21 datasets found
  1. Average sales price of houses in Germany 2012-2024, by city

    • statista.com
    Updated Jun 16, 2025
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    Statista (2025). Average sales price of houses in Germany 2012-2024, by city [Dataset]. https://www.statista.com/statistics/1267270/average-price-of-houses-in-germany-by-city/
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    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The average price of detached and duplex houses in the biggest cities in Germany varied between approximately ***** euros and 10,000 euros per square meter in 2024. Housing was most expensive in Munich, where the square meter price of houses amounted to ***** euros. Conversely, Berlin was most affordable, with the square meter price at ***** euros. How have German house prices evolved? House prices maintained an upward trend for more than a decade, with 2020 and 2021 experiencing exceptionally high growth rates. In 2021, the nominal year-on-year change exceeded 10 percent. Nevertheless, the second half of 2022 saw the market slowing, with the annual percentage change turning negative for the first time in 12 years. Another way to examine the price growth is through the house price index, which uses 2015 as a base. At its peak in 2022, the German house price index measured about *** percent, which means that a house bought in 2015 would have appreciated by ** percent. Is housing affordable in Germany? Housing affordability depends greatly on income: High-income areas often tend to have more expensive housing, which does not necessarily make them unaffordable. The house price to income index measures the development of the cost of housing relative to income. In the first quarter of 2024, the index value stood at ***, meaning that since 2015, house price growth has outpaced income growth by about ** percent. Compared with the average for the euro area, this value was lower.

  2. T

    Germany House Price Index

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Germany House Price Index [Dataset]. https://tradingeconomics.com/germany/housing-index
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jun 15, 2025
    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
    Aug 31, 2005 - Jun 30, 2025
    Area covered
    Germany
    Description

    Housing Index in Germany decreased to 218.19 points in June from 218.58 points in May of 2025. This dataset provides the latest reported value for - Germany House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  3. House price index in Germany 2016-2024, by quarter

    • statista.com
    • ai-chatbox.pro
    Updated Mar 5, 2025
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    Statista (2025). House price index in Germany 2016-2024, by quarter [Dataset]. https://www.statista.com/statistics/329715/house-price-index-in-germany/
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    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The house price index in Germany increased steadily from 2016 to 2022, followed by a decline until the first quarter of 2024. The index amounted to 100 in 2015 and, at its peak in the second quarter of 2022, exceeded 166 index points, meaning that house prices had risen by 66 percent during that period. Among the leading residential real estate markets in Germany, Munich had the highest square meter price for apartments.

  4. F

    Housing Inventory: Median Listing Price per Square Feet Month-Over-Month in...

    • fred.stlouisfed.org
    json
    Updated Jan 6, 2022
    + more versions
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    (2022). Housing Inventory: Median Listing Price per Square Feet Month-Over-Month in Berlin, NH-VT (CBSA) [Dataset]. https://fred.stlouisfed.org/series/MEDLISPRIPERSQUFEEMM13620
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    jsonAvailable download formats
    Dataset updated
    Jan 6, 2022
    License

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

    Area covered
    Vermont, New Hampshire, Berlin
    Description

    Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet Month-Over-Month in Berlin, NH-VT (CBSA) (MEDLISPRIPERSQUFEEMM13620) from Jul 2017 to Dec 2021 about Berlin, square feet, VT, NH, listing, median, price, and USA.

  5. G

    Germany Condominiums and Apartments Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Data Insights Market (2025). Germany Condominiums and Apartments Market Report [Dataset]. https://www.datainsightsmarket.com/reports/germany-condominiums-and-apartments-market-17430
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    ppt, doc, pdfAvailable 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
    Germany
    Variables measured
    Market Size
    Description

