source_record_id stringclasses 8
values | country_iso3 stringclasses 1
value | country_name stringclasses 1
value | source_sheet stringclasses 1
value | cliniques stringclasses 8
values | d_453 int64 280 14.5k | source_provider stringclasses 1
value | source_dataset stringclasses 1
value | source_resource stringclasses 1
value | source_package_id stringclasses 1
value | source_resource_id stringclasses 1
value | source_url stringclasses 1
value | license_id stringclasses 1
value | retrieved_at stringdate 2026-07-16 21:31:48 2026-07-16 21:31:48 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
233f1d5b-2e3d-4d95-9fe5-4b0df1d715de:infrastructures-privees-2024:0 | MAR | Morocco | Infrastructures privées 2024 | Cabinet de chirurgie dentaire | 6,183 | MSPS | Infrastructures de santé du secteur privé | Infrastructures privées 2024.xlsx | a5853684-b12a-4108-acb1-4a5879cc91e1 | 233f1d5b-2e3d-4d95-9fe5-4b0df1d715de | https://data.gov.ma/data/fr/dataset/a5853684-b12a-4108-acb1-4a5879cc91e1/resource/233f1d5b-2e3d-4d95-9fe5-4b0df1d715de/download/infrastructures-privees-2024.xlsx | odc-odbl | 2026-07-16T21:31:48Z |
233f1d5b-2e3d-4d95-9fe5-4b0df1d715de:infrastructures-privees-2024:1 | MAR | Morocco | Infrastructures privées 2024 | Cabinets de consultation médicale | 14,524 | MSPS | Infrastructures de santé du secteur privé | Infrastructures privées 2024.xlsx | a5853684-b12a-4108-acb1-4a5879cc91e1 | 233f1d5b-2e3d-4d95-9fe5-4b0df1d715de | https://data.gov.ma/data/fr/dataset/a5853684-b12a-4108-acb1-4a5879cc91e1/resource/233f1d5b-2e3d-4d95-9fe5-4b0df1d715de/download/infrastructures-privees-2024.xlsx | odc-odbl | 2026-07-16T21:31:48Z |
233f1d5b-2e3d-4d95-9fe5-4b0df1d715de:infrastructures-privees-2024:2 | MAR | Morocco | Infrastructures privées 2024 | Cabinet de radiologie | 383 | MSPS | Infrastructures de santé du secteur privé | Infrastructures privées 2024.xlsx | a5853684-b12a-4108-acb1-4a5879cc91e1 | 233f1d5b-2e3d-4d95-9fe5-4b0df1d715de | https://data.gov.ma/data/fr/dataset/a5853684-b12a-4108-acb1-4a5879cc91e1/resource/233f1d5b-2e3d-4d95-9fe5-4b0df1d715de/download/infrastructures-privees-2024.xlsx | odc-odbl | 2026-07-16T21:31:48Z |
233f1d5b-2e3d-4d95-9fe5-4b0df1d715de:infrastructures-privees-2024:3 | MAR | Morocco | Infrastructures privées 2024 | Centre d'hémodialyse | 280 | MSPS | Infrastructures de santé du secteur privé | Infrastructures privées 2024.xlsx | a5853684-b12a-4108-acb1-4a5879cc91e1 | 233f1d5b-2e3d-4d95-9fe5-4b0df1d715de | https://data.gov.ma/data/fr/dataset/a5853684-b12a-4108-acb1-4a5879cc91e1/resource/233f1d5b-2e3d-4d95-9fe5-4b0df1d715de/download/infrastructures-privees-2024.xlsx | odc-odbl | 2026-07-16T21:31:48Z |
233f1d5b-2e3d-4d95-9fe5-4b0df1d715de:infrastructures-privees-2024:4 | MAR | Morocco | Infrastructures privées 2024 | Centre de kinésithérapie | 1,063 | MSPS | Infrastructures de santé du secteur privé | Infrastructures privées 2024.xlsx | a5853684-b12a-4108-acb1-4a5879cc91e1 | 233f1d5b-2e3d-4d95-9fe5-4b0df1d715de | https://data.gov.ma/data/fr/dataset/a5853684-b12a-4108-acb1-4a5879cc91e1/resource/233f1d5b-2e3d-4d95-9fe5-4b0df1d715de/download/infrastructures-privees-2024.xlsx | odc-odbl | 2026-07-16T21:31:48Z |
233f1d5b-2e3d-4d95-9fe5-4b0df1d715de:infrastructures-privees-2024:5 | MAR | Morocco | Infrastructures privées 2024 | Laboratoire d'analyses | 773 | MSPS | Infrastructures de santé du secteur privé | Infrastructures privées 2024.xlsx | a5853684-b12a-4108-acb1-4a5879cc91e1 | 233f1d5b-2e3d-4d95-9fe5-4b0df1d715de | https://data.gov.ma/data/fr/dataset/a5853684-b12a-4108-acb1-4a5879cc91e1/resource/233f1d5b-2e3d-4d95-9fe5-4b0df1d715de/download/infrastructures-privees-2024.xlsx | odc-odbl | 2026-07-16T21:31:48Z |
