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electricsheepasia/asia-owid-mobile-cellular-subscriptions-per-100-people

Mobile Cellular Subscriptions Per 100 People | Asia (Our World in Data) šŸŒ 2,028 observations Ā· 48 Asia countries Ā· 1980–2023 Ā· Repackaged by Electric Sheep Asia TL;DR This dataset contains 2,028 observations of Mobile Cellular Subscriptions Per 100 People data across 48 Asia 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-mobile-cellular-subscriptions-per-100-people.

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Dataset Card

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

šŸŒ 2,028 observations Ā· 48 Asia countries Ā· 1980–2023 Ā· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 2,028 observations of Mobile Cellular Subscriptions Per 100 People data across 48 Asia 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

48 Asia countries Ā· top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
AFG4419802023
ARM4419802023
AZE4419802023
BGD4419802023
BTN4419802023
BHR4419802023
CYP4419802023
CHN4419802023
IND4419802023
IRN4419802023
GEO4419802023
IDN4419802023
IRQ4419802023
KAZ4419802023
JPN4419802023
...33 more countries

Schema

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

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-mobile-cellular-subscriptions-per-100-people")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
indonesia = df[df["country_iso3"] == "IDN"]

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{asia_owid_mobile_cellular_subscriptions_per_100_people_2023,
  title        = {Mobile Cellular Subscriptions Per 100 People | Asia (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 Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-mobile-cellular-subscriptions-per-100-people}}
}

License

Released under cc-by-4.0.

Original data Ā© Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Asia repackaging.

About Electric Sheep

Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia 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/electricsheepasia


Provenance: ingested 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/mobile-cellular-subscriptions-per-100-people