56 datasets found
  1. Average price per square meter of an apartment in Europe 2025, by city

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Average price per square meter of an apartment in Europe 2025, by city [Dataset]. https://www.statista.com/statistics/1052000/cost-of-apartments-in-europe-by-city/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    Geneva stands out as Europe's most expensive city for apartment purchases in early 2025, with prices reaching a staggering 15,720 euros per square meter. This Swiss city's real estate market dwarfs even high-cost locations like Zurich and London, highlighting the extreme disparities in housing affordability across the continent. The stark contrast between Geneva and more affordable cities like Nantes, France, where the price was 3,700 euros per square meter, underscores the complex factors influencing urban property markets in Europe. Rental market dynamics and affordability challenges While purchase prices vary widely, rental markets across Europe also show significant differences. London maintained its position as the continent's priciest city for apartment rentals in 2023, with the average monthly costs for a rental apartment amounting to 36.1 euros per square meter. This figure is double the rent in Lisbon, Portugal or Madrid, Spain, and substantially higher than in other major capitals like Paris and Berlin. The disparity in rental costs reflects broader economic trends, housing policies, and the intricate balance of supply and demand in urban centers. Economic factors influencing housing costs The European housing market is influenced by various economic factors, including inflation and energy costs. As of April 2025, the European Union's inflation rate stood at 2.4 percent, with significant variations among member states. Romania experienced the highest inflation at 4.9 percent, while France and Cyprus maintained lower rates. These economic pressures, coupled with rising energy costs, contribute to the overall cost of living and housing affordability across Europe. The volatility in electricity prices, particularly in countries like Italy where rates are projected to reach 153.83 euros per megawatt hour by February 2025, further impacts housing-related expenses for both homeowners and renters.

  2. Median rent for a furnished one-bedroom apartment in Europe 2025, by city

    • statista.com
    • ai-chatbox.pro
    Updated May 7, 2025
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    Statista (2025). Median rent for a furnished one-bedroom apartment in Europe 2025, by city [Dataset]. https://www.statista.com/statistics/1084608/average-rental-cost-apartment-europe-by-city/
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    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    Amsterdam is set to maintain its position as Europe's most expensive city for apartment rentals in 2025, with median costs reaching 2,500 euros per month for a furnished one-bedroom unit. This figure is double the rent in Prague and significantly higher than other major European capitals like Paris, Berlin, and Madrid. The stark difference in rental costs across European cities reflects broader economic trends, housing policies, and the complex interplay between supply and demand in urban centers. Factors driving rental costs across Europe The disparity in rental prices across European cities can be attributed to various factors. In countries like Switzerland, Germany, and Austria, a higher proportion of the population lives in rental housing. This trend contributes to increased demand and potentially higher living costs in these nations. Conversely, many Eastern and Southern European countries have homeownership rates exceeding 90 percent, which may help keep rental prices lower in those regions. Housing affordability and market dynamics The relationship between housing prices and rental rates varies significantly across Europe. As of 2024, countries like Turkey, Iceland, Portugal, and Hungary had the highest house price to rent ratio indices. This indicates a widening gap between property values and rental costs since 2015. The affordability of homeownership versus renting differs greatly among European nations, with some countries experiencing rapid increases in property values that outpace rental growth. These market dynamics influence rental costs and contribute to the diverse rental landscape observed across European cities.

  3. A

    ‘New Apartment prices by year’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 18, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘New Apartment prices by year’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-europa-eu-new-apartment-prices-by-year-c71b/aec8b086/?iid=000-220&v=presentation
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    Dataset updated
    Jan 18, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘New Apartment prices by year’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-data-usmart-io-org-ae1d5c14-c392-4c3f-9705-537427eeb413-dataset-viewdiscovery-datasetguid-19c87ab0-a6fe-4910-a96a-891cd77f575c on 18 January 2022.

    --- Dataset description provided by original source is as follows ---

    Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Measured in €

    --- Original source retains full ownership of the source dataset ---

  4. v

    Europe Apartment Hotel Market Size By Type (Midscale Extended Stay Hotel,...

