Datasets:

electricsheepasia
/

asia-owid-ict-adoption-per-100-people

country_name stringclasses 39 values	country_iso3 stringclasses 39 values	year int64 1.96k 2.03k	Landline phone subscriptions float64 0 63.1 ⌀	Landline Internet subscriptions float64 0 46.6 ⌀	Mobile phone subscriptions float64 0 209 ⌀	Internet users float64 0 100 ⌀
Afghanistan	AFG	1,960	0.089302	null	0	null
Afghanistan	AFG	1,961	0.085584	null	null	null
Afghanistan	AFG	1,962	0.085584	null	null	null
Afghanistan	AFG	1,963	0.085584	null	null	null
Afghanistan	AFG	1,964	0.085584	null	null	null
Afghanistan	AFG	1,965	0.097228	null	0	null
Afghanistan	AFG	1,966	0.093408	null	null	null
Afghanistan	AFG	1,967	0.093408	null	null	null
Afghanistan	AFG	1,968	0.093408	null	null	null
Afghanistan	AFG	1,969	0.093408	null	null	null
Afghanistan	AFG	1,970	0.148796	null	0	null
Afghanistan	AFG	1,971	0.143194	null	null	null
Afghanistan	AFG	1,972	0.143194	null	null	null
Afghanistan	AFG	1,973	0.143194	null	null	null
Afghanistan	AFG	1,974	0.143194	null	null	null
Afghanistan	AFG	1,975	0.176847	null	0	null
Afghanistan	AFG	1,976	0.178668	null	0	null
Afghanistan	AFG	1,977	0.174978	null	0	null
Afghanistan	AFG	1,978	0.195535	null	0	null
Afghanistan	AFG	1,979	0.19482	null	0	null
Afghanistan	AFG	1,980	0.206621	null	0	null
Afghanistan	AFG	1,981	0.284173	null	0	null
Afghanistan	AFG	1,982	0.27755	null	0	null
Afghanistan	AFG	1,983	0.291415	null	0	null
Afghanistan	AFG	1,984	0.292863	null	0	null
Afghanistan	AFG	1,985	0.294895	null	0	null
Afghanistan	AFG	1,986	0.306266	null	0	null
Afghanistan	AFG	1,987	0.319682	null	0	null
Afghanistan	AFG	1,988	0.327444	null	0	null
Afghanistan	AFG	1,989	0.327925	null	0	null
Afghanistan	AFG	1,990	0.301	null	0	0
Afghanistan	AFG	1,991	0.302	null	0	null
Afghanistan	AFG	1,992	0.218	null	0	null
Afghanistan	AFG	1,993	0.194	null	0	null
Afghanistan	AFG	1,994	0.178	null	0	null
Afghanistan	AFG	1,995	0.17	null	0	null
Afghanistan	AFG	1,996	0.163	null	0	null
Afghanistan	AFG	1,997	0.157	null	0	null
Afghanistan	AFG	1,998	0.151	null	0	null
Afghanistan	AFG	1,999	0.146	null	0	null
Afghanistan	AFG	2,000	0.144	null	0	null
Afghanistan	AFG	2,001	0.143	null	0	0.004723
Afghanistan	AFG	2,002	0.155	null	0.116942	0.004561
Afghanistan	AFG	2,003	0.161	null	0.879776	0.087891
Afghanistan	AFG	2,004	null	0.000849	2.54662	0.105809
Afghanistan	AFG	2,005	null	0.000901	4.91711	1.22415
Afghanistan	AFG	2,006	null	0.001967	9.9133	2.10712
Afghanistan	AFG	2,007	null	0.00193	18.0167	1.9
Afghanistan	AFG	2,008	null	0.001888	29.8268	1.84
Afghanistan	AFG	2,009	0.0187	0.003641	38.2289	3.55
Afghanistan	AFG	2,010	0.0588	0.005303	36.1187	4
Afghanistan	AFG	2,011	0.046	null	47.0152	5
Afghanistan	AFG	2,012	0.295	0.004908	50.1967	5.45455
Afghanistan	AFG	2,013	0.303	0.004743	53.149	5.9
Afghanistan	AFG	2,014	0.311	0.004574	56.1322	7
Afghanistan	AFG	2,015	0.325	0.020889	58.256	8.26
Afghanistan	AFG	2,016	0.329	0.025363	62.2553	11
Afghanistan	AFG	2,017	0.333	0.025728	67.0508	13.5
Afghanistan	AFG	2,018	0.348	0.043543	59.8109	16.8
Afghanistan	AFG	2,019	0.356	0.051994	59.6471	17.6
Afghanistan	AFG	2,020	0.373	0.068008	58.0461	17.0485
Afghanistan	AFG	2,021	0.364	0.066424	56.6945	16.5143
Afghanistan	AFG	2,022	0.4	0.07963	56.2655	17.1917
Afghanistan	AFG	2,023	0.439	0.080087	55.5475	17.7089
Armenia	ARM	1,960	null	null	0	null
Armenia	ARM	1,965	null	null	0	null
Armenia	ARM	1,970	null	null	0	null
Armenia	ARM	1,975	6.711888	null	0	null
Armenia	ARM	1,976	7.250603	null	0	null
Armenia	ARM	1,977	8.430216	null	0	null
Armenia	ARM	1,978	8.88677	null	0	null
Armenia	ARM	1,979	9.363726	null	0	null
Armenia	ARM	1,980	9.569002	null	0	null
Armenia	ARM	1,981	10.732743	null	0	null
Armenia	ARM	1,982	11.242934	null	0	null
Armenia	ARM	1,983	11.734585	null	0	null
Armenia	ARM	1,984	12.224558	null	0	null
Armenia	ARM	1,985	12.723818	null	0	null
Armenia	ARM	1,986	13.224404	null	0	null
Armenia	ARM	1,987	14.02414	null	0	null
Armenia	ARM	1,988	14.880431	null	0	null
Armenia	ARM	1,989	15.3704	null	0	null
Armenia	ARM	1,990	15.8	null	0	0
Armenia	ARM	1,991	15.8	null	0	null
Armenia	ARM	1,992	16.2	null	0	null
Armenia	ARM	1,993	16.9	null	0	null
Armenia	ARM	1,994	17.4	null	0	0.00912
Armenia	ARM	1,995	17.6	null	0	0.0527
Armenia	ARM	1,996	17.7	null	0.009094	0.0946
Armenia	ARM	1,997	17.5	null	0.152839	0.112
Armenia	ARM	1,998	17.3	null	0.241657	0.129
Armenia	ARM	1,999	17.2	null	0.254552	0.971
Armenia	ARM	2,000	17.1	null	0.55944	1.30047
Armenia	ARM	2,001	17.2	0.000195	0.826884	1.63109
Armenia	ARM	2,002	17.8	0.000262	2.335	1.96041
Armenia	ARM	2,003	18.5	0.000329	3.76374	4.57522
Armenia	ARM	2,004	19.2	0.033085	6.72643	4.89901
Armenia	ARM	2,005	19.8	0.066193	10.5791	5.25298
Armenia	ARM	2,006	20.2	null	42.1272	5.63179
Armenia	ARM	2,007	21	0.1311	63.0765	6.02125

