The COVID-19 pandemic that spread across the world at the beginning of 2020 was not only a big threat to public health, but also to the entire entertainment industry. While cinemas and theaters closed their doors to try to stem the spread of the disease, many people turned to home entertainment and eSports during periods of self-isolation. During the peak of the crisis in March 2020, over 43 million hours of the top 50 games on Twitch were watched on one day on March 21.

Abstract copyright UK Data Service and data collection copyright owner.

The Annual Survey of Hours and Earnings, 2020: Synthetic Data Pilot is a synthetic version of the Annual Survey of Hours and Earnings (ASHE) study available via Trusted Research Environments (TREs).

ASHE is one of the most extensive surveys of the earnings of individuals in the UK. Data on the wages, paid hours of work, and pensions arrangements of nearly one per cent of the working population are collected. Other variables relating to age, occupation and industrial classification are also available. The ASHE sample is drawn from National Insurance records for working individuals, and the survey forms are sent to their respective employers to complete. ASHE is available for research projects demonstrating public good to accredited or approved researchers via TREs such as the Office for National Statistics Secure Research Service (SRS) or the UK Data Service Secure Lab (at SN 6689). To access collections stored within TREs, researchers need to undergo an accreditation process.

Gaining access to data in a secure environment can be time and resource intensive. This pilot has created a low fidelity, low disclosure risk synthetic version of ASHE data, which can be made available to researchers more quickly while they wait for access to the real data.

The synthetic data were created using the Synthpop package in R. The sample method was used; this takes a simple random sample with replacement from the real values. The project was carried out in the period between 19th December 2022 and 3rd January 2023. Further information is available within the documentation.

User feedback received through this pilot will help the ONS to maximise benefits of data access and further explore the feasibility of synthesising more data in future.

The ASHE synthetic data contain the same variables as ASHE for each individual, relating to wages, hours of work, pension arrangements, and occupation and industrial classifications. There are also variables for age, gender and full/part-time status. Because ASHE data are collected by the employer, there are also variables relating to the organisation employing the individual. These include employment size and legal status (e.g. public company). Various geography variables are included in the data files. The year variable in this synthetic dataset is 2020.

As a consequence of the coronavirus (COVID-19) pandemic, many households had to work from home, which is apparent in this survey data from the Netherlands. Before the coronavirus (COVID-19) pandemic, approximately 30.2 hours per week were worked in the office, whilst 3.8 hours were worked at home. After the pandemic, 26 hours were worked from home whilst 8 hours were worked from home. This is not perrfectly in line with that what people wish for, as those asked said they would prefer to work on average 25 hours in the office and 9 hours from home, a discrepancy of one hour in favor of working from home.

Changes (Δ) in daily behaviors and time-use (hrs/d) between 2019 and 2020, by occupational and work from home status in 2020—US adult.

A survey of new and existing mobile gamers in selected countries found that new mobile gamers who had started gaming during the coronavirus pandemic spent more hours per week on mobile games than pre-existing gamers. As of October 2020, new gamers in the United States were spending an average of 13.1 hours per week on gaming apps, whereas existing gamers only spent 10.9 hours per week.

This chart shows the number of watercraft inspections that occurred for every day of the week/hour of the day combination (rectangles) during the 2020 watercraft inspection season for all watercraft inspection stations in Idaho. The y axis shows the day of the week and the x axis shows the hour of the day. The darkness of each rectangle indicates the number of inspections that occurred during that day of the week/hour of the day combination. The heaviest periods of inspections are shaded in dark blue. The legend on the right matches the color gradient with the approximate number of inspections that occurred in each rectangle. Data was aggregated from individual inspections entered into the 2020 Idaho Watercraft Inspection survey database. These watercraft inspections mainly concentrate on finding Invasive Quagga/Zebra mussels on and in watercraft based on visual inspection and last waterbody visited. Station inspectors also look for aquatic noxious weeds that might be attached to watercraft.

Hours worked by hourly employees in health care & fitness of Vermont remained stable at -100.0 % over the last 10 years. All the rates compare that day vs. the median for that day of the week for the period Jan 4, 2020 – Jan 31, 2020.

In 2020 Latin America and the Caribbean was hit hard by the Coronavirus pandemic, losing 16.2 percent of its overall working hours, when compared with the fourth quarter of 2019. By comparison, the percentage of working hours lost worldwide was around 8.8 percent, and was lowest in Africa. In 2021, the situation is expected to improve but still remain below the 2019 baseline.

United States SBP: OS: No. of Hours Worked: Paid Employees: Number Effect data was reported at 73.900 % in 04 Oct 2020. This records a decrease from the previous number of 75.100 % for 27 Sep 2020. United States SBP: OS: No. of Hours Worked: Paid Employees: Number Effect data is updated weekly, averaging 68.600 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 75.700 % in 06 Sep 2020 and a record low of 37.900 % in 26 Apr 2020. United States SBP: OS: No. of Hours Worked: Paid Employees: Number Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).

