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...

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.

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.

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]

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.

Indonesia House Purchase/Construction Plan in the Next 12 Months: Number Desire data was reported at 71.665 % in Mar 2025. This records a decrease from the previous number of 71.858 % for Feb 2025. Indonesia House Purchase/Construction Plan in the Next 12 Months: Number Desire data is updated monthly, averaging 67.197 % from Jan 2017 (Median) to Mar 2025, with 77 observations. The data reached an all-time high of 78.410 % in Oct 2022 and a record low of 62.234 % in Dec 2017. Indonesia House Purchase/Construction Plan in the Next 12 Months: Number Desire data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Domestic Trade and Household Survey – Table ID.HA007: Consumer Confidence Index: Respondent's First Choice Type of Investments in the Next 12 Months. [COVID-19-IMPACT]

Indonesia House Purchase/Construction Plan in the Next 12 Months: Very Possible data was reported at 4.834 % in Mar 2025. This records an increase from the previous number of 3.781 % for Feb 2025. Indonesia House Purchase/Construction Plan in the Next 12 Months: Very Possible data is updated monthly, averaging 5.671 % from Jan 2017 (Median) to Mar 2025, with 77 observations. The data reached an all-time high of 7.849 % in Feb 2018 and a record low of 2.840 % in Apr 2022. Indonesia House Purchase/Construction Plan in the Next 12 Months: Very Possible data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Domestic Trade and Household Survey – Table ID.HA007: Consumer Confidence Index: Respondent's First Choice Type of Investments in the Next 12 Months. [COVID-19-IMPACT]

Context

Covid-19 Data collected from various sources on the internet. This dataset has daily level information on the number of affected cases, deaths, and recovery from the 2019 novel coronavirus. Please note that this is time-series data and so the number of cases on any given day is the cumulative number.

Content

The dataset includes 28 files scrapped from various data sources mainly the John Hopkins GitHub repository, the ministry of health affairs India, worldometer, and Our World in Data website. The details of the files are as follows

• countries-aggregated.csv A simple and cleaned data with 5 columns with self-explanatory names. -covid-19-daily-tests-vs-daily-new-confirmed-cases-per-million.csv A time-series data of daily test conducted v/s daily new confirmed case per million. Entity column represents Country name while code represents ISO code of the country. -covid-contact-tracing.csv Data depicting government policies adopted in case of contact tracing. 0 -> No tracing, 1-> limited tracing, 2-> Comprehensive tracing. -covid-stringency-index.csv The nine metrics used to calculate the Stringency Index are school closures; workplace closures; cancellation of public events; restrictions on public gatherings; closures of public transport; stay-at-home requirements; public information campaigns; restrictions on internal movements; and international travel controls. The index on any given day is calculated as the mean score of the nine metrics, each taking a value between 0 and 100. A higher score indicates a stricter response (i.e. 100 = strictest response). -covid-vaccination-doses-per-capita.csv A total number of vaccination doses administered per 100 people in the total population. This is counted as a single dose, and may not equal the total number of people vaccinated, depending on the specific dose regime (e.g. people receive multiple doses). -covid-vaccine-willingness-and-people-vaccinated-by-country.csv Survey who have not received a COVID vaccine and who are willing vs. unwilling vs. uncertain if they would get a vaccine this week if it was available to them. -covid_india.csv India specific data containing the total number of active cases, recovered and deaths statewide. -cumulative-deaths-and-cases-covid-19.csv A cumulative data containing death and daily confirmed cases in the world. -current-covid-patients-hospital.csv Time series data containing a count of covid patients hospitalized in a country -daily-tests-per-thousand-people-smoothed-7-day.csv Daily test conducted per 1000 people in a running week average. -face-covering-policies-covid.csv Countries are grouped into five categories: 1->No policy 2->Recommended 3->Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible 4->Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible 5->Required outside the home at all times regardless of location or presence of other people -full-list-cumulative-total-tests-per-thousand-map.csv Full list of total tests conducted per 1000 people. -income-support-covid.csv Income support captures if the government is covering the salaries or providing direct cash payments, universal basic income, or similar, of people who lose their jobs or cannot work. 0->No income support, 1->covers less than 50% of lost salary, 2-> covers more than 50% of the lost salary. -internal-movement-covid.csv Showing government policies in restricting internal movements. Ranges from 0 to 2 where 2 represents the strictest. -international-travel-covid.csv Showing government policies in restricting international movements. Ranges from 0 to 2 where 2 represents the strictest. -people-fully-vaccinated-covid.csv Contains the count of fully vaccinated people in different countries. -people-vaccinated-covid.csv Contains the total count of vaccinated people in different countries. -positive-rate-daily-smoothed.csv Contains the positivity rate of various countries in a week running average. -public-gathering-rules-covid.csv Restrictions are given based on the size of public gatherings as follows: 0->No restrictions 1 ->Restrictions on very large gatherings (the limit is above 1000 people) 2 -> gatherings between 100-1000 people 3 -> gatherings between 10-100 people 4 -> gatherings of less than 10 people -school-closures-covid.csv School closure during Covid. -share-people-fully-vaccinated-covid.csv Share of people that are fully vaccinated. -stay-at-home-covid.csv Countries are grouped into four categories: 0->No measures 1->Recommended not to leave the house 2->Required to not leave the house with exceptions for daily exercise, grocery shopping, and ‘essent...

