Obrii
Free tool · interactive mapTalent Atlas
Pick a role or a story and the map shows where it is denser or scarcer — linked to our job dictionary.
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From the map to hiring
If you spotted scarcity or density in a market, we can help you find that profile or assess it rigorously.
Sources & method
The atlas combines Obrii's ISCO dictionary taxonomy with public indicators. In this MVP, density values are a curated illustrative index; SPI comes from the World Bank Statistical Performance Indicators project.
References
- ILOSTAT employment indicators (contextual; occupation density stub until ETL)
- World Bank Statistical Performance Indicators (SPI) — github.com/worldbank/SPI
- Stacy & Laesser (2026). Skills Are Used and Built on the Job. Atlas of Global Development 2026
- Jedwab et al. (2023). Human Capital Accumulation at Work. AEJ Macro
- Gindling & Newhouse (2014). Self-employment in the developing world
- OECD et al. (2026). Perspectivas económicas de América Latina 2025
- Obrii Diccionario de Cargos (MAPHA/ESCO ISCO-08)
Preguntas frecuentes
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What the atlas is, where data comes from, and how it links to the dictionary.
- What is the Talent Atlas?
- A free Obrii tool to explore relative density of professions by country. Pick a role (or a story) and the map paints instantly — no signup.
- Are the numbers official statistics?
- In the MVP they are a curated illustrative relative index for exploration — not for regulatory decisions. Once ILOSTAT and SPI are wired end-to-end, the illustrative badge goes away and every cell will cite year and source.
- How does it link to the job dictionary?
- Every atlas role uses the same ISCO/MAPHA slug as the dictionary. From the country panel you can open the profile with skills, editorial copy, and bridges to assessment or headhunting.
- Why only some roles?
- We start with a curated set (~10 roles × ~15 countries) to protect UX and data honesty. The full dictionary remains available to search any occupation.