The coronavirus (COVID-19) pandemic and the lockdowns during this period had an impact on the attitudes of prospective home buyers in the United Kingdom (UK) in different ways. On one hand, there was a large percentage of prospective home buyers of ** percent that said COVID-19 motivated them to buy homes between ********** and **********.
However, concerns of financial security and the home buying process being harder were also registered at high rates. ** percent of prospective home buyers were worried about their financial security, ** percent reported that lockdowns made it harder to buy homes. This shows that while the motivation and interest in buying homes was large, but the conditions of lockdown and the financial impact of the coronavirus (COVID-19) pandemic were a big barrier towards making purchases.

In a March 2020 survey, the development related to COVID-19 which had most affect home buying or selling plans in the United States was the drop in mortgage rates, which was cited by **** percent of the respondents. Fear of recession and stock market volatility followed behind at ** and ** percent, respectively. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

In a September 2020 survey among adults in the United States, many respondents said that the COVID-19 pandemic did not change their interest in buying a home. Millennials were most likely to have changed their homeownership plans: ** percent of Millennials were more interested in buying a home due to the COVID-19 pandemic compared with **** percent of Baby Boomers.In the United States, the 2020 homeownership rate reached **** percent.

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 ** percent of respondents declaring the intention to purchase houses. By comparison, land took over as the most wanted property type in 2021 according to ** percent of the respondents. In general, the intention to buy real estate property in 2021 was ** percent higher than that of 2020.

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...

According to a survey conducted from 24th to 26th March 2020, ** percent of the Thai respondents who earned less than ** thousand Thai baht per month, stated that they stopped purchasing real estate or property during the coronavirus (COVID-19) pandemic. Meanwhile, ** percent of the Thai respondents who earned monthly more than ** thousand Thai baht, delayed their purchase for such products during the pandemic in the country.

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.

Long-term care homes (LTCHs) implemented various models of care during the COVID-19 pandemic. The purpose of this study was to identify these models of care and provide suggestions on best practices that could be integrated into LTCHs in efforts to improve resident care. The project included a quantitative survey and semi-structured key informant interviews with LTCH managers across Canada. Our objectives were to 1) identify models of care that were used to support resident care in Canadian LTCHs during the COVID-19 pandemic and to describe their intervention components, processes of implementation, and perceived impact; 2) determine whether LTCHs planned to sustain models of care implemented during the COVID-19 pandemic. Our results show that the most frequently reported models of care were related to healthy food options, exercise, music and art programs, and planned social activities for residents. Five barriers were identified in relation to implementing these models of care, which included: lack of funding, resources, or staffing; staff not being familiar with/reluctant to use the model; lack of resident buy-in; fear of COVID-19; and pandemic regulations. Common facilitators to implementation were also identified and included: staff support; resident/family buy-in; funding, legislation and/or resources provided; familiarity with model prior to COVID-19; and collaboration with other LTCHs. LTCHs perceived the models to be effective and planned to sustain most implemented models. LTCH managers discussed the need for funding and legislation to improve LTCHs and support the implementation of promising models of care. This study provides insight into the models of care implemented during the pandemic crisis period in Canadian LTCHs, how effective they were perceived to be, and plans for sustainment beyond the pandemic period.

Real estate activity is strongly correlated with the residential property and commercial real estate markets. The industry is characterised by high revenue volatility, as demand for property fluctuates with wider economic conditions. The majority of industry enterprises are often purposefully created structures used by other bodies, including property developers, real estate investment trusts and other investors, to carry out the specific tasks of buying and selling real estate. Revenue is estimated to inch upwards at a compound annual rate of 0.5% over the five years through 2025, including a 0.2% hike to €71.7 billion in 2025. Before the pandemic, a record-low interest rate environment and governmental incentives like the Loi Pinel scheme fuelled a thriving residential market, with home sales reaching a peak in early 2020. However, the downturn during the COVID-19 pandemic in 2020 led to a temporary slump in housing sales, denting real estate activity. Recovery was swift in 2021, buoyed by low mortgage rates and a resurgence in consumer confidence. However, since mid-2022, the industry has faced fresh challenges from soaring inflation and climbing interest rates. Residential property transactions dwindled, reaching their lowest in years by late 2023. The commercial market has also struggled, grappling with evolving work patterns and heightened borrowing costs, causing investment volumes to plunge. Subsiding inflation and interest rates have been providing opportunities for companies involved in the selling, buying and renting of real estate since 2024, but heightened uncertainty amid political instability is still restricting demand and revenue growth. Revenue is forecast to climb at a compound annual rate of 1.4% over the five years through 2030 to reach €76.8 billion. Improving economic conditions, including lower inflation and interest rates, will bolster real estate affordability and make investing in property more appealing. Demographic shifts, including urbanisation and an ageing population, will elevate demand for student and senior housing. However, challenges linger, as demand for retail spaces might suffer from strong e-commerce, while office landlords may struggle with vacancies as the hybrid work model persists. A focus on sustainability will be crucial for real estate companies, with the emphasis on green-certified buildings growing. Companies that integrate property technology like AI, blockchain and virtual reality will gain a competitive advantage and thrive in the evolving real estate market.