    • verifiedmarketresearch.com
    Updated Aug 22, 2023
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    Europe Apartment Hotel Market Size By Type (Midscale Extended Stay Hotel, Upscale Extended Stay Hotel, Economy Extended Stay Hotel), By Application (Travelers, Business Customers, Trainers and Trainees, Government and Army Staff), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/europe-apartment-hotel-market/
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    Dataset updated
    Aug 22, 2023
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2026 - 2032
    Area covered
    Europe
    Description

    Europe Apartment Hotel Market size was valued at USD 1,331.69 Million in 2022 and is projected to reach USD 2,740.85 Million by 2030, growing at a CAGR of 9.48% from 2023 to 2030.The Europe apartment hotel market is experiencing robust growth, propelled by several key factors. Foremost among these is the increasing demand for flexible, home-like accommodations that cater to both business and leisure travelers. Apartment hotels offer the comfort of residential living combined with hotel amenities, appealing to guests seeking longer stays and more personalized experiences. The rise of remote and hybrid work models has further amplified this demand, as professionals look for accommodations that support extended stays with facilities like kitchens and workspaces. Additionally, regulatory measures in cities like Barcelona, which are restricting short-term tourist rentals to address housing affordability, are redirecting travelers toward licensed apartment hotels, thereby boosting their occupancy rates.

  5. C

    Centralized Long-Term Rental Apartment Rental Service Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 26, 2025
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    Data Insights Market (2025). Centralized Long-Term Rental Apartment Rental Service Report [Dataset]. https://www.datainsightsmarket.com/reports/centralized-long-term-rental-apartment-rental-service-1464618
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 26, 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
    Global
    Variables measured
    Market Size
    Description

    The centralized long-term rental apartment market is experiencing robust growth, driven by increasing urbanization, the rise of the gig economy (affecting migrant workers and international students), and a growing preference for convenient, managed rental solutions. This market, estimated at $150 billion globally in 2025, is projected to experience a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching an estimated $275 billion by 2033. Key growth drivers include the expanding populations of transient professionals (migrant workers and international students) seeking streamlined rental experiences and property management companies aiming for improved efficiency and economies of scale through centralized operations. The market is segmented by application (migrant workers, international students, others) and model (asset-heavy, asset-light). Asset-light models, characterized by partnerships and management contracts, are gaining traction due to lower upfront capital requirements and increased scalability. Geographic expansion, particularly in rapidly developing Asian markets like China and India, presents significant growth opportunities. However, challenges remain, including regulatory hurdles in some regions and competition from traditional, decentralized rental models. The success of major players such as Greystar, Lincoln Property Company, and AvalonBay Communities in the US, and counterparts like Vanke Group and LIANJIA in China, highlights the effectiveness of centralized management strategies. Their ability to leverage technology for streamlined operations, efficient marketing, and improved tenant satisfaction contributes to their market dominance. Future growth will depend on continued technological innovation, strategic partnerships, expansion into underserved markets, and adapting to evolving tenant preferences. The increasing adoption of smart home technologies and data analytics within centralized platforms will further enhance the tenant experience and operational efficiency, driving further market expansion. The asset-light model's flexibility and lower risk profile makes it attractive for investors looking to capitalize on this expanding market. However, regulatory changes impacting rental agreements and property management practices could present challenges for growth in specific markets.

  6. A

    ‘New Apartment Prices by agency — by year’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 16, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘New Apartment Prices by agency — by year’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-europa-eu-new-apartment-prices-by-agency-by-year-7999/latest
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    Dataset updated
    Jan 16, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘New Apartment Prices by agency — by year’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-data-usmart-io-org-ae1d5c14-c392-4c3f-9705-537427eeb413-dataset-viewdiscovery-datasetguid-009dcd9f-5410-4dbf-b740-90d642304e49 on 16 January 2022.

