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electricsheepasia/asia-owid-tuberculosis-cases-attributable-to-risk-factors

Tuberculosis Cases Attributable To Risk Factors | Asia (Our World in Data) 🌏 47 observations Β· 47 Asia countries Β· 2024–2024 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 47 observations of Tuberculosis Cases Attributable To Risk Factors data across 47 Asia countries, spanning 2024–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Tuberculosis Cases Attributable To Risk… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-tuberculosis-cases-attributable-to-risk-factors.

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Dataset Card

Tuberculosis Cases Attributable To Risk Factors | Asia (Our World in Data)

🌏 47 observations Β· 47 Asia countries Β· 2024–2024 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 47 observations of Tuberculosis Cases Attributable To Risk Factors data across 47 Asia countries, spanning 2024–2024.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Tuberculosis Cases Attributable To Risk Factors

Geographic coverage

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

CountryRowsFirst yearLast year
AFG120242024
ARE120242024
ARM120242024
AZE120242024
BGD120242024
BHR120242024
BRN120242024
BTN120242024
CHN120242024
CYP120242024
GEO120242024
IDN120242024
IND120242024
IRN120242024
IRQ120242024
...32 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Afghanistan
country_iso3stringβ€”AFG
yearint64β€”2024
HIV infectionfloat64β€”54.0
Alcohol abusefloat64β€”640.0
Smokingfloat64β€”3400.0
Diabetesint64β€”11000
Undernourishmentint64β€”5100

Data quality & caveats

  • β€”HIV infection column has 10.6% null values (filtered to non-null in this dataset).

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-tuberculosis-cases-attributable-to-risk-factors")
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="HIV infection")

Citation

bibtex
@misc{asia_owid_tuberculosis_cases_attributable_to_risk_factors_2024,
  title        = {Tuberculosis Cases Attributable To Risk Factors | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/tuberculosis-cases-attributable-to-risk-factors},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-tuberculosis-cases-attributable-to-risk-factors}}
}

License

Released under cc-by-4.0.

Original data Β© 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/tuberculosis-cases-attributable-to-risk-factors