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electricsheepeurope/europe-who-neonatal-mortality-rate-osis000003

Neonatal mortality rate (per 1000 live births) | Europe (WHO GHO) ๐Ÿ‡ช๐Ÿ‡บ 2,201 observations ยท 43 Europe countries ยท 1954โ€“2023 ยท Repackaged by Electric Sheep Europe TL;DR This dataset contains 2,201 observations of Neonatal mortality rate (per 1000 live births) data across 43 Europe countries, spanning 1954โ€“2023, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health Organization License:โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-neonatal-mortality-rate-osis000003.

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Dataset Card

Neonatal mortality rate (per 1000 live births) | Europe (WHO GHO)

๐Ÿ‡ช๐Ÿ‡บ 2,201 observations ยท 43 Europe countries ยท 1954โ€“2023 ยท Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 2,201 observations of Neonatal mortality rate (per 1000 live births) data across 43 Europe countries, spanning 1954โ€“2023, covering 1 distinct indicators.

About the source

Geographic coverage

43 Europe countries ยท top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ISL7019542023
CHE6919552023
AUT6919552023
DNK6419602023
IRL6419602023
GRC6419602023
HUN6419602023
FIN6419602023
FRA6419602023
ESP6419602023
BEL6419602023
ITA6419602023
PRT6419602023
NOR6419602023
NLD6419602023
...28 more countries

Indicators (sample)

  • โ€”WHOSIS_000003

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”WHOSIS_000003
country_iso3objectโ€”ALB
who_regionobjectโ€”EUR
yearint64โ€”1979
dim1_typeobjectโ€”SEX
dim1objectโ€”SEX_BTSX
dim2_typeobjectโ€”AGEGROUP
dim2objectโ€”AGEGROUP_DAYS0-27
value_numericfloat64โ€”22.707430201
value_lowfloat64โ€”13.101330137
value_highfloat64โ€”37.96946361
value_displayobjectโ€”22.7 [13.1-38.0]
last_updatedobjectโ€”2025-04-15T16:15:21.28+02:00

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • โ€”`dim1_type` (1 unique values): SEX
  • โ€”`dim1` (1 unique values): SEX_BTSX
  • โ€”`dim2_type` (1 unique values): AGEGROUP
  • โ€”`dim2` (1 unique values): AGEGROUP_DAYS0-27

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-neonatal-mortality-rate-osis000003")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

python
sample = (df[df["indicator_code"] == "WHOSIS_000003"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="WHOSIS_000003")

Pivot to country ร— year matrix

python
matrix = (df[df["indicator_code"] == "WHOSIS_000003"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{europe_who_neonatal_mortality_rate_osis000003_2023,
  title        = {Neonatal mortality rate (per 1000 live births) | Europe (WHO GHO)},
  author       = {World Health Organization},
  year         = {2023},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-neonatal-mortality-rate-osis000003}}
}

License

Released under cc-by-4.0.

Original data ยฉ World Health Organization. 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


Provenance: ingested 2026-05-29 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho