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TwitterThese are the key findings from the second of three rounds of the DCMS Coronavirus Business Survey. These surveys are being conducted to help DCMS understand how our sectors are responding to the ongoing Coronavirus pandemic. The data collected is not longitudinal as responses are voluntary, meaning that businesses have no obligation to complete multiple rounds of the survey and businesses that did not submit a response to one round are not excluded from response collection in following rounds.
The indicators and analysis presented in this bulletin are based on responses from the voluntary business survey, which captures organisations responses on how their turnover, costs, workforce and resilience have been affected by the coronavirus (COVID-19) outbreak. The results presented in this release are based on 3,870 completed responses collected between 17 August and 8 September 2020.
This is the first time we have published these results as Official Statistics. An earlier round of the business survey can be found on gov.uk.
We have designated these as Experimental Statistics, which are newly developed or innovative statistics. These are published so that users and stakeholders can be involved in the assessment of their suitability and quality at an early stage.
We expect to publish a third round of the survey before the end of the financial year. To inform that release, we would welcome any user feedback on the presentation of these results to evidence@dcms.gov.uk by the end of November 2020.
The survey was run simultaneously through DCMS stakeholder engagement channels and via a YouGov panel.
The two sets of results have been merged to create one final dataset.
Invitations to submit a response to the survey were circulated to businesses in relevant sectors through DCMS stakeholder engagement channels, prompting 2,579 responses.
YouGov’s business omnibus panel elicited a further 1,288 responses. YouGov’s respondents are part of their panel of over one million adults in the UK. A series of pre-screened information on these panellists allows YouGov to target senior decision-makers of organisations in DCMS sectors.
One purpose of the survey is to highlight the characteristics of organisations in DCMS sectors whose viability is under threat in order to shape further government support. The timeliness of these results is essential, and there are some limitations, arising from the need for this timely information:
This release is published in accordance with the Code of Practice for Statistics, as produced by the UK Statistics Authority. The Authority has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The responsible statistician for this release is Alex Bjorkegren. For further details about the estimates, or to be added to a distribution list for future updates, please email us at evidence@dcms.gov.uk.
The document above contains a list of ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
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TwitterIn 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.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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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.
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TwitterAccording 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.
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TwitterAccording 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.
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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.
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TwitterThe outbreak of coronavirus in Poland will significantly reduce labor demand. According the source, bankruptcies of companies, dismissals of employees, the need to take care of children due to closed educational institutions, and limited possibilities of remote work in some sectors have a direct impact on the labor market during the pandemic. In total, nearly 4.2 million people work in industries strongly exposed to the economic consequences of the lockdown. Of this figure, three million are employed, and just over one million are business owners and co-owners. More than half of the jobs at risk are in the trade.
For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.
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TwitterThe 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.
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TwitterIn the wake of COVID-19 and associated lockdowns, businesses in both the oil and gas industry and the recreation industry saw a ** percent reduction in revenues when comparing the revenues generated between ********** to ********** with revenues generated between ********** to **********. The top performing industries during the same time period can be accessed here.
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TwitterThe outbreak of COVID-19, also known as novel coronavirus, is impacting the supply chains including the production and shipment of good and products in many industries. Around 12,000 facilities (including factories and warehouses) of the 1,000 largest companies worldwide are located in the Covid-19 quarantine areas in China, Italy, and South Korea. The most affected companies are from the high tech, semiconductors, and consumer electronics industry with 3,238 facilities in the quarantied areas in China.
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TwitterChanges 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.
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TwitterIn 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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TwitterOfficial statistics are produced impartially and free from political influence.
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This 6MB download is a zip file containing 5 pdf documents and 2 xlsx spreadsheets. Presentation on COVID-19 and the potential impacts on employment
May 2020Waka Kotahi wants to better understand the potential implications of the COVID-19 downturn on the land transport system, particularly the potential impacts on regional economies and communities.
To do this, in May 2020 Waka Kotahi commissioned Martin Jenkins and Infometrics to consider the potential impacts of COVID-19 on New Zealand’s economy and demographics, as these are two key drivers of transport demand. In addition to providing a scan of national and international COVID-19 trends, the research involved modelling the economic impacts of three of the Treasury’s COVID-19 scenarios, to a regional scale, to help us understand where the impacts might be greatest.
Waka Kotahi studied this modelling by comparing the percentage difference in employment forecasts from the Treasury’s three COVID-19 scenarios compared to the business as usual scenario.
The source tables from the modelling (Tables 1-40), and the percentage difference in employment forecasts (Tables 41-43), are available as spreadsheets.
Arataki - potential impacts of COVID-19 Final Report
Employment modelling - interactive dashboard
The modelling produced employment forecasts for each region and district over three time periods – 2021, 2025 and 2031. In May 2020, the forecasts for 2021 carried greater certainty as they reflected the impacts of current events, such as border restrictions, reduction in international visitors and students etc. The 2025 and 2031 forecasts were less certain because of the potential for significant shifts in the socio-economic situation over the intervening years. While these later forecasts were useful in helping to understand the relative scale and duration of potential COVID-19 related impacts around the country, they needed to be treated with care recognising the higher levels of uncertainty.
The May 2020 research suggested that the ‘slow recovery scenario’ (Treasury’s scenario 5) was the most likely due to continuing high levels of uncertainty regarding global efforts to manage the pandemic (and the duration and scale of the resulting economic downturn).
The updates to Arataki V2 were framed around the ‘Slower Recovery Scenario’, as that scenario remained the most closely aligned with the unfolding impacts of COVID-19 in New Zealand and globally at that time.
