--- 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](https://huggingface.co/electricsheepeurope)* ![rows](https://img.shields.io/badge/rows-561-blue) ![countries](https://img.shields.io/badge/countries-14-green) ![years](https://img.shields.io/badge/years-2008–2025-orange) ![indicators](https://img.shields.io/badge/indicators-1-purple) ![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey) ## 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](https://www.ilo.org/shinyapps/bulkexplorer/?id=HOW_STEM_SEX_NB) - **Publisher:** International Labour Organization (ILO) - **License:** [cc-by-4.0](https://creativecommons.org/licenses/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 ```python 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 ```python germany = df[df["ref_area"] == "DEU"] ``` ### Time-series for a single indicator ```python 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 ```python matrix = (df[df["indicator"] == "HOW_STEM_SEX_NB"] .pivot_table(index="time", columns="ref_area", values="obs_value")) print(matrix.tail()) ``` ## Citation ```bibtex @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](https://creativecommons.org/licenses/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](https://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_