electricsheepafrica/africa-owid-nurses-and-midwives-per-1000-people

Nurses And Midwives Per 1000 People | Africa (Our World in Data)

🌍 596 observations · 54 Africa countries · 1990–2023 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 596 observations of Nurses And Midwives Per 1000 People data across 54 Africa countries, spanning 1990–2023.

About the source

• Source: Our World in Data
• Publisher: Our World in Data
• License: cc-by-4.0
• Topic: Nurses And Midwives Per 1000 People

Geographic coverage

54 Africa countries · top rows shown below, sorted by row count:

Country	Rows	First year	Last year
ZAF	24	1998	2022
MOZ	24	1999	2022
BWA	22	1998	2023
TCD	18	1997	2023
CPV	16	2004	2023
BFA	16	2004	2023
KEN	16	2004	2023
MUS	16	2003	2022
GMB	15	2003	2023
CIV	15	2004	2023
GHA	14	2004	2023
NGA	14	2003	2022
SYC	14	2004	2023
ZWE	14	1990	2022
MDG	14	2002	2022
...	39 more countries

Schema

Column	Type	Description	Example
country_name	string	—	Algeria
country_iso3	string	—	DZA
year	int64	—	2002
Nurses and midwives (per 1,000 people)	float64	—	2.197

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-nurses-and-midwives-per-1000-people")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

kenya = df[df["country_iso3"] == "KEN"]

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Nurses and midwives (per 1,000 people)")

Citation

@misc{africa_owid_nurses_and_midwives_per_1000_people_2023,
  title        = {Nurses And Midwives Per 1000 People | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/nurses-and-midwives-per-1000-people},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-nurses-and-midwives-per-1000-people}}
}

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 Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa 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/electricsheepafrica

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Provenance: ingested 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/nurses-and-midwives-per-1000-people