Datasets:

electricsheepasia
/

asia-owid-death-rate-from-mental-health-and-substance-use-disorders-who

country_name stringclasses 38 values	country_iso3 stringclasses 38 values	year int64 2k 2.02k	Death rate from mental and substance use disorders among both sexes float64 0.08 22.9
Afghanistan	AFG	2,000	1.37
Afghanistan	AFG	2,001	1.4
Afghanistan	AFG	2,002	1.38
Afghanistan	AFG	2,003	1.39
Afghanistan	AFG	2,004	1.4
Afghanistan	AFG	2,005	1.4
Afghanistan	AFG	2,006	1.39
Afghanistan	AFG	2,007	1.37
Afghanistan	AFG	2,008	1.33
Afghanistan	AFG	2,009	1.27
Afghanistan	AFG	2,010	1.27
Afghanistan	AFG	2,011	1.33
Afghanistan	AFG	2,012	1.35
Afghanistan	AFG	2,013	1.37
Afghanistan	AFG	2,014	1.37
Afghanistan	AFG	2,015	1.35
Afghanistan	AFG	2,016	1.37
Afghanistan	AFG	2,017	1.43
Afghanistan	AFG	2,018	1.45
Afghanistan	AFG	2,019	1.45
Afghanistan	AFG	2,020	1.45
Afghanistan	AFG	2,021	1.54
Armenia	ARM	2,000	0.79
Armenia	ARM	2,001	0.95
Armenia	ARM	2,002	1.13
Armenia	ARM	2,003	0.85
Armenia	ARM	2,004	0.64
Armenia	ARM	2,005	0.6
Armenia	ARM	2,006	0.61
Armenia	ARM	2,007	0.54
Armenia	ARM	2,008	0.27
Armenia	ARM	2,009	0.24
Armenia	ARM	2,010	0.11
Armenia	ARM	2,011	0.35
Armenia	ARM	2,012	0.29
Armenia	ARM	2,013	0.27
Armenia	ARM	2,014	0.2
Armenia	ARM	2,015	0.38
Armenia	ARM	2,016	0.24
Armenia	ARM	2,017	0.35
Armenia	ARM	2,018	0.62
Armenia	ARM	2,019	0.51
Armenia	ARM	2,020	0.95
Armenia	ARM	2,021	0.46
Azerbaijan	AZE	2,000	2.51
Azerbaijan	AZE	2,001	2.31
Azerbaijan	AZE	2,002	2.25
Azerbaijan	AZE	2,003	2.35
Azerbaijan	AZE	2,004	2.35
Azerbaijan	AZE	2,005	2.54
Azerbaijan	AZE	2,006	2.46
Azerbaijan	AZE	2,007	2.31
Azerbaijan	AZE	2,008	2.4
Azerbaijan	AZE	2,009	2.27
Azerbaijan	AZE	2,010	2.27
Azerbaijan	AZE	2,011	2.26
Azerbaijan	AZE	2,012	2.11
Azerbaijan	AZE	2,013	1.97
Azerbaijan	AZE	2,014	1.91
Azerbaijan	AZE	2,015	1.85
Azerbaijan	AZE	2,016	1.78
Azerbaijan	AZE	2,017	1.81
Azerbaijan	AZE	2,018	1.72
Azerbaijan	AZE	2,019	1.74
Azerbaijan	AZE	2,020	2.53
Azerbaijan	AZE	2,021	1.45
Bahrain	BHR	2,000	0.89
Bahrain	BHR	2,001	0.84
Bahrain	BHR	2,002	0.73
Bahrain	BHR	2,003	0.68
Bahrain	BHR	2,004	0.63
Bahrain	BHR	2,005	0.6
Bahrain	BHR	2,006	0.51
Bahrain	BHR	2,007	0.52
Bahrain	BHR	2,008	0.52
Bahrain	BHR	2,009	0.48
Bahrain	BHR	2,010	0.47
Bahrain	BHR	2,011	0.47
Bahrain	BHR	2,012	0.48
Bahrain	BHR	2,013	0.46
Bahrain	BHR	2,014	0.47
Bahrain	BHR	2,015	0.46
Bahrain	BHR	2,016	0.5
Bahrain	BHR	2,017	0.51
Bahrain	BHR	2,018	0.52
Bahrain	BHR	2,019	0.5
Bahrain	BHR	2,020	0.55
Bahrain	BHR	2,021	0.45
Bangladesh	BGD	2,000	0.28
Bangladesh	BGD	2,001	0.28
Bangladesh	BGD	2,002	0.29
Bangladesh	BGD	2,003	0.29
Bangladesh	BGD	2,004	0.29
Bangladesh	BGD	2,005	0.29
Bangladesh	BGD	2,006	0.3
Bangladesh	BGD	2,007	0.31
Bangladesh	BGD	2,008	0.31
Bangladesh	BGD	2,009	0.31
Bangladesh	BGD	2,010	0.31
Bangladesh	BGD	2,011	0.3

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Death Rate From Mental Health And Substance Use Disorders Who | Asia (Our World in Data)

🌏 1,034 observations · 47 Asia countries · 2000–2021 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 1,034 observations of Death Rate From Mental Health And Substance Use Disorders Who data across 47 Asia countries, spanning 2000–2021.

About the source

Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Death Rate From Mental Health And Substance Use Disorders Who

Geographic coverage

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

Country	Rows	First year	Last year
`AFG`	22	2000	2021
`ARE`	22	2000	2021
`ARM`	22	2000	2021
`AZE`	22	2000	2021
`BGD`	22	2000	2021
`BHR`	22	2000	2021
`BRN`	22	2000	2021
`BTN`	22	2000	2021
`CHN`	22	2000	2021
`CYP`	22	2000	2021
`GEO`	22	2000	2021
`IDN`	22	2000	2021
`IND`	22	2000	2021
`IRN`	22	2000	2021
`IRQ`	22	2000	2021
...	32 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Afghanistan`
`country_iso3`	`string`	—	`AFG`
`year`	`int64`	—	`2000`
`Death rate from mental and substance use disorders among both sexes`	`float64`	—	`1.37`

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-death-rate-from-mental-health-and-substance-use-disorders-who")
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="Death rate from mental and substance use disorders among both sexes")

Citation

@misc{asia_owid_death_rate_from_mental_health_and_substance_use_disorders_who_2021,
  title        = {Death Rate From Mental Health And Substance Use Disorders Who | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2021},
  url          = {https://ourworldindata.org/grapher/death-rate-from-mental-health-and-substance-use-disorders-who},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-death-rate-from-mental-health-and-substance-use-disorders-who}}
}

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/death-rate-from-mental-health-and-substance-use-disorders-who

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