In May 2020, 34 percent of U.S. realtors said that home buyers delayed the process for a couple of months due to the COVID-19 pandemic, and 19 percent said their clients stopped looking for a new home due to concern about job or loss of job. At the same time, more than 20 percent reported that their clients continued to meet up with them in person and look for new home despite the ongoing pandemic.
Every tenth Pole after the coronavirus epidemic in Poland has plans to purchase real estate. The vast majority did not plan and do not intend to buy a property in 2020.
For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.
In 2020, the interest of ultra high-net-worth individuals (UHNWIs) worldwide shifted away from dense urban areas as a result of the coronavirus (COVID-19) pandemic. According to 56 percent of the private bankers and wealth managers that participated in the survey, UHBWIs have been more interested in properties located in resorts and costal areas. City or urban areas, on the other hand, were less sought after according to 33 percent of the respondents.
Codebooks for analyzing property (house, condo, flat, etc.) listing data for each of the 10 select regions in the bay area megaregion of California, USA (SAN JOSE, MODESTO, FRESNO, TURLOCK, LIVINGSTON, ATWATER, MERCED, MADERA, MARIPOSA, OAKHURST) were obtained from Zillow Inc. on a monthly basis between March 2018 and May 2019 (denoted as the period before 2020) and May 2020 and September 2021 (after 2020). Combined, the total number of observations (unique listed properties) is N = 57,414. For each month, we obtained a set of unique listing identifiers (ZPID) by manually scanning across the entire Zillow.com directory for a given region and property type (“For Sale†and “Rent†). Read the enclosed document DataDryad_DataDescription_Petersen_Zillow.pdf for a description of the data and output of provided supporting code. Contact the corresponding author for the raw property-level data files, which are anonymized [property address and property identifier (ZPID) fields]., We used the open-access Zillow Inc. GetSearchResults API to sample house data for each ZPID in accordance with daily API call limits. For more information on the API see the official documentation page: https://www.zillow.com/howto/api/GetSearchResults.htm. We anonymized the property address and ZPID fields. , Programs required: Mathematica 11 (or later version) and STATA 13 (or later version). The workflow for executing Mathematica notebooks is simply Shift+Enter to execute commands contained in any given cell; the initial cells upload the data files, and from there the notebook cells should be executed from start to end in linear order., # Zillow property-level data panel for select California cities before and after 2020
Codebooks for analyzing property (house, condo, etc.) listing data for 10 select regions were obtained from Zillow Inc. on a monthly basis between March 2018 and May 2019 (denoted as the period before 2020) and May 2020 and September 2021 (after 2020). For each month, we obtained a set of unique listing identifiers (ZPID) by manually scanning across the entire Zillow.com directory for a given region and property type ("For Sale" and "Rent"). Combined, the total number of observations (unique listed properties) is N = 57,414.
All data files are provided in CSV (comma separated value) format. See DataDryad_DataDescription_Petersen.pdf for data file structure details. Contact the corresponding author for the raw property-level data files, which are anonymized [property address and property identifier (ZPID) fields]. Â
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Codebooks for analyzing property (house, condo, flat, etc.) listing data for each of the 10 select regions in the bay area megaregion of California, USA (SAN JOSE, MODESTO, FRESNO, TURLOCK, LIVINGSTON, ATWATER, MERCED, MADERA, MARIPOSA, OAKHURST) were obtained from Zillow Inc. on a monthly basis between March 2018 and May 2019 (denoted as the period before 2020) and May 2020 and September 2021 (after 2020). Combined, the total number of observations (unique listed properties) is N = 57,414. For each month, we obtained a set of unique listing identifiers (ZPID) by manually scanning across the entire Zillow.com directory for a given region and property type ("For Sale" and "Rent"). Read the enclosed document DataDryad_DataDescription_Petersen_Zillow.pdf for a description of the data and output of provided supporting code. Contact the corresponding author for the raw property-level data files, which are anonymized [property address and property identifier (ZPID) fields].
As surveyed by Infocus Mekong , houses were the real estate property with the leading purchase intention among consumers in Vietnam during the COVID-19 pandemic in 2020, with 17 percent of respondents declaring the intention to purchase houses. By comparison, land took over as the most wanted property type in 2021 according to 23 percent of the respondents. In general, the intention to buy real estate property in 2021 was 10 percent higher than that of 2020.