Find out more about Arataki, our 10-year plan for the land transport system
May 2021The May 2021 update to employment modelling used to inform Arataki Version 2 is now available. Employment modelling dashboard - updated 2021Arataki used the May 2020 information to compare how various regions and industries might be impacted by COVID-19. Almost a year later, it is clear that New Zealand fared better than forecast in May 2020.Waka Kotahi therefore commissioned an update to the projections through a high-level review of:the original projections for 2020/21 against performancethe implications of the most recent global (eg International monetary fund world economic Outlook) and national economic forecasts (eg Treasury half year economic and fiscal update)The treasury updated its scenarios in its December half year fiscal and economic update (HYEFU) and these new scenarios have been used for the revised projections.Considerable uncertainty remains about the potential scale and duration of the COVID-19 downturn, for example with regards to the duration of border restrictions, update of immunisation programmes. The updated analysis provides us with additional information regarding which sectors and parts of the country are likely to be most impacted. We continue to monitor the situation and keep up to date with other cross-Government scenario development and COVID-19 related work. The updated modelling has produced employment forecasts for each region and district over three time periods - 2022, 2025, 2031.The 2022 forecasts carry greater certainty as they reflect the impacts of current events. The 2025 and 2031 forecasts are less certain because of the potential for significant shifts over that time.
Data reuse caveats: as per license.
Additionally, please read / use this data in conjunction with the Infometrics and Martin Jenkins reports, to understand the uncertainties and assumptions involved in modelling the potential impacts of COVID-19.
COVID-19’s effect on industry and regional economic outcomes for NZ Transport Agency [PDF 620 KB]
Data quality statement: while the modelling undertaken is high quality, it represents two point-in-time analyses undertaken during a period of considerable uncertainty. This uncertainty comes from several factors relating to the COVID-19 pandemic, including:
a lack of clarity about the size of the global downturn and how quickly the international economy might recover differing views about the ability of the New Zealand economy to bounce back from the significant job losses that are occurring and how much of a structural change in the economy is required the possibility of a further wave of COVID-19 cases within New Zealand that might require a return to Alert Levels 3 or 4.
While high levels of uncertainty remain around the scale of impacts from the pandemic, particularly in coming years, the modelling is useful in indicating the direction of travel and the relative scale of impacts in different parts of the country.
Data quality caveats: as noted above, there is considerable uncertainty about the potential scale and duration of the COVID-19 downturn. Please treat the specific results of the modelling carefully, particularly in the forecasts to later years (2025, 2031), given the potential for significant shifts in New Zealand's socio-economic situation before then.
As such, please use the modelling results as a guide to the potential scale of the impacts of the downturn in different locations, rather than as a precise assessment of impacts over the coming decade.
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Reliance on severely impacted regions will harm TJX in the short run, but its future prospects look brighter than most. Read More
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TwitterThe coronavirus (COVID-19) is affecting not only the health and daily life of the German population, but it is also having an impact on German businesses. Based on a survey conducted in May 2020 among 10,000 companies, almost ** percent of businesses in the hospitality industry stated they already notice the impact of the virus.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Textual analysis of responses from the Business Impacts of Coronavirus (COVID-19) Survey (BICS), providing further insights into the experiences of individual businesses.
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TwitterThis dataset was created by Ashish Sharma
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The indicators and analysis presented in this article are based on selected responses over time 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. This data relates to the period 23 March 2020 to 17 May 2020 (Wave 2 to Wave 5).
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TwitterThe Shuttered Venue Operators Grant (SVOG) program was established by the Economic Aid to Hard-Hit Small Businesses, Nonprofits, and Venues Act, and amended by the American Rescue Plan Act.
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TwitterThese are the key findings from the second of three rounds of the DCMS Coronavirus Business Survey. These surveys are being conducted to help DCMS understand how our sectors are responding to the ongoing Coronavirus pandemic. The data collected is not longitudinal as responses are voluntary, meaning that businesses have no obligation to complete multiple rounds of the survey and businesses that did not submit a response to one round are not excluded from response collection in following rounds.
The indicators and analysis presented in this bulletin are based on responses from the voluntary business survey, which captures organisations responses on how their turnover, costs, workforce and resilience have been affected by the coronavirus (COVID-19) outbreak. The results presented in this release are based on 3,870 completed responses collected between 17 August and 8 September 2020.
This is the first time we have published these results as Official Statistics. An earlier round of the business survey can be found on gov.uk.
We have designated these as Experimental Statistics, which are newly developed or innovative statistics. These are published so that users and stakeholders can be involved in the assessment of their suitability and quality at an early stage.
We expect to publish a third round of the survey before the end of the financial year. To inform that release, we would welcome any user feedback on the presentation of these results to evidence@dcms.gov.uk by the end of November 2020.
The survey was run simultaneously through DCMS stakeholder engagement channels and via a YouGov panel.
The two sets of results have been merged to create one final dataset.
Invitations to submit a response to the survey were circulated to businesses in relevant sectors through DCMS stakeholder engagement channels, prompting 2,579 responses.
YouGov’s business omnibus panel elicited a further 1,288 responses. YouGov’s respondents are part of their panel of over one million adults in the UK. A series of pre-screened information on these panellists allows YouGov to target senior decision-makers of organisations in DCMS sectors.
One purpose of the survey is to highlight the characteristics of organisations in DCMS sectors whose viability is under threat in order to shape further government support. The timeliness of these results is essential, and there are some limitations, arising from the need for this timely information:
This release is published in accordance with the Code of Practice for Statistics, as produced by the UK Statistics Authority. The Authority has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The responsible statistician for this release is Alex Bjorkegren. For further details about the estimates, or to be added to a distribution list for future updates, please email us at evidence@dcms.gov.uk.
The document above contains a list of ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.