CoolFace
Datasetpublic

electricsheepasia/asia-who-diabetes-treatment-coverage-tmentcrude

Diabetes treatment coverage, crude | Asia (WHO GHO) 🌏 4,752 observations Β· 48 Asia countries Β· 1990–2022 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 4,752 observations of Diabetes treatment coverage, crude data across 48 Asia countries, spanning 1990–2022, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health Organization License: cc-by-4.0 Topic: Diabetes treatment… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-diabetes-treatment-coverage-tmentcrude.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes80downloads
Dataset Card

Diabetes treatment coverage, crude | Asia (WHO GHO)

🌏 4,752 observations Β· 48 Asia countries Β· 1990–2022 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 4,752 observations of Diabetes treatment coverage, crude data across 48 Asia countries, spanning 1990–2022, covering 1 distinct indicators.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
AFG9919902022
ARE9919902022
ARM9919902022
AZE9919902022
BGD9919902022
BHR9919902022
BRN9919902022
BTN9919902022
CHN9919902022
CYP9919902022
GEO9919902022
IDN9919902022
IND9919902022
IRN9919902022
IRQ9919902022
...33 more countries

Indicators (sample)

  • β€”NCD_DIABETES_TREATMENT_CRUDE

Schema

ColumnTypeDescriptionExample
indicator_codeobjectβ€”NCD_DIABETES_TREATMENT_CRUDE
country_iso3objectβ€”AFG
who_regionobjectβ€”EMR
yearint64β€”1990
dim1_typeobjectβ€”SEX
dim1objectβ€”SEX_BTSX
dim2_typeobjectβ€”AGEGROUP
dim2objectβ€”AGEGROUP_YEARS30-PLUS
value_numericfloat64β€”21.441543
value_lowfloat64β€”11.233259
value_highfloat64β€”35.224789
value_displayobjectβ€”21.4 [11.2-35.2]
last_updatedobjectβ€”2024-11-13T10:26:48.993+01:00

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • β€”`dim1_type` (1 unique values): SEX
  • β€”`dim1` (3 unique values): SEX_BTSX, SEX_FMLE, SEX_MLE
  • β€”`dim2_type` (1 unique values): AGEGROUP
  • β€”`dim2` (1 unique values): AGEGROUP_YEARS30-PLUS

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-diabetes-treatment-coverage-tmentcrude")
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[df["indicator_code"] == "NCD_DIABETES_TREATMENT_CRUDE"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="NCD_DIABETES_TREATMENT_CRUDE")

Pivot to country Γ— year matrix

python
matrix = (df[df["indicator_code"] == "NCD_DIABETES_TREATMENT_CRUDE"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{asia_who_diabetes_treatment_coverage_tmentcrude_2022,
  title        = {Diabetes treatment coverage, crude | Asia (WHO GHO)},
  author       = {World Health Organization},
  year         = {2022},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-who-diabetes-treatment-coverage-tmentcrude}}
}

License

Released under cc-by-4.0.

Original data Β© World Health Organization. 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 2026-05-29 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho