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electricsheepeurope/europe-ilo-emp-2fte-sex-jbf-nb-full-time-equivalent-employment-by-sex-ilo-modelle

Full-time equivalent employment by sex -- ILO modelled estimates, Nov. 2025 (thousands) | Europe (ILOSTAT) 🇪🇺 5,346 observations · 39 Europe countries · 2005–2027 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 5,346 observations of Employment data across 39 Europe countries, spanning 2005–2027, covering 1 distinct indicators. About the source ILOSTAT is the ILO's central statistics database, the leading global source for… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-ilo-emp-2fte-sex-jbf-nb-full-time-equivalent-employment-by-sex-ilo-modelle.

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Dataset Card

Full-time equivalent employment by sex -- ILO modelled estimates, Nov. 2025 (thousands) | Europe (ILOSTAT)

🇪🇺 5,346 observations · 39 Europe countries · 2005–2027 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 5,346 observations of Employment data across 39 Europe countries, spanning 2005–2027, 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: Employment

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=EMP_2FTE_SEX_JBF_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:

CountryRowsFirst yearLast year
ALB13820052027
AUT13820052027
BEL13820052027
BGR13820052027
BIH13820052027
BLR13820052027
CHE13820052027
CZE13820052027
DEU13820052027
DNK13820052027
ESP13820052027
EST13820052027
FIN13820052027
FRA13820052027
GBR13820052027
...24 more countries

Indicators (sample)

  • —EMP_2FTE_SEX_JBF_NB — Full-time equivalent employment by sex -- ILO modelled estimates, Nov. 2025 (thousands)

Schema

ColumnTypeDescriptionExample
ref_areastringISO 3166-1 alpha-3 country codeALB
ref_area.labelstringCountry name in EnglishAlbania
sourcestringILOSTAT source code (e.g. labour force survey)XA:2137
source.labelstringSource name in EnglishILO - Modelled Estimates
indicatorstringILOSTAT indicator codeEMP_2FTE_SEX_JBF_NB
indicator.labelstringIndicator name in EnglishFull-time equivalent employment by se…
sexstringDisaggregation by sex (SEXT = total, SEXM = male, SEX_F = female)SEX_T
sex.labelstring—Total
classif1stringFirst classification variable (age, education, status, etc.)JBF_FTE_FTE40
classif1.labelstring—Full-time equivalence: Based on 40 ho…
timeint64Observation year2027
obs_valuefloat64Observed indicator value (unit varies — see indicator definition)1360.424
obs_statusstringObservation status flag (e.g. provisional, unreliable)A
obs_status.labelstring—Adjusted

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-emp-2fte-sex-jbf-nb-full-time-equivalent-employment-by-sex-ilo-modelle")
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"] == "EMP_2FTE_SEX_JBF_NB"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="EMP_2FTE_SEX_JBF_NB")

Pivot to country × year matrix

python
matrix = (df[df["indicator"] == "EMP_2FTE_SEX_JBF_NB"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

bibtex
@misc{europe_ilo_emp_2fte_sex_jbf_nb_full_time_equivalent_employment_by_sex_ilo_modelle_2027,
  title        = {Full-time equivalent employment by sex -- ILO modelled estimates, Nov. 2025 (thousands) | Europe (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2027},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=EMP_2FTE_SEX_JBF_NB},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-ilo-emp-2fte-sex-jbf-nb-full-time-equivalent-employment-by-sex-ilo-modelle}}
}

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 2026-05-28 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=EMP2FTESEXJBFNB