electricsheepasia/asia-owid-dentistry-personnel-per-1000
Dentistry Personnel Per 1000 | Asia (Our World in Data) π 725 observations Β· 46 Asia countries Β· 2000β2023 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 725 observations of Dentistry Personnel Per 1000 data across 46 Asia countries, spanning 2000β2023. 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 Asiaβ¦ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-dentistry-personnel-per-1000.
Dentistry Personnel Per 1000 | Asia (Our World in Data)
π 725 observations Β· 46 Asia countries Β· 2000β2023 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)
TL;DR
This dataset contains 725 observations of Dentistry Personnel Per 1000 data across 46 Asia countries, spanning 2000β2023.
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 countries Β· top rows shown below, sorted by row count:
Schema
Usage
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
indonesia = df[df["country_iso3"] == "IDN"]Time-series for a single indicator
sample = df.sort_values("year")
sample.plot(x="year", y="Health worker density, by type of occupation (per 10,000 population) - Dentists")Citation
@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