233f1d5b-2e3d-4d95-9fe5-4b0df1d715de:infrastructures-privees-2024:6 | MAR | Morocco | Infrastructures privées 2024 | Officines de pharmacie | 10,319 | MSPS | Infrastructures de santé du secteur privé | Infrastructures privées 2024.xlsx | a5853684-b12a-4108-acb1-4a5879cc91e1 | 233f1d5b-2e3d-4d95-9fe5-4b0df1d715de | https://data.gov.ma/data/fr/dataset/a5853684-b12a-4108-acb1-4a5879cc91e1/resource/233f1d5b-2e3d-4d95-9fe5-4b0df1d715de/download/infrastructures-privees-2024.xlsx | odc-odbl | 2026-07-16T21:31:48Z |
233f1d5b-2e3d-4d95-9fe5-4b0df1d715de:infrastructures-privees-2024:7 | MAR | Morocco | Infrastructures privées 2024 | Infirmeries | 669 | MSPS | Infrastructures de santé du secteur privé | Infrastructures privées 2024.xlsx | a5853684-b12a-4108-acb1-4a5879cc91e1 | 233f1d5b-2e3d-4d95-9fe5-4b0df1d715de | https://data.gov.ma/data/fr/dataset/a5853684-b12a-4108-acb1-4a5879cc91e1/resource/233f1d5b-2e3d-4d95-9fe5-4b0df1d715de/download/infrastructures-privees-2024.xlsx | odc-odbl | 2026-07-16T21:31:48Z |
Infrastructures de santé du secteur privé | Africa (Morocco official open data)
8 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from Morocco as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
- Source: Infrastructures de santé du secteur privé
- Publisher: MSPS
- Resource: Infrastructures privées 2024.xlsx
- Format:
XLSX - License: Open Data Commons Open Database License
- Packaging mode:
tabular_resource
Geographic coverage
1 Africa country:
| Country | Rows | First year | Last year | Name |
|---|---|---|---|---|
MAR |
8 | n/a | n/a | Morocco |
Indicators or Resource Contents
- This source file is packaged as a normalized tabular resource.
Schema
| Column | Type | Description | Example |
|---|---|---|---|
source_record_id |
string |
Stable row identifier for tabular resources. | 233f1d5b-2e3d-4d95-9fe5-4b0df1d715de:infrastructures-privees-2024:0 |
country_iso3 |
string |
ISO3 country code. | MAR |
country_name |
string |
Country name. | Morocco |
source_sheet |
string |
Workbook sheet name, when the source is a spreadsheet. | Infrastructures privées 2024 |
cliniques |
string |
Source column. | Cabinet de chirurgie dentaire |
d_453 |
int64 |
Source column. | 6183 |
source_provider |
string |
Publishing organization. | MSPS |
source_dataset |
string |
Source package title. | Infrastructures de santé du secteur privé |
source_resource |
string |
Source resource title. | Infrastructures privées 2024.xlsx |
source_package_id |
string |
CKAN package UUID. | a5853684-b12a-4108-acb1-4a5879cc91e1 |
source_resource_id |
string |
CKAN resource UUID. | 233f1d5b-2e3d-4d95-9fe5-4b0df1d715de |
source_url |
string |
Original source resource URL. | https://data.gov.ma/data/fr/dataset/a5853684-b12a-4108-acb1-4a5879cc91e1 |
license_id |
string |
Source license identifier. | odc-odbl |
retrieved_at |
string |
UTC retrieval timestamp. | 2026-07-16T21:31:48Z |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-morocco-infrastructures-de-sante-du-secteur-prive-f7efda66")
df = ds["train"].to_pandas()
print(df.head())
Filter to one country
sample_country = df[df["country_iso3"] == "MAR"]
Work with indicators
if "indicator_id" in df.columns:
print(df["indicator_id"].value_counts().head())
sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
Citation
@misc{electric_sheep_africa_africa_morocco_infrastructures_de_sante_du_secteur_prive_f7efda66_2026,
title = {Infrastructures de santé du secteur privé | Africa (Morocco official open data)},
author = {MSPS},
year = {2026},
url = {https://data.gov.ma/data/dataset/infrastructures-privees-2020},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-infrastructures-de-sante-du-secteur-prive-f7efda66}}
}
License
Released under Open Data Commons Open Database License.
Original data (c) MSPS. 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 Hugging Face. 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
Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.gov.ma/data/fr/dataset/a5853684-b12a-4108-acb1-4a5879cc91e1/resource/233f1d5b-2e3d-4d95-9fe5-4b0df1d715de/download/infrastructures-privees-2024.xlsx
- Downloads last month
- 27