SECO labour market: unemployment, vacancies, workforce indicators
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π¨π Part of the Swiss Public Data MCP Portfolio
π English | Deutsch
An MCP (Model Context Protocol) server for Swiss labor market data from SECO (Staatssekretariat fΓΌr Wirtschaft) and AMSTAT via opendata.swiss.
This server connects AI models to Swiss labor market statistics β unemployment rates, job seekers, open positions, youth unemployment, and occupational breakdowns β all without requiring an API key.
Primary audiences:
Anchor query:
"Welche Berufsgruppen haben im Kanton ZΓΌrich die hΓΆchste Jugendarbeitslosigkeit, und welche Lehrberufe unterliegen der Stellenmeldepflicht?"
β More use cases by audience β
| Source | Description | Status |
|---|---|---|
| opendata.swiss | CKAN catalogue; the pinned BFS table T3.3.0.1 carries the SECO annual series | β Live |
| arbeit.swiss | Monthly press reports (PDF, structured URL pattern) | β Live |
| amstat.ch | AMSTAT reference portal | β οΈ JavaScript SPA, no public REST API |
| unfallstatistik.ch | Unfallstatistik UVG (SSUV/KSUV c/o Suva) β occupational accidents and diseases | β οΈ PDF only, no API (see below) |
SECO is no longer a publisher on opendata.swiss. Verified 2026-08-14:
organization_show returns 404, and none of the 176 entries in
organization_list is SECO. Until then the server filtered every search on
that organisation and therefore returned nothing β a name lookup that
misses looks exactly like an empty search.
The registered unemployed and job seekers are still SECO's figures: the BFS
publishes them in table T3.3.0.1 and names SECO in the footer. The server
reads that table through a pinned dataset id (sources.py), checked
against the live source by a live test.
| Series | 2000 | 2025 |
|---|---|---|
| Registered job seekers (SECO) | 124.6 | 214.1 |
| Registered unemployed (SECO) | 72.0 | 133.7 |
| ILO unemployed (BFS) | 126.5 | 248.5 |
thousands, annual average
The three series do not measure the same thing: in 2000 the ILO figure is 1.76Γ the registered one. The server reports them separately and labelled, and never converts one into the other.
There is no national monthly series β but four cantons publish their own
RAV figures, each in its own portal with its own column names. For those,
seco_get_unemployment_overview(canton=β¦) returns real values:
| Canton | Granularity | from | Level | Note |
|---|---|---|---|---|
| TG | monthly | 2016-01 | canton | only series by age class β youth unemployment as a count |
| FR | monthly | 2004-01 | canton and Switzerland | carries the national monthly figure as a comparison row |
| ZG | monthly | 1993-01 | canton | youth unemployment only as a rate, not a count |
| ZH | annual | 1991 | municipality | no monthly values; districts and regions sit in the same column as municipalities and are separated out |
The other 22 cantons get a named refusal β no figure from another canton and no national aggregate. Partial coverage that feels complete is worse than none.
The four series are not comparable with each other and do not add up to a Swiss figure: different time axes, different geographic levels, and in ZG's case a rate rather than a count.
Still not available: unemployment by occupational group, open positions as a national series, and youth unemployment for Switzerland or for 24 of the 26 cantons. The affected tools say so and return no substitute figure. These values exist interactively on amstat.ch, which offers no interface a server could call.
| Tool | Description | Key Use Case |
|---|---|---|
seco_search_datasets | Search labour-market datasets on opendata.swiss (publisher shown per hit) | Discovery |
seco_get_dataset | Full metadata + download links for a dataset | Data access |
seco_get_unemployment_overview | Registered unemployed: national annual, cantonal for TG/FR/ZG/ZH | Labor market overview |
seco_get_youth_unemployment | Youth unemployment (15β24) β TG (count) and ZG (rate) only | π Berufswahlberatung |
seco_get_job_seekers | Registered job seekers, national, annual series from 2000 | Training demand |
seco_get_open_positions | Open positions β no national series available | Sector analysis |
seco_get_unemployment_by_occupation | Breakdown by Berufshauptgruppe β no machine-readable source | π Vocational guidance |
seco_get_monthly_report_url | Generate/verify PDF report URL | Source access |
seco_list_cantons | All 26 canton codes and names | Utility |
seco_get_uvg_overview | UVG key figures on occupational accidents and diseases | Risk overview |
seco_get_uvg_by_branch | Results per NOGA 2008 economic branch | π Vocational guidance |
seco_get_uvg_trends | Ten-year accident time series per branch | Trend analysis |
12 of a maximum of 15 tools.
The three seco_get_uvg_* tools cover the risk side of the same labour market
the unemployment tools describe: how many occupational accidents and diseases
occur per branch, and how that develops over ten years.
The publisher is not SECO. The Unfallstatistik UVG is issued by the
Koordinationsgruppe KSUV and the Sammelstelle SSUV c/o Suva, Lucerne. The
seco_ prefix addresses this server, not the source; every response names the
actual publisher in its source field.
Verified live on 2026-08-05, full write-up in
PROBE_REPORT_UVG.md.
The source has no API. A link scan across every data page returned 165 PDFs
and zero files with .csv, .xlsx or .json. opendata.swiss does not list the
source at all (count=0 for six of seven search terms), and the BFS dam-api
silently ignores its filter parameters. What remains is machine-readable in
practice but not by design:
| Access | Format | Refresh |
|---|---|---|
schluesselzahlen_d.htm | HTML table, 5 years, Switzerland-wide | annually |
Ts{YY}.pdf | annual edition, tables 1.2 and 2.4 by NOGA | annually, June |
WirtKl_{BUV|NBUV}_{NN}.pdf | ten-year series per NOGA division | annually, January |
PDFs are cached for 24 h and fetched with 2s/4s/8s backoff.
source_freshness.data_year β the data year, not the edition year. The
2026 edition reports 2024; that two-year lag is stated, not buried.totals_check β parsed rows are summed and compared against the total
printed in the same publication. A broken layout shows up here instead of
becoming a plausible wrong number.significant β the source marks statistically significant year-on-year
changes with an asterisk. That flag is preserved per data point, so a change
is only reported as significant where the source says so.Add to claude_desktop_config.json:
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