electricsheepeurope/europe-unicef-demographics

---
license: cc-by-4.0
language:
- en
task_categories:
- tabular-classification
- tabular-regression
- time-series-forecasting
multilinguality: monolingual
size_categories:
- 100K<n<1M
tags:
- tabular
- europe
- unicef-data-warehouse
- demographics
- unicef
- children
- sdmx
- health
pretty_name: "Demographics | Europe (UNICEF)"
---

# Demographics | Europe (UNICEF)

🇪🇺 **133,335 observations** · **45 Europe countries** · **1950–2100** · *Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)*

    

## TL;DR

This dataset contains **133,335 observations** of `Demographics` data across **45 Europe countries**, spanning **1950–2100**, covering **16 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:** Demographics

## Geographic coverage

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

| Country | Rows | First year | Last year |
|---------|-----:|-----------:|----------:|
| `ALB` | 2,963 | 1950 | 2100 |
| `AND` | 2,963 | 1950 | 2100 |
| `AUT` | 2,963 | 1950 | 2100 |
| `BEL` | 2,963 | 1950 | 2100 |
| `BGR` | 2,963 | 1950 | 2100 |
| `BIH` | 2,963 | 1950 | 2100 |
| `BLR` | 2,963 | 1950 | 2100 |
| `CHE` | 2,963 | 1950 | 2100 |
| `CZE` | 2,963 | 1950 | 2100 |
| `DEU` | 2,963 | 1950 | 2100 |
| `DNK` | 2,963 | 1950 | 2100 |
| `ESP` | 2,963 | 1950 | 2100 |
| `EST` | 2,963 | 1950 | 2100 |
| `FIN` | 2,963 | 1950 | 2100 |
| `FRA` | 2,963 | 1950 | 2100 |
| ... | _30 more countries_ | | |

## Indicators (sample)

- `DM_BRTS` — Number of births
- `DM_BRTS_SURVIVING_1` — Live Births Surviving to Age 1
- `DM_DPR_CHD` — Child dependency ratio
- `DM_DPR_OLD` — Old age dependency ratio
- `DM_DPR_TOT` — Total dependency ratio
- `DM_FRATE_TOT` — Total fertility rate
- `DM_LIFE_EXP` — Life expectancy
- `DM_NET_MG_RATE` — Net migration rate (per 1,000 population)
- `DM_POP_15TO24` — Youth population from 15 to 24
- `DM_POP_ADLCNT` — Adolescent population (10-19)
- _... and 6 more indicators_

## Schema

| Column | Type | Description | Example |
|--------|------|-------------|---------|
| `REF_AREA` | `string` | — | `ALB` |
| `Geographic area` | `string` | — | `Albania` |
| `INDICATOR` | `string` | — | `DM_BRTS` |
| `Indicator` | `string` | — | `Number of births` |
| `SEX` | `string` | — | `_T` |
| `Sex` | `string` | — | `Total` |
| `TIME_PERIOD` | `int64` | — | `1950` |
| `OBS_VALUE` | `float64` | — | `49.038` |
| `UNIT_MULTIPLIER` | `float64` | — | `3.0` |
| `Unit multiplier` | `string` | — | `Thousands` |
| `UNIT_MEASURE` | `string` | — | `PS` |
| `Unit of measure` | `string` | — | `Persons` |
| `OBS_STATUS` | `string` | — | `PRED` |
| `Observation Status` | `string` | — | `Predicted` |
| `DATA_SOURCE` | `string` | — | `United Nations, Department of Economi…` |
| `SOURCE_LINK` | `string` | — | `https://population.un.org/wpp/` |
| `AGE` | `string` | — | `_T` |
| `Current age` | `string` | — | `Total` |

## Disaggregation dimensions

The following columns provide disaggregation dimensions:
- **`SEX`** (3 unique values): `_T`, `F`, `M`
- **`Sex`** (3 unique values): `Total`, `Female`, `Male`
- **`AGE`** (1 unique values): `_T`

## Usage

```python
from datasets import load_dataset

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

### Pivot to country × year matrix

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

## Citation

```bibtex
@misc{europe_unicef_demographics_2100,
title = {Demographics | Europe (UNICEF)},
author = {United Nations Children's Fund (UNICEF)},
year = {2100},
url = {https://data.unicef.org/},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-unicef-demographics}}
}
```

## 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/_