100+ datasets found
  1. Estimated value of investment plans in U.S. companies affected by COVID in...

    • statista.com
    Updated Dec 20, 2023
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    Wenyi Zhang (2023). Estimated value of investment plans in U.S. companies affected by COVID in China 2022 [Dataset]. https://www.statista.com/topics/5898/novel-coronavirus-covid-19-in-china/
    Explore at:
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Wenyi Zhang
    Area covered
    China
    Description

    In a survey among U.S. companies operating in China conducted in June 2022, about 17 percent of respondents stated that due to China's COVID-19 control measures, the estimated value of paused, delayed, or canceled investment plans exceeded 50 million U.S. dollars. 27 percent of surveyed U.S. companies said that their investment value affected by COVID-19 was between 10 and 25 million U.S. dollars.

  2. Expected frequency of WFH post-coronavirus pandemic in China 2021

    • statista.com
    Updated Dec 20, 2023
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    Xin Ou (2023). Expected frequency of WFH post-coronavirus pandemic in China 2021 [Dataset]. https://www.statista.com/topics/5898/novel-coronavirus-covid-19-in-china/
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    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Xin Ou
    Area covered
    China
    Description

    The outbreak of the coronavirus COVID-19 pandemic has caused huge impacts on Chinese people's daily life. According to a survey among Chinese conducted between February and March in 2021, around 27 percent of respondents expected that they would never work in the home office after the pandemic. Meanwhile, approximately 11 percent of respondents expected to work from home at least three days a week in post coronavirus times.

  3. COVID-19 control measures' impact on U.S. companies' business plans in China...

    • statista.com
    Updated Dec 20, 2023
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    Wenyi Zhang (2023). COVID-19 control measures' impact on U.S. companies' business plans in China 2022 [Dataset]. https://www.statista.com/topics/5898/novel-coronavirus-covid-19-in-china/
    Explore at:
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Wenyi Zhang
    Area covered
    China
    Description

    In a survey conducted in June 2022 among U.S. companies operating in China, more than half of respondents stated that the country's strict COVID-19 control measures impacted their business or investment plans. About a quarter of all companies surveyed claimed that their plans remained unaffected.

  4. H

    World COVID-19 Daily Cases with Basemap

    • dataverse.harvard.edu
    Updated Feb 20, 2024
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    Spatial Data Lab (2024). World COVID-19 Daily Cases with Basemap [Dataset]. http://doi.org/10.7910/DVN/L20LOT
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 20, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Spatial Data Lab
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    World
    Dataset funded by
    NSF
    Description

    Updated to May 13, 2021. World COVID-19 daily cases with basemap, starting from January 22, 2020.

  5. COVID control measures' impact on German companies in China 2022

    • statista.com
    Updated Dec 20, 2023
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    Wenyi Zhang (2023). COVID control measures' impact on German companies in China 2022 [Dataset]. https://www.statista.com/topics/5898/novel-coronavirus-covid-19-in-china/
    Explore at:
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Wenyi Zhang
    Area covered
    China
    Description

    In a survey among German companies operating in China conducted in August and September 2022, about 90 percent of respondents stated that their business turnovers in China were impacted by the country's strict COVID-19 control measures. However, almost half of all companies surveyed reported no impact of the Zero-COVID policy on employment.

  6. C

    China CN: COVID-19: No of Death: Hubei: True Up

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: COVID-19: No of Death: Hubei: True Up [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-death/cn-covid19-no-of-death-hubei-true-up
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Feb 13, 2020 - Apr 16, 2020
    Area covered
    China
    Description

    COVID-19: Number of Death: Hubei: True Up data was reported at 1,290.000 Person in 16 Apr 2020. This records an increase from the previous number of 1.000 Person for 05 Apr 2020. COVID-19: Number of Death: Hubei: True Up data is updated daily, averaging 1.000 Person from Feb 2020 (Median) to 16 Apr 2020, with 3 observations. The data reached an all-time high of 1,290.000 Person in 16 Apr 2020 and a record low of -108.000 Person in 13 Feb 2020. COVID-19: Number of Death: Hubei: True Up data remains active status in CEIC and is reported by National Health Commission. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GZ: COVID-19: No of Death.

