According to a survey conducted in February 2022, around *** percent of small to medium-sized companies in Japan foresaw a likelihood of discontinuation of their business activities due to the impact of the coronavirus (COVID-19) outbreak. By comparison, about *** percent of large business enterprises reported the potential closing down.

During an online survey, *** percent of surveyed small businesses in the United States said they had temporarily closed a location due to the COVID-19 pandemic during the week ending April 17, 2022. Another *** percent of respondents said that they had opened a previously closed location during the same week.

Due to the impact of the coronavirus (COVID-19) pandemic, several companies of the tourism industry in Italy could face the risk of closing down permanently in 2020. According to the estimates, over ** thousand restaurants and bars are expected to be at risk of shutting down definitely during the year. Moreover, about *** thousand businesses in the accommodations sector are forecasted to probably close down in 2020.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

According to a survey conducted in January 2021, close to ** percent of companies in Tokyo Prefecture implemented remote work for employees after the outbreak of coronavirus disease (COVID-19) in Japan. In Tottori, the country's least populous prefecture, only **** percent of surveyed businesses had implemented work from home as of January.

Nearly seven entrepreneurs out of 10 plan to reduce their employment due to the outbreak of coronavirus in Poland. And every second company in the next two months expects to lay off between 20 and 50 percent of its staff. Almost every company in Poland feels the effects of the pandemic on its businesses, and every second company assessed the situation as very serious. Nearly 70 percent of a company may close down its operations if it does not receive support from the state.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

According to a survey conducted from July to September 2020, almost ** percent of private enterprises in Japan stated that their information technology (IT) investments aimed at reducing costs slightly increased during the coronavirus (COVID-19) pandemic. The share of companies that stated that their investments in this regard slightly decreased stood at close to ** percent.

As of August 2020, a total of ***** publicly listed companies in Japan modified their financial statements from their initial announcements due to the impact of the pandemic of coronavirus (COVID-19). The total revised value amounted to around **** trillion Japanese yen for sales revenue and close to **** trillion yen for net profit.

In Sweden, the COVID-19 pandemic had the most negative effect on the construction sector, according to the surveyed companies. Three quarters of the companies in this sector responded that the pandemic had a negative impact on their business. On the other hand, almost ********** of the companies in retail and trade said that COVID-19 had a positive impact on their business. In total, a little less than 50 percent responded that the pandemic had a negative effect on their business.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

According to a survey conducted from July to September 2020, close to ** percent of private enterprises in Japan stated that their information technology (IT) investments aimed at business continuity planning (BCP) slightly increased during the coronavirus (COVID-19) pandemic. The share of companies that stated that their investments in this regard slightly decreased stood at *** percent.

Between the results of the survey from March and those from April 2020, the percentage of companies in Italy that affirmed that they did not perceive any negative impact due to the coronavirus decreased consistently. At the beginning of March, they amount to **** percent of the panel, whereas in April 2020, this figure dropped to *** percent. On the other hand, the share of companies that stated to expected a severe slowdown in April was equal to **** percent, a significant increase compared to the results from March. However, **** percent of enterprises expected the damage caused by outbreak of this pandemic to be manageable.

In a 2020 survey, ** percent of surveyed people in the U.S. revealed that they somewhat approve the work done by airline companies to tackle the spread of the novel coronavirus (COVID-19). Due to the COVID-19 outbreak, airline companies receive the first and highest damage as more and more countries close their borders for international travel.

Before the coronavirus (COVID-19) pandemic, 17 percent of U.S. employees worked from home 5 days or more per week, a share that increased to 44 percent during the pandemic. The outbreak of the COVID-19 pandemic accelerated the remote working trend, as quarantines and lockdowns made commuting and working in an office close to impossible for millions around the world. Remote work, also called telework or working from home (WFH), provided a solution, with employees performing their roles away from the office supported by specialized technology, eliminating the commute to an office to remain connected with colleagues and clients. What enables working from home?

To enable remote work, employees rely on a remote work arrangements that enable hybrid work and make it safe during the COVID-19 pandemic. Technology supporting remote work including laptops saw a surge in demand, video conferencing companies such as Zoom jumped in value, and employers had to consider new communication techniques and resources. Is remote work the future of work?

