100+ datasets found
  1. COVID-19 impact on small businesses in the U.S. as of April 2022

    • statista.com
    Updated May 14, 2020
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    Statista (2020). COVID-19 impact on small businesses in the U.S. as of April 2022 [Dataset]. https://www.statista.com/statistics/1220920/us-covid-19-impact-small-businesses/
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    Dataset updated
    May 14, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 11, 2022 - Apr 17, 2022
    Area covered
    United States
    Description

    During a April 2022 survey, 21.6 percent of surveyed small businesses in the United States claimed that the COVID-19 pandemic had a large negative effect on business. In comparison, only 1.7 percent of respondents said that the pandemic had a large positive effect on their business.

  2. Business Impact of COVID-19 Survey (BICS)

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated May 7, 2020
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    Office for National Statistics (2020). Business Impact of COVID-19 Survey (BICS) [Dataset]. https://cy.ons.gov.uk/economy/economicoutputandproductivity/output/datasets/businessimpactofcovid19surveybics
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    xlsxAvailable download formats
    Dataset updated
    May 7, 2020
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The indicators and analysis presented in this bulletin are based on responses from the new voluntary fortnightly business survey, which captures businesses responses on how their turnover, workforce prices, trade and business resilience have been affected in the two week reference period. These data relate to the period 6 April 2020 to 19 April 2020.

  3. Leading industries in the U.S. affected by COVID-19 by share of jobs at risk...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Leading industries in the U.S. affected by COVID-19 by share of jobs at risk 2020 [Dataset]. https://www.statista.com/statistics/1107272/covid-19-leading-industries-affected-share-jobs-us/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to a study in mid-March 2020, around **** percent of jobs in the leisure and hospitality industry in the United States are at risk from the global coronavirus pandemic (COVID-19). This amounts to around **** million jobs nationwide.

  4. Business Impact of COVID-19 Survey (BICS) results

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Nov 19, 2020
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    Office for National Statistics (2020). Business Impact of COVID-19 Survey (BICS) results [Dataset]. https://www.ons.gov.uk/economy/economicoutputandproductivity/output/datasets/businessimpactofcovid19surveybicsresults
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    xlsxAvailable download formats
    Dataset updated
    Nov 19, 2020
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This page is no longer updated. It has been superseded by the Business insights and impacts on the UK economy dataset page (see link in Notices). It contains comprehensive weighted datasets for Wave 7 onwards. All future BICS datasets will be available there. The datasets on this page include mainly unweighted responses from the voluntary fortnightly business survey, which captures businesses’ responses on how their turnover, workforce prices, trade and business resilience have been affected in the two-week reference period, up to Wave 17.

  5. Share of workers and businesses impacted by COVID-19 2020

    • statista.com
    • ai-chatbox.pro
    Updated Jul 9, 2025
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    Statista (2025). Share of workers and businesses impacted by COVID-19 2020 [Dataset]. https://www.statista.com/statistics/1104955/covid-19-economic-impact-workers-businesses-us/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 18, 2020 - Mar 24, 2020
    Area covered
    United States
    Description

    According to survey conducted in March 2020, only ** percent of respondents had seen sales decrease at their business or workplace due to the COVID-19 outbreak. The greatest impact so far has been the cancellation of meetings and conferences, with ** percent of respondents reporting this.

  6. Perceived impact of coronavirus (COVID-19) among Italian companies 2020, by...

    • statista.com
    Updated Mar 19, 2020
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    Statista (2020). Perceived impact of coronavirus (COVID-19) among Italian companies 2020, by sector [Dataset]. https://www.statista.com/statistics/1103017/perceived-impact-of-coronavirus-covid-19-among-italian-companies-by-sector/
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    Dataset updated
    Mar 19, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    Italy
    Description

    In a survey from March 2020, companies operating in the sector of accommodation and food services in Italy were those mostly perceiving the impact of the coronavirus (COVID-19). More specifically, roughly ** percent of enterprises of this sector affirmed that the outbreak of this epidemic had an influence on their business. Moreover, the second most affected sector was transportation and storage. Among companies operating in this industry, about ** percent affirmed that the coronavirus impacted their activities.

    Italy is one of the countries with the highest number of coronavirus cases worldwide. Currently, this virus has infected people in over 100 countries across six continents.

