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electricsheepasia/asia-owid-trust-organizations-wvs

Trust Organizations Wvs | Asia (Our World in Data) 🌏 104 observations · 34 Asia countries · 1984–2022 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 104 observations of Trust Organizations Wvs data across 34 Asia countries, spanning 1984–2022. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Trust Organizations Wvs Geographic coverage 34 Asia countries · top rows… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-trust-organizations-wvs.

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Dataset Card

Trust Organizations Wvs | Asia (Our World in Data)

🌏 104 observations · 34 Asia countries · 1984–2022 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 104 observations of Trust Organizations Wvs data across 34 Asia countries, spanning 1984–2022.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
JPN719842022
KOR719842022
TUR619932022
IND619932022
CHN619932022
ARM419982022
PHL419982022
IRQ420042022
GEO419982022
JOR420042022
PAK419982022
TWN419982022
AZE319982022
KGZ320042022
IRN320042022
...19 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Armenia
country_iso3string—ARM
yearint64—1998
Universitiesfloat64—54.91981
Pressfloat64—33.1
Women's movementfloat64—26.65
Churchesfloat64—64.85001
Environmental protection movementfloat64—40.7
Labor unionsfloat64—17.5
Banksfloat64—56.69176
Charitable or humanitarian organizationsfloat64—46.38583
Major companiesfloat64—43.1
Televisionfloat64—44.45
Policefloat64—31.3
Universities (Annotations)string——
Press (Annotations)string——
Women's movement (Annotations)string——
Churches (Annotations)string——
Environmental protection movement (Annotations)string——
Labor unions (Annotations)string——
Banks (Annotations)string——
Charitable or humanitarian organizations (Annotations)string——
Major companies (Annotations)string——
Television (Annotations)string——
Police (Annotations)string——

Data quality & caveats

  • —Universities column has 50.0% null values (filtered to non-null in this dataset).

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-trust-organizations-wvs")
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="Universities")

Citation

bibtex
@misc{asia_owid_trust_organizations_wvs_2022,
  title        = {Trust Organizations Wvs | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2022},
  url          = {https://ourworldindata.org/grapher/trust-organizations-wvs},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-trust-organizations-wvs}}
}

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 2026-06-12 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/trust-organizations-wvs