Global Employment Structure

How the world actually works, in one clean Parquet - not headline unemployment but the STRUCTURE of employment: the share of workers in vulnerable jobs (own-account + unpaid family labour), the self-employed share, the agriculture/industry/services split, and youth unemployment - per country per year since 2000, ~200 countries. The development-economics panel that separates a formal-services economy from an agrarian-informal one; the vulnerable and agriculture lines are the structural-transformation story of the emerging world that OECD-only labour data can't tell. Joins the labour, education and country-profile products on ISO-3 code. Worldwide - the emerging-market coverage that matters.

What's included

• 9 indicators × ~200 countries × 2000-present - vulnerable/self-employed/wage/family workers, emp-to-pop, sector split, youth
• Worldwide incl. emerging markets; the STRUCTURE of work, not just the unemployment rate
• Vulnerable + agriculture shares = the structural-transformation / informality lens
• country (ISO3) × indicator × year; joins global-labour-market, global-education
• Source: World Bank Open Data / ILO modelled estimates (CC-BY-4.0) - fully redistributable

Schema

Sample & preview

Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: World Bank (redistributable open data; attribution passes through - see our Licence).

import pandas as pd
df = pd.read_parquet("global-employment-structure_sample.parquet")
df.info()   # typed columns, gap-aware, ready to join