Datasets:
license: cc-by-4.0
language:
- en
task_categories:
- tabular-classification
- tabular-regression
- time-series-forecasting
multilinguality: monolingual
size_categories:
- n<1K
tags:
- tabular
- asia
- 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 | Asia (Our
World in Data)
Adoption Of Mobile Money Accounts Vs Adoption Of Mobile Phones | Asia (Our World in Data)
🌏 83 observations · 39 Asia countries · 2014–2022 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 83 observations of Adoption Of Mobile Money Accounts Vs Adoption Of Mobile Phones data across 39 Asia countries, spanning 2014–2022.
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
39 Asia countries · top rows shown below, sorted by row count:
| Country | Rows | First year | Last year |
|---|---|---|---|
AFG |
3 | 2014 | 2021 |
ARE |
3 | 2014 | 2021 |
ARM |
3 | 2014 | 2021 |
BGD |
3 | 2014 | 2021 |
IRN |
3 | 2014 | 2021 |
IND |
3 | 2014 | 2021 |
IDN |
3 | 2014 | 2021 |
SGP |
3 | 2014 | 2021 |
THA |
3 | 2014 | 2021 |
TUR |
3 | 2014 | 2021 |
JOR |
3 | 2014 | 2021 |
LKA |
3 | 2014 | 2021 |
KHM |
3 | 2014 | 2021 |
MNG |
3 | 2014 | 2021 |
VNM |
3 | 2014 | 2022 |
| ... | 24 more countries |
Schema
| Column | Type | Description | Example |
|---|---|---|---|
country_name |
string |
— | Afghanistan |
country_iso3 |
string |
— | AFG |
year |
int64 |
— | 2014 |
Share with a mobile money account |
float64 |
— | 0.3044038 |
Share with a mobile phone |
float64 |
— | 67.83732 |
World region according to OWID |
string |
— | Asia |
Data quality & caveats
Share with a mobile money accountcolumn has 14.5% null values (filtered to non-null in this dataset).
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepasia/asia-owid-adoption-of-mobile-money-accounts-vs-adoption-of-mobile-phones")
df = ds["train"].to_pandas()
print(df.head())
Filter to one country
indonesia = df[df["country_iso3"] == "IDN"]
Time-series for a single indicator
sample = df.sort_values("year")
sample.plot(x="year", y="Share with a mobile money account")
Citation
@misc{asia_owid_adoption_of_mobile_money_accounts_vs_adoption_of_mobile_phones_2022,
title = {Adoption Of Mobile Money Accounts Vs Adoption Of Mobile Phones | Asia (Our World in Data)},
author = {Our World in Data},
year = {2022},
url = {https://ourworldindata.org/grapher/adoption-of-mobile-money-accounts-vs-adoption-of-mobile-phones},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-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 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 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/adoption-of-mobile-money-accounts-vs-adoption-of-mobile-phones