Hardware and home improvement stores’ revenue is forecast to rise at a compound annual rate of 1.4% over the five years through 2024 to reach €155.8 billion. Private spending on home renovation and maintenance, construction activity, environmental awareness and the number of households each play their part in determining sales. The EU and the UK enjoyed a housing market boom prior to 2023, when soaring mortgage rates deterred many from buying a new house. While demand for outfitting new houses is down, more Europeans are turning to repair, maintenance and renovation work on their existing properties, helping to raise sales of hardware and home improvement products. This trend accelerated during the COVID-19 pandemic, as people confined to their homes looked to refresh their surroundings and found themselves with more time to dedicate to DIY projects. Hardware and home improvement stores were deemed by many governments as essential businesses, allowing them to remain open during the lockdowns. In 2024, revenue growth is expected to be constrained by the cost-of-living crisis. Shoppers are increasingly price-sensitive and many are thinking twice before spending in response to intense inflationary pressures, cutting sales for many hardware and home improvement stores. Price inflation is expected to outweigh falling sales volumes, leading to revenue growth of 1% in 2024. Over the five years through 2029, hardware and home improvement stores’ revenue is slated to climb at a compound annual rate of 1.5% to reach €168 billion. Ever-growing levels of environmental awareness among Europeans will drive strong demand for sustainably sourced and energy-efficient products, like reclaimed wood and lithium-ion battery-powered hand tools. Competition from online-only retailers will continue to heat up, forcing hardware and home improvement stores to expand their in-store offerings to attract customers – augmented reality stations where shoppers can visualise their new products in their homes are one way retailers can try to do this.

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.

According to Cognitive Market Research, The Global Ready to Move in Luxury Homes Market size is USD 600.5 billion in 2023 and will grow at a compound annual growth rate (CAGR) of 8.0% from 2023 to 2030.

Remote work fueled demand for Ready to Move-in Luxury Homes, emphasizing dedicated offices and advanced amenities, creating synergy with the evolving work landscape.
The dominant category in the Ready to Move-in Luxury Homes market is the 1000-3000 square feet segment.
In the ready to move-in luxury homes market, luxury homes dominate.
North America will continue to lead, whereas the Europe Ready to Move in Luxury Homes Market will experience the strongest growth until 2030.

Market Dynamics of the Ready-to-Move-in Luxury Home Market

Remote Work and Low-Interest Rates Drive Surge in Demand for Ready-to-Move-in Luxury Home 

The advent of widespread remote work became a driving force for the ready-to-move-in luxury homes market. As companies embraced flexible work arrangements, professionals sought residences that catered to remote work needs. The cause-and-effect relationship unfolded as the demand for homes with dedicated office spaces, high-speed internet, and enhanced amenities surged. The market responded by prioritizing features conducive to remote work, such as spacious home offices and advanced technology infrastructure, creating a symbiotic relationship between the evolving work landscape and the flourishing luxury real estate sector.

Historic Low-Interest Rates Propel Demand for Ready to Move-in Luxury Homes

The ready to move-in luxury homes market experienced a boost driven by historically low-interest rates. As central banks implemented measures to stimulate economies amidst the pandemic, mortgage rates reached unprecedented lows. This led to increased buyer confidence and heightened affordability, catalyzing demand in the luxury real estate sector. The cause-and-effect relationship materialized as favorable financing conditions encouraged prospective buyers to invest in ready-to-move-in luxury homes, fostering a climate of increased transactions and market activity. Low-interest rates emerged as a pivotal driver shaping the positive trajectory of the luxury real estate market.

