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 rowsUpdated: 9/22/2026License: CC-BY-4.0

youth-unemploymentlabor-marketgender-gapilostatvolatilitymomentumanomaly-detectionforecastingsignalsilo

Quality

98.7

Attribution

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

Schema

Column	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

Sample rows

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	—	—	—	—

Download sample data

Download the full sample snapshot for this dataset (sample rows, not the complete dataset).

Download sample CSV Download sample JSON

Use with an LLM

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)

API endpoint: https://datazimuts.com/v1/datasets/youth_labor_signals/global_youth_unemployment_signals

Tip: fetch /llms.txt for the full machine-readable catalog.