On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit: World Health Organization (WHO)For more information, visit the Johns Hopkins Coronavirus Resource Center.COVID-19 Trends MethodologyOur goal is to analyze and present daily updates in the form of recent trends within countries, states, or counties during the COVID-19 global pandemic. The data we are analyzing is taken directly from the Johns Hopkins University Coronavirus COVID-19 Global Cases Dashboard, though we expect to be one day behind the dashboard’s live feeds to allow for quality assurance of the data.DOI: https://doi.org/10.6084/m9.figshare.125529863/7/2022 - Adjusted the rate of active cases calculation in the U.S. to reflect the rates of serious and severe cases due nearly completely dominant Omicron variant.6/24/2020 - Expanded Case Rates discussion to include fix on 6/23 for calculating active cases.6/22/2020 - Added Executive Summary and Subsequent Outbreaks sectionsRevisions on 6/10/2020 based on updated CDC reporting. This affects the estimate of active cases by revising the average duration of cases with hospital stays downward from 30 days to 25 days. The result shifted 76 U.S. counties out of Epidemic to Spreading trend and no change for national level trends.Methodology update on 6/2/2020: This sets the length of the tail of new cases to 6 to a maximum of 14 days, rather than 21 days as determined by the last 1/3 of cases. This was done to align trends and criteria for them with U.S. CDC guidance. The impact is areas transition into Controlled trend sooner for not bearing the burden of new case 15-21 days earlier.Correction on 6/1/2020Discussion of our assertion of an abundance of caution in assigning trends in rural counties added 5/7/2020. Revisions added on 4/30/2020 are highlighted.Revisions added on 4/23/2020 are highlighted.Executive SummaryCOVID-19 Trends is a methodology for characterizing the current trend for places during the COVID-19 global pandemic. Each day we assign one of five trends: Emergent, Spreading, Epidemic, Controlled, or End Stage to geographic areas to geographic areas based on the number of new cases, the number of active cases, the total population, and an algorithm (described below) that contextualize the most recent fourteen days with the overall COVID-19 case history. Currently we analyze the countries of the world and the U.S. Counties. The purpose is to give policymakers, citizens, and analysts a fact-based data driven sense for the direction each place is currently going. When a place has the initial cases, they are assigned Emergent, and if that place controls the rate of new cases, they can move directly to Controlled, and even to End Stage in a short time. However, if the reporting or measures to curtail spread are not adequate and significant numbers of new cases continue, they are assigned to Spreading, and in cases where the spread is clearly uncontrolled, Epidemic trend.We analyze the data reported by Johns Hopkins University to produce the trends, and we report the rates of cases, spikes of new cases, the number of days since the last reported case, and number of deaths. We also make adjustments to the assignments based on population so rural areas are not assigned trends based solely on case rates, which can be quite high relative to local populations.Two key factors are not consistently known or available and should be taken into consideration with the assigned trend. First is the amount of resources, e.g., hospital beds, physicians, etc.that are currently available in each area. Second is the number of recoveries, which are often not tested or reported. On the latter, we provide a probable number of active cases based on CDC guidance for the typical duration of mild to severe cases.Reasons for undertaking this work in March of 2020:The popular online maps and dashboards show counts of confirmed cases, deaths, and recoveries by country or administrative sub-region. Comparing the counts of one country to another can only provide a basis for comparison during the initial stages of the outbreak when counts were low and the number of local outbreaks in each country was low. By late March 2020, countries with small populations were being left out of the mainstream news because it was not easy to recognize they had high per capita rates of cases (Switzerland, Luxembourg, Iceland, etc.). Additionally, comparing countries that have had confirmed COVID-19 cases for high numbers of days to countries where the outbreak occurred recently is also a poor basis for comparison.The graphs of confirmed cases and daily increases in cases were fit into a standard size rectangle, though the Y-axis for one country had a maximum value of 50, and for another country 100,000, which potentially misled people interpreting the slope of the curve. Such misleading circumstances affected comparing large population countries to small population counties or countries with low numbers of cases to China which had a large count of cases in the early part of the outbreak. These challenges for interpreting and comparing these graphs represent work each reader must do based on their experience and ability. Thus, we felt it would be a service to attempt to automate the thought process experts would use when visually analyzing these graphs, particularly the most recent tail of the graph, and provide readers with an a resulting synthesis to characterize the state of the pandemic in that country, state, or county.The lack of reliable data for confirmed recoveries and therefore active cases. Merely subtracting deaths from total cases to arrive at this figure progressively loses accuracy after two weeks. The reason is 81% of cases recover after experiencing mild symptoms in 10 to 14 days. Severe cases are 14% and last 15-30 days (based on average days with symptoms of 11 when admitted to hospital plus 12 days median stay, and plus of one week to include a full range of severely affected people who recover). Critical cases are 5% and last 31-56 days. Sources:U.S. CDC. April 3, 2020 Interim Clinical Guidance for Management of Patients with Confirmed Coronavirus Disease (COVID-19). Accessed online. Initial older guidance was also obtained online. Additionally, many people who recover may not be tested, and many who are, may not be tracked due to privacy laws. Thus, the formula used to compute an estimate of active cases is: Active Cases = 100% of new cases in past 14 days + 19% from past 15-25 days + 5% from past 26-49 days - total deaths. On 3/17/2022, the U.S. calculation was adjusted to: Active Cases = 100% of new cases in past 14 days + 6% from past 15-25 days + 3% from past 26-49 days - total deaths. Sources: https://www.cdc.gov/mmwr/volumes/71/wr/mm7104e4.htm https://covid.cdc.gov/covid-data-tracker/#variant-proportions If a new variant arrives and appears to cause higher rates of serious cases, we will roll back this adjustment. We’ve never been inside a pandemic with the ability to learn of new cases as they are confirmed anywhere in the world. After reviewing epidemiological and pandemic scientific literature, three needs arose. We need to specify which portions of the pandemic lifecycle this map cover. The World Health Organization (WHO) specifies six phases. The source data for this map begins just after the beginning of Phase 5: human to human spread and encompasses Phase 6: pandemic phase. Phase six is only characterized in terms of pre- and post-peak. However, these two phases are after-the-fact analyses and cannot ascertained during the event. Instead, we describe (below) a series of five trends for Phase 6 of the COVID-19 pandemic.Choosing terms to describe the five trends was informed by the scientific literature, particularly the use of epidemic, which signifies uncontrolled spread. The five trends are: Emergent, Spreading, Epidemic, Controlled, and End Stage. Not every locale will experience all five, but all will experience at least three: emergent, controlled, and end stage.This layer presents the current trends for the COVID-19 pandemic by country (or appropriate level). There are five trends:Emergent: Early stages of outbreak. Spreading: Early stages and depending on an administrative area’s capacity, this may represent a manageable rate of spread. Epidemic: Uncontrolled spread. Controlled: Very low levels of new casesEnd Stage: No New cases These trends can be applied at several levels of administration: Local: Ex., City, District or County – a.k.a. Admin level 2State: Ex., State or Province – a.k.a. Admin level 1National: Country – a.k.a. Admin level 0Recommend that at least 100,000 persons be represented by a unit; granted this may not be possible, and then the case rate per 100,000 will become more important.Key Concepts and Basis for Methodology: 10 Total Cases minimum threshold: Empirically, there must be enough cases to constitute an outbreak. Ideally, this would be 5.0 per 100,000, but not every area has a population of 100,000 or more. Ten, or fewer, cases are also relatively less difficult to track and trace to sources. 21 Days of Cases minimum threshold: Empirically based on COVID-19 and would need to be adjusted for any other event. 21 days is also the minimum threshold for analyzing the “tail” of the new cases curve, providing seven cases as the basis for a likely trend (note that 21 days in the tail is preferred). This is the minimum needed to encompass the onset and duration of a normal case (5-7 days plus 10-14 days). Specifically, a median of 5.1 days incubation time, and 11.2 days for 97.5% of cases to incubate. This is also driven by pressure to understand trends and could easily be adjusted to 28 days. Source

On June 1, 2021, the number of trips planned by pedestrians and mobility services users in the city of New York was 45 percent of the 'usual activity' during the four weeks between January 6 and February 2, 2020. The change in mobility likely comes as a result of measures taken to curtail the COVID-19 pandemic. Many countries were forced to place extensive restrictions on travel in order to contain the virus. When restrictions were lifted, mobility began to rise among urbanites, and so did the number of new cases worldwide per day. When new waves of infections hit, several regions went back into lockdown. More information regarding the pandemic can be found here. How the pandemic affects remote work
Since the first lockdown between early and mid-2020, many states have adopted various approaches to curb the spread of the virus. Governments have eased or tightened restrictions, and curfews and localized lockdowns have come and gone. As a result, remote work has become a reality for many employees since the outbreak of the virus, with almost two out of three employers stating that some share of their workforce will remain permanently remote post coronavirus. People commuting via public transport during the pandemic have generally represented, for the most part, essential workers. How the pandemic affects public transport
There is no doubt that people are more reluctant to risk their health by using public transport. Whoever can, works remotely or uses individual modes of travel. Survey respondents in the United States overwhelmingly named their own car as the preferred choice of personal mobility during the pandemic and thereafter. In Europe, the pandemic has resulted in a significant drop in revenue for mobility services for 2020, as demand for flights, buses, trains, and ridesharing has plummeted considerably. Mobility at transit stations in both regions slumped in March 2020.

