license: cc-by-4.0
language:
- en
task_categories:
- tabular-classification
- tabular-regression
- time-series-forecasting
multilinguality: monolingual
size_categories:
- n<1K
tags:
- tabular
- europe
- ilostat
- workers-in-stem-occupations
- ilo
- labour
- employment
pretty_name: >-
Mean weekly hours actually worked per person in in a STEM occupation | Europe
(ILOSTAT)
Mean weekly hours actually worked per person in in a STEM occupation | Europe (ILOSTAT)
🇪🇺 561 observations · 14 Europe countries · 2008–2025 · Repackaged by Electric Sheep Europe
TL;DR
This dataset contains 561 observations of Workers in STEM occupations data across 14 Europe countries, spanning 2008–2025, 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: Workers in STEM occupations
Methodology
Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=HOW_STEM_SEX_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
14 Europe countries · top rows shown below, sorted by row count:
| Country | Rows | First year | Last year |
|---|---|---|---|
GRC |
54 | 2008 | 2025 |
CHE |
51 | 2009 | 2025 |
GBR |
51 | 2009 | 2025 |
PRT |
45 | 2011 | 2025 |
MKD |
45 | 2011 | 2025 |
AUT |
45 | 2011 | 2025 |
FRA |
42 | 2011 | 2024 |
CZE |
42 | 2011 | 2024 |
BIH |
39 | 2012 | 2024 |
SVK |
39 | 2011 | 2023 |
ALB |
33 | 2014 | 2024 |
BLR |
27 | 2016 | 2024 |
SRB |
27 | 2011 | 2019 |
ITA |
21 | 2014 | 2020 |
Indicators (sample)
HOW_STEM_SEX_NB— Mean weekly hours actually worked per person in in a STEM occupation
Schema
| Column | Type | Description | Example |
|---|---|---|---|
ref_area |
string |
ISO 3166-1 alpha-3 country code | ALB |
ref_area.label |
string |
Country name in English | Albania |
source |
string |
ILOSTAT source code (e.g. labour force survey) | BA:480 |
source.label |
string |
Source name in English | LFS - Labour Force Survey |
indicator |
string |
ILOSTAT indicator code | HOW_STEM_SEX_NB |
indicator.label |
string |
Indicator name in English | Mean weekly hours actually worked per… |
sex |
string |
Disaggregation by sex (SEX_T = total, SEX_M = male, SEX_F = female) | SEX_T |
sex.label |
string |
— | Total |
time |
int64 |
Observation year | 2024 |
obs_value |
float64 |
Observed indicator value (unit varies — see indicator definition) | 42.03 |
obs_status |
string |
Observation status flag (e.g. provisional, unreliable) | B |
obs_status.label |
string |
— | Break in series |
note_indicator |
string |
— | I11:264 |
note_indicator.label |
string |
— | Break in series: Methodology revised |
note_source |
string |
— | R1:3513 |
note_source.label |
string |
— | Repository: ILO-STATISTICS - Micro da… |
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-how-stem-sex-nb-mean-weekly-hours-actually-worked-per-person-in-in")
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"] == "HOW_STEM_SEX_NB"]
.sort_values("time"))
sample.plot(x="time", y="obs_value", title="HOW_STEM_SEX_NB")
Pivot to country × year matrix
matrix = (df[df["indicator"] == "HOW_STEM_SEX_NB"]
.pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())
Citation
@misc{europe_ilo_how_stem_sex_nb_mean_weekly_hours_actually_worked_per_person_in_in_2025,
title = {Mean weekly hours actually worked per person in in a STEM occupation | Europe (ILOSTAT)},
author = {International Labour Organization (ILO)},
year = {2025},
url = {https://www.ilo.org/shinyapps/bulkexplorer/?id=HOW_STEM_SEX_NB},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-ilo-how-stem-sex-nb-mean-weekly-hours-actually-worked-per-person-in-in}}
}
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=HOW_STEM_SEX_NB