analysis with public INE data
behind the data: chile's labor market
The unemployment rate is a single number. Behind it are 9.3 million people working, almost a million looking for work without finding it, and gaps the average doesn't show.
We processed almost 10 million records from the National Employment Survey, since 2018, and checked every national figure against INE's bulletins.
Latest quarter published: June-August 2026. Source: INE, National Employment Survey.
out of every 100 people aged 15 or older
- 56 work
- 6 look for work without finding it
- 38 neither work nor look for work
the June-August 2026 snapshot
four figures to understand the quarter.
- unemployment rate
- 9.6%
- 1.0 point higher than a year ago
- employed people
- 9,273,745
- 81,352 fewer than a year ago
- labor force participation
- 61.5%
- of people aged 15 or older work or look for work
- informality
- 26.3%
- of employed people work without health and pension contributions
what the data shows
what the average doesn't tell you.
Job growth has stalled
After three years of adding jobs, in June-August 2026 there are 81,352 fewer employed people than a year earlier, and unemployment rose from 8.6% to 9.6%.
Young people are hit hardest
22.8% of young people aged 15 to 24 who look for work can't find it: 2.4 times the national rate.
A persistent gender gap
Women have higher unemployment than men (10.3% vs. 9.1%) and participate far less in the labor market (53.0% vs. 70.3%).
One country, different realities
Ñuble has the highest unemployment (11.2%) and Aysén the lowest (4.0%). Manufacturing lost 69,719 jobs in a year; administrative services added 34,261.
the full analysis
every figure, in context.
Five views: the national picture, regions from north to south, gaps by age, sex and education, economic sectors, and how it was built. Every table can be downloaded to Excel. The dashboard is in Spanish.
The dashboard is designed for large screens: on a phone, rotate it or zoom in to read the details.
National figures match INE's bulletins to the decimal.
new: MCP for AI agents
ask the data from your AI agent
Connect Claude, ChatGPT, Cursor or another agent to the semantic layer behind this analysis. Your agent picks the metrics and the semantic layer computes the figure: the same numbers as the dashboard, not made up by the model.
connect my agent →- Sign up with your email and pick your agent.
- Get your personal access and setup steps by email.
- Ask in your own words: “where did youth unemployment rise the most this year?”
how we built it
what gets published can be verified.
- 01 · Python · DuckDB
Ingestion
A script downloads INE's microdata and loads almost 10 million records into DuckDB, keeping only the columns the analysis uses.
- 02 · dbt
Modeling and verification
dbt computes every figure with the official expansion factors and, on every update, compares it with INE's bulletins. If one doesn't match, the process stops.
- 03 · dbt Charts · MetricFlow
Dashboards and agents
The dashboard and the MCP for AI agents read the same verified tables. For agents, every metric is defined only once: they pick it, they don't write SQL.
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