  7. Extent of various impacts experienced by businesses because of COVID-19, by...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Apr 29, 2020
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    Government of Canada, Statistics Canada (2020). Extent of various impacts experienced by businesses because of COVID-19, by business characteristics [Dataset]. http://doi.org/10.25318/3310022901-eng
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    Dataset updated
    Apr 29, 2020
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    The extent to which businesses have faced various challenges in their business operations because of COVID-19, by North American Industry Classification System (NAICS) code, business employment size, type of business and majority ownership.

  8. d

    COVID-19 - Businesses Requiring Proof of Vaccination - Historical

    • datasets.ai
    • data.cityofchicago.org
    • +1more
    23, 40, 55, 8
    Updated Aug 26, 2024
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    City of Chicago (2024). COVID-19 - Businesses Requiring Proof of Vaccination - Historical [Dataset]. https://datasets.ai/datasets/covid-19-businesses-requiring-proof-of-vaccination
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    55, 8, 40, 23Available download formats
    Dataset updated
    Aug 26, 2024
    Dataset authored and provided by
    City of Chicago
    Description

    NOTE: This program is no longer active. This dataset is only for historical reference.

    This directory contains businesses that have joined VAX CHI NATION, meaning they committed to ensuring that their staff and patrons are vaccinated. These businesses completed the City of Chicago self-certification.

  9. The Soaring and the Falling in 2020: How the COVID-19 Pandemic Has Changed...

    • bccresearch.com
    html, pdf, xlsx
    Updated Sep 17, 2020
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    BCC Research (2020). The Soaring and the Falling in 2020: How the COVID-19 Pandemic Has Changed the Business World [Dataset]. https://www.bccresearch.com/market-research/consumer/covid-19-panademic-50-top-profiting-and-hardest-hit-companies.html
    Explore at:
    xlsx, pdf, htmlAvailable download formats
    Dataset updated
    Sep 17, 2020
    Dataset authored and provided by
    BCC Research
    License

    https://www.bccresearch.com/aboutus/terms-conditionshttps://www.bccresearch.com/aboutus/terms-conditions

    Area covered
    World
    Description

    Prospering in the pandemic: 50 top and 50 hardest hit companies. The Soaring and the Falling in 2020: How the COVID 19 pandemic has changed the business world and how some are able to do well in this time.

  10. G

    Changes made by businesses to adapt to the COVID-19 pandemic, by business...

    • open.canada.ca
    • datasets.ai
    • +2more
    csv, html, xml
    Updated May 26, 2025
    + more versions
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    Statistics Canada (2025). Changes made by businesses to adapt to the COVID-19 pandemic, by business characteristics [Dataset]. https://open.canada.ca/data/en/dataset/433c6b1c-c10a-4265-bda7-df6030358ff0
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    csv, html, xmlAvailable download formats
    Dataset updated
    May 26, 2025
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Changes businesses have made to adapt to the COVID-19 pandemic, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership.

  11. COVID-19 Impact on TJX Companies

    • store.globaldata.com
    Updated May 29, 2020
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    GlobalData UK Ltd. (2020). COVID-19 Impact on TJX Companies [Dataset]. https://store.globaldata.com/report/coronavirus-covid-19-company-impact-tjx-companies/
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    Dataset updated
    May 29, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    Reliance on severely impacted regions will harm TJX in the short run, but its future prospects look brighter than most. Read More

  12. Impact of coronavirus (COVID-19) among Italian companies 2020

    • statista.com
    • ai-chatbox.pro
    Updated Jul 11, 2025
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    Statista (2025). Impact of coronavirus (COVID-19) among Italian companies 2020 [Dataset]. https://www.statista.com/statistics/1103028/impact-of-coronavirus-covid-19-on-revenues-of-italian-companies/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2020
    Area covered
    Italy
    Description

    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.

  13. The Pandemic’s Impact on Remote Work & Where We Go From Here [Report]

    • hubstaff.com
    Updated Aug 20, 2020
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    Hubstaff (2020). The Pandemic’s Impact on Remote Work & Where We Go From Here [Report] [Dataset]. https://hubstaff.com/blog/state-of-remote-work-after-pandemic/
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    Dataset updated
    Aug 20, 2020
    Dataset authored and provided by
    Hubstaffhttps://hubstaff.com/
    Time period covered
    Aug 2020
    Area covered
    United States
    Description

    The pandemic forced millions of people to change the way they work. Wherever possible, companies embraced remote work to keep their employees safe and their businesses open during shelter-in-place orders. Working remotely during a crisis is totally different, even for companies that were already distributed. Fear, stress, and distractions created a less-than-ideal work environment for the hundreds of thousands of people working from home for the first time.