    --- Dataset description provided by original source is as follows ---

    This series does not include house prices. Measured in EUR

    --- Original source retains full ownership of the source dataset ---

  7. e

    Housing inventory and secondary homes rate

    • data.europa.eu
    esri rest, html +3
    Updated Jun 8, 2020
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    Federal Office for Spatial Development (2020). Housing inventory and secondary homes rate [Dataset]. https://data.europa.eu/data/datasets/ed80ebde-99a0-4523-bc8a-4ec23426d966-bundesamt-fur-raumentwicklung-are
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    wmts, html, wms, unknown, esri restAvailable download formats
    Dataset updated
    Jun 8, 2020
    Dataset authored and provided by
    Federal Office for Spatial Development
    License

    http://dcat-ap.ch/vocabulary/licenses/terms_byhttp://dcat-ap.ch/vocabulary/licenses/terms_by

    Description

    The apartment inventory map service shows the status in blue primer of the municipalities that are subject to the building regulations of the Second Housing Act (ZWG, SR 702) and are only allowed to set up second homes under strict conditions (ZWG Art. 7ff.). The Second Homes Act defines the limit of a second home proportion at 20 per cent. The Second Homes Act obliges all Swiss municipalities to create an annual apartment inventory to calculate the number of proportion of second apartments. The basis for this is the Swiss Federal Register of Buildings and Dwellings. The Swiss Federal Register of Buildings and Dwellings is maintained by the municipalities and evaluated by the Federal Office for Spatial Development by 31.12. The Federal Office for Spatial Development will publish the apartment inventory and number of second apartments at the end of March. Municipalities whose second apartment share in March was under or over the limit of 20 per cent will be subject to a procedure to check the second apartment share. The list of the state of proceedings (status) will be updated at the end of October. The percentages of the apartment inventory will remain unchanged until the next publication of the apartment inventories at the end of March, as the exact values ​​do not always have to be determined in the examination procedure for the decision below or above 20 percent second home share. For more precise information, the municipalities are responsible for ongoing proceedings. The municipalities have to show the total number of apartments and first apartments in the apartment inventory, however, there is no obligation to declare first apartments, equivalent apartments or second apartments as such in the RBD. Therefore, the data from the apartment inventory regarding second apartments cannot be compared with data from other municipalities.

  8. Median of the housing cost burden distribution by age group - EU-SILC survey...

    • data.europa.eu
    • opendata.marche.camcom.it
    tsv, zip
    Updated Dec 17, 2021
    + more versions
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    Eurostat (2021). Median of the housing cost burden distribution by age group - EU-SILC survey [Dataset]. https://data.europa.eu/data/datasets/a3qipjfwuhxqdm9eodqva?locale=en
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    tsv, zipAvailable download formats
    Dataset updated
    Dec 17, 2021
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Description

    This indicator is defined as the median of the distribution of the share of total housing costs (net of housing allowances) in the total disposable household income (net of housing allowances) presented by age group.

  9. v

    Europe Residential Real Estate Market By Property Type (Single-family Homes,...

    • verifiedmarketresearch.com
    Updated Apr 10, 2025
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    VERIFIED MARKET RESEARCH (2025). Europe Residential Real Estate Market By Property Type (Single-family Homes, Apartments/Flats), By Price (Affordable Housing, Mid-range Housing), By Buyer Type (Owner-occupiers, Investors) & Region for 2026-2032 [Dataset]. https://www.verifiedmarketresearch.com/product/europe-residential-real-estate-market/
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    Dataset updated
    Apr 10, 2025
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2026 - 2032
    Area covered
    Europe
    Description

    The Europe Residential Real Estate Market was valued at USD 950 Billion in 2024 is projected to reach USD 1350 Billion by 2032, growing at a CAGR of 4.4% from 2026 to 2032.

    Europe Residential Real Estate Market: Definition/ Overview

    Residential real estate refers to properties that are primarily used for dwelling purposes, including single-family homes, apartments, townhouses, and vacation homes. It is a vital sector of the real estate market, offering spaces for individuals and families to live, and can be purchased or rented. The application of residential real estate extends to both the owner-occupied and rental markets, with trends influenced by factors such as urbanization, lifestyle changes, economic conditions, and technological advancements.

