The house price index in Germany increased steadily from 2015 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 167 index points, meaning that house prices had risen by 67 percent during that period. Among the leading residential real estate markets in Germany, Munich had the highest square meter price for apartments.

Housing Index in Germany increased to 220.43 points in October from 219.91 points in September 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.

Prices in Berlin, Germany, increased for both newly built and existing houses in 2023. In the fourth quarter of 2023, newly built houses sold for **** percent higher than in the same period in 2022. Conversely, prices for existing apartments declined by *** percent. In Germany's top five markets, newly built houses experienced the highest price growth.

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.

United States Median Home Sale Price: sa: All Residential: Berlin, NH data was reported at 121.000 USD th in Jul 2020. This records a decrease from the previous number of 141.000 USD th for Jun 2020. United States Median Home Sale Price: sa: All Residential: Berlin, NH data is updated monthly, averaging 94.000 USD th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 144.000 USD th in Dec 2016 and a record low of 41.000 USD th in Feb 2016. United States Median Home Sale Price: sa: All Residential: Berlin, NH data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB057: Median Home Sale Price: by Metropolitan Areas: Seasonally Adjusted.

The nominal price of residential properties in Germany in the second quarter of 2025 showed an increase of **** percent. This marks a recovery from previous declines, as the annual house price growth had turned negative in the earlier quarters of 2023, where house prices fell by over ** percent. Adjusted for inflation, the increase was noted at **** percent in the second quarter of 2025. This trend could be observed across the major German cities.

Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet in Berlin, NH-VT (CBSA) (MEDLISPRIPERSQUFEE13620) from Jul 2016 to Dec 2024 about Berlin, VT, NH, square feet, listing, median, price, and USA.

In Germany, apartments were most expensive in Munich, with the average square meter price as high as ***** euros. In Cologne, on the other hand, the average square meter price was about ***** euros. According to the house price index in Germany, house prices in the country have seen an increase since the beginning of 2024, after declining from a peak in 2022.

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.

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.

The house price to income ratio in Germany stood at ***** points in the second quarter of 2025. This is higher than the observation from the second quarter one year earlier, when the ratio had been ***** points.

United States Median Home Sale Price: Single Family: Berlin, NH data was reported at 124.000 USD th in Jul 2020. This records a decrease from the previous number of 160.000 USD th for Jun 2020. United States Median Home Sale Price: Single Family: Berlin, NH data is updated monthly, averaging 100.000 USD th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 160.000 USD th in Jun 2020 and a record low of 41.000 USD th in Feb 2016. United States Median Home Sale Price: Single Family: Berlin, NH data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB056: Median Home Sale Price: by Metropolitan Areas.

United States Median Home Sale Price: Townhouse: Berlin, NH data was reported at 350.000 USD th in Jul 2020. This records a decrease from the previous number of 632.000 USD th for May 2020. United States Median Home Sale Price: Townhouse: Berlin, NH data is updated monthly, averaging 373.000 USD th from May 2012 (Median) to Jul 2020, with 69 observations. The data reached an all-time high of 950.000 USD th in Aug 2015 and a record low of 120.000 USD th in Apr 2018. United States Median Home Sale Price: Townhouse: Berlin, NH data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB056: Median Home Sale Price: by Metropolitan Areas.

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.

Berlin Airbnb Ratings and Reviews Overview

Quality Ratings of Properties and Experiences for Guests

By Andy Kriebel [source]

About this dataset

This dataset contains information about more than 18,000 Airbnb listings in Berlin, covering ratings and reviews from guests. It includes data on listing URL, host name and URL, listing name and type, country code, location coordinates and exact address location details along with the amenities offered. Guests' comments are also recorded for each property. Detailed metric ratings are available for each individual property's overall score as well as its accuracy rating, cleanliness rating checkout process rating communication with host rating and value for money rating. In addition to the ratings provided by guests a lot of other relevant information like price per night number of bedrooms number of bathrooms square feet can be accessed through this dataset It also offers an indication of whether a given property is bookable without contacting the host (Instant Bookable) or if the Host is Superhost etc. This comprehensive dataset allows you to explore what factors make certain Airbnb properties in Berlin highly rated by guests!

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How to use the dataset

This dataset provides an overview of ratings and reviews for Airbnb properties in Berlin, Germany. The data provided includes a range of metrics including review date, reviewer name, comments made by the reviewer, listing URL, listing name, host URL and host name, the date the host joined Airbnb and the response time to inquiries made by users. It also includes information on whether a property is listed as a Superhost property or not; neighbourhood and neighbourhood group; city; postal code; country code; latitude & longitude coordinates for each location; exactness of location details (if provided); room type(s) offered at each property; number of guests that can be accommodated; number of bathrooms & bedrooms available at each property (if known); number of beds (and size in square feet if known); price per night for rental rate at this particular Airbnb location;;number of reviews from previous guests;; first & last review received to-date;;overall rating on delivery expectations per guest experience;; accuracy rating given based off description ;;cleanliness rating given based on condition/cleaning experienced during stay ; check-in rating given based off ease/efficiency experienced regrading key collection or alternative access method specified by hosts prior to arrival point-in time;;communication ratings bestowed by guests with regard to pre-arrival communication systems.