  14. H

    Facebook Business Activity Trends during COVID19

    • data.humdata.org
    csv
    Updated Apr 25, 2025
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    AI and Data for Good at Meta (2025). Facebook Business Activity Trends during COVID19 [Dataset]. https://data.humdata.org/dataset/facebook-business-activity-trends-during-covid19
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    csv(311594658)Available download formats
    Dataset updated
    Apr 25, 2025
    Dataset provided by
    Metahttp://meta.com/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Business Activity Trends During COVID-19 uses the rate that businesses post on Facebook compared to pre-crisis levels to measure how crisis events are affecting different economic sectors each day.

    Learn more details here: https://dataforgood.facebook.com/dfg/tools/business-activity-trends and https://dataforgood.facebook.com/dfg/resources/business-activity-trends-methodology-paper

  15. Company Impact Report - Lodging: Analysis of the impact of COVID-19 for...

    • store.globaldata.com
    Updated Apr 30, 2020
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    GlobalData UK Ltd. (2020). Company Impact Report - Lodging: Analysis of the impact of COVID-19 for major lodging companies using the SWOT framework [Dataset]. https://store.globaldata.com/report/company-impact-report-lodging-analysis-of-the-impact-of-covid-19-for-major-lodging-companies-using-the-swot-framework/
    Explore at:
    Dataset updated
    Apr 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    COVID-19, commonly referred to as the Coronavirus, is dominating headlines the world over. The travel & tourism sector is suffering significant disruption and the lodging industry is very much impacted. Read More

  16. Joint closing data of the Covid19 investment and liquidity lines managed by...

    • data.europa.eu
    unknown
    Updated Jul 16, 2024
    + more versions
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    Instituto de Crédito Oficial (2024). Joint closing data of the Covid19 investment and liquidity lines managed by the Instituto de Crédito Oficial by sector of activity. [Dataset]. https://data.europa.eu/data/datasets/https-datos-gob-es-catalogo-ea0033670-datos-conjuntos-de-cierre-de-las-lineas-avales-covid19-inversion-y-liquidez-gestionados-por-el-instituto-de-credito-oficial-por-sectores-de-actividad?locale=en
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    unknown(1), unknown(8)Available download formats
    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Instituto de Crédito Oficial (ICO)
    Authors
    Instituto de Crédito Oficial
    License

    https://www.ico.es/web/guest/condiciones-de-uso-conjuntos-datos-abiertoshttps://www.ico.es/web/guest/condiciones-de-uso-conjuntos-datos-abiertos

    Description

    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.

  17. e

    COVID-19 exceptional measures: carryovers of contributions Urssaf...

    • data.europa.eu
    csv, json
    Updated Mar 6, 2025
    + more versions
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    (2025). COVID-19 exceptional measures: carryovers of contributions Urssaf (employers), whole France x sector NA88 [Dataset]. https://data.europa.eu/data/datasets/https-open-urssaf-fr-explore-dataset-mesures-exceptionnelles-covid-19-reports-france-entiere-x-secteur-na88-?locale=en
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 6, 2025
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    France
    Description

    Full France data by activity (according to the aggregated classification of 88 NAF posts) relating to the carryovers of contributions of employers affiliated to the general scheme in the context of the COVID-19 health crisis (dues from 15 March to 15 December 2020). Situations at the end of March to December 2020.

    In order to take into account the impact of the coronavirus outbreak on economic activity, the Urssaf network triggered exceptional measures to support companies with serious cash flow difficulties as of the deadline of 15 March. In the event of major difficulties, companies could postpone, first without prior request and then on request, all or part of the payment of employee and employer contributions.

    This dataset describes all the amounts carried over, regardless of whether they are part of a mechanism allowing the carry-over or not. The amounts of carry-overs therefore correspond to the “rests to be recovered”.

    The data are declined by payment deadline: the 5th or 15th of the month. Contributions must in principle be paid during the month following the period of paid employment:

    • no later than the 5th of that month for employers with at least 50 employees whose pay is paid in the same month as the period of work;

    • no later than the 15th of this month in other cases.

