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README.md
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download_size: 27708
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dataset_size: 74374
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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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- 1K<n<10K
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tags:
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- tabular
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- europe
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- our-world-in-data
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- ilo-national-vs-modeled-data
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- owid
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- long-run-series
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- time-series
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pretty_name: "Ilo National Vs Modeled Data | Europe (Our World in Data)"
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---
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# Ilo National Vs Modeled Data | Europe (Our World in Data)
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🇪🇺 **1,721 observations** · **42 Europe countries** · **1969–2025** · *Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)*
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## TL;DR
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This dataset contains **1,721 observations** of `Ilo National Vs Modeled Data` data across **42 Europe countries**, spanning **1969–2025**.
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## About the source
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- **Source:** [Our World in Data](https://ourworldindata.org/grapher/ilo-national-vs-modeled-data)
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- **Publisher:** Our World in Data
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- **License:** [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/)
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- **Topic:** Ilo National Vs Modeled Data
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## Geographic coverage
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42 Europe countries · top rows shown below, sorted by row count:
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| Country | Rows | First year | Last year |
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|---------|-----:|-----------:|----------:|
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| `AUT` | 57 | 1969 | 2025 |
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| `ESP` | 57 | 1969 | 2025 |
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| `FIN` | 57 | 1969 | 2025 |
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| `FRA` | 56 | 1970 | 2025 |
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| `GBR` | 55 | 1971 | 2025 |
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| `ITA` | 55 | 1970 | 2025 |
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| `BEL` | 55 | 1971 | 2025 |
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| `NOR` | 54 | 1972 | 2025 |
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| `DNK` | 53 | 1973 | 2025 |
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| `CHE` | 51 | 1975 | 2025 |
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| `SWE` | 51 | 1969 | 2025 |
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| `PRT` | 47 | 1974 | 2025 |
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| `ALB` | 46 | 1980 | 2025 |
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| `NLD` | 45 | 1975 | 2025 |
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| `GRC` | 45 | 1981 | 2025 |
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| ... | _27 more countries_ | | |
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## Schema
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| Column | Type | Description | Example |
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|--------|------|-------------|---------|
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| `country_name` | `string` | — | `Albania` |
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| `country_iso3` | `string` | — | `ALB` |
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| `year` | `int64` | — | `1980` |
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| `National estimates` | `float64` | — | `5.6` |
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| `Modeled estimates by the ILO` | `float64` | — | `10.304` |
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## Data quality & caveats
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- `National estimates` column has 6.1% null values (filtered to non-null in this dataset).
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("electricsheepeurope/europe-owid-ilo-national-vs-modeled-data")
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df = ds["train"].to_pandas()
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print(df.head())
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```
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### Filter to one country
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```python
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germany = df[df["country_iso3"] == "DEU"]
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```
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### Time-series for a single indicator
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```python
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sample = df.sort_values("year")
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sample.plot(x="year", y="National estimates")
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```
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## Citation
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```bibtex
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@misc{europe_owid_ilo_national_vs_modeled_data_2025,
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title = {Ilo National Vs Modeled Data | Europe (Our World in Data)},
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author = {Our World in Data},
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year = {2025},
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url = {https://ourworldindata.org/grapher/ilo-national-vs-modeled-data},
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publisher = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
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howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-ilo-national-vs-modeled-data}}
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}
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```
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## License
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Released under [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/).
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Original data © Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Europe repackaging.
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## About Electric Sheep
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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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Browse the full collection: [huggingface.co/electricsheepeurope](https://huggingface.co/electricsheepeurope)
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---
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_Provenance: ingested 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/ilo-national-vs-modeled-data_
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