number of 2,950.000 EUR for 2016. Netherlands Average Monthly Earnings: SIC 2008: Rental and Commercial Real Estate data is updated yearly, averaging 2,909.000 EUR from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 2,991.000 EUR in 2017 and a record low of 2,729.000 EUR in 2009. Netherlands Average Monthly Earnings: SIC 2008: Rental and Commercial Real Estate data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.G028: Average Monthly Earnings.

  18. Construction permits for commercial buildings in the Netherlands 2012-2024,...

    • statista.com
    Updated Feb 5, 2025
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    Statista (2025). Construction permits for commercial buildings in the Netherlands 2012-2024, by type [Dataset]. https://www.statista.com/statistics/586621/number-of-build-permits-existing-commercial-real-estate-in-the-netherlands-by-province/
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    Dataset updated
    Feb 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    Halls, sheds, greenhouses, and stables made up most of the construction permits issued in the Netherlands for commercial buildings in the third quarter of 2024. The number of permits for offices, stores, and schools was significantly smaller throughout the period considered here.

  19. Average transaction time for commercial real estate in the Netherlands...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Average transaction time for commercial real estate in the Netherlands 2006-2016 [Dataset]. https://www.statista.com/statistics/707102/average-transaction-time-for-commercial-real-estate-in-the-netherlands/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    This statistic shows the average transaction time for commercial real estate in the Netherlands from 2006 to 2016 (in number of days). In 2016, the average duration for a transaction in commercial real estate in the Netherlands was approximately *** days. This is a decrease from the average of approximately *** days in 2015.

    In recent years, the commercial real estate market lost ground in the Netherlands. Thanks to a recovering economy and a high level of consumer confidence, it is expected that the average transaction time will not increase in the future. Additionally, the number of commercial real estate constructed in the Netherlands is increasing. In the third quarter of 2017, a total of approximately ***** units of commercial real estate were constructed in the Netherlands.

  20. Netherlands Number of Bankruptcies: Annual: Renting, Buying and Selling Real...

    • ceicdata.com
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    CEICdata.com, Netherlands Number of Bankruptcies: Annual: Renting, Buying and Selling Real Estate [Dataset]. https://www.ceicdata.com/en/netherlands/number-of-bankruptcies-standard-industrial-classification-2008-by-economic-activities/number-of-bankruptcies-annual-renting-buying-and-selling-real-estate
    Explore at:
    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, 2006 - Dec 1, 2017
    Area covered
    Netherlands
    Variables measured
    Enterprises Statistics
    Description

    Netherlands Number of Bankruptcies: Annual: Renting, Buying and Selling Real Estate data was reported at 96.000 Unit in 2017. This records a decrease from the previous number of 146.000 Unit for 2016. Netherlands Number of Bankruptcies: Annual: Renting, Buying and Selling Real Estate data is updated yearly, averaging 97.000 Unit from Dec 1993 (Median) to 2017, with 25 observations. The data reached an all-time high of 247.000 Unit in 2012 and a record low of 35.000 Unit in 2000. Netherlands Number of Bankruptcies: Annual: Renting, Buying and Selling Real Estate data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.O014: Number of Bankruptcies: Standard Industrial Classification 2008: by Economic Activities.

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Statista (2025). Index of industrial property prices in the Netherlands 2015-2023, per quarter [Dataset]. https://www.statista.com/statistics/1465602/commercial-property-index-industrial-buildings-netherlands/
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Index of industrial property prices in the Netherlands 2015-2023, per quarter

Explore at:
Dataset updated
Jan 28, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Netherlands
Description

The commercial property price index in the Netherlands for industrial buildings showed a significant increase between 2015 and 2023. As of the second quarter of 2023, the industrial buildings price index hit its highest value, at 176.6 points, marking an over 70 index points increase, when compared to the baseline year of 2015.

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