A 2022 survey found that ** percent of employed Americans have been offered full-time remote work. During the COVID-19 pandemic, many workers across the U.S. began working remotely for the first time. The popularity of remote work has continued as pandemic restrictions have relaxed.

In the ********* year, there were about **** million employees who worked from home. Approximately *** million of those were ages 35 to 44 years old, while about **** were ages 15 years to 24 years old.

In a June 2020 survey, participants that worked from home during the coronavirus pandemic were asked what they thought were the greatest sources of distraction. Among the respondents, 53.7 percent said that their smartphones were affecting their productivity during the lockdown. Additionally, 30.4 percent admitted that gaming was keeping them from their daily work responsibilities.

As of December 2024, around 570 million employees in China had used online services to work from home, accounting for around 51.5 percent of the Chinese internet user base. After four years of on-and-off lockdowns due to the COVID-19 pandemic, the adoption of remote working in China largely sustains with the support of AI-powered software.

Percentage of workforce anticipated to work on-site or remotely over the next three months, by percentage ranges, North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.

Percentage of workforce anticipated to continue to primarily telework once the COVID-19 pandemic is over, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2021.

According to a survey from 2021, ** percent of Swedish employees did not have the opportunity to work remotely. However, around ** percent of the respondents were only or partially working from home.

This replication data repository contains all data and code required for our analysis, as well as a read-me file.

According to the survey conducted in April 2020, about 58 percent of respondents said they prefer to work from home compared to working from the office. In contrast to that, around 9 percent of respondents said they did not like to work from home.

Population Aged 15 Years and Over at Work by Working from Home Days

Brazil Working Age Population: % Share: Employed: Northeast: Employees data was reported at 63.900 % in Mar 2019. This records a decrease from the previous number of 64.100 % for Dec 2018. Brazil Working Age Population: % Share: Employed: Northeast: Employees data is updated quarterly, averaging 63.100 % from Mar 2012 (Median) to Mar 2019, with 29 observations. The data reached an all-time high of 64.100 % in Dec 2018 and a record low of 61.700 % in Mar 2016. Brazil Working Age Population: % Share: Employed: Northeast: Employees data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBA035: Continuous National Household Sample Survey: Working Age Population: % Share: Employed: by Employment Status in the Main Job. Employees are people who worked for an employer, usually forcing himself to fulfill a day's work and receiving in return a cash payment, goods, products or benefits (housing, food, clothing, etc.).

Graph and download economic data for Unemployment Level - Looking For Full-Time Work (LNS13100000) from Jan 1963 to Jun 2025 about full-time, 16 years +, household survey, unemployment, and USA.

F7135 - Population aged 15 years and over in the labour force who mainly work from home . Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Population aged 15 years and over in the labour force who mainly work from home ...

Graph and download economic data for Employment Level (CE16OV) from Jan 1948 to Jun 2025 about civilian, 16 years +, household survey, employment, and USA.

Standard labor force activity data for the week prior to the survey are provided in this data collection. Comprehensive data are supplied on the employment status, occupation, and industry of persons 15 years old and over. Also presented are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin. Supplemental data pertaining to work schedules include items on the usual number of hours worked daily and weekly, usual number of days and specific days worked weekly, starting and ending times of an individual's work day, and whether these starting and ending times could be varied. For deviations from regular work schedules, the main reason and length of time a particular schedule or shift was worked is elicited. Questions dealing with overtime include number of extra hours worked and rate of pay. For dual jobholders, data are provided on starting and ending times of the work day, number of weekly hours worked, earnings, occupation, industry, and main reason for working more than one job. Questions are included about primary job-related activities completed at home and about temporary work. Data on volunteer work are also provided. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR09809.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Before the COVID-19 pandemic in 2020 only 14.4 percent of the respondents primarily worked from home (WFH), which is significantly less compared to the 44.6 percent of respondents who WFH now in the midst of the pandemic. Interestingly enough, respondents answered that many would go back to their respective physical facility or the field after a vaccine is available.

