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country_name
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country_iso3
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3
3
year
int64
2.02k
2.02k
Child mortality rate from rotavirus
float64
0.1
32.5
Afghanistan
AFG
2,016
16.9
Armenia
ARM
2,016
0.5
Azerbaijan
AZE
2,016
2.8
Bahrain
BHR
2,016
0.1
Bangladesh
BGD
2,016
5.5
Bhutan
BTN
2,016
3.6
Brunei
BRN
2,016
0.3
Cambodia
KHM
2,016
5.1
China
CHN
2,016
0.8
Cyprus
CYP
2,016
0.6
East Timor
TLS
2,016
32.5
Georgia
GEO
2,016
0.4
India
IND
2,016
9.2
Indonesia
IDN
2,016
8.8
Iran
IRN
2,016
1.9
Iraq
IRQ
2,016
4.1
Israel
ISR
2,016
0.4
Japan
JPN
2,016
0.2
Jordan
JOR
2,016
0.7
Kazakhstan
KAZ
2,016
0.5
Kuwait
KWT
2,016
0.3
Kyrgyzstan
KGZ
2,016
3.1
Laos
LAO
2,016
29.1
Lebanon
LBN
2,016
0.6
Malaysia
MYS
2,016
0.3
Maldives
MDV
2,016
0.4
Mongolia
MNG
2,016
0.1
Myanmar
MMR
2,016
7
Nepal
NPL
2,016
4
North Korea
PRK
2,016
5.8
Oman
OMN
2,016
0.3
Pakistan
PAK
2,016
9.4
Palestine
PSE
2,016
0.6
Philippines
PHL
2,016
7.7
Qatar
QAT
2,016
0.2
Saudi Arabia
SAU
2,016
0.3
Singapore
SGP
2,016
0.1
South Korea
KOR
2,016
0.1
Sri Lanka
LKA
2,016
0.2

Death Rate From Rotavirus Children Under 5 | Asia (Our World in Data)

🌏 49 observations · 49 Asia countries · 2016–2016 · Repackaged by Electric Sheep Asia

rows countries years license

TL;DR

This dataset contains 49 observations of Death Rate From Rotavirus Children Under 5 data across 49 Asia countries, spanning 2016–2016.

About the source

Geographic coverage

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

Country Rows First year Last year
AFG 1 2016 2016
ARE 1 2016 2016
ARM 1 2016 2016
AZE 1 2016 2016
BGD 1 2016 2016
BHR 1 2016 2016
BRN 1 2016 2016
BTN 1 2016 2016
CHN 1 2016 2016
CYP 1 2016 2016
GEO 1 2016 2016
IDN 1 2016 2016
IND 1 2016 2016
IRN 1 2016 2016
IRQ 1 2016 2016
... 34 more countries

Schema

Column Type Description Example
country_name string Afghanistan
country_iso3 string AFG
year int64 2016
Child mortality rate from rotavirus float64 16.9

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-death-rate-from-rotavirus-children-under-5")
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="Child mortality rate from rotavirus")

Citation

@misc{asia_owid_death_rate_from_rotavirus_children_under_5_2016,
  title        = {Death Rate From Rotavirus Children Under 5 | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2016},
  url          = {https://ourworldindata.org/grapher/death-rate-from-rotavirus-children-under-5},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-death-rate-from-rotavirus-children-under-5}}
}

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-rotavirus-children-under-5

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