100+ datasets found
  1. COVID-19 impact on secondary residential housing prices Russia 2020, by...

    • statista.com
    Updated Sep 26, 2025
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    Statista (2025). COVID-19 impact on secondary residential housing prices Russia 2020, by region [Dataset]. https://www.statista.com/statistics/1113503/russia-fall-in-residential-housing-prices-due-to-covid-19/
    Explore at:
    Dataset updated
    Sep 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2020
    Area covered
    Russia
    Description

    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.

  2. Real estate prices coronavirus impact in Spain 2020, by region

    • statista.com
    Updated Jan 15, 2021
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    Statista (2021). Real estate prices coronavirus impact in Spain 2020, by region [Dataset]. https://www.statista.com/statistics/1196065/variation-real-estate-prices-due-to-coronavirus-spain-by-region/
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    Dataset updated
    Jan 15, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Spain
    Description

    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.

  3. Secondary real estate price growth due to COVID-19 in Russia 2020, by city

    • statista.com
    Updated Sep 26, 2025
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    Statista (2025). Secondary real estate price growth due to COVID-19 in Russia 2020, by city [Dataset]. https://www.statista.com/statistics/1105736/russia-covid-19-boosted-real-estate-prices-by-city/
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    Dataset updated
    Sep 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    Russia
    Description

    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.

  4. I

    Indonesia Residential Property Price Index: 18 Cities: Large

    • ceicdata.com
    Updated May 25, 2018
    + more versions
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    CEICdata.com (2018). Indonesia Residential Property Price Index: 18 Cities: Large [Dataset]. https://www.ceicdata.com/en/indonesia/residential-property-price-index-by-cities
    Explore at:
    Dataset updated
    May 25, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    Indonesia
    Variables measured
    Consumer Prices
    Description

    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]

  5. c

    Data from: Comparing Two House-Price Booms

    • clevelandfed.org
    Updated Feb 27, 2024
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    Federal Reserve Bank of Cleveland (2024). Comparing Two House-Price Booms [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2024/ec-202404-comparing-two-house-price-booms
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    Dataset updated
    Feb 27, 2024
    Dataset authored and provided by
    Federal Reserve Bank of Cleveland
    Description

    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.

  6. COVID-19 impact on housing transactions in Europe, per country 2018-2020

    • statista.com
    Updated Sep 22, 2020
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    Statista (2020). COVID-19 impact on housing transactions in Europe, per country 2018-2020 [Dataset]. https://www.statista.com/statistics/1174253/house-sales-change-in-europe-per-country/
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    Dataset updated
    Sep 22, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    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.

  7. city house info

    • figshare.com
    xlsx
    Updated Apr 27, 2021
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    zeng shian (2021). city house info [Dataset]. http://doi.org/10.6084/m9.figshare.14493858.v1
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    xlsxAvailable download formats
    Dataset updated
    Apr 27, 2021
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    zeng shian
    License

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

    Description

    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).

  8. Commercial Banks Aid Canada’s Housing Market

    • ibisworld.com
    Updated Sep 1, 2021
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    IBISWorld (2021). Commercial Banks Aid Canada’s Housing Market [Dataset]. https://www.ibisworld.com/blog/commercial-banks-aid-canadas-housing-market/124/1126/
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    Dataset updated
    Sep 1, 2021
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Sep 1, 2021
    Area covered
    Canada
    Description

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

  9. French people having delayed real estate purchase because of coronavirus...

    • statista.com
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    Statista, French people having delayed real estate purchase because of coronavirus 2020 [Dataset]. https://www.statista.com/statistics/1187663/french-people-having-delayed-real-estate-purchase-because-coronavirus/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 27, 2020 - May 29, 2020
    Area covered
    France
    Description

    This statistic illustrates the impact of the coronavirus (COVID-19) on the intention to buy or sell a property in France in 2020. It can be seen that more than half (54 percent) of French people who planned to buy or sell a property in 2020 had to delay the sale or purchase of a property because of the coronavirus. For more information on the coronavirus pandemic (COVID-19), please visit our page: Statistics & Facts on the coronavirus (COVID-19)

