SDG 8.3.1: informal employment rate by sex (annual)
Informal employment as a percentage of total employment by sex, annual, for 234 countries, territories and ILO aggregates (2000 to the latest year, 10,281 observations). ILO SDG indicator 8.3.1, harmonized across national labour force surveys and ILO-STATISTICS microdata processing — dataflow DF_SDG_0831_SEX_ECO_RT, ECO_SECTOR_TOTAL (all economic activities). Method: employed persons in informal employment (own-account workers in the informal sector, contributing family workers, informal employees and members of informal producers' cooperatives) as a percentage of total employment. Units: percent. Caveats: coverage is sparse for high-income countries (Canada has no published series, Germany's ends in 2022); the latest 2026-2027 rows for many countries are ILO modelled estimates rather than reported survey data; figures are revised when the ILO publishes a new vintage.
- Source
- ILO ILOSTAT
- Rows
- 10,281
- Columns
- 4
- Source cadence
- Yearly
- Last refreshed
- Sep 28, 2026
- Theme
- labor
| 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, e.g. 'USA.SEX_T' (United States of America, Total). REF_AREA codes are ISO alpha-3 country codes; SEX is the ILO codelist CL_SEX. |
| series_label | string | Country name from the ILO codelist CL_AREA and sex label from the ILO codelist CL_SEX, joined as 'Country — Sex', e.g. 'United States of America — Total'. |
| value | float | OBS_VALUE from the ILO SDMX response for DF_SDG_0831_SEX_ECO_RT, economic activity all economic activities (total). 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 |
|---|---|---|---|
| 2021-01-01 | AFG.SEX_F | Afghanistan — Female | 97.295 |
| 2021-01-01 | AFG.SEX_M | Afghanistan — Male | 82.645 |
| 2021-01-01 | AFG.SEX_T | Afghanistan — Total | 86.135 |
| 2004-01-01 | AGO.SEX_F | Angola — Female | 89.021 |
| 2011-01-01 | AGO.SEX_F | Angola — Female | 91.334 |
| 2019-01-01 | AGO.SEX_F | Angola — Female | 93.92 |
| 2020-01-01 | AGO.SEX_F | Angola — Female | 94.702 |
| 2021-01-01 | AGO.SEX_F | Angola — Female | 94.566 |
| 2022-01-01 | AGO.SEX_F | Angola — Female | 95.394 |
| 2023-01-01 | AGO.SEX_F | Angola — Female | 97.174 |
- Current
20260928T093829Z-4758dc5c31da · sha256 4758dc5c31da…
10,281 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_informal_employment_rate" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/ilostat/ilo_informal_employment_rate").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_informal_employment_rate
Tip: fetch /llms.txt for the full machine-readable catalog.
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Cite this snapshot
Pinned to snapshot 20260928T093829Z-4758dc5c31da and its content hash, so readers get exactly the data you used.
ILO ILOSTAT. (2026). SDG 8.3.1: informal employment rate by sex (annual) [Data set, snapshot 20260928T093829Z-4758dc5c31da, sha256 4758dc5c31da]. Datazimuts. Retrieved 2026-09-28, from https://datazimuts.com/en/datasets/ilostat/ilo_informal_employment_rate?snapshot=20260928T093829Z-4758dc5c31da
@misc{dz_ilostat_ilo_informal_employment_rate_4758dc5c,
title = {{SDG 8.3.1: informal employment rate by sex (annual)}},
author = {{ILO ILOSTAT}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/ilostat/ilo_informal_employment_rate?snapshot=20260928T093829Z-4758dc5c31da}},
note = {Snapshot 20260928T093829Z-4758dc5c31da, sha256 4758dc5c31dab2aeba84cf2c55582a572ff1eeeb7bbc98ae0e75950db86329e8; accessed 2026-09-28}
}Embed a table or a chart
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