electricsheepafrica/africa-world-bank-health-indicators-for-eswatini

---
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
- swz
pretty_name: "Eswatini - Health"
dataset_info:
splits:
- name: train
num_examples: 7333
- name: test
num_examples: 1833
---

# Eswatini - Health

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-health-indicators-for-eswatini) · **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-eswatini) 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: **SWZ**.

*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)** | 9,167 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 7,333 rows |
| **Test split** | 1,833 rows |
| **Geographic scope** | SWZ |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Eswatini), `country_iso3` (SWZ), `year` (range 1960.0–2025.0).

**Outcome / Measurement** — `value` (range -48259.0–1242822.0).

**Identifier / Metadata** — `indicator_name` (Net migration, Population ages 40-44, male (% of male population), Population ages 20-24, male (% of male population)), `indicator_code` (SM.POP.NETM, SP.POP.4044.MA.5Y, SP.POP.2024.MA.5Y), `esa_source` (HDX), `esa_processed` (2026-04-10).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-health-indicators-for-eswatini")
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% | Eswatini |
| `country_iso3` | object | 0.0% | SWZ |
| `year` | int64 | 0.0% | 1960.0 – 2025.0 (mean 1998.5245) |
| `indicator_name` | object | 0.0% | Net migration, Population ages 40-44, male (% of male population), Population ages 20-24, male (% of male population) |
| `indicator_code` | object | 0.0% | SM.POP.NETM, SP.POP.4044.MA.5Y, SP.POP.2024.MA.5Y |
| `value` | float64 | 0.0% | -48259.0 – 1242822.0 (mean 23810.8745) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-10 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 1998.5245 | 2003.0 |
| `value` | -48259.0 | 1242822.0 | 23810.8745 | 32.5 |

---

## 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-eswatini) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_health_indicators_for_eswatini,
title = {Eswatini - Health},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-health-indicators-for-eswatini},
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:
- 无人工注释
language_creators:
- 现有语料采集
language:
- 英语
license: 知识共享署名4.0（CC BY 4.0）
multilinguality:
- 单语言
size_categories:
- 1000 < n < 10000
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，人道主义数据交换平台）
- Electric Sheep Africa（电羊非洲团队）
- 卫生健康
- 指标
- SWZ（斯威士兰ISO 3代码）
pretty_name: "斯威士兰——卫生健康"
dataset_info:
splits:
- name: train
num_examples: 7333
- name: test
num_examples: 1833

# 斯威士兰——卫生健康

**发布方：世界银行集团 · 数据源：[HDX（Humanitarian Data Exchange，人道主义数据交换平台）](https://data.humdata.org/dataset/world-bank-health-indicators-for-eswatini) · 许可协议：** `知识共享署名4.0` · **最后更新：** 2026-03-27

---

## 摘要

本数据集包含来自世界银行[数据门户](http://data.worldbank.org/)的公开数据。HDX平台上还提供了一份整合后的[斯威士兰综合指标数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-eswatini)。

改善卫生健康状况是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。为减少卫生健康不公平现象，多国均强调发展初级卫生保健，包括免疫接种、环境卫生、安全饮用水获取以及安全分娩相关举措。

本数据集涵盖卫生系统、疾病预防、生殖健康、营养与人口动态相关数据，来源包括联合国人口司、世界卫生组织、联合国儿童基金会、联合国艾滋病规划署及其他多个官方渠道。

数据集的每一行均代表国家层面的汇总统计数据，最后在HDX平台的更新时间为2026年3月27日，地理覆盖范围为**SWZ（斯威士兰）**。

*本数据集已由[Electric Sheep Africa（电羊非洲团队）](https://huggingface.co/electricsheepafrica)整理为适用于机器学习的Parquet格式文件。*

---

## 数据集特征

| | |
|---|---|
| **领域** | 公共卫生 |
| **观测单元** | 国家层面汇总数据 |
| **总数据行数** | 9167条 |
| **总列数** | 8列（2列为数值型，6列为分类型，0个日期时间型列） |
| **训练集划分** | 7333条数据 |
| **测试集划分** | 1833条数据 |
| **地理覆盖范围** | SWZ（斯威士兰） |
| **发布方** | 世界银行集团 |
| **HDX平台最后更新时间** | 2026年3月27日 |

---

## 变量说明

### 地理类变量
- `country_name`：国家名称（斯威士兰）
- `country_iso3`：国家ISO 3代码（SWZ）
- `year`：年份，取值范围为1960.0至2025.0

### 结果/测量类变量
- `value`：指标数值，取值范围为-48259.0至1242822.0

### 标识符/元数据类变量
- `indicator_name`：指标名称（如净移民、40-44岁男性人口占男性总人口比例、20-24岁男性人口占男性总人口比例等）
- `indicator_code`：指标代码（如SM.POP.NETM、SP.POP.4044.MA.5Y、SP.POP.2024.MA.5Y等）
- `esa_source`：数据来源（HDX）
- `esa_processed`：数据处理日期（2026-04-10）

---

## 快速入门
python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-health-indicators-for-eswatini")
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` | 字符型 | 0.0% | 斯威士兰 |
| `country_iso3` | 字符型 | 0.0% | SWZ |
| `year` | 64位整型 | 0.0% | 1960.0 – 2025.0（平均值1998.5245） |
| `indicator_name` | 字符型 | 0.0% | 净移民、40-44岁男性人口占比、20-24岁男性人口占比等 |
| `indicator_code` | 字符型 | 0.0% | SM.POP.NETM、SP.POP.4044.MA.5Y、SP.POP.2024.MA.5Y等 |
| `value` | 64位浮点型 | 0.0% | -48259.0 – 1242822.0（平均值23810.8745） |
| `esa_source` | 字符型 | 0.0% | HDX |
| `esa_processed` | 字符型 | 0.0% | 2026-04-10 |

---

## 数值型变量统计摘要
| 列名 | 最小值 | 最大值 | 平均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 1998.5245 | 2003.0 |
| `value` | -48259.0 | 1242822.0 | 23810.8745 | 32.5 |

---

## 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格式文件。列名统一转换为小写，并标准化为蛇形命名法（snake_case）。常见缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）均统一替换为`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，并以Snappy压缩格式的Parquet文件存储。

---

## 数据集局限性
1. 本数据集源自世界银行集团，尚未由电羊非洲团队（ESA）进行独立验证。
2. 自动化数据清洗无法修正原始数据集中的错报值、定义不一致或采样偏差问题。
3. 如需了解发布方的方法说明与注意事项，请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/world-bank-health-indicators-for-eswatini)。

---

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

---

*[Electric Sheep Africa（电羊非洲团队）](https://huggingface.co/electricsheepafrica) — 非洲机器学习数据集基础设施服务商，总部位于尼日利亚拉各斯。*