electricsheepafrica/africa-world-bank-health-indicators-for-central-african-republic

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- tabular-classification
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- health
- indicators
- caf
pretty_name: "Central African Republic - Health"
dataset_info:
splits:
- name: train
num_examples: 7317
- name: test
num_examples: 1829
---

# Central African Republic - Health

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-health-indicators-for-central-african-republic) · **License:** `cc-by` · **Updated:** 2026-03-27

---

## Abstract

Contains data from the World Bank's [data portal](http://data.worldbank.org/). There is also a [consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-central-african-republic) on HDX.

Improving health is central to the Millennium Development Goals, and the public sector is the main provider of health care in developing countries. To reduce inequities, many countries have emphasized primary health care, including immunization, sanitation, access to safe drinking water, and safe motherhood initiatives. Data here cover health systems, disease prevention, reproductive health, nutrition, and population dynamics. Data are from the United Nations Population Division, World Health Organization, United Nations Children's Fund, the Joint United Nations Programme on HIV/AIDS, and various other sources.

Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2026-03-27. Geographic scope: **CAF**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Public health |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 9,147 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 7,317 rows |
| **Test split** | 1,829 rows |
| **Geographic scope** | CAF |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Central African Republic), `country_iso3` (CAF), `year` (range 1960.0–2025.0).

**Outcome / Measurement** — `value` (range -174051.0–5330690.0).

**Identifier / Metadata** — `indicator_name` (Net migration, Population ages 35-39, female (% of female population), Population ages 30-34, male (% of male population)), `indicator_code` (SM.POP.NETM, SP.POP.3539.FE.5Y, SP.POP.3034.MA.5Y), `esa_source` (HDX), `esa_processed` (2026-04-16).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-health-indicators-for-central-african-republic")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `country_name` | object | 0.0% | Central African Republic |
| `country_iso3` | object | 0.0% | CAF |
| `year` | int64 | 0.0% | 1960.0 – 2025.0 (mean 1998.2281) |
| `indicator_name` | object | 0.0% | Net migration, Population ages 35-39, female (% of female population), Population ages 30-34, male (% of male population) |
| `indicator_code` | object | 0.0% | SM.POP.NETM, SP.POP.3539.FE.5Y, SP.POP.3034.MA.5Y |
| `value` | float64 | 0.0% | -174051.0 – 5330690.0 (mean 94890.5515) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-16 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 1998.2281 | 2002.0 |
| `value` | -174051.0 | 5330690.0 | 94890.5515 | 25.7 |

---

## 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`. 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 World Bank Group 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/world-bank-health-indicators-for-central-african-republic) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_health_indicators_for_central_african_republic,
title = {Central African Republic - Health},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-health-indicators-for-central-african-republic},
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.*

annotations_creators:
- 无标注
language_creators:
- 现有数据源采集
language:
- 英语
license: cc-by-4.0
multilinguality:
- 单语言
size_categories:
- 1千条<样本数<1万条
source_datasets:
- 原生数据集
task_categories:
- 表格分类
task_ids: []
tags:
- 非洲
- 人道主义
- HDX（Humanitarian Data Exchange，人道主义数据交换）
- electric-sheep-africa
- 卫生
- 指标
- CAF（Central African Republic，中非共和国）
pretty_name: "中非共和国——卫生"
dataset_info:
splits:
- name: train
num_examples: 7317
- name: test
num_examples: 1829

# 中非共和国——卫生

**发布方：世界银行集团 · 数据源：[HDX（Humanitarian Data Exchange，人道主义数据交换）](https://data.humdata.org/dataset/world-bank-health-indicators-for-central-african-republic) · 许可协议：`cc-by` · 最后更新时间：2026-03-27**

---

## 摘要
本数据集包含源自世界银行[数据门户](http://data.worldbank.org/)的相关数据。HDX平台上另有一份[中非共和国综合国家指标数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-central-african-republic)。

