Global gender labor gap signals (female-male gaps, convergence flags)

Name: Global gender labor gap signals (female-male gaps, convergence flags)
Creator: Global Gender Labor Gap Signals (derived)
License: https://www.ilo.org/rights-and-permissions
Keywords: gender, labour-market, ilo, ilostat, inequality, convergence, signals

Value-added gender labour-market signals from free ILOSTAT modelled estimates: female-minus-male unemployment, participation and employment gaps with 10-year convergence trends, convergence flags, 3-sigma anomaly flags and cross-country gap ranks across ~190 countries. All computation is local pandas/numpy; no paid models or APIs.

Source: Global Gender Labor Gap Signals (derived)20,984 lignesMis à jour: 22/09/2026Licence: CC-BY-4.0

genderlabour-marketiloilostatinequalityconvergencesignals

Qualité

99.2

Attribution

International Labour Organization, ILOSTAT, https://ilostat.ilo.org/data/; derived signals by Frontier Data Hub

Schéma

Colonne	Type	Description
date	string	Reference year of the observation (first day of the year), as published in the ILOSTAT modelled estimates.
country	string
country_code	string
series_id	string	Derived series identifier: GAP_UNEMP_FM (unemployment-rate gap), GAP_LFP_FM (labour-force-participation gap), or GAP_EPR_FM (employment-to-population-ratio gap).
series_label	string	Human-readable gap label naming the labour indicator and the female-minus-male construction, from the ILOSTAT modelled estimates.
value	float	Female rate minus male rate in percentage points, computed from the ILOSTAT modelled estimates by sex (annual).
gap_trend_10y	float
convergence_flag	integer
anomaly_flag	integer
rank	float

Exemple de lignes

date	country	country_code	series_id	series_label	value	gap_trend_10y	rank
1990-01-01	Afghanistan	AFG	GAP_LFP_FM	Female-minus-male labour force participation rate gap (percentage points, ILO modelled estimates)	-64.261	—	6
1990-01-01	Angola	AGO	GAP_LFP_FM	Female-minus-male labour force participation rate gap (percentage points, ILO modelled estimates)	-3.4110000000000014	—	182
1990-01-01	Albania	ALB	GAP_LFP_FM	Female-minus-male labour force participation rate gap (percentage points, ILO modelled estimates)	-20.430999999999997	—	108
1990-01-01	United Arab Emirates	ARE	GAP_LFP_FM	Female-minus-male labour force participation rate gap (percentage points, ILO modelled estimates)	-60.476000000000006	—	9
1990-01-01	Argentina	ARG	GAP_LFP_FM	Female-minus-male labour force participation rate gap (percentage points, ILO modelled estimates)	-32.982000000000006	—	59

Télécharger un échantillon

Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).

Télécharger l'exemple CSV Télécharger l'exemple JSON

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/gender_labor_gap_signals/global_gender_labor_gap_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/gender_labor_gap_signals/global_gender_labor_gap_signals").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/gender_labor_gap_signals/global_gender_labor_gap_signals

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