The response to COVID-19 has demonstrated that hybrid work models are not necessarily an impediment to productivity. For this reason, there is a general consensus that different remote work models will persist post-COVID-19. Many employers see benefits to flexible working arrangements, including positive results on employee wellness surveys, and potentially reducing office space. Many employees also plan on working from home more often, with 25 percent of respondents to a recent survey expecting remote work as a benefit of employment. As a result, it is of utmost importance to acknowledge any issues that may arise in this context to empower a hybrid workforce and ensure a smooth transition to more flexible work models.

This file shows the closing data of the Covid19 Liquidity line of guarantees according to the type of company that requested them. It provides information on the number of operations, the number of companies, the amount of the guarantee requested and the total amount of financing that these guarantees have made possible. These totals are broken down by type of recipient, with the following categories: Self-employed and SMEs (Self-employed, Micro-SMEs and SMEs) and Non-SMEs.

The aim of the special survey of the GESIS panel on the outbreak of the corona virus SARS-CoV-2 in Germany was to collect timely data on the effects of the corona crisis on people´s daily lives. The study focused on questions of risk perception, risk minimization measures, evaluation of political measures and their compliance, trust in politics and institutions, changed employment situation, childcare obligations, and media consumption. Due to the need for timely data collection, only the GESIS panel sub-sample of online respondents was invited (about three quarters of the sample). Since, due to time constraints, respondents could only participate in the online survey but not by mail, the results cannot be easily transferred to the overall population. Further longitudinal surveys on Covid-19 with the entire sample of the GESIS panel are planned for 2020.

Topics: Risk perception: Probability of events related to corona infection in the next two months (self, infection of a person from close social surrondings, hospital treatment, quarantine measures regardless of whether infected or not, infecting other people)

Risk minimization: risk minimization measures taken in the last seven days (avoided certain (busy) places, kept minimum distance to other people, adapted school or work situation, quarantine due to symptoms or without symptoms, washed hands more often, used disinfectant, stocks increased, reduced social interactions, worn face mask, other, none of these measures).

Evaluation of the effectiveness of various policy measures to combat the further spread of corona virus (closure of day-care centres, kindergartens and schools, closure of sports facilities, closure of bars, cafés and restaurants, closure of all shops except supermarkets and pharmacies, ban on visiting hospitals, nursing homes and old people´s homes, curfew for persons aged 70 and over or people with health problems or for anyone not working in the health sector or other critical professions (except for basic purchases and urgent medical care).

Curfew compliance or refusal: Willingness to obey a curfew vs. refusal; reasons for the compliance with curfew (social duty, fear of punishment, protection against infection, fear of infecting others (loved ones, infecting others in general, a risk group); reasons for refusal of curfew (restrictions too drastic or not justified, other obligations, does not stop the spread, not affected by the outbreak, boring at home, will not be punished).

Evaluation of the effectiveness of various government measures (medical care, restrictions on social life such as closure of public facilities and businesses, reduction of economic damage, communication with the population).

Trust in politics and institutions with regard to dealing with the coronavirus (physician, local health authority, local and municipal administration, Robert Koch Institute (RKI), Federal Government, German Chancellor, Ministry of Health, World Health Organization (WHO), scientists).

Changed employment situation: employment status at the beginning of March; change in occupational situation since the spread of coronavirus: dependent employees: number of hours reduced, number of hours increased, more home office, leave of absence with/ without continued wage payment , fired, no change; self-employed: working hours reduced, working hours increased, more home office, revenue decreased, revenue increased, company temporarily closed by the authorities, company temporarily voluntarily closed, financial hardship, company permanently closed or insolvent, no change.

Childcare: children under 12 in the household; organisation of childcare during the closure of day-care centres, kindergartens and schools (staying at home, partner stays at home, older siblings take care, grandparents are watching, etc.)

Media consumption on Corona: information sources used for Corona (e.g. nationwide public or private television or radio, local public or private television or radio, national newspapers or local newspapers, Facebook, other social media, personal conversations with friends and family, other, do not inform myself on the subject); frequency of Facebook usage; information about Corona obtained from regional Facebook page or regional Facebook group.

Demography: sex; age (categorized); education (categorized); intention to vote and choice of party (Sunday question); Left-right self-assessment; marital status; size of household.

Additionally coded: Respondent ID;...