    The German condominiums and apartments market is experiencing robust growth, exhibiting a Compound Annual Growth Rate (CAGR) exceeding 7.80% from 2019 to 2024. This expansion is fueled by several key drivers. A burgeoning urban population, particularly in major cities like Berlin, Munich, and Hamburg, is increasing demand for housing. Furthermore, favorable government policies aimed at stimulating housing construction and improving affordability, coupled with low interest rates in recent years (although this may be subject to change), have created a positive investment environment. Strong economic performance in Germany prior to recent global economic uncertainty also contributed to heightened consumer confidence and increased purchasing power, further boosting market activity. While rising construction costs and material shortages present challenges, innovative construction techniques and sustainable building practices are emerging trends mitigating these constraints to some degree. The market is segmented by various factors including location (urban vs. rural), apartment size and type (studio, one-bedroom, etc.), and price range. Analysis of production, consumption, import and export data reveals a dynamic market landscape with significant activity across all segments. Leading players such as Vivawest GmbH, Koster GmbH, and Hochtief Solutions AG are shaping the market through their developments and investments, underscoring the competitiveness and growth potential of this sector. The forecast period of 2025-2033 anticipates continued growth, though potentially at a slightly moderated pace compared to the preceding period, reflecting potential economic shifts and global factors. The market will likely see increased focus on energy-efficient and sustainable buildings, driven by both environmental concerns and government regulations. Competition among developers will remain fierce, with companies focusing on differentiation through innovative designs, prime locations, and advanced building technologies. The regional distribution of growth will likely see continued concentration in major urban areas, while smaller towns and rural areas may experience more moderate expansion, reflecting population distribution trends. Further analysis of the import/export data will provide deeper insights into the role of international trade in influencing supply and demand dynamics. Recent developments include: November 2022: NREP has made its first real estate investment in Germany as part of its strategy to grow throughout Northern Europe. By entering the Polish market in 2021, NREP expanded its reach outside of the Nordic region. Later, through the acquisition of German real estate credit expert Flins Capital Partners, the EUR 18 billion (USD 19.21 Billion) asset management grew both vertically and regionally. NREP announced that it partnered with developer Artisa Group to create 5,000 co-living flats by 2025., September 2022: In Düsseldorf's Stresemannstraße, lime home plans to debut 70 units in the fourth quarter of 2022. In order for the lime home to eventually administer all five levels of the building, IMAXXAM purchased the property. The alliance is founded on an ongoing, fruitful engagement on a project in Munich.. Key drivers for this market are: 4., Aging Population4.; Increased Longevity. Potential restraints include: 4., Inadequate Staffing. Notable trends are: Freehold apartments: Consistent demand maintains steady prices.

  6. Average residential real estate square meter prices in Europe 2023, by...

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Average residential real estate square meter prices in Europe 2023, by country [Dataset]. https://www.statista.com/statistics/722905/average-residential-square-meter-prices-in-eu-28-per-country/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Europe
    Description

    The average transaction price of new housing in Europe was the highest in Norway, whereas existing homes were the most expensive in Austria. Since there is no central body that collects and tracks transaction activity or house prices across the whole continent or the European Union, not all countries are included. To compile the ranking, the source weighed the transaction prices of residential properties in the most important cities in each country based on data from their national offices. For example, in Germany, the cities included were Munich, Hamburg, Frankfurt, and Berlin. House prices have been soaring, with Sweden topping the ranking Considering the RHPI of houses in Europe (the price index in real terms, which measures price changes of single-family properties adjusted for the impact of inflation), however, the picture changes. Sweden, Luxembourg and Norway top this ranking, meaning residential property prices have surged the most in these countries. Real values were calculated using the so-called Personal Consumption Expenditure Deflator (PCE), This PCE uses both consumer prices as well as consumer expenditures, like medical and health care expenses paid by employers. It is meant to show how expensive housing is compared to the way of living in a country. Home ownership highest in Eastern Europe The home ownership rate in Europe varied from country to country. In 2020, roughly half of all homes in Germany were owner-occupied whereas home ownership was at nearly ** percent in Romania or around ** percent in Slovakia and Lithuania. These numbers were considerably higher than in France or Italy, where homeowners made up ** percent and ** percent of their respective populations.For more information on the topic of property in Europe, visit the following pages as a starting point for your research: real estate investments in Europe and residential real estate in Europe.

  7. e

    Wahl zum Abgeordnetenhaus in Berlin 2021 Election for the House of...

    • b2find.eudat.eu
    Updated Jul 24, 2025
    + more versions
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    (2025). Wahl zum Abgeordnetenhaus in Berlin 2021 Election for the House of Representatives in Berlin 2021 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/469e0574-22e8-5afc-b6fd-85b2b9ce58fe
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    Dataset updated
    Jul 24, 2025
    Area covered
    Berlin
    Description

    Die Studie zur Wahl zum Abgeordnetenhaus in Berlin 2021 wurde von der Forschungsgruppe Wahlen durchgeführt. Im Erhebungszeitraum 20.09.2021 bis 24.09.2021 wurden 1504 Wahlberechtige in Berlin in telefonischen Interviews (CATI) zu folgenden Themen befragt: Politisches Meinungsbild: Parteien. Spitzenkandidaten. Probleme und Kompetenzen. Wahlentscheidung im Kontext von Kandidatenpräferenz und Parteikompetenz. Die Auswahl der Befragten erfolgte durch eine mehrstufige Zufallsstichprobe. Wichtigste politische Probleme in Berlin; Wahlbeteiligungsabsicht bei der Wahl zum Abgeordnetenhaus in Berlin; Präferenz für Briefwahl; Parteipräferenz (Erststimme, Zweitstimme); Sicherheit der eigenen Wahlentscheidung; Wichtigkeit der Bundespolitik für die eigene Wahlentscheidung bei der Wahl zum Abgeordnetenhaus in Berlin; Interesse an der Wahl zum Abgeordnetenhaus; Wahlverhalten bei der letzten Wahl zum Abgeordnetenhaus in Berlin; Koalitionspräferenz; Einstellung zu verschiedenen Koalitionskonstellationen: Senat aus SPD, Grünen und Linke unter Führung der SPD, Senat aus SPD und Grünen unter Führung der SPD, aus Grünen und SPD unter Führung der Grünen, aus SPD und CDU unter Führung der SPD, Split A: Senat aus SPD, Grünen und FDP unter Führung der SPD, aus SPD, CDU und FDP unter Führung der SPD, aus Grünen, SPD und Linke unter Führung der Grünen, aus Grünen, SPD und FDP unter Führung der Grünen sowie Senat aus Grünen, CDU und FDP unter Führung der Grünen (Ende Split A); Sympathie-Skalometer für ausgewählte Parteien auf Bundes- und Landesebene (SPD, CDU, Grüne, Linke, AfD und FDP); Zufriedenheits-Skalometer zu den Leistungen des Senats aus SPD, Grünen und Linke, den jeweiligen Leistungen von SPD, Grünen und Linken im Senat, zu den Leistungen der CDU, der AfD und der FDP in der Opposition im Abgeordnetenhaus; Sympathie-Skalometer für ausgewählte führende Politiker auf Landesebene (Franziska Giffey, Bettina Jarasch, Klaus Lederer und Kai Wegner); Parteisympathie; Politikinteresse; Präferenz für Franziska Giffey, Kai Wegner oder Bettina Jarasch als Regierende Bürgermeisterin bzw. als Regierenden Bürgermeister in Berlin; Vergleich der Glaubwürdigkeit, der Sympathie, des Sachverstands und der Tatkraft von Franziska Giffey, Kai Wegner und Bettina Jarasch; Beurteilung der derzeitigen wirtschaftlichen Lage in Berlin und der eigenen wirtschaftlichen Lage; Split A: kompetenteste Partei zur Lösung der wirtschaftlichen Probleme im Land und auf dem Wohnungsmarkt sowie im Hinblick auf soziale Gerechtigkeit (Ende Split A); kompetenteste Partei in der Klimapolitik und in der Coronapolitik; kompetenteste Partei beim Thema Flüchtlinge und Asyl (Split A); Split B: kompetenteste Partei in der Schul- und Bildungspolitik und zur Lösung der Probleme auf dem Wohnungsmarkt (Ende Split B); kompetenteste Partei in der Verkehrspolitik und bei der Arbeitsplatzbeschaffung; Kriminalitätsfurcht; kompetenteste Partei zur Kriminalitätsbekämpfung (Split B); Zukunftsfähigkeit des Landes und kompetenteste Partei zur Lösung der zukünftigen Probleme im Land Berlin; Zustimmung zu Aussagen zu verschiedenen Themen in Berlin: Die Politik der CDU passt nicht zu einer Stadt wie Berlin, zu viel Streit im Berliner Senat hat verhindert, dass das Land Berlin vorankommt, die AfD ist die einzige Partei, die die wichtigen Probleme beim Namen nennt; Meinung zum Engagement des Senats aus SPD, Grünen und Linke zur Eindämmung des Autoverkehrs in Berlin; Enteignung großer Wohnungsgesellschaften als geeignetes Mittel zur Lösung der Probleme auf dem Berliner Wohnungsmarkt (Split B); Bewertung der Situation auf dem Berliner Wohnungsmarkt durch die Politik des Senats aus SPD, Grünen und Linke (Split A); Zufriedenheit mit der Corona-Politik des Senats im Land Berlin; Einfluss der Aberkennung des Doktortitels nach Plagiatsvorwürfen gegen SPD-Spitzenkandidatin Franziska Giffey auf die eigene Wahlentscheidung; Überwiegen von Unterschieden oder Gemeinsamkeiten im Osten und Westen Berlins; gerechter Anteil am Lebensstandard. Demographie: Alter (klassiert); Geschlecht; Bildung: Schulabschluss bzw. angestrebter Schulabschluss; Hochschulabschluss; Berufstätigkeit; Sicherheit des Arbeitsplatzes; berufliche Position; Leitungsfunktion; Beschäftigung im öffentlichen Dienst; Haushaltsgröße; Anzahl der Personen im Haushalt ab 18 Jahren; Gewerkschaftsmitglied im Haushalt; Konfession; Parteineigung; Parteiidentifikation; Wohnbezirk nach der Zusammenlegung; Wohnbezirk (Ost, West); Wahlberechtigung bei der Wahl zum Abgeordnetenhaus in Berlin. Zusätzlich verkodet wurde: ID; Gewichtungsfaktor. The study on the election for the House of Representatives in Berlin 2021 was conducted by the Forschungsgruppe Wahlen. During the survey period 20.09.2021 to 24.09.2021, 1504 eligible voters in Berlin were interviewed by telephone (CATI) on the following topics: Political opinion: Parties. Top candidates. Problems and competences. Electoral decision in the context of candidate preference and party competence. The respondents were selected by a multi-stage random sample. Most important political problems in Berlin; intention to vote in the election to the House of Representatives in Berlin; preference for postal voting; party preference (first vote, second vote); certainty of one´s own voting decision; importance of federal politics for one´s own voting decision in the election to the House of Representatives in Berlin; interest in the election to the House of Representatives; voting behaviour in the last election to the House of Representatives in Berlin; coalition preference; attitude towards different coalition constellations: Senate of SPD, Greens and Left led by SPD, Senate of SPD and Greens led by SPD, of Greens and SPD led by Greens, of SPD and CDU led by SPD, Split A: Senate of SPD, Greens and FDP led by SPD, of SPD, CDU and FDP led by SPD, of Greens, SPD and Left led by Greens, of Greens, SPD and FDP led by Greens, and Senate of Greens, CDU and FDP led by Greens (end of split A); sympathy scalometer for selected parties at federal and state level (SPD, CDU, Greens, Left, AfD and FDP); Satisfaction scalometer on the performance of the Senate consisting of the SPD, the Greens and the Left, the respective performance of the SPD, the Greens and the Left in the Senate, on the performance of the CDU, the AfD and the FDP in opposition in the House of Representatives; Sympathy scalometer for selected leading politicians at the state level (Franziska Giffey, Bettina Jarasch, Klaus Lederer and Kai Wegner); party sympathy; interest in politics; preference for Franziska Giffey, Kai Wegner or Bettina Jarasch as governing mayor in Berlin; comparison of credibility, sympathy, expertise and drive of Franziska Giffey, Kai Wegner and Bettina Jarasch; assessment of current economic situation in Berlin and own economic situation; Split A: most competent party to solve economic problems in the country and on the housing market as well as with regard to social justice (end of Split A); most competent party in climate policy and corona policy; most competent party on the issue of refugees and asylum (Split A); Split B: Most competent party on school and education policy and on solving problems in the housing market (end of Split B); most competent party on transport policy and on job creation; fear of crime; most competent party on fighting crime (Split B); future viability of the state and most competent party on solving future problems in the state of Berlin; agreement with statements on various issues in Berlin: CDU policies do not suit a city like Berlin, too much bickering in the Berlin Senate has prevented the state of Berlin from moving forward, AfD is the only party that calls the important problems by their names; opinion on the commitment of the Senate of SPD, Greens and Left to curbing car traffic in Berlin; expropriation of large housing companies as a suitable means of solving the problems on the Berlin housing market (Split B); Assessment of the situation on Berlin´s housing market by the policies of the Senate consisting of the SPD, the Greens and the Left (Split A); satisfaction with the Senate´s Corona policy in the state of Berlin; influence of the revocation of the doctorate after plagiarism allegations against SPD top candidate Franziska Giffey on one´s own election decision; predominance of differences or commonalities in East and West Berlin; fair share of the standard of living. Demography: age (classified); sex; education: school-leaving certificate or intended school-leaving certificate; university degree; occupation; job security; professional position; managerial function; employment in public service; household size; number of persons in household aged 18 and over; trade union member in household; religious denomination; party affiliation; party identification; district of residence after amalgamation; district of residence (East, West); eligibility to vote in elections for the House of Representatives in Berlin. Additionally coded were: ID; weighting factor.

  8. C

    Standard land values ​​01.01.2021

    • ckan.mobidatalab.eu
    pdf, wfs
    Updated Aug 28, 2023
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    Geodata Infrastructure Berlin (2023). Standard land values ​​01.01.2021 [Dataset]. https://ckan.mobidatalab.eu/dataset/groundvalues-01-01-20211
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    wfs, pdfAvailable download formats
    Dataset updated
    Aug 28, 2023
    Dataset provided by
    Geodata Infrastructure Berlin
    Description

    Factual data on the standard land values ​​determined by the expert committee for property values ​​in Berlin on January 1st, 2021. The factual data contain the results of the consultations on the standard land values ​​and serve as tabular information.

  9. c

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

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, Global Landlord Insurance Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/landlord-insurance-market-report
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    pdf,excel,csv,pptAvailable download formats
    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...

  10. Average residential rent in Germany 2012-2024, by city

    • statista.com
    • ai-chatbox.pro
    Updated Jun 16, 2025
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    Statista (2025). Average residential rent in Germany 2012-2024, by city [Dataset]. https://www.statista.com/statistics/801560/average-rent-price-of-residential-property-in-germany-by-city/
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    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    Rents in Germany continued to increase in all seven major cities in 2024. The average rent per square meter in Munich was approximately **** euros — the highest in the country. Conversely, Düsseldorf had the most affordable rent, at approximately **** euros per square meter. But how does renting compare to buying? According to the house price to rent ratio, house prices in Germany have risen faster than rents, making renting more affordable than buying. Affordability of housing in Germany In 2023, Germany was among the European countries with a relatively high house price to income ratio in Europe. The indicator compares the affordability of housing across OECD countries and is calculated as the nominal house prices divided by nominal disposable income per head, with 2015 chosen as a base year. Between 2012 and 2022, property prices in the country rose much faster than income, with the house price to income index peaking at *** index points at the beginning of 2022. Slower house price growth in the following years has led to the index declining, as incomes catch up. Nevertheless, homebuyers in 2024 faced significantly higher mortgage interest rates, contributing to a higher final cost. How much does buying a property in Germany cost? Just as with renting, Munich was the most expensive city for newly built apartments. In 2024, the cost per square meter in Munich was almost ***** euros pricier than in the runner-up city, Frankfurt. Detached and semi-detached houses are usually more expensive. The price gap between Munich and the second most expensive city, Stuttgart, was nearly ***** euros per square meter.

