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ILO modelled estimates: labour force participation rate by sex (annual)

Labour force participation rate for ages 15 and over by sex, annual, for ~190 countries. ILO modelled estimates (ILOEST), vintage Nov. 2025 — dataflow DF_EAP_2WAP_SEX_AGE_RT.

Source: ILO ILOSTAT31,392 lignesMis à jour: 21/09/2026Licence: CC-BY-4.0
employmentlabourilomodelled-estimates

Qualité

100

Attribution

International Labour Organization, ILOSTAT, https://ilostat.ilo.org/data/

Schéma

ColonneTypeDescription
datestringObservation year from the ILO SDMX TIME_PERIOD dimension (annual frequency, FREQ=A), stored as January 1 of that year.
series_idstringILOSTAT dimension codes from the SDMX response as REF_AREA.SEX, e.g. 'USA.SEX_T' (United States of America, Total). REF_AREA codes are ISO alpha-3 country codes; SEX is the ILO codelist CL_SEX.
series_labelstringCountry name from the ILO codelist CL_AREA and sex label from the ILO codelist CL_SEX, joined as 'Country — Sex', e.g. 'United States of America — Total'.
valuefloatOBS_VALUE from the ILO SDMX response for DF_EAP_2WAP_SEX_AGE_RT, age band 15+. Unit of measure reported by the ILO as PT (percent) — a rate in percent. (unit: percent)

Exemple de lignes

dateseries_idseries_labelvalue
1990-01-01AFG.SEX_FAfghanistan — Female15.739
1991-01-01AFG.SEX_FAfghanistan — Female15.695
1992-01-01AFG.SEX_FAfghanistan — Female15.618
1993-01-01AFG.SEX_FAfghanistan — Female15.506
1994-01-01AFG.SEX_FAfghanistan — Female15.358

Utiliser avec un LLM

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/ilostat/ilo_labour_force_participation" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/ilostat/ilo_labour_force_participation").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

Point d’accès API: https://datazimuts.com/v1/datasets/ilostat/ilo_labour_force_participation

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.