After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker. The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level. It is a weekly snapshot in time that: Focuses on recent outcomes in the last seven days and changes relative to the month prior Provides additional contextual information at the county level for each state, and includes national level information Supports rapid visual interpretation of results with color thresholds
One of the expected impacts of the coronavirus (COVID-19) that brought the world to a halt in the first quarter of 2020 is the disruption to normal business activities and supply chains. The effect spreads through various industries and with the assumption of a six-month delay in construction activities, the forecast suggests property completions planned for 2020 in cities in the United Kingdom (UK) could decrease by more than one third, leading up to more completions in 2021 than originally planned. For more information on the Statista coverage of the coronavirus in the UK, see our report.
Replication code for the analysis and figures in the paper
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After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker.
The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level.
It is a weekly snapshot in time that:
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After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker.
The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level.
It is a weekly snapshot in time that:
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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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Sweden Business Survey: COVID-19 Effect: SO: Services: Renting & Operating of Real Estate (RO): Response Rate data was reported at 58.000 % in 11 Aug 2021. This records an increase from the previous number of 55.000 % for 15 Jul 2021. Sweden Business Survey: COVID-19 Effect: SO: Services: Renting & Operating of Real Estate (RO): Response Rate data is updated daily, averaging 51.000 % from May 2020 (Median) to 11 Aug 2021, with 19 observations. The data reached an all-time high of 66.000 % in 09 Dec 2020 and a record low of 34.000 % in 29 Jul 2020. Sweden Business Survey: COVID-19 Effect: SO: Services: Renting & Operating of Real Estate (RO): Response Rate data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.S009: Business Survey: COVID-19 Effect: Seizing Operations (Discontinued).
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After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker.
The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level.
It is a weekly snapshot in time that:
Nursing homes with residents positive for COVID-19 from 4/22/2020 to 6/19/2020.
Starting in July 2020, this dataset will no longer be updated and will be replaced by the CMS COVID-19 Nursing Home Dataset, available at the following link: https://data.ct.gov/Health-and-Human-Services/CMS-COVID-19-Nursing-Home-Dataset/w8wc-65i5.
Methods: 1) Laboratory-confirmed case counts are based upon data reported via the FLIS web portal. Nursing homes were asked to provide cumulative totals of residents with laboratory confirmed covid. This includes residents currently in-house, in the hospital, or who are deceased. Residents were excluded if they tested positive prior to initial admission to the nursing home. 2) The cumulative number of deaths among nursing home residents is based upon data reported by the Office of the Chief Medical Examiner. For public health surveillance, COVID-19-associated deaths include persons who tested positive for COVID-19 around the time of death (laboratory-confirmed) and persons whose death certificate lists COVID-19 disease as a cause of death or a significant condition contributing to death (probable).
Limitations: 1) As of the week of 5/10/20, Point Prevalence Survey testing is being offered to all asymptomatic nursing home residents to inform infection prevention efforts. Point prevalence surveys will be conducted over a period of several weeks. Some nursing homes had adequate testing resources available to conduct surveys prior to this date. Differences in survey timing will impact the number of positive results that a nursing home reports. 2) Cumulative totals of residents testing positive are being collected rather than individual resident data. Thus we cannot verify the counts, de-duplicate, and/or verify whether there is a record of a positive lab test. This may result in either under- or over-counting. 3) The number of COVID-19 positive residents and the number of confirmed deaths among residents are tabulated from different data sources. Due to the timing of availability of test results for deceased residents, it is not appropriate to calculate the percent of cases who died due to COVID-19 at any particular facility based upon this data. 4) The count of deaths reported for 4/14 are not included in this dataset, as they were not broken out by laboratory-confirmed or probable. They can be viewed in the DPH Report here: https://portal.ct.gov/-/media/Coronavirus/CTDPHCOVID19summary4162020.pdf?la=en
After over two years of public reporting, the Community Profile Report County-Level dataset will no longer be produced and distributed after the end of the public health emergency declaration. The final release will be on May 15, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Effective June 22, 2021, the Community Profile Report will only be updated twice a week, on Tuesdays and Fridays. The Community Profile Report (CPR) – County-Level is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, under the White House COVID-19 Team. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services, the Centers for Disease Control and Prevention, the Assistant Secretary for Preparedness and Response, and the Indian Health Service). This data table provides county-level information. It is a daily snapshot in time that focuses on recent COVID-19 outcomes in the last seven days and changes relative to the week prior. Data in this report may differ from data on state and local websites. This may be due to differences in how data were reported (e.g., date specimen obtained, or date reported for cases) or how the metrics are calculated. Historical data may be updated over time due to delayed reporting.