According to Cognitive Market Research, the global Residential Real Estate market size was USD 32651.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.50% 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 13060.64 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 9795.48 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 7509.87 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1632.58 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.9% 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 653.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.2% from 2024 to 2031.
The single-family homes category is the fastest growing segment of the Residential Real Estate industry

Market Dynamics of Residential Real Estate Market

Key Drivers for Residential Real Estate Market

Increasing population drives housing demand to Boost Market Growth

Increasing population drives housing demand by creating a need for more residential spaces to accommodate growing numbers of people. As population rises, particularly in urban and suburban areas, demand for housing expands, fueling the residential real estate market. This is especially evident in countries experiencing rapid urbanization, where people move to cities seeking better job opportunities, education, and lifestyle options, further increasing housing needs. Additionally, population growth often correlates with the formation of new households, such as young families or individuals moving out on their own, intensifying the demand for housing units. In response, developers and investors are motivated to build more residential properties, ranging from single-family homes to multifamily units, contributing to market growth and driving real estate values upward. For instance, The Ashwin Sheth Group aims to broaden its residential and commercial offerings in the Mumbai Metropolitan Region (MMR) of India.

Rising incomes and economic stability to Drive Market Growth

Rising incomes and economic stability drive the residential real estate market by boosting consumers’ purchasing power and confidence in long-term investments like homeownership. As incomes increase, people can afford larger down payments, qualify for higher loan amounts, and manage mortgage payments more comfortably, making home buying a more viable option. Economic stability, characterized by low unemployment rates and steady GDP growth, reinforces this confidence, as individuals feel secure in their financial situations. With greater disposable income, many consumers seek to upgrade to larger homes, buy second properties, or invest in luxury real estate, further fueling demand. This economic backdrop attracts both local and foreign investors, leading to more housing developments, increased property values, and a flourishing residential real estate market.

Restraint Factor for the Residential Real Estate Market

High Property Prices will Limit Market Growth

High property prices restrain the residential real estate market by making homeownership unaffordable for a significant portion of the population. As prices rise, potential buyers, particularly first-time homeowners and low- to middle-income families, may find it challenging to secure adequate financing or meet the necessary down payment requirements. This affordability crisis limits the pool of qualified buyers, leading to slower sales and potential stagnation in market growth. Additionally, high property prices can prompt increased demand for rental properties, shifting focus away from home purchases. In markets where prices escalate rapidly, even affluent buyers may hesitate, fearing potential market corrections. Consequently, elevated property values can create a barrier to entry, ultimately restricting the overall health and vibrancy of the residential real estate market.

Impact of Covid-19 on the Residential Real Estate Market

The COVI...

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.

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]