As of January 1, 2025, Rome (Lazio) was the Italian province which registered the highest number of coronavirus (COVID-19) cases in the country. Milan (Lombardy) came second in this ranking, while Naples (Campania) and Turin (Piedmont) followed. These four areas are also the four most populated provinces in Italy. The region of Lombardy was the mostly hit by the spread of the virus, recording almost one sixth of all coronavirus cases in the country. The provinces of Milan and Brescia accounted for a large part of this figure. For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

ABSTRACT The covid-19 pandemic revealed the virtues and deficiencies of the city of São Paulo in facing one of the most extreme events of the 21st century. On the one hand, the robustness of science in São Paulo helped to face the pandemic, advising on health issues on the disease front. On the other hand, deficiencies in past public policies took their toll, revealing the most perverse face of inequality in the city, its vulnerability to extreme events. In this work, we describe a theory of cities, comparing their functioning to that of an ecosystem. We created the term urbsystem, comprising a Primary and a Secondary Urban Subsystem. The primary, analogous to that of an ecosystem, places the city as a processor of materials and a producer of waste, using water and energy for both activities. The Secondary Urban System contains the main services offered by the city - education, security, communication, transportation etc. The deficiencies in the functioning of these elements characterize inequality, since their efficiency varies depending on the region. We then propose a mechanism to operate the generation of public policies consisting of three elements: Science, Aspirations and Politics. Arranged in the form of the vertices of a triangle, solutions and problems float in a “primordial soup”, generating sets of problems-solutions that can be added to political agendas and thus generate public policies that are more likely to be right. In the light of these ideas, we point out that one of the main deficiencies revealed during the pandemic was the lack of connection between the vertices of Science and Aspirations, and the vertex of Politics. We conclude that the most affected sectors will be education, healthcare, tourism and the subsystems of commerce and finance.

