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  ---
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- dataset_info:
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- features:
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- - name: ref_area
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- dtype: string
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- - name: ref_area.label
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- dtype: string
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- - name: source
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- dtype: string
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- - name: source.label
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- dtype: string
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- - name: indicator
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- dtype: string
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- - name: indicator.label
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- dtype: string
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- - name: time
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- dtype: int64
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- - name: obs_value
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- dtype: float64
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- - name: note_indicator
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- dtype: string
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- - name: note_indicator.label
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 85750
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- num_examples: 320
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- - name: test
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- num_bytes: 22644
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- num_examples: 80
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- download_size: 13506
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- dataset_size: 108394
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: test
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- path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ task_categories:
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+ - tabular-classification
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+ - tabular-regression
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+ - time-series-forecasting
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+ multilinguality: monolingual
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+ size_categories:
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+ - n<1K
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+ tags:
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+ - tabular
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+ - europe
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+ - ilostat
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+ - industrial-relations
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+ - ilo
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+ - labour
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+ - employment
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+ pretty_name: "SDG indicator 8.8.2 - Level of national compliance with labour rights (freedom of associat | Europe (ILOSTAT)"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # SDG indicator 8.8.2 - Level of national compliance with labour rights (freedom of associat | Europe (ILOSTAT)
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+
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+ 🇪🇺 **400 observations** · **40 Europe countries** · **2015–2024** · *Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)*
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+
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+ ![rows](https://img.shields.io/badge/rows-400-blue) ![countries](https://img.shields.io/badge/countries-40-green) ![years](https://img.shields.io/badge/years-2015–2024-orange) ![indicators](https://img.shields.io/badge/indicators-1-purple) ![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
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+
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+ ## TL;DR
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+
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+ This dataset contains **400 observations** of `Industrial relations` data across **40 Europe countries**, spanning **2015–2024**, covering **1 distinct indicators**.
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+
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+ ## About the source
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+
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+ **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.
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+
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+ - **Source:** [ILOSTAT](https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_0882_NOC_RT)
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+ - **Publisher:** International Labour Organization (ILO)
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+ - **License:** [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/)
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+ - **Topic:** Industrial relations
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+
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+ ## Methodology
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+
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+ Data pulled directly from the ILOSTAT REST API at `https://rplumber.ilo.org/data/indicator?id=SDG_0882_NOC_RT` 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.
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+
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+ ## Geographic coverage
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+
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+ 40 Europe countries · top rows shown below, sorted by row count:
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+
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+ | Country | Rows | First year | Last year |
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+ |---------|-----:|-----------:|----------:|
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+ | `ALB` | 10 | 2015 | 2024 |
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+ | `AUT` | 10 | 2015 | 2024 |
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+ | `BEL` | 10 | 2015 | 2024 |
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+ | `BGR` | 10 | 2015 | 2024 |
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+ | `BIH` | 10 | 2015 | 2024 |
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+ | `BLR` | 10 | 2015 | 2024 |
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+ | `CHE` | 10 | 2015 | 2024 |
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+ | `CZE` | 10 | 2015 | 2024 |
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+ | `DEU` | 10 | 2015 | 2024 |
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+ | `DNK` | 10 | 2015 | 2024 |
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+ | `ESP` | 10 | 2015 | 2024 |
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+ | `EST` | 10 | 2015 | 2024 |
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+ | `FIN` | 10 | 2015 | 2024 |
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+ | `FRA` | 10 | 2015 | 2024 |
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+ | `GBR` | 10 | 2015 | 2024 |
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+ | ... | _25 more countries_ | | |
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+
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+ ## Indicators (sample)
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+
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+ - `SDG_0882_NOC_RT` — SDG indicator 8.8.2 - Level of national compliance with labour rights (freedom of association and collective bargaining)
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+
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+ ## Schema
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+
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+ | Column | Type | Description | Example |
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+ |--------|------|-------------|---------|
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+ | `ref_area` | `string` | ISO 3166-1 alpha-3 country code | `ALB` |
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+ | `ref_area.label` | `string` | Country name in English | `Albania` |
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+ | `source` | `string` | ILOSTAT source code (e.g. labour force survey) | `XA:15877` |
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+ | `source.label` | `string` | Source name in English | `ILO - Calculations based on informati…` |
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+ | `indicator` | `string` | ILOSTAT indicator code | `SDG_0882_NOC_RT` |
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+ | `indicator.label` | `string` | Indicator name in English | `SDG indicator 8.8.2 - Level of nation…` |
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+ | `time` | `int64` | Observation year | `2024` |
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+ | `obs_value` | `float64` | Observed indicator value (unit varies — see indicator definition) | `1.88` |
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+ | `note_indicator` | `string` | — | `I13:6321` |
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+ | `note_indicator.label` | `string` | — | `Remarks: The score should be treated …` |
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+
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+ ## Data quality & caveats
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+
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+ - Data is annual frequency. Some indicators also publish monthly or quarterly series — those are not included here.
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+ - When an indicator has multiple sources for the same country×year, the ILO-selected 'best source' is used.
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+ - Disaggregation columns (`sex`, `classif1`, `classif2`) are non-null only when the indicator publishes that breakdown.
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("electricsheepeurope/europe-ilo-sdg-0882-noc-rt-sdg-indicator-8-8-2-level-of-national-compliance-w")
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+ df = ds["train"].to_pandas()
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+ print(df.head())
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+ ```
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+
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+ ### Filter to one country
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+
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+ ```python
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+ germany = df[df["ref_area"] == "DEU"]
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+ ```
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+
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+ ### Time-series for a single indicator
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+
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+ ```python
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+ sample = (df[df["indicator"] == "SDG_0882_NOC_RT"]
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+ .sort_values("time"))
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+ sample.plot(x="time", y="obs_value", title="SDG_0882_NOC_RT")
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+ ```
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+
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+ ### Pivot to country × year matrix
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+
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+ ```python
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+ matrix = (df[df["indicator"] == "SDG_0882_NOC_RT"]
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+ .pivot_table(index="time", columns="ref_area", values="obs_value"))
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+ print(matrix.tail())
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+ ```
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{europe_ilo_sdg_0882_noc_rt_sdg_indicator_8_8_2_level_of_national_compliance_w_2024,
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+ title = {SDG indicator 8.8.2 - Level of national compliance with labour rights (freedom of associat | Europe (ILOSTAT)},
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+ author = {International Labour Organization (ILO)},
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+ year = {2024},
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+ url = {https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_0882_NOC_RT},
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+ publisher = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
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+ howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-ilo-sdg-0882-noc-rt-sdg-indicator-8-8-2-level-of-national-compliance-w}}
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+ }
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+ ```
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+
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+ ## License
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+
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+ Released under [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/).
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+
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+ Original data © International Labour Organization (ILO). When using this dataset, please cite both the original source above and the Electric Sheep Europe repackaging.
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+
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+ ## About Electric Sheep
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+
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+ 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.
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+
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+ Browse the full collection: [huggingface.co/electricsheepeurope](https://huggingface.co/electricsheepeurope)
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+
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+ ---
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+
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+ _Provenance: ingested 2026-05-25 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_0882_NOC_RT_