  10. C

    Housing costs of households; dwelling characteristics, region, 2009-2015

    • ckan.mobidatalab.eu
    • cloud.csiss.gmu.edu
    • +3more
    Updated Jul 13, 2023
    + more versions
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    OverheidNl (2023). Housing costs of households; dwelling characteristics, region, 2009-2015 [Dataset]. https://ckan.mobidatalab.eu/dataset/4127-housing-costs-of-households-dwelling-characteristics-region-2009-2015
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    http://publications.europa.eu/resource/authority/file-type/atom, http://publications.europa.eu/resource/authority/file-type/jsonAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    OverheidNl
    License

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

    Description

    This table contains figures on the housing costs of private households in independent homes. Households living (temporarily) in a house free of charge are not included. The figures are presented for both owners and tenants and can be further divided into various characteristics of the household and the dwelling. Data available as of year: 2009 Status of the figures: final. Changes as of 4 April 2019: None, this table was stopped. When will new figures be published? This table is stopped. This table is stopped as a consequence of a revision of the income data in 2015. The housing costs are based on this income data. Therefore it is no longer possible to determine the housing costs for WoON 2018 in the same way as before. Consequently the housing costs for WoON 2012 and 2015 have also been revised. For WoON 2009 this however was not possible, since 2011 was the last year of the revision. Subsequently the housing costs for WoON 2012, 2015 and 2018 are included in the new table Housing costs of households; dwelling characteristics, region. See the link in paragraph 3.

  11. o

    Owner-occupiers Housing Expenditures, costs to acquire and own, 2015-2023

    • data.overheid.nl
    • cbs.nl
    • +1more
    atom, json
    Updated Sep 1, 2024
    + more versions
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    Centraal Bureau voor de Statistiek (Rijk) (2024). Owner-occupiers Housing Expenditures, costs to acquire and own, 2015-2023 [Dataset]. https://data.overheid.nl/dataset/4155-owner-occupiers-housing-expenditures--costs-to-acquire-and-own--2015-100
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    atom(KB), json(KB)Available download formats
    Dataset updated
    Sep 1, 2024
    Dataset provided by
    Centraal Bureau voor de Statistiek (Rijk)
    License

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

    Description

    This table measures the price development in the transaction price of a dwelling that was purchased for own-use and the cost of all goods and services that households purchase in their role as owner occupiers of dwellings. Acquisition costs concerns the purchase of a newly built dwelling, self-built dwelling and a former rental dwelling. Costs of possession a dwelling concerns costs of (large) maintenance and property insurance.

    Data available from: 1st quarter 2010 to 3rd quarter 2023

    Status of the figures: The figures in this table are one period provisional; the sub-series ‘Acquisition formally rented dwelling’ and ‘Structural costs: insurance’ are final directly. Since this table has been discontinued, the data is no longer finalized.

    Changes as of October 6th 2022: This statistic is calculated using a European harmonized method. The method for rounding figures has changed within the European guidelines. This method change has been implemented with the result that some figures have been adjusted by a maximum of 0.1 index point or 0.1% development. The figures therefore correspond to the figures on the eurostat website.

    Changes as of April 25th 2024: This table has been discontinued. This table is followed by Owner-occupiers Housing: Owners, cost to acquire and own, 2020=100. See paragraph 3.

  12. Monthly rent per square meter in Europe 2022-2023, by city

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Monthly rent per square meter in Europe 2022-2023, by city [Dataset]. https://www.statista.com/statistics/793690/monthly-rent-cost-residential-eur-per-square-meter-europe-by-city/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    In 2023, the most expensive residential rental market in Europe was London (inner) with rental costs of approximately **** euros per square meter. Dublin and Paris followed with rental costs of **** and **** euros per square meter. Rents increased across most markets - a trend that could also be observed in the housing market. How much does an apartment cost in different European cities? Renting a furnished studio apartment in some of the leading cities in Europe can cost anywhere between *** euros monthly (Budapest) and ***** euros (Amsterdam) per month. For afurnished one-bedroom apartment in Paris, France, one may be expected to pay on average ***** euros monthly. Which countries have the most affordable housing? The house price to rent ratio is an indicator of the affordability of owning housing over renting across European countries and is calculated as the nominal house prices divided by a rent price index. The higher the ratio, the more the gap between house prices and rental rates has widened since 2015 when the index base was 100. As of the fourth quarter of 2021, Finland, Italy, and Belgium had the lowest house price to rent ratio, meaning that buying a house was most affordable there compared to renting.

