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country_name
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year
int64
2.02k
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Took prescribed medication
float64
16.6
68.3
Bahrain
BHR
2,020
35.087814
Bangladesh
BGD
2,020
18.87141
China
CHN
2,020
32.706
Cyprus
CYP
2,020
28.826624
Georgia
GEO
2,020
56.773544
India
IND
2,020
56.841625
Indonesia
IDN
2,020
45.835903
Iran
IRN
2,020
45.451477
Iraq
IRQ
2,020
32.61619
Jordan
JOR
2,020
28.471727
Kazakhstan
KAZ
2,020
59.52493
Kyrgyzstan
KGZ
2,020
49.351387
Laos
LAO
2,020
68.3357
Lebanon
LBN
2,020
28.975677
Malaysia
MYS
2,020
27.11038
Mongolia
MNG
2,020
35.463104
Myanmar
MMR
2,020
46.74901
Nepal
NPL
2,020
37.241043
Philippines
PHL
2,020
41.71789
Saudi Arabia
SAU
2,020
16.644318
South Korea
KOR
2,020
46.21585

Dealt With Anxiety Depression Took Prescribed Medication | Asia (Our World in Data)

🌏 27 observations · 27 Asia countries · 2020–2020 · Repackaged by Electric Sheep Asia

rows countries years license

TL;DR

This dataset contains 27 observations of Dealt With Anxiety Depression Took Prescribed Medication data across 27 Asia countries, spanning 2020–2020.

About the source

  • Source: Our World in Data
  • Publisher: Our World in Data
  • License: cc-by-4.0
  • Topic: Dealt With Anxiety Depression Took Prescribed Medication

Geographic coverage

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

Country Rows First year Last year
ARE 1 2020 2020
BGD 1 2020 2020
BHR 1 2020 2020
CHN 1 2020 2020
CYP 1 2020 2020
GEO 1 2020 2020
IDN 1 2020 2020
IND 1 2020 2020
IRN 1 2020 2020
IRQ 1 2020 2020
JOR 1 2020 2020
KAZ 1 2020 2020
KGZ 1 2020 2020
KOR 1 2020 2020
LAO 1 2020 2020
... 12 more countries

Schema

Column Type Description Example
country_name string Bahrain
country_iso3 string BHR
year int64 2020
Took prescribed medication float64 35.087814

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-dealt-with-anxiety-depression-took-prescribed-medication")
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="Took prescribed medication")

Citation

@misc{asia_owid_dealt_with_anxiety_depression_took_prescribed_medication_2020,
  title        = {Dealt With Anxiety Depression Took Prescribed Medication | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2020},
  url          = {https://ourworldindata.org/grapher/dealt-with-anxiety-depression-took-prescribed-medication},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-dealt-with-anxiety-depression-took-prescribed-medication}}
}

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 2026-06-03 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/dealt-with-anxiety-depression-took-prescribed-medication

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