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TwitterIn 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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TwitterLa 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.
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TwitterAccelerated 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.
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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]
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TwitterIn 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.
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TwitterResidential 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.
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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).
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TwitterCommercial banks are expected to help the federal government deflate Canada’s housing bubble after the COVID-19 (coronavirus) pandemic.
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TwitterThis 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)
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TwitterWe’ve examined how pandemic-related to disruption to office working, retail operations and the hospitality sector has affected the real estate market.
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Key information about Indonesia Gold Production
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Key information about Mexico Gold Production
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Key information about China Gold Production
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TwitterDataset 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.
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
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
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
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.
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Twitterhttps://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
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.
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.
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TwitterGross 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.
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Key information about Hong Kong SAR (China) Gold Production
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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.
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TwitterThe 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.
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Key information about Hungary Gold Production
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TwitterIn 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.