About

This project visualizes trends in remote work across countries and industries. It draws on job-posting data and large-scale survey results to show how flexible work arrangements have changed the labor market since 2020.

Data Sources & References

1. LinkedIn / Indeed remote job postings dataset
   Occupation-weighted share of job postings advertising remote or hybrid work, 2019–2024. Country coverage: AT, AU, BE, CA, CH, DE, ES, FR, GB, IE, IL, IT, JP, LU, MX, NL, NZ, PL, SE, US. Dataset: dataset_occupation_country_dec2024-1.csv.
2. RMAP Global Remote Work Survey
   Large-scale survey on remote-work preferences, productivity, commute, work-life balance, and relocation behaviour. Source workbook: RMAP_Data_Descriptor_Data.xlsx. Browser-ready extracts: rmap_survey_chart_data.csv and rmap_relocation_reasons.csv.

   RMAP Respondent Demographics

   The dashboard uses a curated RMAP extract of 18,414 remote, hybrid, and onsite workers. The profile below describes that survey respondent base.

   Age Distribution

   • 18–25: 17.9%
   • 26–35: 43.0%
   • 36–45: 22.0%
   • 46–55: 10.9%
   • 56+: 6.1%

   Median age: 33 years

   Gender

   • Male: 51.1%
   • Female: 47.1%
   • Non-binary: 1.0%
   • Prefer not to mention: 0.3%

   Top Countries

   • United Kingdom: 44.0%
   • Canada: 6.8%
   • United States: 5.8%
   • Germany: 5.7%
   • Poland: 5.1%

   Survey covered 50+ countries globally

3. Household Trends and Outlook Pulse Survey (HTOPS)
   U.S. public-use respondent-level microdata used for the mental-health section. The visualization uses HTOPS_HPS_2603_PUF.csv and derives a browser-ready weighted summary, htops_mental_health_by_telework.csv, from workers who reported doing paid work in the previous 7 days. Mental-health outcomes include frequent loneliness, anxiety, worry, low interest, and feeling down; telework groups are based on days worked from home in the previous 7 days. Estimates use the person weight PWEIGHT. These views show associations by recent telework intensity, age, and sex; they should not be read as causal effects of remote work.

Open-Source Software

• This project was built with open-source web tools: D3.js for data visualization, Scrollama for scroll-driven story steps, and Vite for the development server and production build. The site also uses standard HTML, CSS, and JavaScript.