According to a survey fielded in Mexico in August 2020, 11 percent of respondents stated having to close their businesses as a result of the COVID-19 pandemic. This represents a noticeable decrease compared to April, when 23 percent of participants said they had to shut down their businesses.

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.

According to a survey conducted in February 2022, around 7.4 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 0.8 percent of large business enterprises reported the potential closing down.

The number of small and medium-sized enterprises in the United States was forecast to continuously decrease between 2024 and 2029 by in total 6.7 thousand enterprises (-2.24 percent). After the fourteenth consecutive decreasing year, the number is estimated to reach 291.94 thousand enterprises and therefore a new minimum in 2029. According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Shown here are small and medium-sized enterprises, which are defined as companies with 1-249 employees.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

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.

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.

To create the dataset, the top 10 countries leading in the incidence of COVID-19 in the world were selected as of October 22, 2020 (on the eve of the second full of pandemics), which are presented in the Global 500 ranking for 2020: USA, India, Brazil, Russia, Spain, France and Mexico. For each of these countries, no more than 10 of the largest transnational corporations included in the Global 500 rating for 2020 and 2019 were selected separately. The arithmetic averages were calculated and the change (increase) in indicators such as profitability and profitability of enterprises, their ranking position (competitiveness), asset value and number of employees. The arithmetic mean values of these indicators for all countries of the sample were found, characterizing the situation in international entrepreneurship as a whole in the context of the COVID-19 crisis in 2020 on the eve of the second wave of the pandemic. The data is collected in a general Microsoft Excel table. Dataset is a unique database that combines COVID-19 statistics and entrepreneurship statistics. The dataset is flexible data that can be supplemented with data from other countries and newer statistics on the COVID-19 pandemic. Due to the fact that the data in the dataset are not ready-made numbers, but formulas, when adding and / or changing the values in the original table at the beginning of the dataset, most of the subsequent tables will be automatically recalculated and the graphs will be updated. This allows the dataset to be used not just as an array of data, but as an analytical tool for automating scientific research on the impact of the COVID-19 pandemic and crisis on international entrepreneurship. The dataset includes not only tabular data, but also charts that provide data visualization. The dataset contains not only actual, but also forecast data on morbidity and mortality from COVID-19 for the period of the second wave of the pandemic in 2020. The forecasts are presented in the form of a normal distribution of predicted values and the probability of their occurrence in practice. This allows for a broad scenario analysis of the impact of the COVID-19 pandemic and crisis on international entrepreneurship, substituting various predicted morbidity and mortality rates in risk assessment tables and obtaining automatically calculated consequences (changes) on the characteristics of international entrepreneurship. It is also possible to substitute the actual values identified in the process and following the results of the second wave of the pandemic to check the reliability of pre-made forecasts and conduct a plan-fact analysis. The dataset contains not only the numerical values of the initial and predicted values of the set of studied indicators, but also their qualitative interpretation, reflecting the presence and level of risks of a pandemic and COVID-19 crisis for international entrepreneurship.

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

A list of businesses deemed essential and non-essential during the coronavirus (COVID-19) outbreak in Delaware. Non-essential businesses were closed on March 24, 2020 at 8am by order from the Governor. Certain business categories are allowed to re-open by Governor's announcements. Data from Division of Small Business.

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

Abstract

The world is witnessing rapid changes resulting from the Coronavirus pandemic (COVID-19), which it is affecting all aspects of life. It is quite obvious that such effects have negatively impacted the economic, social, environmental and health conditions. This critical situation has imposed tough challenges against the Palestinian economy that would require observation, following up and monitoring the Palestinian institutions' economic conditions during the pandemic in order to measure the size of changes that have occurred on those institutions' economic conditions, as well as being comparable with normal and exceptional conditions. To that end, the Palestinian Central Bureau of Statistics (PCBS) took the responsibility of implementing the COVID-19 Business Pulse Survey to meet the needs of policy and decision makers from both the private and public sectors, in addition to civil society and international institutions in a manner that contributes to developing programs and interventions that can mitigate the impacts and consequences of this pandemic.

Despite the closure of borders around the world and the aggressive containment measures, the Coronavirus (COVID19) continues to spread globally. Therefore, the aim of the COVID-19 Business Pulse Survey, 2020 is to assess the dynamics of the impacts of COVID-19 on small, medium and large institutions in Palestine.