  11. House price index in Germany 2000-2023

    • statista.com
    Updated Mar 28, 2024
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    Statista (2024). House price index in Germany 2000-2023 [Dataset]. https://www.statista.com/statistics/1391672/house-price-index-germany/
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    Dataset updated
    Mar 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    In 2023, the German house price index was almost 149.2 percent, based on preliminary figures. This was an increase of around 49 percent compared to the index year of 2015.

  12. Net office prime yield in Berlin, Germany 2013-2023

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Net office prime yield in Berlin, Germany 2013-2023 [Dataset]. https://www.statista.com/statistics/532534/net-office-prime-yield-berlin-germany-europe/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The net office prime yield in Berlin, Germany, expanded for the second year in a row in 2023. Between 2013 and 2021, yields fell year-on-year, reaching the record-low *** percent. In 2023, the prime yield stood at **** percent. The net prime yield refers to the ratio of net income to purchase price of a property of highest specification, the best location, and standard size commensurate with local demand. Across the major European markets, the lowest yields were found in Geneva, Zurich, and Paris.

  13. Transaction price for the purchase of new housing units in German cities...

    • statista.com
    • ai-chatbox.pro
    Updated Jul 9, 2025
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    Statista (2025). Transaction price for the purchase of new housing units in German cities 2016-2023 [Dataset]. https://www.statista.com/statistics/739472/new-dwellings-transaction-price-by-city-germany-europe/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The average transaction price for the purchase of new residential properties increased in the main cities in Germany between 2016 and 2021. Afterward, prices they stabilized and slightly decreased in 2023. By 2023, Munich had the highest average transaction price for new dwellings of approximately ****** euros per square meter. Frankfurt ranked second with an average transaction price of ***** euros per square meter, followed by Hamburg and Berlin.

  14. 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.

  15. Median cost of rent of apartments in selected districts in Berlin, Germany...

    • statista.com
    Updated Jun 30, 2025
    + more versions
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    Statista (2025). Median cost of rent of apartments in selected districts in Berlin, Germany 2019-2023 [Dataset]. https://www.statista.com/statistics/800765/rent-expenditure-apartments-berlin-germany-by-district/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Berlin, Germany
    Description

    In 2023, Berlin Mitte was the most expensive district for apartment rentals, with an average asking basic rent of **** euros per square meter (excluding extra costs). The average for the city in this period was ***** euros per square meter. That was higher than the average rent in the Germany.

  16. Median rent for a furnished apartment in Europe 2025, by city

    • statista.com
    Updated Jul 22, 2025
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    Statista (2025). Median rent for a furnished 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
    Jul 22, 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 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.

  17. Vacancy rate of office real estate in Europe 2021-2024, by city

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Vacancy rate of office real estate in Europe 2021-2024, by city [Dataset]. https://www.statista.com/statistics/791978/office-vacancy-rates-europe/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    Vienna, Luxembourg, and Hamburg were the markets with the lowest vacancy rates in Europe in the fourth quarter of 2024. Vacancy rates are a measurement of unoccupied properties during a given period and are a good indication of an area’s desirability and opportunity for development. High vacancy rates can indicate an economic downturn, a lack of demand, or possibly that standards do not meet speculative renters’ needs. Low vacancy rates are, in general, considered a good thing as it means there is a good level of demand from customers, although low vacancy rates may also show a need for more development which is not being met. Since the beginning of the coronavirus (COVID-19) pandemic, vacancy rates in the office sector have been on the rise because of declining occupiers' demand. The major European office markets? London, Paris, and Stockholm were the most expensive markets for office real estate in Europe in 2023. In London, prime office space, which refers to a property of the highest quality, optimal location, and standard dimensions that are in accordance with the local demand, was able to fetch a staggering price of ***** euros per square meter. When it comes to total stock, Berlin ranked among the largest markets in Europe. Where is office space most profitable? According to 2024 forecast the UK is expected to see the most return on investment by 2025 and 2026 than Europe. Industry experts forecast that investment will have better prospects than development, and that central city offices will perform better than suburban offices.

