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electricsheepeurope/europe-owid-fixed-telephone-subscriptions-per-100-people

Fixed Telephone Subscriptions Per 100 People | Europe (Our World in Data) 🇪🇺 2,438 observations · 43 Europe countries · 1960–2023 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 2,438 observations of Fixed Telephone Subscriptions Per 100 People data across 43 Europe countries, spanning 1960–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Fixed Telephone Subscriptions… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-fixed-telephone-subscriptions-per-100-people.

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Dataset Card

Fixed Telephone Subscriptions Per 100 People | Europe (Our World in Data)

🇪🇺 2,438 observations · 43 Europe countries · 1960–2023 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years license

TL;DR

This dataset contains 2,438 observations of Fixed Telephone Subscriptions Per 100 People data across 43 Europe countries, spanning 1960–2023.

About the source

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

Geographic coverage

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

CountryRowsFirst yearLast year
ALB6419602023
AUT6419602023
BEL6419602023
DNK6419602023
BLR6419602023
DEU6419602023
CHE6419602023
GBR6419602023
FRA6419602023
FIN6419602023
ESP6419602023
UKR6419602023
SVK6419602023
SWE6419602023
PRT6419602023
...28 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Albania
country_iso3string—ALB
yearint64—1960
Fixed telephone subscriptions (per 100 people)float64—0.40001425

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-fixed-telephone-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="Fixed telephone subscriptions (per 100 people)")

Citation

bibtex
@misc{europe_owid_fixed_telephone_subscriptions_per_100_people_2023,
  title        = {Fixed Telephone Subscriptions Per 100 People | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/fixed-telephone-subscriptions-per-100-people},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-fixed-telephone-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 2026-06-08 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/fixed-telephone-subscriptions-per-100-people