Geographic coverage

National

Analysis unit

Enterprises

Universe

The survey covered a national sample of enterprises working in any of the following activities: industry, construction, internal trade, information and communication, transportation and storage, and services.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample and Frame: The sample is One-Stage Stratified Systematic Random Sample (without replacement).

Sample Strata: Three levels are used to divide the population into strata: 1. Region (North of the West Bank in addition to Jericho Governorate, Ramallah and Al-Bireh Governorate, Jerusalem Governorate, Bethlehem Governorate, Hebron Governorate, Gaza Strip) 2. Strata were created based on the fourth digit of ISIC-4, excluding services sector based on the second in which every activity presents an actual stratum. 3. Enterprise size (small, medium, large) by number of employees.

Sample Size: 13,974 enterprises were reached of which,11,243 enterprises responded on COVID-19 questions, and 10,602 enterprises responded on financial questions (baseline of economic indicators)

Mode of data collection

Face-to-face [f2f] & Computer Assisted telephone Interview [cati]

Research instrument

The survey's questionnaire was designed to achieve the objectives of this study. The questionnaire included essential variables required to study the impacts of COVID-19 on small, medium and large institutions in the West Bank and Gaza. It was oriented by joint efforts between PCBS team and the World Bank team and cooperation with GIZ and international institutions adaptation to the Palestinian situation.

Note: The questionnaire could be seen in the documentation materials tab.

Cleaning operations

Notes on Data:

1. The data was separated into two files, one file contains the data for establishment's responses on COVID-19 questions, and the other contains the data for establishment's responses on financial questions (baseline of economic indicators). The two data sets cannot be combined at this stage.

2. The financial data (baseline of economic indicators) excluded those parts of Jerusalem which were annexed by Israeli Occupation in 1967.

3. The services survey covers profit, non-profit enterprises, and output of non-profit enterprises in the National Accounts System 2008 (SNA'2008) equals to the value of intermediate consumption, and the value of employee compensation, and the value of depreciation of fixed assets, in addition to the value of net taxes and fees on production.

4. Financial data were collected in NIS

Response rate

Response Rate: For COVID-19 survey the Response rate values is: - The size of the selected sample in Palestine was 13,974 institutions. - The size of the achieved sample from the field was 11,243 institutions in Palestine. - Non-response cases: 1,491. - Over-coverage cases: 1,240. - Net sample: 12,734 - Response rate: 88.3%. - Non-response rate: 11.7 %. - Over-coverage rate: 8.9%.

For financial questions (baseline of economic indicators), the response rate values is: - The size of the achieved sample from the field was 10,643 institutions in Palestine. - Non-response cases: 2,023. - Over-coverage cases: 1,308. - Net sample: 12,666 - Response rate: 84.0%. - Non-response rate: 16.0 %. - Over-coverage rate: 9.4%

Local authorities have received and distributed funding to support small and medium businesses in England during coronavirus. The datasets cover schemes managed by local authorities: Additional Restrictions Support Grant (ARG) Restart Grant - closed June 2021 Local Restrictions Support Grants (LRSG) and Christmas support payments - closed 2021 Small Business Grants Fund (SBGF) - closed August 2020 Retail, Hospitality and Leisure Business Grants Fund (RHLGF) - closed August 2020 Local Authority Discretionary Grants Fund (LADGF) - closed August 2020 The spreadsheets show the total amount of money that each local authority in England: received from central government distributed to SMEs 20 December 2021 update We have published the latest estimates by local authorities for payments made under this grant programme: Additional Restrictions Grants (up to and including 28 November 2021) The number of grants paid out is not necessarily the same as the number of businesses paid. The data has not received full verification.

COVID-19 Reopening Data from Associated Press and Kantar Media

Access regularly updated data from The Associated Press and Kantar Media containing information on events at the global, national and state levels as economies reopen following the coronavirus pandemic via AP Planner.

AP Planner is a paid service from The Associated Press & Kantar Media.

The four data files below feature the following event types:

• Environmental, Social and Governance (ESG): Events related the factors that measure the sustainability and societal impact of an investment in a company or business.
• Healthcare, Pharmaceuticals and Bio Tech: Health care providers and services, health care equipment and supplies, and health care technology companies. Drug and vaccine production, as well as biological substances for the purposes of drug discovery and diagnostic development.
• Politics: U.S. political news and events.
• Diversity and Discrimination: News and events related to race, religion, gender, sexuality, disability and age.

All data is compiled by a dedicated staff with over 15 years of forward planning research experience, employing data verification and processes designed to provide reliable and up-to-date information.