On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.This map is updated weekly and currently shows data through March 5, 2023, which will be the final update of this map.Note: Nebraska stopped reporting county level-results on 5/25/2021 and re-started on 9/26/21 with a lump-sum representing the previous four months - this impacted the weekly sum of cases fields.It shows COVID-19 Trend for the most recent Monday with a colored dot for each county. The larger the dot, the longer the county has had this trend. Includes Puerto Rico, Guam, Northern Marianas, U.S. Virgin Islands.The intent of this map is to give more context than just the current day of new data because daily data for COVID-19 cases is volatile and can be unreliable on the day it is first reported. Weekly summaries in the counts of new cases smooth out this volatility. Click or tap on a county to see a history of trend changes and a weekly graph of new cases going back to February 8, 2020. This map is updated every Monday* based on data through the previous Sunday. See also this version of the map for another perspective.COVID-19 Trends show how each county is doing and are updated daily. We base the trend assignment on the number of new cases in the past two weeks and the number of active cases per 100,000 people. To learn the details for how trends are assigned, see the full methodology. There are five trends:Emergent - New cases for the first time or in counties that have had zero new cases for 60 or more days.Spreading - Low to moderate rates of new cases each day. Likely controlled by local policies and individuals taking measures such as wearing masks and curtailing unnecessary activities.Epidemic - Accelerating and uncontrolled rates of new cases.Controlled - Very low rates of new cases.End Stage - One or fewer new cases every 5 days in larger populations and fewer in rural areas.*Starting 8/22/2021 we began updating on Mondays instead of Tuesdays as a result of optimizing the scripts that produce the weekly analysis. For more information about COVID-19 trends, see the full methodology. Data Source: Johns Hopkins University CSSE US Cases by County dashboard and USAFacts for Utah County level Data.

After entering Italy, the coronavirus (COVID-19) spread fast. The strict lockdown implemented by the government during the Spring 2020 helped to slow down the outbreak. However, the country had to face four new harsh waves of contagion. As of January 1, 2025, the total number of cases reported by the authorities reached over 26.9 million. The north of the country was mostly hit, and the region with the highest number of cases was Lombardy, which registered almost 4.4 million of them. The north-eastern region of Veneto and the southern region of Campania followed in the list. When adjusting these figures for the population size of each region, however, the picture changed, with the region of Veneto being the area where the virus had the highest relative incidence. Coronavirus in Italy Italy has been among the countries most impacted by the coronavirus outbreak. Moreover, the number of deaths due to coronavirus recorded in Italy is significantly high, making it one of the countries with the highest fatality rates worldwide, especially in the first stages of the pandemic. In particular, a very high mortality rate was recorded among patients aged 80 years or older. Impact on the economy The lockdown imposed during the Spring 2020, and other measures taken in the following months to contain the pandemic, forced many businesses to shut their doors and caused industrial production to slow down significantly. As a result, consumption fell, with the sectors most severely hit being hospitality and tourism, air transport, and automotive. Several predictions about the evolution of the global economy were published at the beginning of the pandemic, based on different scenarios about the development of the pandemic. According to the official results, it appeared that the coronavirus outbreak had caused Italy’s GDP to shrink by approximately nine percent in 2020.

** Problem Statement:**

 Usually the hotel prices these days are very high during the year due to the Ramadan season, but this year we have COVID-19. We want to know how COVID-19 affects hotel prices, and Is there a relationship between the services provided and the prices?

** Dataset Description:**

This data has been scraping from booking website in KSA and it is contain the important features for The hotel. Hotel_name The Description of the hotel name price The price of hotels in SR 'saudi riyal' Are The distance from the center is in meters and kilometers| Review people rate the hotel based on the price,proximity to the center and services provided facilities Most popular facilities. checklist_facilities services that are provided for a particular purpose. U hotel link

In 2023, London was the leading European city tourism destination based on the number of bed nights. That year, bed nights in the United Kingdom's capital exceeded 78 million, denoting a sharp annual increase but not fully recovering yet from the impact of COVID-19. Meanwhile, Paris and Istanbul followed in the ranking in 2023, with roughly 52 million and nearly 30 million bed nights. What are the most visited countries in Europe? While the French capital came in second among leading European cities based on bed nights, France topped the ranking of the European countries with the highest number of inbound tourist arrivals in 2023, ahead of Spain, Italy, and Turkey. Meanwhile, when looking at European countries with the highest tourism receipts that year, Spain recorded the highest figure, with over 90 billion U.S. dollars, followed by the United Kingdom. How many international tourists visit Europe every year? In 2023, the number of international tourist arrivals in Europe grew significantly over the previous year, totaling over 700 million. This figure, however, remained below pre-pandemic levels. Overall, either before and after the impact of COVID-19, Europe was the region with the highest number of international tourist arrivals worldwide.