  7. f

    COVID-19 Case Reports in China

    • figshare.com
    txt
    Updated Jan 29, 2022
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    Xiao Fan Liu; Xiao-Ke Xu; Ye Wu (2022). COVID-19 Case Reports in China [Dataset]. http://doi.org/10.6084/m9.figshare.12656165.v35
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jan 29, 2022
    Dataset provided by
    figshare
    Authors
    Xiao Fan Liu; Xiao-Ke Xu; Ye Wu
    License

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

    Area covered
    China
    Description

    Chinese prefectural level governments started to report daily confirmed COVID-19 cases online, starting from January 2020. The disclosures may contain the mobility, potential exposure scenario, epidemiological characteristics, and other useful information of individual cases. We organized a group of content coders since early March 2020, kept monitoring the information updates, manually extracted useful information from the public disclosures, and compiled these datasets.We welcome any form of collaborations with us and non-commercial reuse of our dataset. We highly encourage interested parties to examine the data, report errors in our coding, and help us to keep the data updated.The detailed data description can be found on SSRN preprint server https://dx.doi.org/10.2139/ssrn.3705815.

  8. Novel Covid-19 Dataset

    • kaggle.com
    Updated Sep 18, 2025
    + more versions
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    GHOST5612 (2025). Novel Covid-19 Dataset [Dataset]. https://www.kaggle.com/datasets/ghost5612/novel-covid-19-dataset
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 18, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    GHOST5612
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Context:

    From World Health Organization - On 31 December 2019, WHO was alerted to several cases of pneumonia in Wuhan City, Hubei Province of China. The virus did not match any other known virus. This raised concern because when a virus is new, we do not know how it affects people.

    So daily level information on the affected people can give some interesting insights when it is made available to the broader data science community.

    Johns Hopkins University has made an excellent dashboard using the affected cases data. Data is extracted from the google sheets associated and made available here.

    Edited:

    Now data is available as csv files in the Johns Hopkins Github repository. Please refer to the github repository for the Terms of Use details. Uploading it here for using it in Kaggle kernels and getting insights from the broader DS community.

    Content

    2019 Novel Coronavirus (2019-nCoV) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread. However, a growing number of patients reportedly have not had exposure to animal markets, indicating person-to-person spread is occurring. At this time, it’s unclear how easily or sustainably this virus is spreading between people - CDC

    This dataset has daily level information on the number of affected cases, deaths and recovery from 2019 novel coronavirus. Please note that this is a time series data and so the number of cases on any given day is the cumulative number.

    The data is available from 22 Jan, 2020.

    Here’s a polished version suitable for a professional Kaggle dataset description:

    Dataset Description

    This dataset contains time-series and case-level records of the COVID-19 pandemic. The primary file is covid_19_data.csv, with supporting files for earlier records and individual-level line list data.

    Files and Columns

    1. covid_19_data.csv (Main File)

    This is the primary dataset and contains aggregated COVID-19 statistics by location and date.

    • Sno – Serial number of the record
    • ObservationDate – Date of the observation (MM/DD/YYYY)
    • Province/State – Province or state of the observation (may be missing for some entries)
    • Country/Region – Country of the observation
    • Last Update – Timestamp (UTC) when the record was last updated (not standardized, requires cleaning before use)
    • Confirmed – Cumulative number of confirmed cases on that date
    • Deaths – Cumulative number of deaths on that date
    • Recovered – Cumulative number of recoveries on that date

    2. 2019_ncov_data.csv (Legacy File)

    This file contains earlier COVID-19 records. It is no longer updated and is provided only for historical reference. For current analysis, please use covid_19_data.csv.