Physical workplaces However, following the COVID-19 pandemic, the physical workplaces will change as the percentage of personnel that will primarily WFH is projected to be seven percent more than prior to the worldwide pandemic. Other studies have suggested that post-pandemic, almost 50 percent of enterprises worldwide are projected to have a distributed workforce, compared to around 30 percent before the Covid-19 pandemic.

Distributed workforce A distributed workforce may become the new normal, as it is projected that by 2023, 75 percent of the top Forbes Global 2000 companies will have commitments to a hybrid workforce design. It is worth noting that to work distributedly is different than only working remote, as to "work distributedly" assumes that there is not a single central location to work from. Instead, the company is distributed among various working environments. This allows personnel to engage either locally, remotely, in the field, or switching between locations as they please. This permits for a more fluid working environment, as many throughout the world either like or love WFH.

Brazil Working Age Population: Employed: Northeast: Employees data was reported at 13,396.000 Person th in Mar 2019. This records a decrease from the previous number of 13,616.000 Person th for Dec 2018. Brazil Working Age Population: Employed: Northeast: Employees data is updated quarterly, averaging 13,574.000 Person th from Mar 2012 (Median) to Mar 2019, with 29 observations. The data reached an all-time high of 14,317.000 Person th in Dec 2014 and a record low of 12,812.000 Person th in Mar 2017. Brazil Working Age Population: Employed: Northeast: Employees data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBA018: Continuous National Household Sample Survey: Working Age Population: Employed: by Employment Status in the Main Job. Employees are people who worked for an employer, usually forcing himself to fulfill a day's work and receiving in return a cash payment, goods, products or benefits (housing, food, clothing, etc.).

Brazil Working Age Population: % Share: Employed: South: Domestic Worker data was reported at 5.700 % in Mar 2019. This records an increase from the previous number of 5.600 % for Dec 2018. Brazil Working Age Population: % Share: Employed: South: Domestic Worker data is updated quarterly, averaging 5.500 % from Mar 2012 (Median) to Mar 2019, with 29 observations. The data reached an all-time high of 5.700 % in Mar 2019 and a record low of 5.200 % in Sep 2015. Brazil Working Age Population: % Share: Employed: South: Domestic Worker data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBA036: Continuous National Household Sample Survey: Working Age Population: % Share: Employed: by Employment Status and Category. People that worked, at least, one hour, paid in cash, products, goods or benefits or work without direct compensation, to aid with the economic activity of the household member, or even people who had paid work but temporarily not working.

Data on place of work status by language spoken most often at home for the employed labour force aged 15 years and over, in private households in census metropolitan areas, tracted census agglomerations and census tracts of work.

Abstract copyright UK Data Service and data collection copyright owner.

The Annual Population Survey (APS) household datasets are produced annually and are available from 2004 (Special Licence) and 2006 (End User Licence). They allow production of family and household labour market statistics at local areas and for small sub-groups of the population across the UK. The household data comprise key variables from the Labour Force Survey (LFS) and the APS 'person' datasets. The APS household datasets include all the variables on the LFS and APS person datasets, except for the income variables. They also include key family and household-level derived variables. These variables allow for an analysis of the combined economic activity status of the family or household. In addition, they also include more detailed geographical, industry, occupation, health and age variables.

For further detailed information about methodology, users should consult the Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages.

Occupation data for 2021 and 2022
The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022

End User Licence and Secure Access APS data
Users should note that there are two versions of each APS dataset. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes Government Office Region geography, banded age, 3-digit SOC and industry sector for main, second and last job. The Secure Access version contains more detailed variables relating to:

• age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child
• family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family
• nationality and country of origin
• geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district
• health: including main health problem, and current and past health problems
• education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships
• industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from
• occupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant from
• system variables: including week number when interview took place and number of households at address

The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.
Main Topics:
Topics covered include: household composition and relationships, housing tenure, nationality, ethnicity and residential history, employment and training (including government schemes), workplace and location, job hunting, educational background and qualifications.