  13. Long Term Rental Apartments Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Long Term Rental Apartments Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/long-term-rental-apartments-market
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    pptx, csv, pdfAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Long Term Rental Apartments Market Outlook



    The global long-term rental apartments market size was valued at approximately $XX billion in 2023 and is projected to reach $XX billion by 2032, growing at a compound annual growth rate (CAGR) of X.X% during the forecast period. The primary growth factor driving this market includes the increasing preference for renting over buying among millennials and younger demographics, coupled with the rising urbanization and influx of a global workforce in major cities.



    One of the significant growth drivers for the long-term rental apartments market is the shifting cultural norm towards rental living. Many young professionals and millennials are prioritizing flexibility and financial liquidity over homeownership, which often comes with long-term financial commitments and maintenance responsibilities. This shift is further fueled by escalating real estate prices in urban centers, making homeownership less attainable for a significant portion of the population. Consequently, long-term rental apartments have become a preferred option for those seeking a stable, yet flexible living arrangement.



    Another contributing factor to the market growth is the increasing demand for rental properties that cater specifically to certain demographics, such as students and working professionals. Purpose-built rental communities that offer amenities tailored to these groups are becoming more prevalent. These communities often feature co-working spaces, fitness centers, and entertainment areas, appealing to the lifestyle preferences of younger tenants. Moreover, the rise of remote and hybrid work models has expanded the geographical options for working professionals, further boosting demand for varied rental properties.



    Technological advancements and digital transformation within the real estate sector also play a critical role in the market's expansion. Online platforms and mobile applications have simplified the process of finding, leasing, and managing rental apartments. Virtual tours, digital lease signing, and online payment systems enhance the convenience for both tenants and property managers. These innovations are particularly appealing to the tech-savvy younger generation, who prefer efficient and seamless digital experiences.



    Regionally, North America and Europe are currently leading the market due to high urbanization rates and a significant population of renters. However, the Asia Pacific region is expected to witness the fastest growth during the forecast period. Rapid urbanization, economic development, and an increasing influx of expatriates and students in countries like China, India, and Southeast Asian nations are contributing to the rising demand for long-term rental apartments in this region.



    Type Analysis



    The long-term rental apartments market can be broadly segmented into furnished and unfurnished apartments. Furnished apartments are those that come with essential furniture and appliances, catering to tenants who prefer a ready-to-move-in option. These types of apartments are particularly popular among expatriates, corporate employees, and students who may not want the hassle of buying or transporting furniture. The demand for furnished apartments is witnessing a steady incline, especially in metropolitan cities where convenience often trumps cost considerations.



    Unfurnished apartments, on the other hand, are bare units without any major furnishings. These are typically favored by families and long-term residents who prefer to customize their living spaces according to personal preferences. While the initial setup cost may be higher for tenants, unfurnished apartments offer a higher degree of flexibility in terms of interior design and personalization. This segment continues to hold a substantial share of the market as it appeals to a different, yet significant, tenant base.



    The key factors influencing the choice between furnished and unfurnished apartments include rental cost, lease duration, and tenant lifestyle. Furnished apartments generally command higher rental prices but attract tenants looking for short to medium-term stays. Conversely, unfurnished apartments tend to have lower rent but may require a longer lease commitment. Understanding these dynamics is crucial for property managers and investors aiming to target specific tenant segments effectively.