  10. Shifting Sands: How the COVID-19 Pandemic is Redefining UK Real Estate

    • ibisworld.com
    Updated Aug 4, 2021
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    IBISWorld (2021). Shifting Sands: How the COVID-19 Pandemic is Redefining UK Real Estate [Dataset]. https://www.ibisworld.com/blog/shifting-sands-how-the-covid-19-pandemic-is-redefining-uk-real-estate/
    Explore at:
    Dataset updated
    Aug 4, 2021
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Aug 4, 2021
    Area covered
    United Kingdom
    Description

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

  11. I

    Indonesia Real Residential Property Price Index

    • ceicdata.com
    Updated Jun 15, 2019
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    CEICdata.com (2019). Indonesia Real Residential Property Price Index [Dataset]. https://www.ceicdata.com/en/indicator/indonesia/real-residential-property-price-index
    Explore at:
    Dataset updated
    Jun 15, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2022 - Jun 1, 2025
    Area covered
    Indonesia
    Variables measured
    Consumer Prices
    Description

    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]

  12. M

    Mexico Real Residential Property Price Index

    • ceicdata.com
    Updated May 27, 2017
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    CEICdata.com (2017). Mexico Real Residential Property Price Index [Dataset]. https://www.ceicdata.com/en/indicator/mexico/real-residential-property-price-index
    Explore at:
    Dataset updated
    May 27, 2017
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2022 - Jun 1, 2025
    Area covered
    Mexico
    Variables measured
    Consumer Prices
    Description

    Key information about Mexico Gold Production

    • Mexico Real Residential Property Price Index was reported at 150.593 2010=100 in Jun 2025.
    • This records an increase from the previous number of 148.035 2010=100 for Mar 2025.
    • Mexico Real Residential Property Price Index data is updated quarterly, averaging 103.875 2010=100 from Mar 2005 to Jun 2025, with 82 observations.
    • The data reached an all-time high of 150.593 2010=100 in Jun 2025 and a record low of 90.997 2010=100 in Mar 2005.
    • Mexico 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]

  13. C

    China Real Residential Property Price Index

    • ceicdata.com
    Updated May 15, 2020
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    CEICdata.com (2020). China Real Residential Property Price Index [Dataset]. https://www.ceicdata.com/en/indicator/china/real-residential-property-price-index
    Explore at:
    Dataset updated
    May 15, 2020
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2022 - Jun 1, 2025
    Area covered
    China
    Variables measured
    Consumer Prices
    Description

    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]

  14. US Covid 19 Risk Assessment Data

    • kaggle.com
    zip
    Updated Apr 5, 2020
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    James Tourkistas (2020). US Covid 19 Risk Assessment Data [Dataset]. https://www.kaggle.com/jtourkis/covid19-us-major-city-density-data
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    zip(17414 bytes)Available download formats
    Dataset updated
    Apr 5, 2020
    Authors
    James Tourkistas
    Area covered
    United States
    Description

    Context

    Dataset aims to facilitate a state by state comparison of potential risk factors that may heighten Covid 19 transmission rates or deaths. It includes state by state estimates of: covid 19 positives/deaths, flu/pneumonia deaths, major city population densities, available hospital resources, high risk health condition prevalance, population over 60, means of work transportation rates, housing characteristics (ie number of large apartment complexes/seniors living alone), and industry information.

    Content

    The Data Includes:

    1) Covid 19 Outcome Stats:

    Covid_Death : Covid Deaths by State

    Covid_Positive : Covid Positive Tests by State

    2) US Major City Population Density by State: CBSA_Major_City_max_weighted_density

    3) KFF Estimates of Total Hospital Beds by State:

    Kaiser_Total_Hospital_Beds

    4) 2018 Season Flu and Pneumonia Death Stats:

    FLUVIEW_TOTAL_PNEUMONIA_DEATHS_Season_2018

    FLUVIEW_TOTAL_INFLUENZA_DEATHS_Season_2018

    5)US Total Rates of Flu Hospitalization by Underlying Condition:

    Fluview_US_FLU_Hospitalization_Rate_....

