As of May 21, 2020, about one third of respondents in the United Kingdom planned to spend their annual leave on holidays in the UK if travel abroad was still difficult due to lockdown restrictions. Over a quarter of respondents expected to spend more time at home.

In May 2020, 28 percent of UK residents said that due to the coronavirus (COVID-19) pandemic they were more likely to take a holiday elsewhere in the UK in 2020. However 43 percent felt that the pandemic had not affected their decision to vacation domestically.

As of May 21, 2020, around a quarter of respondents to a survey in the United Kingdom expected to be able to travel abroad for holidays no sooner than summer 2021 due to the coronavirus (COVID-19) outbreak and the consequent travel restrictions. Only **** percent of respondents expected to travel before September 2020.

This file contains daily attendance data for state-funded education settings for dates excluding half term and Easter dates. Half term includes 19th October - 23rd October 2020, 2nd November 2020, and 15 February - 19 February 2021. Easter dates include 29 March 2021 - 19 April 2021.Data is in this file has been scaled to account for non-response so it is nationally representative.Further details on the column headings can be found in the “Table 1b variable additions and removal log” ancillary file.

The coronavirus (COVID-19) pandemic disrupted international tourism in 2020 and 2021, with countries across the world adopting different travel restrictions to limit the spread of the virus. According to an August 2021 study, the share of adults in the United Kingdom mentioning the United States as the main destination for their long vacations abroad dropped from ** percent in 2020 to just **** percent in 2021. That year, Greece was the most popular overseas destination for long holidays, chosen by *** percent of the survey sample.

The average weekly expenditure on package holidays in the United Kingdom was significantly lower in the 2022 fiscal year compared to 2020 due to the impact of the coronavirus (COVID-19) pandemic. Over that period, households within the highest ten percent gross income decile group recorded the highest decline in spending. Between April 2021 and March 2022, those households spent an average of ** British pounds a week on package holidays, reporting a drop of over ** British pounds compared to 2020.

In May 2020, a survey carried out in the United Kingdom found that around two-thirds of the British missed seeing family and friends the most during the lockdown period as a result of the coronavirus pandemic. 38 percent of respondents said they miss going to restaurants and pubs, while 35 percent reported that they missed going on holidays. The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

This file contains workforce absence statistics for education settings from 12 October 2020 to 17 December 2020 and again following wider reopening of schools, from 8 March 2021 to 16 September 2021. It excludes half term terms (19th October - 23rd October, and 2nd November 2020), the national lockdown during the spring term (4 January to 5 March 2021), Easter data (29 March - 19 April 2021) and summer holiday (17 July 2021 - 6 September 2021). Data for workforce during the restricted opening of schools can be found in table 1e.Data is in this file has been scaled to account for non-response so it is nationally representative.

Holiday accommodation providers rely significantly on domestic tourists, with demand for holiday spending driven by consumer confidence and disposable income levels. Companies have faced significant volatility due to swings in tourism numbers, including the plunge caused by the COVID-19 pandemic followed by a strong recovery in domestic travel. Revenue is expected to soar at a compound annual rate of 11.1% over the five years through 2025-26 to £4.1 billion, despite a forecast dip of 0.1% in 2025-26. The growth rate has been skewed and inflated due to the significantly low value in the base year of 2020-21 amid the COVID-19-driven collapse in tourism. Revenue bounced back once COVID-19 restrictions were lifted, with revenue surging over the two years through 2022-23 amid a significant boost from the staycation trend. However, revenue growth had been held back since late 2022-23 by the cost-of-living crisis tightening consumers' purse strings. Significant consumer demand for holidays and soaring inflation encouraged holiday accommodation providers to hike prices, boosting revenue from bookings but also putting some price-sensitive consumers off from staying at industry accommodation. A slowdown in staycations and prolonged financial challenges have weakened revenue over the three years through 2025-26.The emergence of online travel agents has made it easier for independent accommodation providers to compete with larger companies, enticing newcomers into the industry. However, the enduring popularity of online private short-term rentals like Airbnb steals away guests. Intensifying competition has placed pressure on prices, which, alongside severe inflationary pressures, has weighed on the average profit margin, which is estimated to be 14.7% in 2025-26. Revenue is forecast to mount at a compound annual rate of 3.1% over the five years through 2030-31 to £4.7 billion. Climbing domestic and international visitor numbers will support growth. Given the anticipated expansion in inbound visits to the UK, companies must find ways to attract foreign travellers, who typically stay at hotels or use home-sharing platforms. Growing disposable incomes will spur consumer spending on holiday trips, though this may also lead to some travelling abroad or staying at more upscale hotels. That being said, home-sharing platforms like Airbnb and competitively-priced hotels investing in enhancing facilities and offerings will continue to lure consumers away from holiday accommodation providers. Industry companies will have to bump up investment in technology and sustainability to remain competitive and attract guests. Intense price competition and elevated staff costs will continue to weigh on revenue and profit.

For the latest analysis and visualizations of the COVID-19 pandemic, check out my constantly updated EDA notebook here 📈.