    Moreover, the availability of furnished versus unfurnished apartments varies significantly across regions. In North America and Europe, there is a balanced mix of both types, while in A

  14. S

    Smart Apartments Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 13, 2025
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    Market Research Forecast (2025). Smart Apartments Report [Dataset]. https://www.marketresearchforecast.com/reports/smart-apartments-32940
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 13, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The smart apartment market is experiencing robust growth, driven by increasing urbanization, rising disposable incomes, and a growing preference for technologically advanced living spaces. The integration of smart home technologies, such as Building Management Systems (BMS), HVAC control, lighting automation, and security systems, enhances energy efficiency, convenience, and safety, significantly boosting market appeal. While the exact market size for 2025 is unavailable, considering a conservative estimate based on similar technology markets and a projected CAGR (assuming a 15% CAGR, a reasonable figure given technological advancements and adoption rates), the global market size could be valued at approximately $15 billion in 2025. This figure is expected to grow considerably over the forecast period (2025-2033), driven primarily by the expansion into developing economies and increasing adoption across various residential segments, including hotels and luxury apartments. The market segmentation reveals strong demand across various technological applications within smart apartments. Building Management Systems (BMS) and HVAC controls currently hold significant market share, reflecting the focus on energy management and occupant comfort. However, the security and access control segment is poised for substantial growth due to rising concerns about safety and security. Regionally, North America and Europe currently dominate the market, with strong adoption rates in the United States, Canada, the United Kingdom, and Germany. However, rapidly developing economies in Asia-Pacific, particularly China and India, are projected to witness significant market expansion in the coming years, offering lucrative growth opportunities for smart apartment technology providers. Restraints on market growth include high initial investment costs associated with smart apartment technology, cybersecurity concerns, and the potential for technical glitches and maintenance challenges. However, these challenges are being actively addressed by technology improvements and the emergence of user-friendly, cost-effective solutions.

  15. e

    Average transaction prices for apartments before administrative territorial...

    • data.europa.eu
    csv, json
    + more versions
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    Valsts zemes dienests, Average transaction prices for apartments before administrative territorial reform [Dataset]. https://data.europa.eu/data/datasets/5959cc1b-d973-400a-8075-10051644209a/embed
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    json(4955), csv(1009), json(3992), csv(1055), json(3296), csv(1342), csv(2039), json(3820)Available download formats
    Dataset authored and provided by
    Valsts zemes dienests
    Description

    Pursuant to Article 70 of the Law on the State Real Estate Cadastre, the State Land Service accumulates and analyses the market prices of the real estate. Information on real estate purchase transactions is regularly received from Land Registers and is collected in the real estate market database maintained by the Cadastre Information System.

    On 1 March 2021, around 955 000 transactions were registered in the real estate market database.

    Data on transactions with residential space groups registered in the Cadastre Information System in the composition of apartment properties are collected in the files.

    _ Taking into account price differences in the real estate market for multi-apartment buildings built after 2000, separate apartment transactions_:

    1) in buildings built before 2000;

    2) Buildings built after 2000 or new project houses.

    Average transaction prices are presented by different groups of territories:

    1) Apartments in buildings built before 2000 — in Riga, Jurmala, other cities of the Republic, towns of Pieriga impact region, cities of regional significance and small towns;

    2) New project apartments in Riga, Jurmala and Pierīga districts.

    Data available from 2011

  16. European Union EE: HICP: Weights: Housing, Water, Electricity, Gas & Other...

    • ceicdata.com
    • dr.ceicdata.com
    + more versions
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    CEICdata.com, European Union EE: HICP: Weights: Housing, Water, Electricity, Gas & Other Fuels [Dataset]. https://www.ceicdata.com/en/european-union/harmonized-index-of-consumer-price-weights/ee-hicp-weights-housing-water-electricity-gas--other-fuels
    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, 2007 - Dec 1, 2018
    Area covered
    European Union
    Variables measured
    Harmonised Consumer Prices
    Description

    EU EE: HICP: Weights: Housing, Water, Electricity, Gas & Other Fuels data was reported at 117.530 Per 1000 in 2018. This records a decrease from the previous number of 122.200 Per 1000 for 2017. EU EE: HICP: Weights: Housing, Water, Electricity, Gas & Other Fuels data is updated yearly, averaging 147.300 Per 1000 from Dec 1996 (Median) to 2018, with 23 observations. The data reached an all-time high of 233.560 Per 1000 in 2000 and a record low of 117.040 Per 1000 in 2016. EU EE: HICP: Weights: Housing, Water, Electricity, Gas & Other Fuels data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s Estonia – Table EE.Eurostat: Harmonized Index of Consumer Price: Weights.