The data collection consists of 40 qualitative interviews with Polish migrant essential workers living in the UK and 10 in-depth expert interviews with key stakeholders providing information and support to migrant workers in the UK. All migrant interviews are in Polish. Six of the expert interviews with key stakeholders are in English and four are in Polish. Fieldwork was conducted fully online during the Covid-19 pandemic between March and August 2021, following the third UK-wide Covid-19 lockdown. Restrictions were still in place in some localities. Interviews took place shortly after the end of the transition period concluding the UK’s European Union exit on 1 January 2021. All Polish migrant worker interviewees entered the UK before 1 January 2021 and had the option to apply to the EU Settlement Scheme.

The objectives of the qualitative fieldwork were to: 1. To synthesise empirical and theoretical knowledge on the short- and long-term impacts of COVID-19 on migrant essential workers. 2. To establish how the pandemic affected Polish migrant essential worker's lives; and expert interviews with stakeholders in the public and third/voluntary sector to investigate how to best support and retain migrant essential workers in COVID-19 recovery strategies. The project also involved: - co-producing policy outputs with partner organisations in England and Scotland; and - an online survey to measure how Polish migrant essential workers across different roles and sectors were impacted by COVID-19 in regard to health, social, economic and cultural aspects, and intentions to stay in the UK/return to Poland (deposited separately to University of Sheffield). Key findings included significant new knowledge about the health, social, economic and cultural impacts of Covid-19 on migrant essential workers. Polish essential workers were severely impacted by the pandemic with major mental health impacts. Mental health support was insufficient throughout the UK. Those seeking support typically turned to private (online) services from Poland as they felt they could not access them in the UK because of language or cultural barriers, lack of understanding of the healthcare system and pathways to mental health support, support being offered during working hours only, or fear of the negative impact of using mental health services on work opportunities. Some participants were in extreme financial hardship, especially those with pre-settled status or those who arrived in the UK during the pandemic. The reasons for financial strain varied but there were strong patterns linked to increased pressure at work, greater exposure to Covid-19 as well as redundancies, pay cuts and rejected benefit applications. There was a tendency to avoid applying for state financial support. These impacts were compounded by the sense of isolation, helplessness, or long-distance grief due to inability to visit loved ones in Poland. Covid-19 impacted most detrimentally on women with caring responsibilities, single parents and people in the health and teaching sectors. The most vulnerable Polish migrant essential workers - e.g. those on lower income, with pre-existing health conditions, restricted access to support and limited English proficiency - were at most risk. Discrimination was reported, including not feeling treated equally in the workplace. The sense of discrimination two-fold: as essential workers (low-paid, low-status, unsafe jobs) and as Eastern Europeans (frequent disciplining practices, treated as threat, assumed to be less qualified). In terms of future plans, some essential workers intended to leave the UK or were unsure about their future place of residence. Brexit was a major reason for uncertain settlement plans. Vaccine hesitancy was identified, based on doubts about vaccination, especially amongst younger respondents who perceived low risks of Covid-19 for their own health, including women of childbearing age, who may have worries over unknown vaccine side-effects for fertility. Interview participants largely turned to Polish language sources for vaccination information, especially social media, and family and friends in Poland. This promoted the spread of misinformation as Poland has a strong anti-vaccination movement.