    3. COVID_open_line_list_data.csv

    This file provides individual-level case information, obtained from an open data source. It includes patient demographics, travel history, and case outcomes.

    4. COVID19_line_list_data.csv

    Another individual-level case dataset, also obtained from public sources, with detailed patient-level information useful for micro-level epidemiological analysis.

    ✅ Use covid_19_data.csv for up-to-date aggregated global trends.

    ✅ Use the line list datasets for detailed, individual-level case analysis.

    Country level datasets:

    If you are interested in knowing country level data, please refer to the following Kaggle datasets:

    India - https://www.kaggle.com/sudalairajkumar/covid19-in-india

    South Korea - https://www.kaggle.com/kimjihoo/coronavirusdataset

    Italy - https://www.kaggle.com/sudalairajkumar/covid19-in-italy

    Brazil - https://www.kaggle.com/unanimad/corona-virus-brazil

    USA - https://www.kaggle.com/sudalairajkumar/covid19-in-usa

    Switzerland - https://www.kaggle.com/daenuprobst/covid19-cases-switzerland

    Indonesia - https://www.kaggle.com/ardisragen/indonesia-coronavirus-cases

    Acknowledgements :

    Johns Hopkins University for making the data available for educational and academic research purposes

    MoBS lab - https://www.mobs-lab.org/2019ncov.html

    World Health Organization (WHO): https://www.who.int/

    DXY.cn. Pneumonia. 2020. http://3g.dxy.cn/newh5/view/pneumonia.

    BNO News: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/

    National Health Commission of the People’s Republic of China (NHC): http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml

    China CDC (CCDC): http://weekly.chinacdc.cn/news/TrackingtheEpidemic.htm

    Hong Kong Department of Health: https://www.chp.gov.hk/en/features/102465.html

    Macau Government: https://www.ssm.gov.mo/portal/

    Taiwan CDC: https://sites.google....

  9. COVID control measures' impact on U.S. companies in China 2022

    • statista.com
    Updated Dec 20, 2023
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    Wenyi Zhang (2023). COVID control measures' impact on U.S. companies in China 2022 [Dataset]. https://www.statista.com/topics/5898/novel-coronavirus-covid-19-in-china/
    Explore at:
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Wenyi Zhang
    Area covered
    China
    Description

    In a survey among U.S. companies operating in China conducted in June 2022, about 96 percent of respondents stated that their businesses in China were either severely or moderately impacted by the country's strict COVID-19 control measures. Only four percent of all companies surveyed reported negligible impacts of the Zero-COVID policy on their operations.

  10. C

    China CN: COVID-19: Confirmed Case

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: COVID-19: Confirmed Case [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-patient/cn-covid19-confirmed-case
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 28, 2022 - Jan 8, 2023
    Area covered
    China
    Description

    China COVID-19: Confirmed Case data was reported at 118,147.000 Person in 08 Jan 2023. This records an increase from the previous number of 104,874.000 Person for 07 Jan 2023. China COVID-19: Confirmed Case data is updated daily, averaging 978.500 Person from Feb 2020 (Median) to 08 Jan 2023, with 1068 observations. The data reached an all-time high of 118,147.000 Person in 08 Jan 2023 and a record low of 55.000 Person in 09 Jun 2020. China COVID-19: Confirmed Case data remains active status in CEIC and is reported by National Health Commission. The data is categorized under High Frequency Database’s Disease Outbreaks – Table CN.GZ: COVID-19: No of Patient.

