SDG 8.8.1: non-fatal occupational injuries by sex & migrant status (annual)
Non-fatal occupational injuries per 100,000 workers by sex and migrant status, annual, from the official SDG 8.8.1 series — dataflow DF_SDG_N881_SEX_MIG_RT. Method: cases of non-fatal occupational injury reported to national compensation or notification systems, divided by the reference worker population, scaled to 100,000 workers. Three series per country x sex: all workers, migrants and non-migrants. Units: injuries per 100,000 workers. Spot values (verified 2026-09-29): USA 2022 total 1,805, Canada 2023 total 1,347.6, Australia 2023 total 1,061.7. Caveats: the migrant-status breakdown is sparse — most countries publish only the total; reference populations and reporting coverage differ between countries, so cross-country levels need care — the migrant/non-migrant gap within a country-year is the comparable cut; figures are revised with each ILO vintage.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Source
- ILO ILOSTAT
- Lignes
- 3 473
- Colonnes
- 4
- Cadence de la source
- Annuelle
- Dernière actualisation
- 29 sept. 2026
- Thème
- labor
| Colonne | 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.MIG, e.g. 'ARG.SEX_T.MIG_STATUS_MIGRANT' (Argentina, Total, Migrants). REF_AREA codes are ISO alpha-3 country codes; SEX is the ILO codelist CL_SEX; MIG is the migrant-status slice of the ILO codelist CL_MIG (Total, Migrants, Non-migrants). |
| series_label | string | Country name from the ILO codelist CL_AREA, sex label from CL_SEX and migrant-status label from CL_MIG, joined as 'Country — Sex — Migrant status', e.g. 'Argentina — Total — Migrants'. |
| value | float | OBS_VALUE from the ILO SDMX response for DF_SDG_N881_SEX_MIG_RT, migrant status: all workers; migrants; non-migrants. Unit of measure reported by the ILO as RT (injuries per 100,000 workers) — injuries per 100,000 workers. (unit: injuries per 100,000 workers) |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| date | series_id | series_label | value |
|---|---|---|---|
| 2017-01-01 | ARG.SEX_F.MIG_STATUS_MIGRANT | Argentina — Female — Migrants | 3 053,065 |
| 2018-01-01 | ARG.SEX_F.MIG_STATUS_MIGRANT | Argentina — Female — Migrants | 2 783,718 |
| 2019-01-01 | ARG.SEX_F.MIG_STATUS_MIGRANT | Argentina — Female — Migrants | 1 758,514 |
| 2020-01-01 | ARG.SEX_F.MIG_STATUS_MIGRANT | Argentina — Female — Migrants | 1 154,395 |
| 2021-01-01 | ARG.SEX_F.MIG_STATUS_MIGRANT | Argentina — Female — Migrants | 912,212 |
| 2022-01-01 | ARG.SEX_F.MIG_STATUS_MIGRANT | Argentina — Female — Migrants | 1 763,292 |
| 2023-01-01 | ARG.SEX_F.MIG_STATUS_MIGRANT | Argentina — Female — Migrants | 1 806,828 |
| 2024-01-01 | ARG.SEX_F.MIG_STATUS_MIGRANT | Argentina — Female — Migrants | 1 596,73 |
| 2017-01-01 | ARG.SEX_F.MIG_STATUS_NONMIG | Argentina — Female — Non-migrants | 2 082,272 |
| 2018-01-01 | ARG.SEX_F.MIG_STATUS_NONMIG | Argentina — Female — Non-migrants | 1 964,266 |
Profilé le 29 sept. 2026 à partir de l’instantané 20260929T101134Z-ab1fa0b5dde4
Mesuré- Complétude
- 100 %
- Lignes
- 3 473
- Colonnes
- 4
- Colonnes incomplètes
- 0
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| datedate | 0 % | 27 | 1 janv. 2000 → 1 janv. 2024 | — |
| series_idvarchar | 0 % | 406 | — |
|
| series_labelvarchar | 0 % | 443 | — |
|
| valuedouble | 0 % | 3 360 | 0 → 323 952médiane 756 | 69 hors du 1er–99e centile |
- Actuelle
20260929T101134Z-ab1fa0b5dde4 · sha256 ab1fa0b5dde4…
3 473 lignes · premier instantané
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 "https://datazimuts.com/v1/datasets/ilostat/ilo_nonfatal_occupational_injuries" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/ilostat/ilo_nonfatal_occupational_injuries").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/ilostat/ilo_nonfatal_occupational_injuries
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
Citer cet instantané
Épinglé à l’instantané 20260929T101134Z-ab1fa0b5dde4 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
ILO ILOSTAT. (2026). SDG 8.8.1: non-fatal occupational injuries by sex & migrant status (annual) [Data set, snapshot 20260929T101134Z-ab1fa0b5dde4, sha256 ab1fa0b5dde4]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/fr/datasets/ilostat/ilo_nonfatal_occupational_injuries?snapshot=20260929T101134Z-ab1fa0b5dde4
@misc{dz_ilostat_ilo_nonfatal_occupational_injuri_ab1fa0b5,
title = {{SDG 8.8.1: non-fatal occupational injuries by sex \& migrant status (annual)}},
author = {{ILO ILOSTAT}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/ilostat/ilo_nonfatal_occupational_injuries?snapshot=20260929T101134Z-ab1fa0b5dde4}},
note = {Snapshot 20260929T101134Z-ab1fa0b5dde4, sha256 ab1fa0b5dde4e71914fbaca9fa836055abaf1b8dc280ffc82397539068db362e; accessed 2026-09-30}
}Intégrer un tableau ou un graphique
Collez ce code dans n’importe quelle page. L’intégration est épinglée au même instantané, suit le thème clair ou sombre du lecteur et affiche toujours la source, la licence et un lien de retour.
<iframe src="https://datazimuts.com/embed/chart?dataset=ilostat%2Filo_nonfatal_occupational_injuries&lang=fr&theme=auto&snapshot=20260929T101134Z-ab1fa0b5dde4&x=date&y=value&agg=avg" title="SDG 8.8.1: non-fatal occupational injuries by sex & migrant status (annual)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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