Global gender labor gap signals (female-male gaps, convergence flags)
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.
Quality
Attribution
International Labour Organization, ILOSTAT, https://ilostat.ilo.org/data/; derived signals by Frontier Data Hub
Schema
| Column | 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 |
Sample rows
| date | country | country_code | series_id | series_label | value | gap_trend_10y | convergence_flag | anomaly_flag | rank |
|---|---|---|---|---|---|---|---|---|---|
| 1990-01-01 | Afghanistan | AFG | GAP_LFP_FM | Female-minus-male labour force participation rate gap (percentage points, ILO modelled estimates) | -64.261 | — | 0 | 0 | 6 |
| 1990-01-01 | Angola | AGO | GAP_LFP_FM | Female-minus-male labour force participation rate gap (percentage points, ILO modelled estimates) | -3.4110000000000014 | — | 0 | 0 | 182 |
| 1990-01-01 | Albania | ALB | GAP_LFP_FM | Female-minus-male labour force participation rate gap (percentage points, ILO modelled estimates) | -20.430999999999997 | — | 0 | 0 | 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 | — | 0 | 0 | 9 |
| 1990-01-01 | Argentina | ARG | GAP_LFP_FM | Female-minus-male labour force participation rate gap (percentage points, ILO modelled estimates) | -32.982000000000006 | — | 0 | 0 | 59 |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
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/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)API endpoint: https://datazimuts.com/v1/datasets/gender_labor_gap_signals/global_gender_labor_gap_signals
Tip: fetch /llms.txt for the full machine-readable catalog.