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electricsheepeurope/europe-ilo-ees-3ees-sex-age-jbc-nb-youth-employees-by-sex-age-and-type-of-job-contrac

Youth employees by sex, age and type of job contract (thousands) | Europe (ILOSTAT) πŸ‡ͺπŸ‡Ί 44,456 observations Β· 39 Europe countries Β· 1983–2025 Β· Repackaged by Electric Sheep Europe TL;DR This dataset contains 44,456 observations of Employees data across 39 Europe countries, spanning 1983–2025, covering 1 distinct indicators. About the source ILOSTAT is the ILO's central statistics database, the leading global source for labour statistics. It… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-ilo-ees-3ees-sex-age-jbc-nb-youth-employees-by-sex-age-and-type-of-job-contrac.

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Dataset Card

Youth employees by sex, age and type of job contract (thousands) | Europe (ILOSTAT)

πŸ‡ͺπŸ‡Ί 44,456 observations Β· 39 Europe countries Β· 1983–2025 Β· Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 44,456 observations of Employees data across 39 Europe countries, spanning 1983–2025, 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 β€” 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.

  • β€”Source: ILOSTAT
  • β€”Publisher: International Labour Organization (ILO)
  • β€”License: cc-by-4.0
  • β€”Topic: Employees

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=EES_3EES_SEX_AGE_JBC_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 Β· top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
GBR2,04219832025
FRA1,91119832024
DEU1,89219842024
IRL1,81519832024
NLD1,76119832024
LUX1,53619832024
BEL1,51219832024
ITA1,51219832024
PRT1,51019862025
DNK1,48419842024
CHE1,47519912025
ESP1,47119872025
GRC1,40519872025
AUT1,28019952025
CZE1,28019932024
...24 more countries

Indicators (sample)

  • β€”EES_3EES_SEX_AGE_JBC_NB β€” Youth employees by sex, age and type of job contract (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)BA:480
source.labelstringSource name in EnglishLFS - Labour Force Survey
indicatorstringILOSTAT indicator codeEES_3EES_SEX_AGE_JBC_NB
indicator.labelstringIndicator name in EnglishYouth employees by sex, age and type …
sexstringDisaggregation by sex (SEXT = total, SEXM = male, SEX_F = female)SEX_T
sex.labelstringβ€”Total
classif1stringFirst classification variable (age, education, status, etc.)AGE_YTHBANDS_Y15-29
classif1.labelstringβ€”Age (Youth bands): 15-29
classif2stringSecond classification variable where applicableJBC_CONTRACT_TOTAL
classif2.labelstringβ€”Contract type: Total
timeint64Observation year2024
obs_valuefloat64Observed indicator value (unit varies β€” see indicator definition)107.939
obs_statusstringObservation status flag (e.g. provisional, unreliable)U
obs_status.labelstringβ€”Unreliable
note_indicatorstringβ€”I11:264
note_indicator.labelstringβ€”Break in series: Methodology revised
note_sourcestringβ€”R1:3513
note_source.labelstringβ€”Repository: ILO-STATISTICS - Micro da…

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • β€”`sex` (3 unique values): SEX_T, SEX_M, SEX_F

Data quality & caveats

  • β€”Data is annual frequency. Some indicators also publish monthly or quarterly series β€” those are not included here.
  • β€”When an indicator has multiple sources for the same countryΓ—year, the ILO-selected 'best source' is used.
  • β€”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-ees-3ees-sex-age-jbc-nb-youth-employees-by-sex-age-and-type-of-job-contrac")
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"] == "EES_3EES_SEX_AGE_JBC_NB"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="EES_3EES_SEX_AGE_JBC_NB")

Pivot to country Γ— year matrix

python
matrix = (df[df["indicator"] == "EES_3EES_SEX_AGE_JBC_NB"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

bibtex
@misc{europe_ilo_ees_3ees_sex_age_jbc_nb_youth_employees_by_sex_age_and_type_of_job_contrac_2025,
  title        = {Youth employees by sex, age and type of job contract (thousands) | Europe (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2025},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=EES_3EES_SEX_AGE_JBC_NB},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-ilo-ees-3ees-sex-age-jbc-nb-youth-employees-by-sex-age-and-type-of-job-contrac}}
}

License

Released under cc-by-4.0.

Original data Β© 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 2026-05-27 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=EES3EESSEXAGEJBCNB_