    Source: ACOSS-Urssaf, extraction early May 2021

    Indicators:

    • Number of institutions at maturity (*)
    • Amount of contributions due
    • Number of establishments that have carried over (*)
    • Amount of carryovers

    (*) WARNING: information on the number of establishments should be interpreted with caution. Indeed, as institutions are counted at each maturity, the selection of a period covering more than one month leads to the same institutions being counted several times (an institution is likely to report each month). Thus, in order to have the total number of institutions without double accounts, it is necessary to select two maturities of the same month.

    Methodological clarifications:

    • these data take into account the social contribution exemption and payment aid schemes introduced by Article 65 of Law No 2020-935 of 30 July 2020 to support the companies most affected by the crisis. The contributions due are indeed amounts after application of the exemptions. And carry-overs are amounts after the payment aid has been charged, which reduces the amounts to be paid by the undertakings concerned.
    • an institution is counted as deferred if the amount of contributions not paid at maturity exceeds EUR 44
    • the sector of activity “nca not elsewhere” includes the agricultural sector (AZ) for the general scheme (most of the AZ sector falls under the agricultural scheme, out of field here), extraterritorial activities (UZ) and unknown activities.

    DATAVIZ: putting in perspective

  18. e

    Text content of the Frequently Asked Questions “business info COVID19”

    • data.europa.eu
    json
    Updated Sep 1, 2024
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    Direction Générale des Entreprises (2024). Text content of the Frequently Asked Questions “business info COVID19” [Dataset]. https://data.europa.eu/88u/dataset/5ec3a046c9e9abed50d770a9
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    json(366118)Available download formats
    Dataset updated
    Sep 1, 2024
    Dataset authored and provided by
    Direction Générale des Entreprises
    License

    https://www.etalab.gouv.fr/licence-ouverte-open-licencehttps://www.etalab.gouv.fr/licence-ouverte-open-licence

    Description

    Frequently Asked Questions for Business in the COVID-19 Context

    This dataset contains the articles published on the Covid-19 FAQ for companies published by the Directorate-General for Enterprises at https://info-entreprises-covid19.economie.fr

    The data are presented in the JSON format as follows: JSON [ { “title”: “Example article for documentation”, “content”: [ this is the first page of the article. here the second, “‘div’these articles incorporate some HTML formatting‘/div’” ], “path”: [ “File to visit in the FAQ”, “to join the article”] }, ... ] “'” The update is done every day at 6:00 UTC. This data is extracted directly from the site, the source code of the script used to extract the data is available here: https://github.com/chrnin/docCovidDGE

  19. O

    COVID-19 Small Business Grant Awards

    • data.cambridgema.gov
    application/rdfxml +5
    Updated Jun 9, 2025
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    City of Cambridge, MA (2025). COVID-19 Small Business Grant Awards [Dataset]. https://data.cambridgema.gov/Economic-Development/COVID-19-Small-Business-Grant-Awards/dm97-fm73
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    csv, tsv, xml, application/rdfxml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    City of Cambridge, MA
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    Listing of recipients of several City of Cambridge COVID-19 grant and loan award programs. Data covers MDRF, CDBG-CARES Act, and ARPA funding.

    As of June 9, 2025, there are no future updates planned for this dataset.

  20. COVID-19: impact on tech companies' revenue and expenses worldwide 2020

    • statista.com
    Updated Jul 7, 2023
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    Statista (2023). COVID-19: impact on tech companies' revenue and expenses worldwide 2020 [Dataset]. https://www.statista.com/statistics/1181251/covid-impact-organizations-cashflow/
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    Dataset updated
    Jul 7, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 19, 2020 - May 26, 2020
    Area covered
    Worldwide
    Description

    In 2020, the COVID-19 pandemic has negatively impacted the revenue of tech companies worldwide, resulting in cost-cutting. Of respondents, 39 percent saw a reduction in expenses and 15 percent saw a large reduction in expenses these past few months. Accordingly, over half the respondents for both revenue and expenses saw some form of a reduction in these past few months since the beginning of the pandemic.

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Statista (2020). COVID-19 impact on small businesses in the U.S. as of April 2022 [Dataset]. https://www.statista.com/statistics/1220920/us-covid-19-impact-small-businesses/
Organization logo

COVID-19 impact on small businesses in the U.S. as of April 2022

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 14, 2020
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Apr 11, 2022 - Apr 17, 2022
Area covered
United States
Description

During a April 2022 survey, 21.6 percent of surveyed small businesses in the United States claimed that the COVID-19 pandemic had a large negative effect on business. In comparison, only 1.7 percent of respondents said that the pandemic had a large positive effect on their business.

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