COVID-19 has exposed the UK's socio-economic dependence on a chronically insecure migrant essential workforce. While risking their lives to offset the devastating effects of the pandemic, migrant workers reportedly find themselves in precarious professional and personal circumstances (temporary zero-hours contracts, work exploitation, overcrowded accommodation, limited access to adequate health/social services including Universal Credit). This project will investigate the health, social, economic and cultural impacts of COVID-19 on the migrant essential workforce and how these might impact on their continued stay in the UK. It will focus on the largest non-British nationality in the UK, the Polish community, who - while employed across a range of roles and sectors - are overrepresented in lower-paid essential work. We will use this group as an illustrative case study to make wider claims and policy recommendations about migrant work during the pandemic. Using a mixed-methods approach, we will conduct: an online survey to map COVID-19 impacts; in-depth qualitative interviews to establish how the pandemic has affected worker's lives; and expert interviews with stakeholders to investigate how to best support and retain migrant essential workers in COVID-19 recovery strategies. The results will generate the first comprehensive UK-wide dataset on the experiences of migrant essential workers against the backdrop of COVID-19. The research, co-produced with partner organisations (Polish Expats Associations, Fife Migrants Forum, PKAVS Minority Communities Hub and Polish Social and Cultural Association), will generate a policy briefing, a toolkit for employers in the essential work sectors, information resources for migrant workers, alongside media and academic outputs.

In 2022, the tourism industry contributed around **** percent to Thailand's GDP, which increased from the previous year. In that same period, the total value of Thailand's GDP was almost ************ billion U.S. dollars. ​ Thailand's tourism industry has been heavily affected by the COVID-19 pandemic. However, it is currently recovering after the government relaxed COVID-19 regulations and promoted tourism. The economic contribution of travel and tourism in Thailand Thailand is recognized as one of the most popular tourist destinations worldwide. ​Travel and tourism play a significant role in supporting Thailand's economy. In 2022, these industries' contribution to the country’s GDP reached over one trillion Thai baht. Thailand's tourism industry also provided nearly ***** million jobs in the country, ranking fifth in terms of the highest number of people employed in the tourism industry in the Asia-Pacific region in 2022. Inbound tourism in Thailand Thailand's economy relies heavily on international tourism. The tourist economy of the country has been recovering steadily since the country allowed international tourist arrivals again in 2022. In 2023, Thailand welcomed around ** million international tourists, which was more than double the previous year. ​In that same year, the total revenue generated by international tourist arrivals in the country reached more than one hundred billion Thai baht on a nearly monthly basis, giving the country a total revenue of over one trillion Thai baht for the entire year.

Istanbul was the leading destination in Turkey based on the volume of international tourist arrivals in 2023 and 2024. Overall, inbound travelers in that city totaled over **** million in 2024, more than in the previous year. Antalya was the second-leading tourist destination, with around **** million inbound arrivals. Istanbul does not lose its popularity Istanbul has been an attractive destination with plenty of sights, including mosques, churches, museums, palaces, and the Bosphorus Strait, which connects two large continents, Europe and Asia. This city, which has hosted different civilizations and cultures for centuries, has welcomed millions of foreign and local visitors for years. The number of foreign tourist arrivals in the largest city in Turkey has increased since 2020, when it dropped due to the coronavirus (COVID-19) pandemic. In line with the high inflation in the country, accommodation prices in Istanbul have generally been increasing. As of October 2023, the average cost for an overnight stay in the city was *** euros. Domestic tourism is falling back Although international tourism in Turkey has been recovering from the coronavirus (COVID-19) pandemic and its limitations, domestic tourism has fallen behind. Factors such as high inflation, price increases, and the soaring cost of living in the country have also affected local tourism. In 2023, the number of domestic trips was about ** percent less compared to the peak figures in 2018. In relation to this, the number of overnight stays of domestic travelers has been generally following a negative trend in the last few years. Local tourists recorded roughly *** million nights at accommodations in 2023, still below the pre-pandemic levels.

As per Cognitive Market Research's latest published report, the Global Sleeping Bags market size was $1.63 Billion in 2022 and it is forecasted to reach $2.58 Billion by 2030. Sleeping Bags Industry's Compound Annual Growth Rate will be 5.9% from 2023 to 2030. What is Driving Sleeping Bags Market?

Increasing interest in outdoor recreation and adventure tourism

With growing disposable income and awareness about traveling primarily drives the interest in outdoor recreation and adventure tourism worldwide in every age group. Many people are recognizing the positive impact that spending time in nature can have on their physical and mental health. Research has shown that outdoor activities like hiking, camping, and trekking can reduce stress, improve mood, and increase physical fitness. In addition, with the rise of the internet and social media, it has become easier for people to access information about outdoor recreation and adventure travel. This has made it easier for people to plan and prepare for outdoor activities and to discover new destinations. Many tourism-based countries are taking initiatives to support tourism industry through infrastructure development and various services. For instance, on July 2022, Nepali government has announced action plan to revive the tourism industry battered by the COVID-19 pandemic, including a plan to declare the years between 2023 and 2033 as Visit Nepal Decade.