    6) State by State BRFSS Prevalance Rates of Conditions Associated with Higher Flu Hospitalization Rates

    BRFSS_Diabetes_Prevalance BRFSS_Asthma_Prevalance BRFSS_COPD_Prevalance
    BRFSS_Obesity BMI Prevalance BRFSS_Other_Cancer_Prevalance BRFSS_Kidney_Disease_Prevalance BRFSS_Obesity BMI Prevalance BRFSS_2017_High_Cholestoral_Prevalance BRFSS_2017_High_Blood_Pressure_Prevalance Census_Population_Over_60

    7)State by state breakdown of Means of Work Transpotation:

    COMMUTE_Census_Worker_Public_Transportation_Rate

    8) State by state breakdown of Housing Characteristics

    9) State by State breakdown of Industry Information

    Acknowledgements

    Links to data sources:

    https://worldpopulationreview.com/states/

    https://covidtracking.com/data/

    https://gis.cdc.gov/GRASP/Fluview/FluHospRates.html https://www.kff.org/health-costs/issue-brief/state-data-and-policy-actions-to-address-coronavirus/#stateleveldata

    https://data.census.gov/cedsci/table?q=United%20States&tid=ACSDP1Y2018.DP05&hidePreview=true&vintage=2018&layer=VT_2018_040_00_PY_D1&cid=S0103_C01_001E

    Census Tables: ACSST1Y2018.S1811 ACSST1Y2018.S0102 ACSST1Y2018.S2403 ACSST1Y2018.S2501 ACSST1Y2018.S2504

    https://www.census.gov/library/visualizations/2012/dec/c2010sr-01-density.html

    https://gis.cdc.gov/grasp/fluview/mortality.html

    Inspiration

    I hope to show the existence of correlations that warrant a deeper county by county analysis to identify areas of increased risk requiring increased resource allocation or increased attention to preventative measures.

  15. o

    Long-Term Care Home COVID-19 Data

    • data.ontario.ca
    • open.canada.ca
    csv, xlsx
    Updated Jul 6, 2023
    + more versions
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    Long-Term Care (2023). Long-Term Care Home COVID-19 Data [Dataset]. https://data.ontario.ca/dataset/long-term-care-home-covid-19-data
    Explore at:
    csv(36548), csv(28269222), xlsx(13125), csv(220971), csv(7204208), csv(1483978)Available download formats
    Dataset updated
    Jul 6, 2023
    Dataset authored and provided by
    Long-Term Care
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Time period covered
    Mar 30, 2023
    Area covered
    Ontario
    Description

    This dataset contains records of publicly reported data on COVID-19 testing in Ontario long-term care homes. It was collected between April 24, 2020 and March 30, 2023.

    Summary data is aggregated to the provincial level. Reports fewer than 5 are indicated with <5 to maintain the privacy of individuals.

    Data includes:

    • Long-term care home COVID-19 summary data
    • Long-term care homes with an active COVID-19 outbreak
    • Long-term care homes no longer in a COVID-19 outbreak
    • Long-term care home COVID-19 summary data by Public Health Unit (PHU)
    • Long-term care home COVID-19 staff vaccination rates

    An outbreak is defined as two or more lab-confirmed COVID-19 cases in residents, staff or other visitors in a home, with an epidemiological link, within a 14-day period, where at least one case could have reasonably acquired their infection in the long-term care home. Prior to April 7, 2021, the definition required one or more lab-confirmed COVID-19 cases in a resident or staff in the long-term care home.

    Notes

    February 21 to March 29, 2023: Data is only available for regular business days (for example, Monday through Friday, except statutory holidays)

    March 12 – 13, 2022: Due to technical difficulties, data is not available.

