electricsheepeurope/europe-unicef-social-protection

Social Protection | Europe (UNICEF)

🇪🇺 322 observations · 44 Europe countries · 2011–2024 · Repackaged by Electric Sheep Europe

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
• Publisher: United Nations Children's Fund (UNICEF)
• License: cc-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

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

germany = df[df["REF_AREA"] == "DEU"]

Time-series for a single indicator

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

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

Citation

@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.

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

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Provenance: ingested 2026-05-24 via the Electric Sheep pipeline. Source URL: https://data.unicef.org/