---
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
- unicef-data-warehouse
- social-protection
- unicef
- children
- sdmx
- health
pretty_name: "Social Protection | Europe (UNICEF)"
---

# Social Protection | Europe (UNICEF)

🇪🇺 **322 observations** · **44 Europe countries** · **2011–2024** · *Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)*

![rows](https://img.shields.io/badge/rows-322-blue) ![countries](https://img.shields.io/badge/countries-44-green) ![years](https://img.shields.io/badge/years-2011–2024-orange) ![indicators](https://img.shields.io/badge/indicators-7-purple) ![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)

## TL;DR

This dataset contains **322 observations** of `Social Protection` data across **44 Europe countries**, spanning **2011–2024**, covering **7 distinct indicators**.

## About the source

- **Source:** [UNICEF Data Warehouse](https://data.unicef.org/)
- **Publisher:** United Nations Children's Fund (UNICEF)
- **License:** [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/)
- **Topic:** Social Protection

## Geographic coverage

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

| Country | Rows | First year | Last year |
|---------|-----:|-----------:|----------:|
| `BEL` | 8 | 2015 | 2024 |
| `AUT` | 8 | 2015 | 2024 |
| `CHE` | 8 | 2015 | 2024 |
| `BGR` | 8 | 2014 | 2024 |
| `DNK` | 8 | 2015 | 2024 |
| `ESP` | 8 | 2015 | 2024 |
| `DEU` | 8 | 2015 | 2024 |
| `CZE` | 8 | 2015 | 2024 |
| `GBR` | 8 | 2015 | 2024 |
| `FRA` | 8 | 2015 | 2024 |
| `FIN` | 8 | 2015 | 2024 |
| `EST` | 8 | 2015 | 2024 |
| `RUS` | 8 | 2015 | 2024 |
| `SVK` | 8 | 2015 | 2024 |
| `MNE` | 8 | 2014 | 2024 |
| ... | _29 more countries_ | | |

## Indicators (sample)

- `SPP_CHLD_SOC_PROT` — Proportion of children covered by social protection
- `SPP_GDPPC` — GDP per capita (current US$)
- `SPP_GINI` — Gini Coefficient
- `SPP_HSLD_INCOME_SHARE` — Share of household income (%)
- `SPP_MOTHERS_CASH_BNF` — Mothers with newborns receiving cash benefit (%)
- `SPP_PALMA` — Palma Index of income inequality
- `SPP_VMI` — VMI (vast majority index of income inequality)

## Schema

| Column | Type | Description | Example |
|--------|------|-------------|---------|
| `REF_AREA` | `string` | — | `ALB` |
| `Geographic area` | `string` | — | `Albania` |
| `INDICATOR` | `string` | — | `SPP_CHLD_SOC_PROT` |
| `Indicator` | `string` | — | `Proportion of children covered by soc…` |
| `SEX` | `string` | — | `_T` |
| `Sex` | `string` | — | `Total` |
| `TIME_PERIOD` | `int64` | — | `2024` |
| `OBS_VALUE` | `float64` | — | `24.6` |
| `UNIT_MEASURE` | `string` | — | `PCNT` |
| `Unit of measure` | `string` | — | `%` |
| `SERIES_FOOTNOTE` | `string` | — | `based on GDP ` |
| `DATA_SOURCE` | `string` | — | `UNSD SDG Database` |
| `AGE` | `string` | — | `_T` |
| `Current age` | `string` | — | `Total` |

## Disaggregation dimensions

The following columns provide disaggregation dimensions:
- **`SEX`** (1 unique values): `_T`
- **`Sex`** (1 unique values): `Total`
- **`AGE`** (1 unique values): `_T`

## Usage

```python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-unicef-social-protection")
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"] == "SPP_CHLD_SOC_PROT"]
          .sort_values("TIME_PERIOD"))
sample.plot(x="TIME_PERIOD", y="OBS_VALUE", title="SPP_CHLD_SOC_PROT")
```

### Pivot to country × year matrix

```python
matrix = (df[df["INDICATOR"] == "SPP_CHLD_SOC_PROT"]
          .pivot_table(index="TIME_PERIOD", columns="REF_AREA", values="OBS_VALUE"))
print(matrix.tail())
```

## Citation

```bibtex
@misc{europe_unicef_social_protection_2024,
  title        = {Social Protection | Europe (UNICEF)},
  author       = {United Nations Children's Fund (UNICEF)},
  year         = {2024},
  url          = {https://data.unicef.org/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-unicef-social-protection}}
}
```

## License

Released under [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/).

Original data © United Nations Children's Fund (UNICEF). 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 2026-05-24 via the Electric Sheep pipeline. Source URL: https://data.unicef.org/_