This page contains selected figures, as well as a portal for researchers to access the data used in our research paper: “Remote Work across Jobs, Companies, and Space” (Hansen, Lambert, Bloom, Davis, Sadun & Taska, 2023). Also watch Steven Davis discuss some implications of this work for the WFH-divide.
The below figures are interactive and data are available to download
Note: This figure shows the percent of vacancy postings that say the job allows one or more remote workdays per week. We compute these monthly, country-level shares as the weighted mean of the own-country occupation-level shares, with weights given by the U.S. vacancy distribution in 2019. Our occupation-level granularity is roughly equivalent to six-digit SOC codes. Figures depicts the 3-month moving average. Access data.
Note: This figure shows the percent of new vacancy postings from April 2022 to August 2023 across selected US Counties that say the job allows one or more remote workdays per week. We omit any county with fewer than 1,000 observations. Tip: Double-click area to enlarge! Access data.
Note: This figure shows the monthly percent of new vacancy postings across selected US cities that say the job allows one or more remote workdays per week. Access data.
Note: This figure shows the percent of new vacancy postings across NAICS industry sectors that say the job allows one or more remote workdays per week. Access data.
How we measure advertised remote work…
Our team of researchers joined forces with Lightcast to develop a large language model (LLM) that “reads” job ads and determines whether it offers the ability to work remotely at least one day a week.
Our data span the near-universe of new online job vacancy postings, and currently contains over 250 million documents.
Our approach to measurement has a number of distinct benefits (and some drawbacks). For example:
- Our dataset is huge, covering five countries, thousands of cities and employers, and all industries and occupation groups
- New vacancies are posted daily, allowing us to measure advertised remote work in near-realtime. We plan to update the data regularly.
- The LLM we developed achieves a 99% accuracy at identifying remote work job ads
- We measure explicit offers of remote work in new job ads, not the number of employees who work-from-home (for this, see survey measures available at wfhresearch.com)
These data may be used by researchers and other interested parties. For any specific data requests, media comments, or technical issues, please contact us.