Datasets:

electricsheepasia
/

asia-owid-absolute-number-of-deaths-from-ambient-particulate-air-pollution

country_name stringclasses 38 values	country_iso3 stringclasses 38 values	year int64 1.99k 2.02k	Absolute deaths from ambient PM2.5 air pollution- State of Global Air int64 100 1.14M
Afghanistan	AFG	1,990	16,200
Afghanistan	AFG	1,995	21,300
Afghanistan	AFG	2,000	24,900
Afghanistan	AFG	2,005	26,500
Afghanistan	AFG	2,010	27,600
Afghanistan	AFG	2,015	29,500
Armenia	ARM	1,990	1,900
Armenia	ARM	1,995	2,000
Armenia	ARM	2,000	2,000
Armenia	ARM	2,005	2,200
Armenia	ARM	2,010	2,300
Armenia	ARM	2,015	2,300
Azerbaijan	AZE	1,990	5,600
Azerbaijan	AZE	1,995	5,500
Azerbaijan	AZE	2,000	5,300
Azerbaijan	AZE	2,005	5,100
Azerbaijan	AZE	2,010	5,900
Azerbaijan	AZE	2,015	6,100
Bahrain	BHR	1,990	200
Bahrain	BHR	1,995	200
Bahrain	BHR	2,000	200
Bahrain	BHR	2,005	200
Bahrain	BHR	2,010	200
Bahrain	BHR	2,015	200
Bangladesh	BGD	1,990	81,200
Bangladesh	BGD	1,995	80,300
Bangladesh	BGD	2,000	85,700
Bangladesh	BGD	2,005	101,000
Bangladesh	BGD	2,010	110,300
Bangladesh	BGD	2,015	122,400
Bhutan	BTN	1,990	300
Bhutan	BTN	1,995	200
Bhutan	BTN	2,000	200
Bhutan	BTN	2,005	300
Bhutan	BTN	2,010	300
Bhutan	BTN	2,015	400
Cambodia	KHM	1,990	5,500
Cambodia	KHM	1,995	6,000
Cambodia	KHM	2,000	5,900
Cambodia	KHM	2,005	6,000
Cambodia	KHM	2,010	5,600
Cambodia	KHM	2,015	6,100
China	CHN	1,990	945,300
China	CHN	1,995	981,600
China	CHN	2,000	1,039,300
China	CHN	2,005	1,140,100
China	CHN	2,010	1,098,800
China	CHN	2,015	1,108,100
Cyprus	CYP	1,990	300
Cyprus	CYP	1,995	300
Cyprus	CYP	2,000	300
Cyprus	CYP	2,005	300
Cyprus	CYP	2,010	300
Cyprus	CYP	2,015	300
Georgia	GEO	1,990	4,700
Georgia	GEO	1,995	4,000
Georgia	GEO	2,000	4,000
Georgia	GEO	2,005	4,100
Georgia	GEO	2,010	4,200
Georgia	GEO	2,015	3,900
India	IND	1,990	737,400
India	IND	1,995	795,200
India	IND	2,000	857,300
India	IND	2,005	895,900
India	IND	2,010	957,000
India	IND	2,015	1,090,400
Indonesia	IDN	1,990	53,200
Indonesia	IDN	1,995	57,300
Indonesia	IDN	2,000	64,400
Indonesia	IDN	2,005	71,100
Indonesia	IDN	2,010	71,400
Indonesia	IDN	2,015	78,600
Iran	IRN	1,990	22,500
Iran	IRN	1,995	21,700
Iran	IRN	2,000	23,700
Iran	IRN	2,005	27,400
Iran	IRN	2,010	31,500
Iran	IRN	2,015	33,300
Iraq	IRQ	1,990	9,700
Iraq	IRQ	1,995	11,500
Iraq	IRQ	2,000	13,000
Iraq	IRQ	2,005	14,300
Iraq	IRQ	2,010	17,500
Iraq	IRQ	2,015	15,700
Israel	ISR	1,990	1,700
Israel	ISR	1,995	1,900
Israel	ISR	2,000	1,700
Israel	ISR	2,005	1,700
Israel	ISR	2,010	1,800
Israel	ISR	2,015	2,100
Japan	JPN	1,990	38,100
Japan	JPN	1,995	40,700
Japan	JPN	2,000	41,800
Japan	JPN	2,005	48,200
Japan	JPN	2,010	50,800
Japan	JPN	2,015	60,600
Jordan	JOR	1,990	1,000
Jordan	JOR	1,995	1,100
Jordan	JOR	2,000	1,100
Jordan	JOR	2,005	1,100

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Absolute Number Of Deaths From Ambient Particulate Air Pollution | Asia (Our World in Data)

🌏 282 observations · 47 Asia countries · 1990–2015 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 282 observations of Absolute Number Of Deaths From Ambient Particulate Air Pollution data across 47 Asia countries, spanning 1990–2015.

About the source

Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Absolute Number Of Deaths From Ambient Particulate Air Pollution

Geographic coverage

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

Country	Rows	First year	Last year
`AFG`	6	1990	2015
`ARE`	6	1990	2015
`ARM`	6	1990	2015
`AZE`	6	1990	2015
`BGD`	6	1990	2015
`BHR`	6	1990	2015
`BTN`	6	1990	2015
`CHN`	6	1990	2015
`CYP`	6	1990	2015
`GEO`	6	1990	2015
`IDN`	6	1990	2015
`IND`	6	1990	2015
`IRN`	6	1990	2015
`IRQ`	6	1990	2015
`ISR`	6	1990	2015
...	32 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Afghanistan`
`country_iso3`	`string`	—	`AFG`
`year`	`int64`	—	`1990`
`Absolute deaths from ambient PM2.5 air pollution- State of Global Air`	`int64`	—	`16200`

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-absolute-number-of-deaths-from-ambient-particulate-air-pollution")
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="Absolute deaths from ambient PM2.5 air pollution- State of Global Air")

Citation

@misc{asia_owid_absolute_number_of_deaths_from_ambient_particulate_air_pollution_2015,
  title        = {Absolute Number Of Deaths From Ambient Particulate Air Pollution | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2015},
  url          = {https://ourworldindata.org/grapher/absolute-number-of-deaths-from-ambient-particulate-air-pollution},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-absolute-number-of-deaths-from-ambient-particulate-air-pollution}}
}

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/absolute-number-of-deaths-from-ambient-particulate-air-pollution

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