    September 8, 2022: The data dated September 6, 2022 represents data collected during the period of September 3, 4 and 5, 2022.

    October 6, 2022: The data dated October 5, 2022 represents data collected during the period of October 1, 2, 3 and 4, 2022.

    October 13, 2022: Due to technical difficulties, data for the date of October 9 is not available.

    October 20, 2022: Due to technical difficulties, data for the dates of October 15, 16 is not available.

    November 24, 2022: Due to technical difficulties, data is not available.

  16. COVID-19 impact on gross fixed capital formation for housing in Europe 2020

    • statista.com
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    Statista, COVID-19 impact on gross fixed capital formation for housing in Europe 2020 [Dataset]. https://www.statista.com/statistics/1173713/gross-fixed-capital-formation-change-on-housing-in-europe/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    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.

  17. H

    Hong Kong SAR, China Real Residential Property Price Index

    • ceicdata.com
    Updated May 27, 2017
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    CEICdata.com (2017). Hong Kong SAR, China Real Residential Property Price Index [Dataset]. https://www.ceicdata.com/en/indicator/hong-kong/real-residential-property-price-index
    Explore at:
    Dataset updated
    May 27, 2017
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2022 - Jun 1, 2025
    Area covered
    Hong Kong
    Variables measured
    Consumer Prices
    Description

    Key information about Hong Kong SAR (China) Gold Production

    • Hong Kong SAR (China) Real Residential Property Price Index was reported at 129.683 2010=100 in Jun 2025.
    • This records an increase from the previous number of 129.024 2010=100 for Mar 2025.
    • Hong Kong SAR (China) Real Residential Property Price Index data is updated quarterly, averaging 49.873 2010=100 from Dec 1979 to Jun 2025, with 183 observations.
    • The data reached an all-time high of 198.526 2010=100 in Sep 2018 and a record low of 28.660 2010=100 in Sep 1984.
    • Hong Kong SAR (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]

  18. Descriptive statistics of key variables.

    • plos.figshare.com
    xls
    Updated Sep 5, 2025
    + more versions
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    Dasom Han; Chang Gyu Choi (2025). Descriptive statistics of key variables. [Dataset]. http://doi.org/10.1371/journal.pone.0330932.t002
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    xlsAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Dasom Han; Chang Gyu Choi
    License

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

    Description

    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.

  19. g

    Evolution of the price of new homes in France from 2020 to 2023 (covid...

    • gimi9.com
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    Evolution of the price of new homes in France from 2020 to 2023 (covid effect, shortage and then inflation) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_653694f3175edb7e16b0bf81
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    Area covered
    France
    Description

    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.

  20. H

    Hungary Real Residential Property Price Index

    • ceicdata.com
    Updated Feb 15, 2019
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    CEICdata.com (2019). Hungary Real Residential Property Price Index [Dataset]. https://www.ceicdata.com/en/indicator/hungary/real-residential-property-price-index
    Explore at:
    Dataset updated
    Feb 15, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2022 - Jun 1, 2025
    Area covered
    Hungary
    Variables measured
    Consumer Prices
    Description

    Key information about Hungary Gold Production

    • Hungary Real Residential Property Price Index was reported at 196.486 2010=100 in Jun 2025.
    • This records an increase from the previous number of 195.523 2010=100 for Mar 2025.
    • Hungary Real Residential Property Price Index data is updated quarterly, averaging 83.714 2010=100 from Mar 2000 to Jun 2025, with 102 observations.
    • The data reached an all-time high of 196.486 2010=100 in Jun 2025 and a record low of 80.555 2010=100 in Dec 2013.
    • Hungary 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]

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Statista (2025). COVID-19 impact on secondary residential housing prices Russia 2020, by region [Dataset]. https://www.statista.com/statistics/1113503/russia-fall-in-residential-housing-prices-due-to-covid-19/
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COVID-19 impact on secondary residential housing prices Russia 2020, by region

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Dataset updated
Sep 26, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Apr 2020
Area covered
Russia
Description

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.

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