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electricsheepasia/asia-owid-dentistry-personnel-per-1000

Dentistry Personnel Per 1000 | Asia (Our World in Data) 🌏 725 observations Β· 46 Asia countries Β· 2000–2023 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 725 observations of Dentistry Personnel Per 1000 data across 46 Asia countries, spanning 2000–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Dentistry Personnel Per 1000 Geographic coverage 46 Asia… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-dentistry-personnel-per-1000.

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Dataset Card

Dentistry Personnel Per 1000 | Asia (Our World in Data)

🌏 725 observations Β· 46 Asia countries Β· 2000–2023 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 725 observations of Dentistry Personnel Per 1000 data across 46 Asia countries, spanning 2000–2023.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Dentistry Personnel Per 1000

Geographic coverage

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

CountryRowsFirst yearLast year
ARE2420002023
GEO2420002023
MYS2420002023
KGZ2420002023
KAZ2420002023
ISR2420002023
TJK2420002023
TKM2420002023
TUR2320002022
KOR2320002022
AZE2320002022
ARM2320002022
CYP2320002022
LKA2120002023
BGD2020022023
...31 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Afghanistan
country_iso3stringβ€”AFG
yearint64β€”2006
Health worker density, by type of occupation (per 10,000 population) - Dentistsfloat64β€”0.13

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-dentistry-personnel-per-1000")
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="Health worker density, by type of occupation (per 10,000 population) - Dentists")

Citation

bibtex
@misc{asia_owid_dentistry_personnel_per_1000_2023,
  title        = {Dentistry Personnel Per 1000 | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/dentistry-personnel-per-1000},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-dentistry-personnel-per-1000}}
}

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 2026-06-03 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/dentistry-personnel-per-1000