--- 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) ๐Ÿ‡ช๐Ÿ‡บ **39 observations** ยท **36 Europe countries** ยท **2014โ€“2021** ยท *Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)* ![rows](https://img.shields.io/badge/rows-39-blue) ![countries](https://img.shields.io/badge/countries-36-green) ![years](https://img.shields.io/badge/years-2014โ€“2021-orange) ![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey) ## TL;DR This dataset contains **39 observations** of `Adoption Of Mobile Money Accounts Vs Adoption Of Mobile Phones` data across **36 Europe countries**, spanning **2014โ€“2021**. ## About the source - **Source:** [Our World in Data](https://ourworldindata.org/grapher/adoption-of-mobile-money-accounts-vs-adoption-of-mobile-phones) - **Publisher:** Our World in Data - **License:** [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/) - **Topic:** Adoption Of Mobile Money Accounts Vs Adoption Of Mobile Phones ## Geographic coverage 36 Europe countries ยท 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` | โ€” | `Albania` | | `country_iso3` | `string` | โ€” | `ALB` | | `year` | `int64` | โ€” | `2017` | | `Share with a mobile money account` | `float64` | โ€” | `2.377762` | | `Share with a mobile phone` | `float64` | โ€” | `90.60962` | | `World region according to OWID` | `string` | โ€” | `Europe` | ## Data quality & caveats - `Share with a mobile money account` column has 89.7% null values (filtered to non-null in this dataset). ## Usage ```python 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 ```python germany = df[df["country_iso3"] == "DEU"] ``` ### Time-series for a single indicator ```python sample = df.sort_values("year") sample.plot(x="year", y="Share with a mobile money account") ``` ## Citation ```bibtex @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](https://creativecommons.org/licenses/by/4.0/). Original data ยฉ 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](https://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_