For forward planners , this dataset also indicates if Instant Bookable is possible providing convenience when booking stays . Lastly business travel ready gives greater insight as double verification that each unit is well equipped for professional travelers requiring specific set up conditions.

To get started working with this data , you can use Excel or Tableau Hyper formats this allowing you analyze variables whether these would be through charts , pivot tables , graphs etc.. To get even more detail using Geojson file helps visualizing Neighbourhoods within Berlin enabling further exploration through GIS applications In conclusion whether personal holiday planning or analyzing regional trends inside Berlin’s housing market via AirBnb list --this dataset gives great insights into giving better rounded views upon potential options !

Research Ideas

• Analyzing the reviews of each host to measure the success rate and customer satisfaction of Airbnb properties in Berlin.
• Creating a map of Airbnb properties in Berlin based on location, price, ratings and amenities to help potential guests make an informed decision about where to stay.
• Utilizing the data collected from each listing to create predictive models for prices and ratings of future Airbnb listings in different neighborhoods or cities. This can help hosts set appropriate rates for their listings and optimize their success rate on hosting platforms like Airbnb

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You ...

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...

Berlin Airbnb Ratings

An Evaluation of Berlin Airbnb Properties Based on Host Ratings

By Makeover Monday [source]

About this dataset

This dataset contains information on Airbnb listings in Berlin, including reviewer ratings and comments. With this data, you can analyze property characteristics, host characteristics, and guest experience in the German capital

How to use the dataset

​ Using the Berlin Airbnb Ratings dataset, you can explore how hosts measure up in different categories, including overall rating, accuracy rating, cleanliness rating, communication rating, and location rating. You can also filter the data by country code to see how ratings differ between countries

Research Ideas

• Using the Overall Rating as a guide, find 5 highest rated Airbnbs in each city and suggest them to friends/family looking for a place to stay in that area
• Find the top 3 most expensive Airbnbs and see if there's anything they have in common that makes them so expensive
• See if there's any correlation between the Overall Rating and the Price

Acknowledgements

Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: Airbnb Berlin.csv | Column name | Description | |:-------------------------|:-------------------------------------------------------------| | review_date | The date of the review. (Date) | | Reviewer Name | The name of the reviewer. (String) | | Comments | The reviewer's comments. (String) | | Listing URL | The URL of the listing. (String) | | Listing Name | The name of the listing. (String) | | Host URL | The URL of the host. (String) | | Host Name | The name of the host. (String) | | Host Since | The date the host joined Airbnb. (Date) | | Host Response Time | The host's response time. (String) | | Host Response Rate | The host's response rate. (String) | | Is Superhost | Whether or not the host is a Superhost. (Boolean) | | neighbourhood | The neighbourhood of the listing. (String) | | Neighborhood Group | The neighbourhood group of the listing. (String) | | City | The city of the listing. (String) | | Postal Code | The postal code of the listing. (String) | | Country Code | The country code of the listing. (String) | | Latitude | The latitude of the listing. (Float) | | Longitude | The longitude of the listing. (Float) | | Is Exact Location | Whether or not the location is exact. (Boolean) | | Property Type | The type of property. (String) | | Room Type | The type of room. (String) | | Accomodates | The number of people the property can accommodate. (Integer) | | Bathrooms | The number of bathrooms. (Float) | | Bedrooms | The number of bedrooms. (Integer) | | Beds | The number of beds. (Integer) | | Square Feet | The square footage of the property. (Float) | | Price | The price of the listing. (Float) | | Guests Included | The number of guests included in the price. (Integer) | | Min Nights | The minimum number of nights required to stay. (Integer) | | Reviews | The number ...

Graph and download economic data for Housing Inventory: Price Increased Count in Berlin, NH-VT (CBSA) (PRIINCCOU13620) from Jul 2016 to Dec 2024 about Berlin, VT, NH, price, and USA.

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.

The mortgage interest rate in Germany decreased notably between 2013 and 2022, falling below *** percent. This was part of an overall trend of falling mortgage interest rates in Europe. The mortgage interest rate in Germany has since increased to *** percent in the first quarter of 2025. The German mortgage market In Europe, Germany is the second-largest mortgage market, with a total value of mortgages outstanding amounting to nearly *** trillion euros. Mortgage loans are one of the oldest bank products. Among the factors that influence mortgage interest rates are inflation, economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market. Mortgage loans The higher cost of borrowing has a significant effect on the market: While the interest rates were at their lowest, mortgage lending was on the rise. In 2023, when the rates reached a 10-year-high, the quarterly gross mortgage lending fell to the lowest value since 2014. Meanwhile, house prices have also increased substantially in recent years. According to the House Price Index in Germany, between 2015 and 2024, house prices increased by nearly ** percent.