Several urban landscape planning solutions have been introduced around the world to find a balance between developing urban spaces, maintaining and restoring biodiversity, and enhancing quality of human life. Our global mini-review, combined with analysis of big data collected from Google Trends at global scale, reveals the importance of enjoying day-to-day contact with nature and engaging in such activities as nature observation and identification and gardening for the mental well-being of humans during the COVID-19 pandemic. Home-based activities, such as watching birds from one’s window, identifying species of plants and animals, backyard gardening, and collecting information about nature for citizen science projects, were popular during the first lockdown in spring 2020, when people could not easily venture out of their homes. In our mini-review, we found 37 articles from 28 countries with a total sample of 114,466 people. These papers suggest that home-based engagement with nature was an entertaining and pleasant distraction that helped preserve mental well-being during a challenging time. According to Google Trends, interest in such activities increased during lockdown compared to the previous five years. Millions of people worldwide are chronically or temporarily confined to their homes and neighborhoods because of illness, childcare chores, or elderly care responsibility, which makes it difficult for them to travel far to visit such places as national parks, created through land sparing, where people go to enjoy nature and relieve stress. This article posits that for such people, living in an urban landscape designed to facilitate effortless contact with small natural areas is a more effective way to receive the mental health benefits of contact with nature than visiting a sprawling nature park on rare occasions. Methods 1. Identifying the most common types of activities related to nature observation, gardening, and taxa identification during the first lockdown based on scientific articles and non-scientific press For scientific articles, in March 2023 we searched Scopus and Google Scholar. For countries where Google is restricted, such as China, similar results will be available from other scientific browsers, with the highest number of results from our database being available from Scopus. We used the Google Search browser to search for globally published non-scientific press articles. Some selection criteria were applied during article review. Specifically, we excluded articles that were not about the first lockdown; did not study activities at a local scale (from balcony, window, backyard) but rather in areas far away from home (e.g., visiting forests); studied the mental health effect of observing indoor potted plants and pet animals; or transiently mentioned the topic or keyword without going into any scientific detail. We included all papers that met our criteria, that is, studies that analyzed our chosen topic with experiments or planned observations. We included all research papers, but not letters that made claims without any data. Google Scholar automatically screened the title, abstract, keywords, and the whole text of each article for the keywords we entered. All articles that met our criteria were read and double-checked for keywords and content related to the keywords (e.g., synonyms or if they presented content about the relevant topic without using the specific keywords). We identified, from both types of articles, the major nature-based activities that people engaged in during the first lockdown in the spring of 2020. Keywords used in this study were grouped into six main topics: (1) COVID-19 pandemic; (2) nature-oriented activity focused on nature observation, identification of different taxa, or gardening; (3) mental well-being; (4) activities performed from a balcony, window, or in gardens; (5) entertainment; and (6) citizen science (see Table 1 for all keywords). 2. Increase in global trends in interest in nature observation, gardening, and taxa identification during the first lockdown We used the categorical cluster method, which was combined with big data from Google Trends (downloaded on 1 September 2020) and anomaly detection to identify trend anomalies globally in peoples’ interests. We used this combination of methods to examine whether interest in nature-based activities that were mentioned in scientific and nonscientific press articles increased during the first lockdown. Keywords linked with the main types of nature-oriented activities, as identified from press and scientific articles, and used according to the categorical clustering method were classified into the following six main categories: (1) global interest in bird-watching and bird identification combined with citizen science; (2) global interest in plant identification and gardening combined with citizen science; (3) global interest in butterfly watching, (4) local interest in early-spring (lockdown time), summer, or autumn flowering species that usually can be found in Central European (country: Poland) backyards; (5) global interest in traveling and social activities; and (6) global interest in nature areas and activities typically enjoyed during holidays and thus requiring traveling to land-spared nature reserves. The six categories were divided into 15 subcategories so that we could attach relevant words or phrases belonging to the same cluster and typically related to the activity (according to Google Trends and Google browser’s automatic suggestions; e.g., people who searched for “bird-watching” typically also searched for “binoculars,” “bird feeder,” “bird nest,” and “birdhouse”). The subcategories and keywords used for data collection about trends in society’s interest in the studied topic from Google Trends are as follows.

Bird-watching: “binoculars,” “bird feeder,” “bird nest,” “birdhouse,” “bird-watching”; Bird identification: “bird app,” “bird identification,” “bird identification app,” “bird identifier,” “bird song app”; Bird-watching combined with citizen science: “bird guide,” “bird identification,” “eBird,” “feeding birds,” “iNaturalist”; Citizen science and bird-watching apps: “BirdNET,” “BirdSong ID,” “eBird,” “iNaturalist,” “Merlin Bird ID”; Gardening: “gardening,” “planting,” “seedling,” “seeds,” “soil”; Shopping for gardening: “garden shop,” “plant buy,” “plant ebay,” “plant sell,” “plant shop”; Plant identification apps: “FlowerChecker,” “LeafSnap,” “NatureGate,” “Plantifier,” “PlantSnap”; Citizen science and plant identification: “iNaturalist,” “plant app,” “plant check,” “plant identification app,” “plant identifier”; Flowers that were flowering in gardens during lockdown in Poland: “fiołek” (viola), “koniczyna” (shamrock), “mlecz” (dandelion), “pierwiosnek” (primose), “stokrotka” (daisy). They are typical early-spring flowers growing in the gardens in Central Europe. We had to be more specific in this search because there are no plant species blooming across the world at the same time. These plant species have well-known biology; thus, we could easily interpret these results; Flowers that were not flowering during lockdown in Poland: “chaber” (cornflower), “mak” (poppy), “nawłoć” (goldenrod), “róża” (rose), “rumianek” (chamomile). They are typical mid-summer flowering plants often planted in gardens; Interest in traveling long distances and in social activities that involve many people: “airport,” “bus,” “café,” “driving,” “pub”; Single or mass commuting, and traveling: “bike,” “boat,” “car,” “flight,” “train”; Interest in distant places and activities for visiting natural areas: “forest,” “nature park,” “safari,” “trekking,” “trip”; Places and activities for holidays (typically located far away): “coral reef,” “rainforest,” “safari,” “savanna,” “snorkeling”; Butterfly watching: “butterfly watching,” “butterfly identification,” “butterfly app,” “butterfly net,” “butterfly guide”;