  17. T

    HOUSING INDEX by Country in EUROPE/1000

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jan 14, 2024
    + more versions
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    TRADING ECONOMICS (2024). HOUSING INDEX by Country in EUROPE/1000 [Dataset]. https://tradingeconomics.com/country-list/housing-index?continent=europe/1000
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jan 14, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    Europe
    Description

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

  18. C

    Housing costs of rental properties, 1998-2000

    • ckan.mobidatalab.eu
    Updated Jul 12, 2023
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    OverheidNl (2023). Housing costs of rental properties, 1998-2000 [Dataset]. https://ckan.mobidatalab.eu/dataset/2210-housing-expenses-of-rental-homes-1998-2000
    Explore at:
    http://publications.europa.eu/resource/authority/file-type/json, http://publications.europa.eu/resource/authority/file-type/atomAvailable download formats
    Dataset updated
    Jul 12, 2023
    Dataset provided by
    OverheidNl
    License

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

    Description

    The data on housing costs of tenants of rented homes come from the Housing Needs Survey (WBO). In the WBO, Statistics Netherlands examines the current, previous and desired housing situation of households and individuals. The WBO is carried out on behalf of the Ministry of Housing, Spatial Planning and the Environment (VROM), which uses the data for the preparation and evaluation of public housing policy. Data available from: 1998 Frequency: discontinued Status of the figures Final.

  19. c

    Global Landlord Insurance Market Report 2025 Edition, Market Size, Share,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Mar 24, 2025
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    Cognitive Market Research (2025). Global Landlord Insurance Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/landlord-insurance-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

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

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    As per Cognitive Market Research's latest published report,The Europe Landlord Insurance market size will be $27,770.62 Million by 2028.The Europe Landlord Insurance Industry's Compound Annual Growth Rate will be 7.94% from 2023 to 2030. What is Driving Landlord Insurance Industry Growth?

    Rising demand of rental properties
    

    It is said that the best investment is a land investment. Population across the globe follows these proverbs and invest their saving in buying homes. The housing process in European countries were observed at its peak which were derived by the large investors. The institutional investors including private equity and pension funds has raise the houses prices in the European countries. The volume of purchases in Europe hit €64bn (£53bn) in 2020, with about €150bn value of housing stock conservatively estimated to be in the hands of such large investors. According to Preqin private database of investors, Berlin, with €40bn worth of housing assets in institutional portfolios is at top followed by London, Amsterdam, Paris and Vienna.

    The data from Berlin’s Free University states that the Europe’s housing has become increasingly attractive asset class for investors owing to near-zero interest rates and cheering regulatory outlines. The data from European central bank shows that the real estate funds in the Eurozone reached €1tn in 2021 in which residential assets are consider as progressively central part. The institutional investors’ residential transactions between 2012 and 2021 was increased in Germany, Denmark followed by Netherlands.

    Significant occupancy of residential and commercial properties by institutional investors led to the undersupply of housing across the continent and results in the increasing rental rates. Owing to the chronic undersupply of housing in several European countries, the population of the tenants increases which simultaneously increases the demand of rental properties in Europe. Moreover, the capability of population to purchase house is also decreasing with the increasing annual house prices. The data shows a surge in rents by 16.0 % and house prices by 38.7 % from 2010 to third quarter of 2021 in Europe. The rent and houses price in Europe has increased by 1.2 % and 9.2 % respectively from third quarter of 2021 to third quarter of 2020.

    Landlord insurance is applicable to rental properties only. Hence, with the increasing demand of rental properties in Europe is driving the growth of landlord insurance market.

    Increase in natural disasters is propelling market growth
    

    Restraint of the Europe Landlord Insurance Market

    Inadequate information related to landlord insurance policies.(Access Detailed Analysis in the Full Report Version)
    

    Opportunities of the Europe Landlord Insurance Market

    Introduction of new technologies in insurance industry.(Access Detailed Analysis in the Full Report Version)
    

    What is Landlord Insurance?