The data can be used to help:

• Provide signals to investors on how to act and at what speed based on the types of events returning across industries.
• Analyze risk associated with companies based on when they're reopening.
• Retain your own customer base based on reopening dates for vendors and competitors.
• Track COVID regulations to prepare inventory and guest policies.

The following data files are samples - if you are interested in licensing the full, regularly updated database, please contact Opal Barclay (obarclay@ap.org) at The Associated Press or Click on Request Access Button above.

​

***

FAQs

Why does AP and Kantar compile this data?_ The data is sourced from AP Planner, a product offered by The Associated Press and Kantar Media. AP Planner is a searchable database of future events that is updated daily and intended for research, not publication.

What information does AP Planner contain?_ AP Planner is global in scope and contains more than 100,000 U.S. and international events from the world of news, current affairs, politics, business, lifestyle and more - all searchable up to 12 months ahead.

Where does the information come from?_ AP Planner aggregates listings from tens of thousands of organizations worldwide. Our research staff monitors over 350,000 websites and uses a verity of secondary sources including press releases, corporate announcements and other outlets to ensure accuracy.

How can I be confident of the data's quality and accuracy?_ We have a dedicated research staff with over 15 years of forward planning research experience. They employ data verification and updating processes designed to provide our customers with completely reliable and up-to-date information.

Can I export data into other applications?_ Yes, AP Planner data can be exported as an Excel file or an Outlook calendar file. The data is also accessible via API.

Who can I contact to learn more about AP Planner?_ Opal Barclay, obarclay@ap.org.

Percentage of businesses with layoffs since the start of the COVID-19 pandemic, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership.

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.

The American Rescue Plan Act established the Restaurant Revitalization Fund (RRF) to provide funding to help restaurants and other eligible businesses keep their doors open. The American Rescue Plan Act established the Restaurant Revitalization Fund (RRF) to provide funding to help restaurants and other eligible businesses keep their doors open. This program provided restaurants with funding equal to their pandemic-related revenue loss up to $10 million per business and no more than $5 million per physical location. Recipients are not required to repay the funding as long as funds are used for eligible uses no later than March 11, 2023. This dataset details New York State recipients of RRF funds.

Using the coronavirus infographic template in Business/Community Analyst Web (ArcGIS Blog).

Staffing actions taken by businesses 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.

This file contains the dataset and the results of the statistical analyses to identify the national factors related to the number of COVID-19 infections and COVID-19 deaths in each country. The dataset includes the dependent variables (the cumulative number of COVID-19 infections and the cumulative number of COVID-19 deaths as of March 31, April 30, May 31, and June 30, 2020), independent variables (national culture, The degree of corruption in the country and the policy on COVID-19, temperature and precipitation of each country, and GDP per capita), and control variables (population density, median age, and obesity rates of the country, the number of days that COVID-19 has been detected for the first time in a country, and the presence or absence of forced BCG vaccination policy). This file also contains the descriptive statistics of all variables, the results of the correlation analyses, and the results of the regression analyses.

Tax deferrals during the COVID-19 crisis The Government has announced the postponement of the main tax deadlines of professionals in order to take account of their difficulties related to the coronavirus health crisis. The tax deadline deferral concerns: — Companies or accountants who intervene for clients, for whom it is possible to ask the business tax department to carry forward without penalty the settlement of their next direct tax deadlines (company tax advance, wage tax). — Self-employed persons who may at any time adjust the rate and advance payments at source. It is also possible to defer payment of drawbacks at source on professional income from one month to another, up to three times if the instalments are monthly, or from one quarter to the other if the instalments are quarterly. In order to provide financial assistance to companies in difficulty, an accelerated procedure for the repayment of refundable corporate tax claims in 2020 is being implemented. Finally, the Commission des chefs de services financiers (CCSF) can grant companies that face financial difficulties time to pay their tax and social debts confidentially. ### The Business Aid Scoreboard In order to offer visibility to all French people on the allocation of aid to enterprises, the Minister for Action and Public Accounts, with the technical support of the department Etalab of the Inter-Ministerial Directorate of Digital (DINUM), make available a scoreboard of which source code is available, which proposes a consolidated vision of the support provided to companies. ### Description of the data This dataset contains the data presented on the “Tax Maturities Reports” tab of the dashboard. The data shall inform, at regional and departmental granularity, the following data: — Number of deferred tax deadlines granted; — Total amount of tax deferrals granted in euro; — The sector of activity of the beneficiary companies (via a section of the NAF code). These data are updated weekly.