ILO: labour force participation by sex and education (annual)
Labour force participation rate by sex and educational attainment, annual, for ~190 countries, from the ILO's ILOSTAT reported database (national labour force surveys and microdata processing — not the ILOEST modelled estimates) — dataflow DF_EAP_DWAP_SEX_EDU_RT. Method: the labour force (employed plus unemployed) as a percentage of the working-age population, broken down by six harmonized aggregate education levels (total; less than basic; basic; intermediate; advanced; level not stated) that are comparable across national classifications. Units: percent. Caveats: these are nationally reported figures under the previous ILO definition (ICLS13), not harmonized modelled estimates, so cross-country comparability is weaker than for the modelled slices; age coverage follows national definitions (e.g. 16+ in the United States); country-year coverage varies and series carry breaks when national methodology is revised.
- Source
- ILO ILOSTAT
- Rows
- 39,471
- Columns
- 4
- Source cadence
- Yearly
- Last refreshed
- Sep 23, 2026
- Theme
- education
| Column | Type | Description |
|---|---|---|
| date | date | Observation year from the ILO SDMX TIME_PERIOD dimension (annual frequency, FREQ=A), stored as January 1 of that year. |
| series_id | string | ILOSTAT dimension codes from the SDMX response as REF_AREA.SEX.EDU, e.g. 'USA.SEX_T.EDU_AGGREGATE_ADV' (United States of America, Total, Advanced). REF_AREA codes are ISO alpha-3 country codes; SEX is the ILO codelist CL_SEX; EDU is the harmonized aggregate education level from the ILO codelist CL_EDU. |
| series_label | string | Country name from the ILO codelist CL_AREA, sex label from CL_SEX and education label from CL_EDU, joined as 'Country — Sex — Education', e.g. 'United States of America — Total — Advanced'. |
| value | float | OBS_VALUE from the ILO SDMX response for DF_EAP_DWAP_SEX_EDU_RT, education level: six harmonized aggregate education levels: total; less than basic; basic; intermediate; advanced; level not stated. Unit of measure reported by the ILO as PT (percent) — a share in percent. (unit: percent) |
First 10 sample rows — a preview, not the complete dataset.
| date | series_id | series_label | value |
|---|---|---|---|
| 2014-01-01 | AFG.SEX_F.EDU_AGGREGATE_ADV | Afghanistan — Female — Advanced | 67.792 |
| 2017-01-01 | AFG.SEX_F.EDU_AGGREGATE_ADV | Afghanistan — Female — Advanced | 48.643 |
| 2020-01-01 | AFG.SEX_F.EDU_AGGREGATE_ADV | Afghanistan — Female — Advanced | 34.145 |
| 2021-01-01 | AFG.SEX_F.EDU_AGGREGATE_ADV | Afghanistan — Female — Advanced | 32.509 |
| 2014-01-01 | AFG.SEX_F.EDU_AGGREGATE_BAS | Afghanistan — Female — Basic | 24.459 |
| 2017-01-01 | AFG.SEX_F.EDU_AGGREGATE_BAS | Afghanistan — Female — Basic | 17.16 |
| 2020-01-01 | AFG.SEX_F.EDU_AGGREGATE_BAS | Afghanistan — Female — Basic | 13.373 |
| 2021-01-01 | AFG.SEX_F.EDU_AGGREGATE_BAS | Afghanistan — Female — Basic | 16.976 |
| 2014-01-01 | AFG.SEX_F.EDU_AGGREGATE_INT | Afghanistan — Female — Intermediate | 33.346 |
| 2017-01-01 | AFG.SEX_F.EDU_AGGREGATE_INT | Afghanistan — Female — Intermediate | 18.192 |
Profiled Sep 23, 2026 from snapshot 20260923T153358Z-a05c83ce670a
Measured- Completeness
- 99.5%
- Rows
- 39,471
- Columns
- 4
- Columns with gaps
- 1
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| datedate | 0% | 48 | Jan 1, 1970 → Jan 1, 2025 | — |
| series_idvarchar | 0% | 3,672 | — |
|
| series_labelvarchar | 0% | 3,155 | — |
|
| valuedouble | 2.2% | 27,419 | 0 → 100median 62.63 | 774 outside 1st–99th percentile |
- Current
20260923T153358Z-a05c83ce670a · sha256 a05c83ce670a…
39,471 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/ilostat/ilo_labour_force_participation_by_education" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/ilostat/ilo_labour_force_participation_by_education").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/ilostat/ilo_labour_force_participation_by_education
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20260923T153358Z-a05c83ce670a and its content hash, so readers get exactly the data you used.
ILO ILOSTAT. (2026). ILO: labour force participation by sex and education (annual) [Data set, snapshot 20260923T153358Z-a05c83ce670a, sha256 a05c83ce670a]. Datazimuts. Retrieved 2026-09-23, from https://datazimuts.com/en/datasets/ilostat/ilo_labour_force_participation_by_education?snapshot=20260923T153358Z-a05c83ce670a
@misc{dz_ilostat_ilo_labour_force_participation_b_a05c83ce,
title = {{ILO: labour force participation by sex and education (annual)}},
author = {{ILO ILOSTAT}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/ilostat/ilo_labour_force_participation_by_education?snapshot=20260923T153358Z-a05c83ce670a}},
note = {Snapshot 20260923T153358Z-a05c83ce670a, sha256 a05c83ce670aeda74454d4618b261b844e27a62acabe1f32c361312944f73907; accessed 2026-09-23}
}Embed a table or a chart
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