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After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker.
The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level.
It is a weekly snapshot in time that:
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According to Cognitive Market Research, the global Property Management Software market size will be USD 22651.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 10.60% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 9060.60 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.8% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 6795.45 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 5209.85 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.6% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1132.58 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.0% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 453.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.3% from 2024 to 2031.
Rental and Tenant Management is the dominant market segment
Market Dynamics of Property Management Software Market
Key Drivers for Property Management Software Market
Increasing Adoption of Technology
The rising incorporation of technology in property management software has surged the growth of the property management software market. The basic need is to make property managers realize the value of these tech solutions in smoothing operations, relating better with tenants, and using modern procedures to track financials and create newer methods for managing property. With data analytic features and mobile accessibility, these software tools automate many of the responsibilities for a property manager to execute his duties effectively. The trend is that property management software is fast becoming the simplest requirement for modern property management practices, especially in an increasingly technical environment.
Rising Real Estate Investments
Real estate investment is another driver of the Property Management Software market. The more money that investors pour into the real estate sector, the greater the demand for robust property management solutions. Owners and real estate managers are thus eyeing software tools to optimize operations, enhance tenant experiences, and maximize returns on investment. The growing real estate market creates a demand for advanced technology to manage properties effectively, track financial performance, and ensure that it comply with the regulations; all these factors drive market growth as property management software is increasingly applied to tackle intricacies involved in an increasingly large portfolio of real estate.
Restraint Factor for the Property Management Software Market
Data Security Concerns
Data Security Concerns are a significant restraint to the growing Property Management Software market. With increasing property management operations being operated on digital platforms, data breaches and cyber threats become a worrisome issue for property owners and managers. The concerns over the protection of sensitive information, such as tenant details, financial records, and property data, discourage the adoption of property management software. These security flaws need to be addressed to develop trust in software solutions, and this lack of trust in these products could impact market growth with potential users unwilling to adopt software without stringent security measures.
Impact of Covid-19 on the Property Management Software Market
The COVID-19 pandemic had a global impact, causing significant disruptions in real estate firms. Short-term issues for real estate management included keeping visitors and residents safe, maintaining property value, employing modern cleaning processes, and conforming to regulatory regulations. Furthermore, many schools and offices were closed, forcing businesses to consider various "work-from-home" possibilities. The COVID-19 outbreak prompted residential property managers to reconsider their policies. As a result, smart processes and AI-based solutions saw significant growth in popularity. Introduction of the Property Management Software Market
Property management software is a comprehensive solution for property managers, l...
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After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker.
The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level.
It is a weekly snapshot in time that:
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License information was derived automatically
Sweden Business Survey: COVID-19 Effect: SO: Construction: BC: Houses: Number Risk data was reported at 75.000 % in 11 Aug 2021. This records a decrease from the previous number of 76.000 % for 09 Jun 2021. Sweden Business Survey: COVID-19 Effect: SO: Construction: BC: Houses: Number Risk data is updated daily, averaging 75.000 % from May 2020 (Median) to 11 Aug 2021, with 17 observations. The data reached an all-time high of 88.000 % in 10 Feb 2021 and a record low of 67.000 % in 14 Apr 2021. Sweden Business Survey: COVID-19 Effect: SO: Construction: BC: Houses: Number Risk data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.S009: Business Survey: COVID-19 Effect: Seizing Operations (Discontinued).
In May 2020, 34 percent of U.S. realtors said that home buyers delayed the process for a couple of months due to the COVID-19 pandemic, and 19 percent said their clients stopped looking for a new home due to concern about job or loss of job. At the same time, more than 20 percent reported that their clients continued to meet up with them in person and look for new home despite the ongoing pandemic.