Global youth unemployment signals (youth disadvantage ratio, gender gap, anomalies)

Name: Global youth unemployment signals (youth disadvantage ratio, gender gap, anomalies)
Creator: Youth Labor Signals (derived)
License: https://www.ilo.org/rights-and-permissions
Keywords: youth-unemployment, labor-market, gender-gap, ilostat, volatility, momentum, anomaly-detection, forecasting, signals, ilo

Annual ML-enriched youth labor-market signals for ~190 economies, derived from ILOSTAT: youth (15-24) unemployment by sex, the youth-disadvantage ratio (youth rate / adult rate) and the female-minus-male youth gap, with 30-period change volatility, 3-year momentum, 3-sigma anomaly flags versus a trailing 10-year baseline, naive-drift 1-year forecasts, and a per-year cross-country volatility rank. Raw data: International Labour Organization (ILOSTAT, CC BY 4.0). All rows carry ISO alpha-3 country_code and join cleanly with other labor datasets.

Source: Youth Labor Signals (derived)34,660 lignesMis à jour: 22/09/2026Licence: CC-BY-4.0

youth-unemploymentlabor-marketgender-gapilostatvolatilitymomentumanomaly-detectionforecastingsignalsilo

Qualité

98.7

Attribution

International Labour Organization (ILOSTAT; derived signals by Frontier Data Hub)

Schéma

Colonne	Type	Description
date	string	Reference year (January 1) of the ILOSTAT annual unemployment estimates.
country	string
country_code	string
series_id	string	Signal code: YOUTH_UNEMP (youth 15-24 unemployment, both sexes), YOUTH_FEMALE / YOUTH_MALE (by sex), YOUTH_DISADVANTAGE (youth rate / adult rate), YOUTH_GENDER_GAP (female minus male youth rate, pp).
series_label	string	Human-readable label for the signal series, derived from the ILOSTAT indicator names.
value	float	Signal value in native units: percent for the unemployment rates; a ratio for YOUTH_DISADVANTAGE; percentage points for YOUTH_GENDER_GAP.
volatility_30d	float
momentum_3m	float
anomaly_flag	integer
forecast_1m	float
rank	integer

Exemple de lignes

date	country	country_code	series_id	series_label	value	volatility_30d	momentum_3m	forecast_1m	rank
1991-01-01	Afghanistan	AFG	YOUTH_DISADVANTAGE	Youth unemployment rate / adult unemployment rate (youth disadvantage ratio)	1.2829904666332161	—	—	—	—
1991-01-01	Angola	AGO	YOUTH_DISADVANTAGE	Youth unemployment rate / adult unemployment rate (youth disadvantage ratio)	2.369231684110371	—	—	—	—
1991-01-01	Albania	ALB	YOUTH_DISADVANTAGE	Youth unemployment rate / adult unemployment rate (youth disadvantage ratio)	1.5224184782608694	—	—	—	—
1991-01-01	United Arab Emirates	ARE	YOUTH_DISADVANTAGE	Youth unemployment rate / adult unemployment rate (youth disadvantage ratio)	2.409453652547575	—	—	—	—
1991-01-01	Argentina	ARG	YOUTH_DISADVANTAGE	Youth unemployment rate / adult unemployment rate (youth disadvantage ratio)	2.139522058823529	—	—	—	—

Télécharger un échantillon

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

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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/youth_labor_signals/global_youth_unemployment_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/youth_labor_signals/global_youth_unemployment_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/youth_labor_signals/global_youth_unemployment_signals

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