    Landlord Insurance is a sort of homeowner's insurance that protects homeowners against financial losses associated with rental properties. This insurance includes coverage for fire and other dangers, as well as theft and intentional damage.

    Several European nations are quickly implementing landlord insurance for their buildings. Property and liability protection are two forms of coverage that are commonly included in insurance policies. Both insurance policies are designed to protect both the landlord and the renters from financial losses.

    Damage to property, income replacement, liability insurance, and add-on coverage are all covered by landlord insurance. It assists clients in protecting themselves from financial losses caused by natural catastrophes, injuries, accidents, and other liability concerns.

    It also provides payment for lost rent, repairs, and property replacement that are covered by landlord insurance.

    Landlord liability insurance, landlord buildings insurance, landlord contents insurance, loss of rent insurance, tenant default insurance, accidental damage insurance, alternative accommodation insurance, unoccupied property insurance, and legal expenses insurance are among the various types of landlord insurance.

    In Europe, several online and offline landlord insurance businesses offer solutions for both residential and commercial properties. This landlord insurance migh...

  20. J

    Data from: Regional Supply and Demand Fundamentals in the German Housing...

    • journaldata.zbw.eu
    zip
    Updated Dec 13, 2023
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    Lars Brausewetter; Stephan L. Thomsen; Johannes Trunzer; Lars Brausewetter; Stephan L. Thomsen; Johannes Trunzer (2023). Regional Supply and Demand Fundamentals in the German Housing Price Boom [Dataset]. http://doi.org/10.15456/ger.2023331.1257717527
    Explore at:
    zip(12165785)Available download formats
    Dataset updated
    Dec 13, 2023
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Lars Brausewetter; Stephan L. Thomsen; Johannes Trunzer; Lars Brausewetter; Stephan L. Thomsen; Johannes Trunzer
    License

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

    Description

    Over the last decade, German housing prices have increased unprecedentedly. Drawing on quality-adjusted housing price data at the district level, we show that regional fundamentals explain up to two-thirds of between-region and 77 to 87 percent of within-region variation in price growth. Price increases were driven mainly by co-movements in local demand fundamentals, notably population density and skill level. However, we further reveal systematic variation unrelated to fundamentals: overvaluation of top 7 cities, path dependency, and spatial spillovers. We infer that speculation, investor preference for liquid markets, and bounded rationality contributed substantially to the recent housing price boom in Germany.

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Statista (2025). Average price per square meter of an apartment in Europe 2025, by city [Dataset]. https://www.statista.com/statistics/1052000/cost-of-apartments-in-europe-by-city/
Organization logo

Average price per square meter of an apartment in Europe 2025, by city

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 25, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Europe
Description

Geneva stands out as Europe's most expensive city for apartment purchases in early 2025, with prices reaching a staggering 15,720 euros per square meter. This Swiss city's real estate market dwarfs even high-cost locations like Zurich and London, highlighting the extreme disparities in housing affordability across the continent. The stark contrast between Geneva and more affordable cities like Nantes, France, where the price was 3,700 euros per square meter, underscores the complex factors influencing urban property markets in Europe. Rental market dynamics and affordability challenges While purchase prices vary widely, rental markets across Europe also show significant differences. London maintained its position as the continent's priciest city for apartment rentals in 2023, with the average monthly costs for a rental apartment amounting to 36.1 euros per square meter. This figure is double the rent in Lisbon, Portugal or Madrid, Spain, and substantially higher than in other major capitals like Paris and Berlin. The disparity in rental costs reflects broader economic trends, housing policies, and the intricate balance of supply and demand in urban centers. Economic factors influencing housing costs The European housing market is influenced by various economic factors, including inflation and energy costs. As of April 2025, the European Union's inflation rate stood at 2.4 percent, with significant variations among member states. Romania experienced the highest inflation at 4.9 percent, while France and Cyprus maintained lower rates. These economic pressures, coupled with rising energy costs, contribute to the overall cost of living and housing affordability across Europe. The volatility in electricity prices, particularly in countries like Italy where rates are projected to reach 153.83 euros per megawatt hour by February 2025, further impacts housing-related expenses for both homeowners and renters.

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