Patient experience of GP out-of-hours services, measured by scoring the results of one question from the GP Patient Survey. The next release date for this indicator is to be confirmed. Legacy unique identifier: P01866

United States SBP: RT: No. of Hours Worked: Paid Employees: Number Effect data was reported at 82.400 % in 04 Oct 2020. This records an increase from the previous number of 81.000 % for 27 Sep 2020. United States SBP: RT: No. of Hours Worked: Paid Employees: Number Effect data is updated weekly, averaging 73.150 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 82.400 % in 04 Oct 2020 and a record low of 41.500 % in 26 Apr 2020. United States SBP: RT: No. of Hours Worked: Paid Employees: Number Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).

United States SBP: RE: No. of Hours Worked: Paid Employees: Number Effect data was reported at 86.100 % in 04 Oct 2020. This records a decrease from the previous number of 86.900 % for 27 Sep 2020. United States SBP: RE: No. of Hours Worked: Paid Employees: Number Effect data is updated weekly, averaging 80.600 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 88.600 % in 20 Sep 2020 and a record low of 50.500 % in 26 Apr 2020. United States SBP: RE: No. of Hours Worked: Paid Employees: Number Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S032: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).

United States SBP: FI: No. of Hours Worked: Paid Employees: Increased data was reported at 3.000 % in 04 Oct 2020. This records a decrease from the previous number of 3.700 % for 27 Sep 2020. United States SBP: FI: No. of Hours Worked: Paid Employees: Increased data is updated weekly, averaging 3.850 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 4.600 % in 07 Jun 2020 and a record low of 2.700 % in 14 Jun 2020. United States SBP: FI: No. of Hours Worked: Paid Employees: Increased data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).

Average Weekly Hours of All Employees: Education and Health Services in South Carolina was 31.60000 Hours per Week in January of 2021, according to the United States Federal Reserve. Historically, Average Weekly Hours of All Employees: Education and Health Services in South Carolina reached a record high of 35.00000 in January of 2007 and a record low of 31.60000 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Hours of All Employees: Education and Health Services in South Carolina - last updated from the United States Federal Reserve on February of 2025.

South Korea Hours Worked: TD: Health & Social Works: 5 & Above data was reported at 92.700 Hour in Jan 2020. South Korea Hours Worked: TD: Health & Social Works: 5 & Above data is updated monthly, averaging 92.700 Hour from Jan 2020 (Median) to Jan 2020, with 1 observations. South Korea Hours Worked: TD: Health & Social Works: 5 & Above data remains active status in CEIC and is reported by Ministry of Labour. The data is categorized under Global Database’s South Korea – Table KR.G053: Monthly Average Hours Worked: by Industry and Size of Enterprise: KSIC 10th Revision.

Philippines HWPW: Reason: Worked > 48 Hrs: > 48 Hrs: Others data was reported at 6.000 Person th in Jul 2020. This records a decrease from the previous number of 13.000 Person th for Apr 2020. Philippines HWPW: Reason: Worked > 48 Hrs: > 48 Hrs: Others data is updated quarterly, averaging 9.500 Person th from Apr 2020 (Median) to Jul 2020, with 2 observations. The data reached an all-time high of 13.000 Person th in Apr 2020 and a record low of 6.000 Person th in Jul 2020. Philippines HWPW: Reason: Worked > 48 Hrs: > 48 Hrs: Others data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G019: Labour Force Survey: Employment: Hours Worked Per Week: by Reasons of Working.

Philippines HWPW: Reason: < 40 Hrs: Strike or Labour Dispute data was reported at 3.000 Person th in Jul 2020. This records an increase from the previous number of 1.000 Person th for Apr 2020. Philippines HWPW: Reason: < 40 Hrs: Strike or Labour Dispute data is updated quarterly, averaging 2.000 Person th from Apr 2020 (Median) to Jul 2020, with 2 observations. The data reached an all-time high of 3.000 Person th in Jul 2020 and a record low of 1.000 Person th in Apr 2020. Philippines HWPW: Reason: < 40 Hrs: Strike or Labour Dispute data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G019: Labour Force Survey: Employment: Hours Worked Per Week: by Reasons of Working.

In a June 2020 survey, participants that worked from home during the coronavirus pandemic were asked if they were keeping normal working hours while working from home. The majority of respondents felt that they were not keeping the same hours as they had in office. While a minority of 28.6 percent said their working hours had remained the same.

Average Weekly Hours of All Employees: Education and Health Services in Connecticut was 33.40000 Hours per Week in January of 2021, according to the United States Federal Reserve. Historically, Average Weekly Hours of All Employees: Education and Health Services in Connecticut reached a record high of 33.40000 in January of 2020 and a record low of 30.50000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Hours of All Employees: Education and Health Services in Connecticut - last updated from the United States Federal Reserve on March of 2025.