In Google Trends, we set the following filters: global search, dates: July 2016–July 2020; language: English.

Mouse Hideout House Market Outlook

According to our latest research, the global Mouse Hideout House market size reached USD 1.21 billion in 2024, reflecting a robust demand for innovative and comfortable pet accessories worldwide. The market is registering a healthy CAGR of 5.8% and is projected to achieve a value of USD 2.04 billion by 2033. This growth is primarily driven by increasing pet ownership rates, rising awareness regarding pet welfare, and a strong trend toward pet humanization, which encourages consumers to invest in premium and customized pet products. The Mouse Hideout House market is also benefiting from advancements in product design, materials, and distribution channels, especially the surge in e-commerce and specialty retailing.

One of the key growth factors for the Mouse Hideout House market is the global rise in pet adoption and ownership, especially among millennials and urban populations. As more individuals and families embrace rodents such as mice as household pets, the demand for specialized accessories that enhance their well-being and comfort is growing. Mouse hideout houses, designed to provide a safe and stimulating environment for pet mice, are increasingly seen as essential rather than optional. This trend is further amplified by the growing influence of social media and online communities, where pet owners share experiences and recommendations, thus driving awareness and adoption of quality mouse hideout houses. Manufacturers are also capitalizing on this trend by offering a wide variety of aesthetically pleasing and functional products tailored to diverse consumer preferences.

Another significant driver is the innovation in materials and design within the Mouse Hideout House market. Consumers are now more conscious of the quality, safety, and sustainability of products they purchase for their pets. As a result, there is a marked shift toward eco-friendly, non-toxic, and durable materials such as untreated wood, BPA-free plastics, and organic fabrics. These developments are not only enhancing the appeal of mouse hideout houses but also addressing the growing demand for sustainable and ethical pet products. Additionally, manufacturers are incorporating modular designs, easy-to-clean features, and customizable options, which further increase the utility and attractiveness of these products. The integration of technology, such as smart sensors for monitoring pet activity, is also emerging as a niche but promising trend in the premium segment of the market.

The expansion of distribution channels, particularly the growth of online retail, is another critical factor fueling the Mouse Hideout House market. E-commerce platforms and specialized pet product websites offer consumers unparalleled convenience, product variety, and access to customer reviews, which significantly influence purchasing decisions. This shift is particularly pronounced in developed markets where digital literacy and internet penetration are high. Furthermore, the COVID-19 pandemic accelerated the adoption of online shopping, a trend that persists as consumers continue to prioritize safety and convenience. Offline channels, including pet stores and specialty retailers, remain important for customers who prefer to physically inspect products or seek expert advice. The synergy between online and offline channels is creating a more dynamic and competitive marketplace, encouraging brands to innovate and differentiate their offerings.

In addition to hideouts, the nutritional needs of pet mice are gaining attention, with Mouse Food becoming a significant aspect of pet care. A balanced diet is crucial for the health and well-being of mice, and the market for specialized mouse food is expanding alongside the demand for hideout houses. Pet owners are increasingly seeking high-quality, nutritious options that cater to the specific dietary requirements of their small companions. This trend is driven by a growing awareness of the importance of diet in preventing common health issues and enhancing the lifespan of pet mice. As a result, manufacturers are innovating with fortified and organic mouse food products, offering a variety of flavors and formulations to meet diverse consumer preferences. The integration of dietary supplements and natural ingredients is also becoming popular, reflecting a broader trend toward holistic pet care.