Restraints of the Ready-to-Move-in Luxury Homes

Supply Chain Disruptions and Construction Slowdown Impacting Ready-to-Move-in Luxury Homes Market

Supply chain disruptions emerged as a significant restraint in the ready to move-in luxury homes market. The cause-and-effect dynamic unfolded as the pandemic disrupted the flow of construction materials and labor, leading to a slowdown in construction activities. Delays in obtaining essential materials and the inability to secure skilled labor hindered project timelines. This restraint underscored the market's vulnerability to external factors affecting the construction industry, impacting the timely delivery of luxury homes and potentially dissuading prospective buyers who sought immediate occupancy.

Impact of COVID-19 on the Ready-to-Move-in Luxury Homes Market

The ready-to-move-in luxury homes market faced a dual impact from the COVID-19 pandemic. Lockdowns and economic uncertainties caused a slowdown in transactions and construction activities. However, as remote work gained prominence, there was a notable shift in demand toward spacious and well-equipped luxury homes. The market adapted by incorporating features like home offices and private amenities. Low interest rates further stimulated demand, leading to a rebound. Despite initial challenges, the pandemic catalyzed a transformation in the luxury real estate sector, aligning offerings with the evolving lifestyle preferences shaped by the new normal.

Opportunity for the growth of the Ready-to-Move-in Luxury Homes Market.

The increasing preference among affluent buyers for hassle-free, immediate occupancy solutions that combine convenience with high-end amenities.

One key opportunity for the growth of the ready-to-move-in luxury homes market lies in the increasing preference among affluent buyers for hassle-free, immediate occupancy solutions that combine convenience with high-end amenities. With rising disposable incomes and evolving lifestyles, especially among urban professionals, HNIs, and NRIs, there is a growing demand for premium properties that are fully constructed, elegantly designed, and equipped with smart home techno...

IntroductionEvidence for the effect of neighbourhood food environment (NFE) exposures on diet in the UK is mixed, potentially due to exposure misclassification. This study used the first national COVID-19 lockdown in England as an opportunity to isolate the independent effects of the NFE exposure on food and drink purchasing, and assessed whether these varied by region.MethodsTransaction-level purchasing data for food and drink items for at-home (1,221 households) and out-of-home consumption (171 individuals) were available from the GB Kantar Fast Moving Consumer Goods Panel for London and the North of England. The study period included 23rd March to 10th May 2020 (‘lockdown’), and the same period in 2019 for comparison. NFE exposures included food outlet density and proximity, and NFE composition within a 1 km network buffer around the home. Associations were estimated for both years separately, adjusted for individual and household characteristics, population density and area deprivation. Interaction terms between region and exposures were explored.ResultsThere were no consistent patterns of association between NFE exposures and food and drink purchasing in either time period. In 2019, there was some evidence for a 1.4% decrease in energy purchased from ultra-processed foods for each additional 500 m in the distance to the nearest OOH outlet (IR 0.986, 95% CI 0.977 to 0.995, p = 0.020). In 2020, there was some evidence for a 1.8% reduction in total take-home energy for each additional chain supermarket per km2 in the neighbourhood (IR 0.982, 95% CI 0.969, 0.995, p = 0.045). Region-specific effects were observed in 2019 only.DiscussionFindings suggest that the differences in exposure to the NFE may not explain differences in the patterns or healthiness of grocery purchasing. Observed pre-pandemic region-specific effects allude to the importance of geographical context when designing research and policy. Future research may assess associations for those who relied on their NFE during lockdown.

AimsTo explore changes in alcohol purchase and consumption during the first few months of the Covid-19 pandemic, and assess associations between increased alcohol purchase/use and socioeconomic and environmental factors.DesignSecondary data from a cross-sectional online survey conducted from 17 April to 25 June 2020.SettingThirty-eight countries from all continents of the world.ParticipantsA total of 37,206 adults (mean age:36.7, SD:14.8, 77% female) reporting alcohol purchasing and drinking habit before and during the pandemic.MeasurementsChanges in alcohol stock-up and frequency of alcohol use during the pandemic and increased alcohol stock-up and use were stratified by gender, age, education, household structure, working status, income loss, psychological distress, and country based on alcohol consumption per capita. The associations between increased alcohol stock-up/use and living with children, working from home, income loss and distress were examined using multivariate logistic regression, controlling for demographic factors.FindingsThe majority of respondents reported no change in their alcohol purchasing and drinking habits during the early pandemic period. Increased drinking was reported by 20.2% of respondents, while 17.6% reported decreased alcohol use. More than half (53.3%) of respondents experienced psychological distress, with one in five (20.7%) having severe distress. Female gender, being aged under 50, higher educational attainment, living with children, working from home, and psychological distress were all independently associated with increased alcohol drinking during lockdown. Limitations of the study were the non-representative sample, the data collection early in the pandemic, and the non-standard measurement of alcohol consumption.ConclusionIncreased psychological distress among people during the early pandemic period, resulted in increased alcohol consumption, especially among women with children working from home during lockdown.

In a follow-up to his September article, “Commercial Banks Aid Canada’s Housing Market,” Lead Analyst Samuel Kanda explores deeper issues with Canada’s real estate market.

Neighbourhood food environment exposures examined in models for take-home and out-of-home purchasing.

United States CCI: Plans to Buy Within 6 Mos: sa: Home: New data was reported at 0.500 % in Apr 2025. This stayed constant from the previous number of 0.500 % for Mar 2025. United States CCI: Plans to Buy Within 6 Mos: sa: Home: New data is updated monthly, averaging 0.900 % from Feb 1967 (Median) to Apr 2025, with 637 observations. The data reached an all-time high of 2.000 % in Jun 2020 and a record low of 0.100 % in Feb 2009. United States CCI: Plans to Buy Within 6 Mos: sa: Home: New data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H054: Consumer Confidence Index: Buying Plans & Intended Vacations. [COVID-19-IMPACT]

United States CCI: Plans to Buy Within 6 Mos: sa: Home: Lived In data was reported at 2.100 % in Apr 2025. This records a decrease from the previous number of 2.300 % for Mar 2025. United States CCI: Plans to Buy Within 6 Mos: sa: Home: Lived In data is updated monthly, averaging 1.700 % from Feb 1967 (Median) to Apr 2025, with 637 observations. The data reached an all-time high of 4.700 % in Feb 2021 and a record low of 0.600 % in Feb 1975. United States CCI: Plans to Buy Within 6 Mos: sa: Home: Lived In data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H054: Consumer Confidence Index: Buying Plans & Intended Vacations. [COVID-19-IMPACT]

Hardware and home improvement stores’ revenue is forecast to rise at a compound annual rate of 1.4% over the five years through 2024 to reach €155.8 billion. Private spending on home renovation and maintenance, construction activity, environmental awareness and the number of households each play their part in determining sales. The EU and the UK enjoyed a housing market boom prior to 2023, when soaring mortgage rates deterred many from buying a new house. While demand for outfitting new houses is down, more Europeans are turning to repair, maintenance and renovation work on their existing properties, helping to raise sales of hardware and home improvement products. This trend accelerated during the COVID-19 pandemic, as people confined to their homes looked to refresh their surroundings and found themselves with more time to dedicate to DIY projects. Hardware and home improvement stores were deemed by many governments as essential businesses, allowing them to remain open during the lockdowns. In 2024, revenue growth is expected to be constrained by the cost-of-living crisis. Shoppers are increasingly price-sensitive and many are thinking twice before spending in response to intense inflationary pressures, cutting sales for many hardware and home improvement stores. Price inflation is expected to outweigh falling sales volumes, leading to revenue growth of 1% in 2024. Over the five years through 2029, hardware and home improvement stores’ revenue is slated to climb at a compound annual rate of 1.5% to reach €168 billion. Ever-growing levels of environmental awareness among Europeans will drive strong demand for sustainably sourced and energy-efficient products, like reclaimed wood and lithium-ion battery-powered hand tools. Competition from online-only retailers will continue to heat up, forcing hardware and home improvement stores to expand their in-store offerings to attract customers – augmented reality stations where shoppers can visualise their new products in their homes are one way retailers can try to do this.

In a September 2020 survey among adults in the United States, over half of respondents said that their interest in buying a home had not changed due to the COVID-19 pandemic (** percent). However, Hispanic respondents were more likely to have changed their plans (** percent) compared to white respondents (** percent). In the United States, the 2020 homeownership rate reached **** percent.