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electricsheepeurope/europe-ilo-sdg-f881-sex-mig-rt-sdg-indicator-8-8-1-fatal-occupational-injuries-pe

SDG indicator 8.8.1 - Fatal occupational injuries per 100'000 workers by sex and migrant s | Europe (ILOSTAT) 🇪🇺 1,648 observations · 35 Europe countries · 2000–2024 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 1,648 observations of Occupational injuries data across 35 Europe countries, spanning 2000–2024, covering 1 distinct indicators. About the source ILOSTAT is the ILO's central statistics database, the leading global… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-ilo-sdg-f881-sex-mig-rt-sdg-indicator-8-8-1-fatal-occupational-injuries-pe.

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SDG indicator 8.8.1 - Fatal occupational injuries per 100'000 workers by sex and migrant s | Europe (ILOSTAT)

🇪🇺 1,648 observations · 35 Europe countries · 2000–2024 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 1,648 observations of Occupational injuries data across 35 Europe countries, spanning 2000–2024, covering 1 distinct indicators.

About the source

ILOSTAT is the ILO's central statistics database, the leading global source for labour statistics. It compiles indicators across employment, unemployment, wages, working time, child labour, informal economy, social protection, occupational injuries, and SDG decent work targets — drawing on national labour force surveys, household income surveys, establishment surveys, and administrative records. Coverage spans 200+ economies, with the ILO's Department of Statistics responsible for harmonisation.

  • —Source: ILOSTAT
  • —Publisher: International Labour Organization (ILO)
  • —License: cc-by-4.0
  • —Topic: Occupational injuries

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=SDG_F881_SEX_MIG_RT and filtered to Europe ISO3 country codes. ILOSTAT harmonises raw survey microdata using ICLS (International Conference of Labour Statisticians) definitions; sources are flagged in the source.label column for traceability.

Geographic coverage

35 Europe countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ESP11720002023
HUN9120002024
RUS7520002024
MLT7420002024
BLR7120002024
BGR6620002023
LUX6620002024
FIN6620002023
UKR6420002021
SWE6220002024
AUT5920002024
HRV5720002023
SVK5620002024
LTU5520002024
NOR5520002023
...20 more countries

Indicators (sample)

  • —SDG_F881_SEX_MIG_RT — SDG indicator 8.8.1 - Fatal occupational injuries per 100'000 workers by sex and migrant status

Schema

ColumnTypeDescriptionExample
ref_areastringISO 3166-1 alpha-3 country codeAUT
ref_area.labelstringCountry name in EnglishAustria
sourcestringILOSTAT source code (e.g. labour force survey)FA:257
source.labelstringSource name in EnglishADM-IR - Database Records from all in…
indicatorstringILOSTAT indicator codeSDG_F881_SEX_MIG_RT
indicator.labelstringIndicator name in EnglishSDG indicator 8.8.1 - Fatal occupatio…
sexstringDisaggregation by sex (SEXT = total, SEXM = male, SEX_F = female)SEX_T
sex.labelstring—Total
classif1stringFirst classification variable (age, education, status, etc.)MIG_STATUS_TOTAL
classif1.labelstring—Migrant status: Total
timeint64Observation year2024
obs_valuefloat64Observed indicator value (unit varies — see indicator definition)1.803
obs_statusstringObservation status flag (e.g. provisional, unreliable)U
obs_status.labelstring—Unreliable
note_indicatorstring—T13:149_T14:153
note_indicator.labelstring—Coverage of occupational injuries: Re…
note_sourcestring—S3:24_S9:259
note_source.labelstring—Data reference period: End of the yea…

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • —`sex` (3 unique values): SEX_T, SEX_M, SEX_F

Data quality & caveats

  • —Data is annual frequency. Some indicators also publish monthly or quarterly series — those are not included here.
  • —When an indicator has multiple sources for the same country×year, the ILO-selected 'best source' is used.
  • —Disaggregation columns (sex, classif1, classif2) are non-null only when the indicator publishes that breakdown.

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-ilo-sdg-f881-sex-mig-rt-sdg-indicator-8-8-1-fatal-occupational-injuries-pe")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
germany = df[df["ref_area"] == "DEU"]

Time-series for a single indicator

python
sample = (df[df["indicator"] == "SDG_F881_SEX_MIG_RT"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="SDG_F881_SEX_MIG_RT")

Pivot to country × year matrix

python
matrix = (df[df["indicator"] == "SDG_F881_SEX_MIG_RT"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

bibtex
@misc{europe_ilo_sdg_f881_sex_mig_rt_sdg_indicator_8_8_1_fatal_occupational_injuries_pe_2024,
  title        = {SDG indicator 8.8.1 - Fatal occupational injuries per 100'000 workers by sex and migrant s | Europe (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2024},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_F881_SEX_MIG_RT},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-ilo-sdg-f881-sex-mig-rt-sdg-indicator-8-8-1-fatal-occupational-injuries-pe}}
}

License

Released under cc-by-4.0.

Original data © International Labour Organization (ILO). When using this dataset, please cite both the original source above and the Electric Sheep Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepeurope


Provenance: ingested 2026-05-25 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=SDGF881SEXMIGRT