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metadata
license: cc-by-4.0
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
  - time-series-forecasting
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - europe
  - our-world-in-data
  - adoption-of-mobile-money-accounts-vs-adoption-of-mobile-phones
  - owid
  - long-run-series
  - time-series
pretty_name: >-
  Adoption Of Mobile Money Accounts Vs Adoption Of Mobile Phones | Europe (Our
  World in Data)

Adoption Of Mobile Money Accounts Vs Adoption Of Mobile Phones | Europe (Our World in Data)

🇪🇺 39 observations · 36 Europe countries · 2014–2021 · Repackaged by Electric Sheep Europe

rows countries years license

TL;DR

This dataset contains 39 observations of Adoption Of Mobile Money Accounts Vs Adoption Of Mobile Phones data across 36 Europe countries, spanning 2014–2021.

About the source

  • Source: Our World in Data
  • Publisher: Our World in Data
  • License: cc-by-4.0
  • Topic: Adoption Of Mobile Money Accounts Vs Adoption Of Mobile Phones

Geographic coverage

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

Country Rows First year Last year
ROU 3 2014 2021
ALB 2 2017 2021
BEL 1 2021 2021
AUT 1 2021 2021
BGR 1 2021 2021
BIH 1 2021 2021
CZE 1 2021 2021
CHE 1 2021 2021
DNK 1 2021 2021
ESP 1 2021 2021
EST 1 2021 2021
DEU 1 2021 2021
FRA 1 2021 2021
GBR 1 2021 2021
GRC 1 2021 2021
... 21 more countries

Schema

Column Type Description Example
country_name string Albania
country_iso3 string ALB
year int64 2017
Share with a mobile money account float64 2.377762
Share with a mobile phone float64 90.60962
World region according to OWID string Europe

Data quality & caveats

  • Share with a mobile money account column has 89.7% null values (filtered to non-null in this dataset).

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-adoption-of-mobile-money-accounts-vs-adoption-of-mobile-phones")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Share with a mobile money account")

Citation

@misc{europe_owid_adoption_of_mobile_money_accounts_vs_adoption_of_mobile_phones_2021,
  title        = {Adoption Of Mobile Money Accounts Vs Adoption Of Mobile Phones | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2021},
  url          = {https://ourworldindata.org/grapher/adoption-of-mobile-money-accounts-vs-adoption-of-mobile-phones},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-adoption-of-mobile-money-accounts-vs-adoption-of-mobile-phones}}
}

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 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/adoption-of-mobile-money-accounts-vs-adoption-of-mobile-phones