From a regional

The global market for COVID-19 antigen test kits experienced significant growth during the pandemic and continues to evolve. While precise figures for market size and CAGR aren't provided, considering the widespread adoption and ongoing need for rapid testing, a reasonable estimate for the 2025 market size could be placed between $5 and $8 billion USD, given the scale of previous pandemic-related medical supply markets. A conservative Compound Annual Growth Rate (CAGR) for the forecast period (2025-2033) might be projected at 5-8%, driven by factors such as the ongoing need for surveillance testing, the emergence of new variants, and the potential for future pandemics. Market drivers include the need for rapid and accessible diagnostic tools, increasing government initiatives for disease control, and the rising prevalence of at-home testing. Key trends include the development of more sensitive and user-friendly kits, integration with digital platforms for results reporting, and the growing demand for point-of-care testing. However, market restraints include the fluctuating demand linked to pandemic severity and the emergence of alternative diagnostic methods. The market segmentation reveals high demand across all sensitivity levels (Very High, High, and Acceptable), and both Government and Individual purchases represent substantial revenue streams. The competitive landscape is intensely active, with numerous established players and emerging companies vying for market share across diverse geographic regions. The continued evolution of viral pathogens and ongoing public health concerns suggest that demand for antigen tests will persist for the foreseeable future, although at a potentially moderated pace compared to peak pandemic levels. The regional market is geographically diverse, with North America and Europe historically being leading markets for medical diagnostic technologies. However, Asia-Pacific is demonstrating increasing market strength due to its large populations and expanding healthcare infrastructure. The growth within individual regions will be influenced by factors such as healthcare spending, regulatory landscapes, and the prevalence of COVID-19 within each specific market. Companies are adapting to shifting demands and evolving regulatory requirements through innovative product development and strategic partnerships, focusing on improving diagnostic accuracy, usability and efficiency while continually optimizing cost-effectiveness.

Home Valuation Analytics Market Outlook

As per our latest research, the global home valuation analytics market size reached USD 4.8 billion in 2024 and is expected to grow at a CAGR of 11.2% during the forecast period, reaching USD 12.8 billion by 2033. This robust growth is primarily driven by the increasing adoption of data-driven decision-making in the real estate sector and the rising demand for accurate and real-time property valuation solutions. The market is experiencing a significant transformation as stakeholders across the real estate value chain seek analytical tools to enhance transparency, reduce risks, and optimize transaction efficiency.

One of the primary growth factors for the home valuation analytics market is the rapid digitalization of the real estate industry. As property transactions become increasingly complex and competitive, both buyers and sellers are turning to advanced analytics to gain deeper insights into market trends, property values, and risk factors. The proliferation of big data, artificial intelligence, and machine learning technologies has enabled the development of sophisticated valuation models that can process vast amounts of data from multiple sources, including historical sales, market trends, neighborhood analytics, and economic indicators. These innovations significantly enhance the accuracy and reliability of home valuations, making them indispensable for real estate agencies, financial institutions, and government bodies. Additionally, the integration of home valuation analytics with online property portals and mortgage platforms is streamlining the home buying and selling process, further propelling market growth.

Another key driver is the growing need for regulatory compliance and risk mitigation in property financing and investment. Financial institutions, such as banks and mortgage lenders, are under increasing pressure to adhere to stringent regulatory frameworks governing property appraisals and loan approvals. Home valuation analytics solutions offer automated, standardized, and auditable valuation processes, reducing the risk of human error and fraud. These solutions also facilitate portfolio management and risk assessment, allowing institutions to make more informed lending decisions and minimize exposure to market volatility. The trend towards remote property assessments, accelerated by the COVID-19 pandemic, has further underscored the value of digital valuation tools in maintaining business continuity and operational efficiency.

Moreover, the rise of smart cities and urbanization is fueling demand for home valuation analytics in both developed and emerging markets. Governments and urban planners are leveraging these tools to assess property values, plan infrastructure investments, and implement property tax policies. The ability to analyze real-time data on property usage, neighborhood developments, and demographic changes is proving invaluable for policy formulation and resource allocation. As urban populations continue to grow, the need for scalable, automated, and transparent valuation solutions will only intensify, creating new opportunities for market expansion across residential, commercial, and industrial segments.

Regionally, North America currently leads the home valuation analytics market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The United States, in particular, benefits from a mature real estate market, high digital adoption rates, and a strong presence of leading analytics providers. Europe is witnessing steady growth driven by regulatory harmonization and increased cross-border real estate investments. Meanwhile, Asia Pacific is emerging as a high-growth region, supported by rapid urbanization, rising property investments, and government initiatives to modernize land administration systems. Latin America and the Middle East & Africa are also showing promise, albeit from a lower base, as digital infrastructure improves and real estate markets mature.

Component Analysis

The home valuation analytics market by component is segmented into software and services, each playing a pivotal role in the ecosystem. The software segment, which includes valuation platforms, data visualization tools, and AI-driven modeling engines, holds the largest share of the market. These solutions enable users to automate complex valuation processes, generate real-time insights, and integrate data from diverse sources

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.