  11. COVID-19 Vaccination Survey, July 2021 - China

    • microdata.unhcr.org
    Updated Oct 3, 2021
    + more versions
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    UNHCR (2021). COVID-19 Vaccination Survey, July 2021 - China [Dataset]. https://microdata.unhcr.org/index.php/catalog/518
    Explore at:
    Dataset updated
    Oct 3, 2021
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    UNHCR
    Time period covered
    2021
    Area covered
    China
    Description

    Abstract

    The COVID-19 Vaccination Survey in China was conducted in July 2021 to understand refugees' accessibility and willingness to receive a COVID-19 vaccination in China. UNHCR stresses that no one can be left behind in the global effort against COVID-19 and is monitoring the inclusion of refugees and asylum seekers in vaccination plans around the world. At the time, Chinese government policy did not provide free vaccines for foreigners without social security. The survey results however show that this policy was implemented with some flexibility, because among the few that were vaccinated already, more than half received a free COVID-19 vaccine. Some refugees reported difficulties or lack of information about vaccine registration or identity documents to book an appointment. Results further show that even though most are willing to get vaccinated, anti-vaccine sentiments are driven by fear of side effects.

    Geographic coverage

    The survey covers 24 provinces with most respondents residing in the province of Guangdong.

    Analysis unit

    Households

    Universe

    The survey was distributed to all 1017 refugees and asylum seekers.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    No sampling was implmented.

    Mode of data collection

    Self-administered questionnaire: Web-based

    Response rate

    Out of 1017 distributed surveys, UNHCR received 455 answers (45%). Of those, 30 respondents did not provide consent to participate in the survey.

  12. T

    China Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 4, 2020
    + more versions
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    TRADING ECONOMICS (2020). China Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/china/coronavirus-cases
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Mar 4, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 4, 2020 - May 17, 2023
    Area covered
    China
    Description

    China recorded 99256991 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, China reported 5226 Coronavirus Deaths. This dataset includes a chart with historical data for China Coronavirus Cases.

  13. T

    China Coronavirus COVID-19 Recovered

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 11, 2020
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    TRADING ECONOMICS (2020). China Coronavirus COVID-19 Recovered [Dataset]. https://tradingeconomics.com/china/coronavirus-recovered
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Mar 11, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 2019 - Dec 15, 2021
    Area covered
    China
    Description

    China recorded 86689 Coronavirus Recovered since the epidemic began, according to the World Health Organization (WHO). In addition, China reported 4636 Coronavirus Deaths. This dataset includes a chart with historical data for China Coronavirus Recovered.

  14. C

    China CN: COVID-19: Confirmed Case: New Increase

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: COVID-19: Confirmed Case: New Increase [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-patient/cn-covid19-confirmed-case-new-increase
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Apr 29, 2020 - May 10, 2020
    Area covered
    China
    Description

    China COVID-19: Confirmed Case: New Increase data was reported at 17.000 Person in 10 May 2020. This records an increase from the previous number of 14.000 Person for 09 May 2020. China COVID-19: Confirmed Case: New Increase data is updated daily, averaging 51.000 Person from Jan 2020 (Median) to 10 May 2020, with 112 observations. The data reached an all-time high of 15,152.000 Person in 12 Feb 2020 and a record low of 1.000 Person in 08 May 2020. China COVID-19: Confirmed Case: New Increase data remains active status in CEIC and is reported by National Health Commission. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GZ: COVID-19: No of Patient.

  15. C

    China CN: COVID-19: No of Death: ytd: Hubei: Wuhan

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: COVID-19: No of Death: ytd: Hubei: Wuhan [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-death/cn-covid19-no-of-death-ytd-hubei-wuhan
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 2, 2022 - Dec 13, 2022
    Area covered
    China
    Description

    COVID-19: Number of Death: Year to Date: Hubei: Wuhan data was reported at 3,869.000 Person in 13 Dec 2022. This stayed constant from the previous number of 3,869.000 Person for 12 Dec 2022. COVID-19: Number of Death: Year to Date: Hubei: Wuhan data is updated daily, averaging 3,869.000 Person from Jan 2020 (Median) to 13 Dec 2022, with 1069 observations. The data reached an all-time high of 3,869.000 Person in 13 Dec 2022 and a record low of 1.000 Person in 14 Jan 2020. COVID-19: Number of Death: Year to Date: Hubei: Wuhan data remains active status in CEIC and is reported by National Health Commission. The data is categorized under High Frequency Database’s Disease Outbreaks – Table CN.GZ: COVID-19: No of Death. Clinical diagnosis included in since 12Feb 自2月12日起纳入临床诊断

  16. Latest Coronavirus COVID-19 figures for China

    • covid19-today.pages.dev
    json
    Updated Jul 30, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for China [Dataset]. https://covid19-today.pages.dev/countries/china/
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    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    China
    Description

    In past 24 hours, China, Asia had N/A new cases, N/A deaths and N/A recoveries.

