In April 2020, the Sakha (Yakutiya) Republic recorded the most significant price drop in real estate prices in Russia with a roughly five percent price fall per square meter. In the Moscow and Leningrad Regions, the price of residential properties dropped by 3.2 and 3 percentage points per square meter over the given period, respectively.

La Rioja was the Spanish region where the pandemic impact on real estate prices was higher compared to the previous year, with a decrease of almost 16% in the last quarter of 2020. The only place in Spain where there was an increase in comparison with the pre-pandemic data was in the autonomous city of Melilla.

In this Economic Commentary , we compare characteristics of the 2000–2006 house-price boom that preceded the Great Recession to the house-price boom that began in 2020 during the COVID-19 pandemic. These two episodes of high house-price growth have important differences, including the behavior of rental rates, the dynamics of housing supply and demand, and the state of the mortgage market. The absence of changes in fundamentals during the 2000s is consistent with the literature emphasizing house-price beliefs during this prior episode. In contrast to during the 2000s boom, changes in fundamentals (including rent and demand growth) played a more dominant role in the 2020s house-price boom.

The data in this paper are divided into two main sections, which are data on the housing market and data on epidemic case information. The time span of the data sample is from December 1, 2019 to April 26, 2020.The original data of the housing market aspect such as the second-hand house price index in Wuhan and the surrounding provincial capital cities were obtained from Chain Home and Baidu Maps. Among them, there are 53,541 valid records of residential transactions in second-hand neighborhoods, with a final total of 347,720 after data cleaning (5582 in Wuhan; 5710 in Hefei; 7988 in Xi'an; 2066 in Changsha; 5910 in Zhengzhou; and 7464 in Chongqing).

Accelerated Russian ruble devaluation, caused by the coronavirus (COVID-19) expansion and sinking oil prices, generated an increasingly popular fear of a possible mortgage rate growth in the country. Consequently, the residential real estate demand growth led to increased prices in the secondary market. The highest increase was marked in Krasnoyarsk at two percent, while Moscow made it in the top three with a 1.5 percent increment on average.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Gross fixed capital formation for housing decreased significantly in several European countries in early 2020 but followed with a drop in the second quarter of the year with the coronavirus (COVID-19) outbreak. This translated into a halt of residential property investments. In countries like the United Kingdom (UK), Ireland, France, Spain, Italy, and Luxembourg the year-on-year percentage decrease was between ** and ** percent. Тhis was not the case with several countries that kept housing investment growing on an year-on-year basis in 2020: Greece, Hungary, Sweden, Denmark, and Czechia.

More in-depth data can be found in the report on the coronavirus impacting house prices in Europe in 2020 and 2021.

Residential Property Price Index: 18 Cities: Large data was reported at 107.304 2018=100 in Dec 2024. This records an increase from the previous number of 107.109 2018=100 for Sep 2024. Residential Property Price Index: 18 Cities: Large data is updated quarterly, averaging 102.588 2018=100 from Mar 2018 (Median) to Dec 2024, with 28 observations. The data reached an all-time high of 107.304 2018=100 in Dec 2024 and a record low of 99.532 2018=100 in Mar 2018. Residential Property Price Index: 18 Cities: Large data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Global Database’s Indonesia – Table ID.EF010: Residential Property Price Index: by Cities. [COVID-19-IMPACT]

Analysis of Spanish Apartment Pricing and Size Post-COVID-19

Investigating the Impact of the Pandemic

By [source]

About this dataset

This dataset provides an in-depth insight into Spanish apartment prices, locations and sizes, offering a comprehensive view of the effects of the Covid-19 crisis in this market. By exploring the data you can gain valuable knowledge on how different variables such as number of rooms, bathrooms, square meters and photos influence pricing, as well as key details such as description and whether or not they are recommended by reviews. Furthermore, by comparing average prices per square meter regionally between different areas you can get a better understanding of individual apartment value changes over time. Whether you are looking for your dream home or simply seeking to understand current trends within this sector this dataset is here to provide all the information necessary for both people either starting or already familiar with this industry

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How to use the dataset

This dataset includes a comprehensive collection of Spanish apartments that are currently up for sale. It provides valuable insight into the effects of the Covid-19 pandemic on pricing and size. With this guide, you can take advantage of all the data to explore how different factors like housing surface area, number of rooms and bathrooms, location, number of photos associated with an apartment, type and recommendations affect price.

• First off, you should start by taking a look at summary column which summarizes in one or two lines what each apartment is about. You can quickly search some patterns which could give important information about the market current situation during COVID-19 crisis.

• Explore more in depth each individual apartment by looking at its description section for example if it refers to particular services available like swimming pool or gymnasiums . Consequently those extra features usually bumps up the prices higher since buyers are keen to have such luxury items included in their purchase even if it’s not so affordable sometimes..

