An interactive workforce atlas. See AI exposure, robotics risk, wages, and job growth by occupation across 206 countries, built on official labour statistics. No login. No paywall.
From the United States to Nigeria, pick a country and the tool loads occupations, wages, gender mix and AI risk scores instantly.
Three clicks from any country to a full visual breakdown of who works what, and which roles AI is likely to reshape.
Choose from 206 countries. Major economies show full occupation detail with wages and growth. Every other country shows a workforce breakdown.
Switch between AI exposure, robotics risk, offshoring risk, WFH potential, median pay, projected growth, or gender breakdown.
Rectangle size = number of workers. Color = your chosen layer. Hover for details. Compare two countries side by side.
Each layer is a separate lens on the same workforce. Switch between them in one click.
Which occupations face the most disruption from generative AI and language models? Scored 0–10 for all 206 countries.
Separate from digital AI: which jobs face displacement from physical automation, robots and autonomous systems?
Official wage statistics for the world's largest economies. See which roles pay most, and how that's shifting.
What percentage of each occupation can realistically be done remotely? Data-driven, not estimated.
Every wage and employment number in WorldJobsData is drawn from official labour statistics. The same data governments, economists and researchers rely on.
AI exposure and automation risk scores are clearly labelled as estimates throughout the tool, so you always know what's measured and what's modelled.
Join researchers, policymakers and curious humans tracking how work is changing across 206 countries.
Long-form analyses on what the numbers actually say about each country's workforce.
We ranked all 341 BLS occupations by AI exposure. Clerical workers score 8.5/10 - the highest risk group among 143 million American workers.
Read the analysis →We ranked all major UK occupations using ONS data. Clerical support workers score 8.5/10 across 34 million British workers.
Read the analysis →New country analyses publishing every week. See what is live.
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