改善卫生状况是联合国千年发展目标的核心内容，公共部门是发展中国家医疗服务的主要供给方。为缩小卫生公平性差距，多国均将重点放在初级卫生保健领域，包括免疫接种、环境卫生、安全饮用水获取以及安全孕产相关举措。本数据集涵盖卫生系统、疾病预防、生殖健康、营养及人口动态等相关内容。数据源自联合国人口司、世界卫生组织、联合国儿童基金会、联合国艾滋病规划署以及其他多个来源。

本数据集的每一行均代表国家级汇总数据。该数据集最后一次在HDX平台更新的时间为2026-03-27。地理覆盖范围：**CAF（中非共和国）**。

本数据集已由[电羊非洲（Electric Sheep Africa）](https://huggingface.co/electricsheepafrica)整理为适配机器学习的Parquet格式。

---

## 数据集特征
| | |
|---|---|
| **领域** | 公共卫生 |
| **观测单元** | 国家级汇总数据 |
| **总行数** | 9147 |
| **列数** | 8列（2列数值型、6列分类型、0列日期时间型） |
| **训练集划分** | 7317行 |
| **测试集划分** | 1829行 |
| **地理覆盖范围** | CAF |
| **发布方** | 世界银行集团 |
| **HDX最后更新时间** | 2026-03-27 |

---

## 变量说明
**地理类变量** — `country_name`（中非共和国）、`country_iso3`（CAF）、`year`（取值范围1960.0–2025.0）。
**结果/测量变量** — `value`（取值范围-174051.0–5330690.0）。
**标识符/元数据变量** — `indicator_name`（净迁移率、35-39岁女性人口占女性总人口比例、30-34岁男性人口占男性总人口比例）、`indicator_code`（SM.POP.NETM、SP.POP.3539.FE.5Y、SP.POP.3034.MA.5Y）、`esa_source`（HDX）、`esa_processed`（2026-04-16）。

---

## 快速上手
python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-health-indicators-for-central-african-republic")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()

---

## 数据结构
| 列名 | 数据类型 | 空值占比 | 取值范围/示例值 |
|---|---|---|---|
| `country_name` | `object` | 0.0% | 中非共和国 |
| `country_iso3` | `object` | 0.0% | CAF |
| `year` | `int64` | 0.0% | 1960.0 – 2025.0（均值1998.2281） |
| `indicator_name` | `object` | 0.0% | 净迁移率、35-39岁女性人口占女性总人口比例、30-34岁男性人口占男性总人口比例 |
| `indicator_code` | `object` | 0.0% | SM.POP.NETM、SP.POP.3539.FE.5Y、SP.POP.3034.MA.5Y |
| `value` | `float64` | 0.0% | -174051.0 – 5330690.0（均值94890.5515） |
| `esa_source` | `object` | 0.0% | HDX |
| `esa_processed` | `object` | 0.0% | 2026-04-16 |

---

## 数值型变量统计摘要
| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 1998.2281 | 2002.0 |
| `value` | -174051.0 | 5330690.0 | 94890.5515 | 25.7 |

---

## 数据整理流程
原始数据通过CKAN API从HDX平台下载，并转换为Parquet格式。列名均转为小写并标准化为蛇形命名法（snake_case）。将常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。本数据集以固定随机种子（42）按照80/20的比例划分为训练集与测试集，并保存为Snappy压缩格式的Parquet文件。

---

## 局限性说明
- 本数据集源自世界银行集团，未经过电羊非洲的独立验证。
- 自动化清洗流程无法修正原始数据收集过程中存在的错报值、定义不一致或抽样偏差问题。
- 如需查看发布方提供的方法学说明与免责声明，请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/world-bank-health-indicators-for-central-african-republic)。

---

## 引用格式
bibtex
@dataset{hdx_africa_world_bank_health_indicators_for_central_african_republic,
title = {Central African Republic - Health},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-health-indicators-for-central-african-republic},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

*[电羊非洲（Electric Sheep Africa）](https://huggingface.co/electricsheepafrica) — 非洲的机器学习数据集基础设施。尼日利亚拉各斯。*