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Ict Adoption Per 100 People | Asia (Our World in Data)

🌏 2,767 observations · 48 Asia countries · 1960–2025 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 2,767 observations of Ict Adoption Per 100 People data across 48 Asia countries, spanning 1960–2025.

About the source

Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Ict Adoption Per 100 People

Geographic coverage

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

Country	Rows	First year	Last year
`IND`	65	1960	2025
`ISR`	65	1960	2024
`IDN`	65	1960	2024
`THA`	65	1960	2024
`SGP`	65	1960	2024
`VNM`	65	1960	2024
`TUR`	65	1960	2024
`MYS`	65	1960	2024
`JPN`	64	1960	2023
`KWT`	64	1960	2023
`JOR`	64	1960	2023
`AFG`	64	1960	2023
`CYP`	64	1960	2023
`BTN`	64	1960	2023
`IRN`	64	1960	2023
...	33 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Afghanistan`
`country_iso3`	`string`	—	`AFG`
`year`	`int64`	—	`1960`
`Landline phone subscriptions`	`float64`	—	`0.0893016`
`Landline Internet subscriptions`	`float64`	—	`0.000848873`
`Mobile phone subscriptions`	`float64`	—	`0.0`
`Internet users`	`float64`	—	`0.0`

Data quality & caveats

Landline phone subscriptions column has 5.6% null values (filtered to non-null in this dataset).

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-ict-adoption-per-100-people")
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="Landline phone subscriptions")

Citation

@misc{asia_owid_ict_adoption_per_100_people_2025,
  title        = {Ict Adoption Per 100 People | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/ict-adoption-per-100-people},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-ict-adoption-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 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 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/ict-adoption-per-100-people

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