• Start studying locationwise since it might gives hint as to what kind preof city we have eirther active market in terms equity investment , home stay rental business activities that suggest opportunities for considerable return on investment (ROI). Even further detailed analysis such as comparing net change over time energy efficient ratings electrical or fuel efficiency , transport facilities , educational level may be conducted when choosing between several apartments located close one another ..

• Consider multiple column ranging from price value provided (price/m2 )to size sqm surface area measure and count number of rooms & bathrooms . Doing so will help allot better understanding whether purchasing an unit is worth expenditure once overall costs per advantages estimated –as previously acknowledged apps features could increase prices significantly- don’t forget security aspect major item critical home choice making process affording protection against Intruders ..

• An interesting but tricky part is Num Photos how many were included –possibly indicates quality build high end projects appreciate additional gallery mentioning quite informative panorama around property itself - while recomendation customarily assumes certain guarantees warranties unique promise provided providing aside prospective buyer safety issues impose trustworthiness matters shared among other future residents …

• Finally type & region column should be taken into account reason enough different categories identifies houses versus flats diversely built outside suburban villas contained inside specially designed mansion areas built upon special requests .. Therefore usage those two complementary field help finding right desired environment accompaniments beach lounge bar attract nature lovers adjacent mountainside

Research Ideas

• Creating an interactive mapping tool that showcases the average prices per square meter of different cities or regions in Spain, enabling potential buyers to identify the most affordable areas for their desired budget and size.
• Developing a comparison algorithm that recommends the best options available depending on various criteria such as cost, rooms/bathrooms, recommended status, etc., helping users make informed decisions when browsing for apartments online.
• Constructing a model that predicts sale prices based on existing data trends and analyses of photos and recommendations associated wit...

Commercial banks are expected to help the federal government deflate Canada’s housing bubble after the COVID-19 (coronavirus) pandemic.

Residential real estate transactions saw both a decline as well as an increase during the coronavirus pandemic in 2020, depending on the country. In Denmark, for example, property sales increased by over ***** percent year-on-year in the second quarter of 2020. This was in stark contrast to the United Kingdom, where provisional and non-seasonal data suggested the country saw one of its largest drops in housing transactions since 2009. Some countries, on the other hand, already witnessed a decrease in their transactions before COVID-19 hit Europe. The housing trade inFrance, for example, suffered a large decrease in the first quarter of 2020, right before quarantine measures were enforced. Data for Germany, on the other hand, suggested that its housing market was still growing before the lockdown. Whether this was still the case in 2020 remains to be seen.

The website plans.fr, which lists more than 1,000 house plans online, has listed price increases in construction since 2020. These increases are due to several factors: — Re 2020 replacing the ROE 2012 — COVID with shortages of materials and craftsmen — High inflation of raw materials (+ 60 % on steel,...) The rises in the price of new housing since 2020 are delusional and have never been seen in recent history.

We’ve examined how pandemic-related to disruption to office working, retail operations and the hospitality sector has affected the real estate market.

Key information about Indonesia Gold Production

• Indonesia Real Residential Property Price Index was reported at 94.958 2010=100 in Jun 2025.
• This records a decrease from the previous number of 96.606 2010=100 for Mar 2025.
• Indonesia Real Residential Property Price Index data is updated quarterly, averaging 104.158 2010=100 from Mar 2002 to Jun 2025, with 94 observations.
• The data reached an all-time high of 140.259 2010=100 in Jun 2002 and a record low of 94.958 2010=100 in Jun 2025.
• Indonesia Real Residential Property Price Index data remains active status in CEIC and is reported by Bank for International Settlements.
• The data is categorized under World Trend Plus’s Association: Property Sector – Table RK.BIS.RPPI: Selected Real Residential Property Price Index: 2010=100: Quarterly. [COVID-19-IMPACT]

The average sales price of new homes in the United States experienced a slight decrease in 2024, dropping to 512,2000 U.S. dollars from the peak of 521,500 U.S. dollars in 2022. This decline came after years of substantial price increases, with the average price surpassing 400,000 U.S. dollars for the first time in 2021. The recent cooling in the housing market reflects broader economic trends and changing consumer sentiment towards homeownership. Factors influencing home prices and affordability The rapid rise in home prices over the past few years has been driven by several factors, including historically low mortgage rates and increased demand during the COVID-19 pandemic. However, the market has since slowed down, with the number of home sales declining by over two million between 2021 and 2023. This decline can be attributed to rising mortgage rates and decreased affordability. The Housing Affordability Index hit a record low of 98.1 in 2023, indicating that the median-income family could no longer afford a median-priced home. Future outlook for the housing market Despite the recent cooling, experts forecast a potential recovery in the coming years. The Freddie Mac House Price Index showed a growth of 6.5 percent in 2023, which is still above the long-term average of 4.4 percent since 1990. However, homebuyer sentiment remains low across all age groups, with people aged 45 to 64 expressing the most pessimistic outlook. The median sales price of existing homes is expected to increase slightly until 2025, suggesting that affordability challenges may persist in the near future.

