A 2022 survey found that ** million Americans have been offered the option to work remotely either full- or party-time. 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 a global survey conducted with CIOs, respondents stated that fully remote work will likely transition to hybrid work in the future. About 15 to 16 percent stated their companies’ workforce worked remotely prior to the pandemic, and as of late 2021, 30 percent of respondents expected the workforce to be working remotely permanently. By 2022, 36 percent of respondents expected to be working in a hybrid model permanently.

These figures are experimental estimates of online job adverts provided by Adzuna, an online job search engine. The number of job adverts over time is an indicator of the demand for labour. To identify these adverts we have applied text-matching to find job adverts which contain key phrases associated with homeworking such as “remote working”, “work from home”, “home-based” and “telework”. The data do not separately identify job adverts which exclusively offer homeworking from those which offer flexible homeworking, such as one day a week from home.

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.

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.

Average percentage of workforce anticipated to work on-site or telework over the next three months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2021.

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.

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.

F7141 - Population Aged 15 Years and Over at Work by Working from Home Days. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Population Aged 15 Years and Over at Work by Working from Home Days...

This dataset denotes Local Employment Dynamics (LED) data relative to Grantee areas for the Home Investment Partnership (HOME) Program. The LED Partnership is a voluntary federal-state enterprise created for the purpose of merging employee, and employer data to provide a set of enhanced labor market statistics known collectively as Quarterly Workforce Indicators (QWI). The QWI are a set of economic indicators including employment, job creation, earnings, and other measures of employment flows.

United States AHE: sa: PW: FA: Home Health Equipment Rental data was reported at 25.010 USD in Nov 2024. This records a decrease from the previous number of 25.330 USD for Oct 2024. United States AHE: sa: PW: FA: Home Health Equipment Rental data is updated monthly, averaging 16.000 USD from Jan 1990 (Median) to Nov 2024, with 419 observations. The data reached an all-time high of 25.640 USD in Sep 2024 and a record low of 9.420 USD in Jan 1990. United States AHE: sa: PW: FA: Home Health Equipment Rental data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G076: Current Employment Statistics: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

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 ...

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

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.

Introduction

Digital Nomad Statistics: Remote working and traveling: who doesn’t love this combo? The COVID-19 pandemic just brought one good thing: the remote work culture! Before this, only top-level managers were allowed to work from home. However, since then, there has been a significant increase in the number of nomads, digital nomads, who live and work in the countries they travel to. These digital nomads earn their livelihood by working remotely and traveling simultaneously.

What do you need to become a digital nomad? It’s just some finance, a laptop, a working internet connection, and a passion for travel, that’s all! Let’s see if these Digital Nomad Statistics make you want to turn your life into a digital nomad!

United States Employment: NF: PW: RT: Furniture & Home Furnishings Store data was reported at 400.600 Person th in May 2018. This records an increase from the previous number of 400.500 Person th for Apr 2018. United States Employment: NF: PW: RT: Furniture & Home Furnishings Store data is updated monthly, averaging 388.300 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 504.400 Person th in Dec 2006 and a record low of 321.800 Person th in Feb 1992. United States Employment: NF: PW: RT: Furniture & Home Furnishings Store data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G030: Current Employment Statistics Survey: Employment: Production Worker: Non Farm.

This dataset provides Census 2021 estimates that classify usual residents in England and Wales by method used to travel to work (2001 specification) and by age. The estimates are as at Census Day, 21 March 2021.

_As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Due to methodological changes the ‘mainly work at or from home: any workplace type’ category has a population of zero. Please use the transport_to_workplace_12a classification instead. Read more about this quality notice._

Estimates for single year of age between ages 90 and 100+ are less reliable than other ages. Estimation and adjustment at these ages was based on the age range 90+ rather than five-year age bands. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower tier local authorities

Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities.

Coverage

Census 2021 statistics are published for the whole of England and Wales. However, you can choose to filter areas by:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Method used to travel to workplace

A person's place of work and their method of travel to work. This is the 2001 method of producing travel to work variables.

"Work mainly from home" applies to someone who indicated their place of work as their home address and travelled to work by driving a car or van, for example visiting clients.

Age

A person’s age on Census Day, 21 March 2021 in England and Wales. Infants aged under 1 year are classified as 0 years of age.

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2013 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..Workers include members of the Armed Forces and civilians who were at work last week..In data year 2013, there were a series of changes to data collection operations that could have affected some estimates. These changes include the addition of Internet as a mode of data collection, the end of the content portion of Failed Edit Follow-Up interviewing, and the loss of one monthly panel due to the Federal Government shut down in October 2013. For more information, see: User Notes.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2013 American Community Survey

This dataset from the Bureau of Labor Statistics provides monthly estimates regarding total employment and unemployment, which together comprise the labor force. Our data extract lists all data published for North Carolina’s counties from January 2019 to the present. This dataset is a comprehensive nationwide representation using estimates derived from the national Current Population Survey (CPS) and American Community Survey 5-year estimates. No disaggregations by demographic or worker characteristics are included in the labor force estimate. Time series reports for each variable (employment, unemployment, and labor force) are available for each geography (county) using the BLS multi-screen data tool. Preliminary estimates are released within 30 days of each month and finalized within another 30 days, resulting in a 2-month data lag. The data is available from BLS for a variety of geographic areas, including states, MSAs, counties, cities and towns, and other census regions.

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 14 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 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. This is the first Current Population Survey to contain questions about temporary work and about primary job-related activities completed at home.