electricsheepeurope/europe-ilo-ees-tees-sex-eco-geo-nb-employees-by-sex-economic-activity-and-rural-urban

Employees by sex, economic activity and rural / urban areas (thousands) | Europe (ILOSTAT)

🇪🇺 101,062 observations · 39 Europe countries · 1992–2025 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

TL;DR

This dataset contains 101,062 observations of Employees data across 39 Europe countries, spanning 1992–2025, 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: Employees

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=EES_TEES_SEX_ECO_GEO_NB 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

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

Indicators (sample)

• —EES_TEES_SEX_ECO_GEO_NB — Employees by sex, economic activity and rural / urban areas (thousands)

Schema

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

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-ilo-ees-tees-sex-eco-geo-nb-employees-by-sex-economic-activity-and-rural-urban")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

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

Pivot to country × year matrix

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

Citation

@misc{europe_ilo_ees_tees_sex_eco_geo_nb_employees_by_sex_economic_activity_and_rural_urban_2025,
  title        = {Employees by sex, economic activity and rural / urban areas (thousands) | Europe (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2025},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=EES_TEES_SEX_ECO_GEO_NB},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-ilo-ees-tees-sex-eco-geo-nb-employees-by-sex-economic-activity-and-rural-urban}}
}

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 2026-05-26 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=EESTEESSEXECOGEONB_