electricsheepafrica/africa-health-facilities-2012

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: other
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- tabular-classification
- other
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- geodata
- health
- health-facilities
- civ
pretty_name: "Côte d'Ivoire Health facilities 2012"
dataset_info:
splits:
- name: train
num_examples: 1546
- name: test
num_examples: 386
---

# Côte d'Ivoire Health facilities 2012

**Publisher:** OCHA West and Central Africa (ROWCA) · **Source:** [HDX](https://data.humdata.org/dataset/health-facilities-2012) · **License:** `other-pd-nr` · **Updated:** 2021-09-23

---

## Abstract

List of Health facilities in Côte d'Ivoire provided by the Ministry of Health, DIPE (Direction de l'Information, de la Planification et de l'Evaluation)

Each row in this dataset represents individual-level records. Data was last updated on HDX on 2021-09-23. Geographic scope: **CIV**.

*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Public health |
| **Unit of observation** | Individual-level records |
| **Rows (total)** | 1,933 |
| **Columns** | 26 (3 numeric, 23 categorical, 0 datetime) |
| **Train split** | 1,546 rows |
| **Test split** | 386 rows |
| **Geographic scope** | CIV |
| **Publisher** | OCHA West and Central Africa (ROWCA) |
| **HDX last updated** | 2021-09-23 |

---

## Variables

**Geographic** — `pays` (COTE D'VOIRE), `code_pays` (CIV), `region_san` (PORO-TCHOLOGO-BAGOUE, BOUKANI-GONTOUGO, AGNEBY-TIASSA-ME), `code_region` (SAV, ZAN, AGN), `district_s` (GAGNOA, KORHOGO, BONDOUKOU) and 3 others.

**Temporal** — `date_ouver`, `date_ouv_1`.

**Identifier / Metadata** — `code_distr` (BON, BOU, GAG), `code_epid` (CIV-FRO-GAG-12, CIV-SAV-KOR-12, CIV-ZAN-BON-12), `code_etabl` (range 19.0–8840.0), `esa_source`, `esa_processed`.

**Other** — `directeur` (KARAMOKO Fofana Ibrahima, N'GUESSAN Yao, KONAN Ahou), `matricule` (232.476-X, 147.096R, 160.056-H), `directeur1` (BOUKALO Kouassi Célestin, GOKOU Oboho Sébastien, TOA Bi Laurent), `matricule1`, `localite` and 6 others.

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-health-facilities-2012")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()
```

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `pays` | object | 0.0% | COTE D'VOIRE |
| `code_pays` | object | 0.0% | CIV |
| `region_san` | object | 0.0% | PORO-TCHOLOGO-BAGOUE, BOUKANI-GONTOUGO, AGNEBY-TIASSA-ME |
| `code_region` | object | 0.0% | SAV, ZAN, AGN |
| `directeur` | object | 0.0% | KARAMOKO Fofana Ibrahima, N'GUESSAN Yao, KONAN Ahou |
| `matricule` | object | 0.0% | 232.476-X, 147.096R, 160.056-H |
| `district_s` | object | 0.0% | GAGNOA, KORHOGO, BONDOUKOU |
| `code_distr` | object | 0.0% | BON, BOU, GAG |
| `code_epid` | object | 0.0% | CIV-FRO-GAG-12, CIV-SAV-KOR-12, CIV-ZAN-BON-12 |
| `directeur1` | object | 0.0% | BOUKALO Kouassi Célestin, GOKOU Oboho Sébastien, TOA Bi Laurent |
| `matricule1` | object | 0.0% | |
| `localite` | object | 0.0% | |
| `nom` | object | 0.0% | |
| `etablissem` | object | 0.0% | |
| `typologie` | object | 0.0% | |
| `nature` | object | 0.0% | |
| `code_etabl` | float64 | 5.3% | 19.0 – 8840.0 (mean 989.1956) |
| `fonct` | object | 0.0% | |
| `date_ouver` | object | 0.0% | |
| `date_ouv_1` | object | 0.0% | |
| `observatio` | object | 0.0% | |
| `statut` | object | 0.0% | |
| `latitude` | float64 | 0.0% | 4.3735 – 10.6213 (mean 6.9898) |
| `longitude` | float64 | 0.0% | -8.4996 – -2.5705 (mean -5.3253) |
| `esa_source` | object | 0.0% | |
| `esa_processed` | object | 0.0% | |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `code_etabl` | 19.0 | 8840.0 | 989.1956 | 923.5 |
| `latitude` | 4.3735 | 10.6213 | 6.9898 | 6.8865 |
| `longitude` | -8.4996 | -2.5705 | -5.3253 | -5.2769 |

---

## Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. 1 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

---

## Limitations

- Data originates from OCHA West and Central Africa (ROWCA) and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/health-facilities-2012) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_health_facilities_2012,
title = {Côte d'Ivoire Health facilities 2012},
author = {OCHA West and Central Africa (ROWCA)},
year = {2021},
url = {https://data.humdata.org/dataset/health-facilities-2012},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
```

---

*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*