Key information about China Gold Production

• China Real Residential Property Price Index was reported at 90.676 2010=100 in Jun 2025.
• This records a decrease from the previous number of 91.615 2010=100 for Mar 2025.
• China Real Residential Property Price Index data is updated quarterly, averaging 93.824 2010=100 from Jun 2005 to Jun 2025, with 81 observations.
• The data reached an all-time high of 112.991 2010=100 in Sep 2021 and a record low of 87.950 2010=100 in Jun 2005.
• China Real Residential Property Price Index data remains active status in CEIC and is reported by Bank for International Settlements.
• The data is categorized under World Trend Plus’s Association: Property Sector – Table RK.BIS.RPPI: Selected Real Residential Property Price Index: 2010=100: Quarterly. [COVID-19-IMPACT]

European Union House Price Index: EU 27 excl UK data was reported at 155.790 2015=100 in Dec 2024. This records an increase from the previous number of 154.620 2015=100 for Sep 2024. European Union House Price Index: EU 27 excl UK data is updated quarterly, averaging 102.895 2015=100 from Mar 2005 (Median) to Dec 2024, with 80 observations. The data reached an all-time high of 155.790 2015=100 in Dec 2024 and a record low of 83.540 2015=100 in Mar 2005. European Union House Price Index: EU 27 excl UK data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.EB001: Eurostat: House Price Index: 2015=100. [COVID-19-IMPACT]

Key information about Russia Gold Production

• Russia Real Residential Property Price Index was reported at 76.346 2010=100 in Jun 2025.
• This records a decrease from the previous number of 76.542 2010=100 for Mar 2025.
• Russia Real Residential Property Price Index data is updated quarterly, averaging 78.396 2010=100 from Mar 2001 to Jun 2025, with 98 observations.
• The data reached an all-time high of 113.140 2010=100 in Sep 2008 and a record low of 34.944 2010=100 in Mar 2001.
• Russia Real Residential Property Price Index data remains active status in CEIC and is reported by Bank for International Settlements.
• The data is categorized under World Trend Plus’s Association: Property Sector – Table RK.BIS.RPPI: Selected Real Residential Property Price Index: 2010=100: Quarterly. [COVID-19-IMPACT]

This study examines the spatial dynamics of urban vegetation and its impact on housing prices in Chicago, analyzing data from both pre- and post-COVID-19 periods. Employing Ordinary Least Squares (OLS) and Multiscale Geographically Weighted Regression (MGWR) models, we assess how the effects of green spaces on property values vary across different neighborhoods. The OLS model generally indicates a positive correlation between increased vegetation and housing prices. In contrast, the MGWR model reveals that the benefits of urban green spaces to property values are not uniformly distributed and exhibit significant variability. Notably, in some South Side areas of Chicago, increases in green space correlate with declines in property values, a sensitivity that intensified post-pandemic, leading to notable price declines. Conversely, the North Side, characterized as a higher-income area, shows greater resilience to the impacts of both increased green spaces and the COVID-19 pandemic, with less susceptibility to economic downturns. This research underscores the intricate interplay between urban green spaces and economic factors, highlighting how local socio-economic conditions and urban planning strategies can influence the economic benefits of vegetation. The findings provide essential insights for urban policymakers and planners striving to promote sustainable development and equitable economic growth in urban environments.

In this study, we conducted conjoint analysis utilizing an internet-based survey by presenting consumers (n=583) with 12 different hypothetical at-home COVID test concepts that varied on five attributes (price, accuracy, time, where-to-buy, and method).

Key information about Serbia Gold Production

• Serbia Real Residential Property Price Index was reported at 115.200 2010=100 in Jun 2025.
• This records an increase from the previous number of 114.750 2010=100 for Mar 2025.
• Serbia Real Residential Property Price Index data is updated quarterly, averaging 79.860 2010=100 from Mar 2000 to Jun 2025, with 102 observations.
• The data reached an all-time high of 144.820 2010=100 in Jun 2000 and a record low of 65.513 2010=100 in Sep 2002.
• Serbia Real Residential Property Price Index data remains active status in CEIC and is reported by Bank for International Settlements.
• The data is categorized under World Trend Plus’s Association: Property Sector – Table RK.BIS.RPPI: Selected Real Residential Property Price Index: 2010=100: Quarterly. [COVID-19-IMPACT]