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electricsheepeurope/europe-owid-mobile-cellular-subscriptions-per-100-people

Mobile Cellular Subscriptions Per 100 People | Europe (Our World in Data) 🇪🇺 1,810 observations · 43 Europe countries · 1980–2023 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 1,810 observations of Mobile Cellular Subscriptions Per 100 People data across 43 Europe countries, spanning 1980–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Mobile Cellular Subscriptions… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-mobile-cellular-subscriptions-per-100-people.

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Dataset Card

Mobile Cellular Subscriptions Per 100 People | Europe (Our World in Data)

🇪🇺 1,810 observations · 43 Europe countries · 1980–2023 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 1,810 observations of Mobile Cellular Subscriptions Per 100 People data across 43 Europe countries, spanning 1980–2023.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Mobile Cellular Subscriptions Per 100 People

Geographic coverage

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

CountryRowsFirst yearLast year
ALB4419802023
AND4419802023
AUT4419802023
BEL4419802023
BGR4419802023
BIH4419802023
BLR4419802023
CHE4419802023
CZE4419802023
DEU4419802023
DNK4419802023
EST4419802023
FIN4419802023
FRA4419802023
GBR4419802023
...28 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Albania
country_iso3string—ALB
yearint64—1980
Mobile cellular subscriptions (per 100 people)float64—0.0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-mobile-cellular-subscriptions-per-100-people")
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.sort_values("year")
sample.plot(x="year", y="Mobile cellular subscriptions (per 100 people)")

Citation

bibtex
@misc{europe_owid_mobile_cellular_subscriptions_per_100_people_2023,
  title        = {Mobile Cellular Subscriptions Per 100 People | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/mobile-cellular-subscriptions-per-100-people},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-mobile-cellular-subscriptions-per-100-people}}
}

License

Released under cc-by-4.0.

Original data © Our World in Data. 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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/mobile-cellular-subscriptions-per-100-people