As of October 2025, the tech startup with the largest wave of layoffs from March 2020 was Amazon, with 30,000 employees laid off on October 27, 2025. Furthermore, Intel announced a layoff of 22,000 employees on April 23, 2025. Layoffs in the technology industry Overall, layoffs across all industries began in 2020 due to the outbreak of the coronavirus (COVID-19) pandemic, with tech layoffs increasing in 2022. In the first quarter of 2023 alone, more than 167 thousand employees had been fired worldwide, a record number of job cuts in a single quarter and more than all of the layoffs announced in 2022 combined, marking a harsh start to 2023 for the tech sector. From retail to finance and education, all sectors are suffering from this widespread downsizing. However, retail tech startups were hit the most, with almost 29 thousand layoffs announced as of September 2023. Most job losses happened in the United States, where tech giants like Amazon, Meta, and Google are based. Reasons behind increasing tech layoffs Layoffs in the technology sector started with the COVID-19 pandemic in 2020 when entire cities were in lockdown and mobility was restricted. Although restrictions loosened up in 2021, events such as the Russia-Ukraine war, the downturn in Chinese production, and rising inflation had a significant impact on the tech industry and continue to represent major concerns for tech companies. As a consequence, companies across the world have yet to overcome all economic challenges, examples of which are rising material and labor costs, as well as decreasing profit margins. To address such difficulties, tech companies have appointed business plans. For instance, in the United States, tech firms planned to focus more on consumer retention, automating software, and cutting operating expenses.

The COVID Tracking Project collects information from 50 US states, the District of Columbia, and 5 other US territories to provide the most comprehensive testing data we can collect for the novel coronavirus, SARS-CoV-2. We attempt to include positive and negative results, pending tests, and total people tested for each state or district currently reporting that data.

Testing is a crucial part of any public health response, and sharing test data is essential to understanding this outbreak. The CDC is currently not publishing complete testing data, so we’re doing our best to collect it from each state and provide it to the public. The information is patchy and inconsistent, so we’re being transparent about what we find and how we handle it—the spreadsheet includes our live comments about changing data and how we’re working with incomplete information.

From here, you can also learn about our methodology, see who makes this, and find out what information states provide and how we handle it.

BackgroundThe COVID-19 pandemic and the first lockdown were particularly stressful with a major economic impact, but the impact on stress of company directors was not known. Therefore, this study aimed to assess that impact and the characteristics of companies the most at risk.MethodA online questionnaire was sent to 13,114 company. It assessed stress at work, number of employees, sector of activity, business activity rate and geographical location. It studied the mean stress levels, the percentage of stress > 8/10 and carried out an analysis of the characteristics of the most at-risk companies.ResultsA total of 807 company directors responded. Their stress levels increased by 25.9% during lockdown and 28.7% of them had a stress > 8/10. Sectors which had the biggest increase in stress levels during lockdown were retail trade, wholesale trade, and nursing homes. Sectors the most at risk of stress >8/10 during lockdown tended to be nursing homes, pharmacies, and IT activities. Biggest companies had the highest increase in stress levels.ConclusionThe first lockdown of the COVID-19 pandemic had a major impact on the stress of company directors. Directors of large companies were the most exposed to stress as well as medical and IT activities.

The COVID 19 Guarantee Lines have mobilized financing for companies in all the Autonomous Communities. This file shows the closing data of the Covid19 Guarantee Lines including the two modalities Investment Guarantees and Liquidity Guarantees with their distribution by Autonomous Community. It provides information on the number of operations, the number of companies that have requested guarantees, the amount of the guarantee requested and the total amount of financing that these guarantees have made possible in each of the provinces of Spain's Autonomous Communities.

The Covid19 Lines of Guarantees have mobilized financing for companies in all sectors of activity. The sectoral distribution data show that the companies in the sectors most affected by COVID-19 have received the most guaranteed financing, which has enabled them to cover their liquidity needs and maintain their activity. This file shows the closing data of the Covid19 Guarantee lines including the two modalities Investment Guarantees and Liquidity Guarantees by sector of activity. It provides information on the number of operations, the number of companies that have requested guarantees, the amount of the guarantee requested and the total amount of financing that these guarantees have made possible, broken down by the different sectors of activity.

Relationship between board-level characteristics and contextual COVID-related negative disclosure.