  18. Average sales price of apartments in Germany 2012-2023, by city

    • statista.com
    • ai-chatbox.pro
    Updated Jul 11, 2025
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    Statista (2025). Average sales price of apartments in Germany 2012-2023, by city [Dataset]. https://www.statista.com/statistics/1267258/average-price-of-apartments-in-germany-by-city/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    Apartment prices in Germany declined in all major cities in 2023. The average sales price varied between approximately ***** euros and ***** euros per square meter in the ************** of the year. Apartments were most expensive in Munich, where a square meter in a residential multifamily building cost ***** in the ************** of the year. Conversely, Düsseldorf had the most affordable prices, at ***** euros per square meter. Prices for detached houses were even higher.

  19. Rental index development Germany 1995-2024

    • statista.com
    Updated Jan 20, 2025
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    Statista (2025). Rental index development Germany 1995-2024 [Dataset]. https://www.statista.com/statistics/1270341/rental-index-development-germany/
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    Dataset updated
    Jan 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    In 2024, the rental index in Germany reached 107.5 index points. The index was set to 100 in 2020, which means that compared to then, rent in Germany increased by 7.5 percent. Munich saw the highest average rent price among the larger German cities.

  20. Prime rent in the leading 7 retail locations Germany 2022-2024

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Prime rent in the leading 7 retail locations Germany 2022-2024 [Dataset]. https://www.statista.com/statistics/1393565/prime-rent-leading-retail-locations-germany/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The value for 2024 represents a forecast value. The seven top locations shown include: Berlin, Hamburg, Munich, Cologne, Frankfurt am Main, Stuttgart and Düsseldorf. In 2024, the prime rent for retail properties in the aforementioned cities averaged around ****** euros per square meter. According to the source, the prime rent represents an average of the top 3 to * percent of lettings in the market, meaning that the figure quoted does not correspond to the absolute prime rent.

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Statista (2025). Average sales price of houses in Germany 2012-2024, by city [Dataset]. https://www.statista.com/statistics/1267270/average-price-of-houses-in-germany-by-city/
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Average sales price of houses in Germany 2012-2024, by city

Explore at:
Dataset updated
Jun 16, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Germany
Description

The average price of detached and duplex houses in the biggest cities in Germany varied between approximately ***** euros and 10,000 euros per square meter in 2024. Housing was most expensive in Munich, where the square meter price of houses amounted to ***** euros. Conversely, Berlin was most affordable, with the square meter price at ***** euros. How have German house prices evolved? House prices maintained an upward trend for more than a decade, with 2020 and 2021 experiencing exceptionally high growth rates. In 2021, the nominal year-on-year change exceeded 10 percent. Nevertheless, the second half of 2022 saw the market slowing, with the annual percentage change turning negative for the first time in 12 years. Another way to examine the price growth is through the house price index, which uses 2015 as a base. At its peak in 2022, the German house price index measured about *** percent, which means that a house bought in 2015 would have appreciated by ** percent. Is housing affordable in Germany? Housing affordability depends greatly on income: High-income areas often tend to have more expensive housing, which does not necessarily make them unaffordable. The house price to income index measures the development of the cost of housing relative to income. In the first quarter of 2024, the index value stood at ***, meaning that since 2015, house price growth has outpaced income growth by about ** percent. Compared with the average for the euro area, this value was lower.

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