electricsheepeurope/europe-ilo-ilr-tumt-noc-rt-trade-union-density-rate

Trade union density rate (%) | Europe (ILOSTAT)

🇪🇺 552 observations · 38 Europe countries · 2000–2020 · Repackaged by Electric Sheep Europe

TL;DR

This dataset contains 552 observations of Industrial relations data across 38 Europe countries, spanning 2000–2020, 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: Industrial relations

Methodology

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

Geographic coverage

38 Europe countries · top rows shown below, sorted by row count:

Country	Rows	First year	Last year
MLT	21	2000	2020
IRL	21	2000	2020
DEU	20	2000	2019
ESP	20	2000	2019
AUT	20	2000	2019
BEL	20	2000	2019
ITA	20	2000	2019
NOR	20	2000	2019
NLD	20	2000	2019
SVK	20	2000	2019
GBR	20	2000	2019
FIN	20	2000	2019
ISL	20	2000	2019
DNK	20	2000	2019
SWE	20	2000	2019
...	23 more countries

Indicators (sample)

• ILR_TUMT_NOC_RT — Trade union density rate (%)

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)	FX:7131
source.label	string	Source name in English	ADM - Administrative records and rela…
indicator	string	ILOSTAT indicator code	ILR_TUMT_NOC_RT
indicator.label	string	Indicator name in English	Trade union density rate (%)
time	int64	Observation year	2017
obs_value	float64	Observed indicator value (unit varies — see indicator definition)	36.847
note_indicator	string	—	T31:4129
note_indicator.label	string	—	Trade union membership coverage: Adju…
note_source	string	—	S9:4134
note_source.label	string	—	Reference group coverage: Including n…

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-ilr-tumt-noc-rt-trade-union-density-rate")
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"] == "ILR_TUMT_NOC_RT"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="ILR_TUMT_NOC_RT")

Pivot to country × year matrix

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

Citation

@misc{europe_ilo_ilr_tumt_noc_rt_trade_union_density_rate_2020,
  title        = {Trade union density rate (%) | Europe (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2020},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=ILR_TUMT_NOC_RT},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-ilo-ilr-tumt-noc-rt-trade-union-density-rate}}
}

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

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