  17. Metadata record for: Mobility, exposure, and epidemiological timelines of...

    • springernature.figshare.com
    txt
    Updated May 30, 2023
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    Scientific Data Curation Team (2023). Metadata record for: Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei Province [Dataset]. http://doi.org/10.6084/m9.figshare.13567553.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Scientific Data Curation Team
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Hubei, China
    Description

    This dataset contains key characteristics about the data described in the Data Descriptor Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei Province. Contents:

        1. human readable metadata summary table in CSV format
    
    
        2. machine readable metadata file in JSON format
    
  18. T

    China Coronavirus COVID-19 Vaccination Total

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 20, 2021
    + more versions
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    TRADING ECONOMICS (2021). China Coronavirus COVID-19 Vaccination Total [Dataset]. https://tradingeconomics.com/china/coronavirus-vaccination-total
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Apr 20, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 15, 2020 - Feb 9, 2023
    Area covered
    China
    Description

    The number of COVID-19 vaccination doses administered in China rose to 3491077000 as of Oct 27 2023. This dataset includes a chart with historical data for China Coronavirus Vaccination Total.

  19. Chinese student's intention to study abroad under COVID-19 2023

    • statista.com
    Updated Dec 20, 2023
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    Statista Research Department (2023). Chinese student's intention to study abroad under COVID-19 2023 [Dataset]. https://www.statista.com/topics/5898/novel-coronavirus-covid-19-in-china/
    Explore at:
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    China
    Description

    According to an educational survey conducted between December 2022 and February 2023, around 12 percent of Chinese students initially planning to study abroad at a bachelor student level or below temporarily gave up their plans due to the global coronavirus pandemic. Around 88 percent of students were still planning to study overseas or considering alternative options.

  20. Data and Code for Prediction of the COVID-19 Epidemic Trends Based on SEIR...

    • figshare.com
    xlsx
    Updated Jun 28, 2020
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    Shuo Feng; Zebang Feng; Chen Ling; Chen Chang; Zhongke Feng (2020). Data and Code for Prediction of the COVID-19 Epidemic Trends Based on SEIR and AI Models [Dataset]. http://doi.org/10.6084/m9.figshare.12227990.v2
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 28, 2020
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Shuo Feng; Zebang Feng; Chen Ling; Chen Chang; Zhongke Feng
    License

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

    Description

    Data and Code for Prediction of the COVID-19 Epidemic Trends Based on SEIR and AI Models.Data include the number of confirmed cases of COVID-19, local population density, capital GDP, distance to Wuhan, average annual temperature, average annual rainfall of Chinese provinces (Except for Hong Kong, Macao and Taiwan) and migration population in Wuhan. Code include SEIR, DNN, RNN for prediction.

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Wenyi Zhang (2023). Estimated value of investment plans in U.S. companies affected by COVID in China 2022 [Dataset]. https://www.statista.com/topics/5898/novel-coronavirus-covid-19-in-china/
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Estimated value of investment plans in U.S. companies affected by COVID in China 2022

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10 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 20, 2023
Dataset provided by
Statistahttp://statista.com/
Authors
Wenyi Zhang
Area covered
China
Description

In a survey among U.S. companies operating in China conducted in June 2022, about 17 percent of respondents stated that due to China's COVID-19 control measures, the estimated value of paused, delayed, or canceled investment plans exceeded 50 million U.S. dollars. 27 percent of surveyed U.S. companies said that their investment value affected by COVID-19 was between 10 and 25 million U.S. dollars.

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