Convenience and benefits of sleeping bag

There are various benefits of sleeping bags that increases the convenience of outdoor activities. For instance, while trekking, carrying blankets and other sleeping stuff can be very difficult due to weight and size. However, sleeping bags are lightweight and easy to pack, making them a convenient option for outdoor activities like camping, hiking, and backpacking. In addition, sleeping bags are designed to provide insulation, which helps to keep you warm in cold weather conditions. Sleeping bags can be easily cleaned and disinfected, which makes them a more hygienic option than using hotel or hostel bedding.

Restraining Factor:

Growing substitute market

Growing popularity of camping tent and recreation vehicles can be a factor that might affect the growth of the sleeping bag market. Social media has also played a key role in the popularity of camping, as people are sharing their outdoor experiences on platforms like Instagram, which has encouraged others to try it themselves. In addition, rental recreation vehicle services coupled with rising disposable income has seen significant growth in recent years which drives its demand. These vehicle manufacturers are offering a wider range of customization options to meet the unique needs and preferences of buyers which affect the sleeping bag demand negatively.

Market Opportunity:

Online Sales Channels

Online sales channels have had a significant impact on the sleeping bag market, as they offer several benefits to both consumers and manufacturers. Online sales channels provide an opportunity for manufacturers to reach a wider audience, including customers in remote locations. In addition, convenience of ordering the product with available review and product details provide customer a good purchasing experience.

Market Trend:

Growing trend of solo-traveller

The trend of solo travel has been growing steadily in recent years, particularly among millennials and Gen Z. Along with this trend, earning money through traveling by making informative videos, and digital content has become a trending career option these days. Availability of smart phone and high internet penetration drives the digital content sector. The easy availability of information encourages individual to travel on their own. Therefore, growing trend of solo traveller expected to create opportunities to sleeping bag market.

Impact of COVID-19 pandemic on Sleeping Bags Market:

The COVID-19 pandemic has had a significant impact on the sleeping bags market, both positive and negative. In COVID-19 pandemic, many outdoor activities were restricted. Focus on healthcare emergency and economic uncertainty have had negative impact on sleeping bag market. In addition, disruption in supply chain also affect the manufacturing of sleeping bag, which drop the sleeping bag market. However, pandemic make realised many about travelling and exploring in nature that have positive...

Overnight tourist arrivals in Dubrovnik, Croatia, increased at a fast pace throughout the 2010s, surpassing *** million in 2019. The outbreak of the coronavirus (COVID-19), however, brought a halt to this trend, reducing tourism in the city to just *********visitors in 2020 before figures began to increase again, standing at *** million visitors in 2023. These figures do not include the large number of excursionists and cruise passengers who typically enter the city during the peak season. Coping with Dubrovnik’s popularity For many years, the city of Dubrovnik has been a leading destination in the Mediterranean. As in many of Europe’s most prominent tourist cities, however, increasing visitor numbers led to problems with overtourism, to the point that UNESCO warned that Dubrovnik’s world heritage status was at risk. To cope with the limited capacity and resources, the city launched plans in 2017 to make tourism more sustainable, including limiting the number of cruise ships calling at the port and the number of visitors entering the city. Tourism across Croatia As in Dubrovnik, there was a growing number of international tourist arrivals throughout Croatia before the pandemic hit. The country has various coastal cities on the Adriatic Sea that are also popular tourist destinations. The Dalmatia region, where Dubrovnik is based, covers much of the coastline of Croatia and includes the city of Split. The Istrian peninsula in the north, where the city of Pula is based, is also popular. According to Croatia’s national tourist board, the capital Zagreb was the most visited city in Croatia.