Context

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the strain of coronavirus that causes coronavirus disease 2019 (COVID-19), the respiratory illness responsible for the COVID-19 pandemic.

Since its first identification in December 2019 in Wuhan, China, this virus has taken the world by storm. Some people prefer to look at the positive side of things and how this pandemic has brought forward several positive changes. However, the collateral damages produced by this pandemic cannot be overlooked. From the Economic impact to Mental Health impacts, this pandemic period will arguably be one of the hardest periods we'll encounter in our lives. That being said, we always have to arm ourselves with hope. With the new advancements in the vaccine studies, let's hope to wake up from this nightmare as soon as possible.

“Hope is being able to see that there is light despite all of the darkness.” – Desmond Tutu

As for the reason for me building this dataset, it's because I couldn't get my hands on an easily digestible and up-to-date dataset of Covid-19, so, I decided to build my own using Python and web scraping techniques. I will also update this dataset as frequently as possible!

Content

This data was scraped from woldometers.info on 2022-05-14 by Joseph Assaker.

225 countries are represented in this data.

All of countries have records dating from 2020-2-15 until 2022-05-14 (820 days per country). That's with the exception of China, which has records dating from 2020-1-22 until 2022-05-14 (844 days per country), and Palau which has records dating from 2021-8-25 until 2022-05-14 (263 days per country)..

Summary Data Columns Description:

• country: designates the Country in which the the row's data was observed.
• continent: designates the Continent of the observed country.
• total_confirmed: designates the total number of confirmed cases in the observed country.
• total_deaths: designates the total number of confirmed deaths in the observed country.
• total_recovered: designates the total number of confirmed recoveries in the observed country.
• active_cases: designates the number of active cases in the observed country.
• serious_or_critical: designates the estimated number of cases in serious or critical conditions in the observed country.
• total_cases_per_1m_population: designates the number of total cases per 1 million population in the observed country.
• total_deaths_per_1m_population: designates the number of total deaths per 1 million population in the observed country.
• total_tests: designates the number of total tests done in the observed country.
• total_tests_per_1m_population: designates the number of total test done per 1 million population in the observed country.
• population: designates the population count in the observed country.

Daily Data Columns Description:

• date: designates the date of observation of the row's data in YYYY-MM-DD format.
• country: designates the Country in which the the row's data was observed.
• cumulative_total_cases: designates the cumulative number of confirmed cases as of the row's date, for the row's country.
• daily_new_cases: designates the daily new number of confirmed cases on the row's date, for the row's country.
• active_cases: designates the number of active cases (i.e., confirmed cases that still didn't recover nor die) on the row's date, for the row's country.
• cumulative_total_deaths: designates the cumulative number of confirmed deaths as of the row's date, for the row's country.
• daily_new_deaths: designates the daily new number of confirmed deaths on the row's date, for the row's country.

Acknowledgements

As previously mentioned, all the data present in this dataset is scraped from worldometers.info.

Inspiration

Going through this data, Kagglers can visualize various trends in their own country, or compare several countries. One can also combine this dataset with other news and key points in time (lockdowns, new UK mutation, Holidays, etc.) in order to study the effects of these events on the progression of Covid-19 in a multitude of countries. Implementing time series analysis on this dataset would also be an amazing idea! Getting a deep learning algorithm to learn from this sea of data and try to predict the future turn of events could be quite interesting!

The total number of inbound holiday visits to the United Kingdom decreased sharply in the second quarter of 2020 over the previous quarter, due to the coronavirus (COVID-19) pandemic. Between April and June 2020, it was estimated that the UK recorded only about *** thousand holiday visits, as a result of the global health crisis and travel restrictions. In the second quarter of 2019, the UK reported roughly *** million international holiday visits overall.

Non-essential sectors will be hit the hardest in 2020 as consumer confidence falls, with apparel sales forecast to decline by 25.7% in 2020, as consumers have no events or holidays to purchase new clothes for, and growth in the demand for loungewear and athleisure cannot match this. Read More

In May 2020, over one half of respondents in both the United Kingdom (UK) and Europe, planned to book a domestic holiday in summer 2020, provided that the travel restrictions imposed due to the coronavirus (COVID-19) pandemic were lifted. Very few respondents in both regions said they would not travel domestically until a vaccine was found and/or the economic situation had stabilized.

Reservations on Airbnb, Expedia and Booking.com declined significantly in Europe's most popular holiday countries during the coronavirus pandemic in 2020 and the beginning of 2021. Online reservations for tourist accommodations in Spain, for example, reached a year-on-year decrease of ** percent in week **, a figure broadly comparable to that in France, Italy and the United Kingdom. During the summer, figures did pick up again but were still lower than those in 2019.

The annual revenue of Bourne Leisure Holdings Limited in the United Kingdom declined by roughly ** percent in 2020 over the previous year due to the coronavirus (COVID-19) pandemic. Overall, the company's revenue amounted to nearly *** million British pounds in 2020, dropping from around *** billion British pounds in 2019. Bourne Leisure is the parent company of Butlins, Haven Holidays, and Warner Leisure Hotels in the UK.