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

---
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
- bwa
pretty_name: "Botswana - Health"
dataset_info:
splits:
- name: train
num_examples: 6628
- name: test
num_examples: 1657
---

# Botswana - Health

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

*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)** | 8,286 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 6,628 rows |
| **Test split** | 1,657 rows |
| **Geographic scope** | BWA |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Botswana), `country_iso3` (BWA), `year` (range 1960.0–2025.0).

**Outcome / Measurement** — `value` (range -16054.0–2521139.0).

**Identifier / Metadata** — `indicator_name` (Net migration, Population, total, Population ages 40-44, male (% of male population)), `indicator_code` (SM.POP.NETM, SP.POP.TOTL, SP.POP.4044.MA.5Y), `esa_source` (HDX), `esa_processed` (2026-04-15).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-health-indicators-for-botswana")
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% | Botswana |
| `country_iso3` | object | 0.0% | BWA |
| `year` | int64 | 0.0% | 1960.0 – 2025.0 (mean 1997.1441) |
| `indicator_name` | object | 0.0% | Net migration, Population, total, Population ages 40-44, male (% of male population) |
| `indicator_code` | object | 0.0% | SM.POP.NETM, SP.POP.TOTL, SP.POP.4044.MA.5Y |
| `value` | float64 | 0.0% | -16054.0 – 2521139.0 (mean 44405.3003) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-15 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 1997.1441 | 2001.0 |
| `value` | -16054.0 | 2521139.0 | 44405.3003 | 33.1949 |

---

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

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_health_indicators_for_botswana,
title = {Botswana - Health},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-health-indicators-for-botswana},
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:
- 无注释
language_creators:
- 现有获取
language:
- 英语
license: CC-BY-4.0
multilinguality:
- 单语言
size_categories:
- 1000 < 样本数 < 10000
source_datasets:
- 原创数据集
task_categories:
- 表格分类
task_ids: []
tags:
- 非洲
- 人道主义
- HDX
- electric-sheep-africa
- 健康
- 指标
- 博茨瓦纳
pretty_name: "博茨瓦纳——健康"
dataset_info:
splits:
- name: train
num_examples: 6628
- name: test
num_examples: 1657

# 博茨瓦纳——健康

**发布方：** 世界银行集团 · **来源：** [HDX](https://data.humdata.org/dataset/world-bank-health-indicators-for-botswana) · **许可证：** `CC-BY` · **更新时间：** 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/)的相关数据。HDX平台上另有一份[整合型国家数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-botswana)可供获取。

改善健康状况是千年发展目标的核心议题，公共部门是发展中国家医疗服务的主要供给方。为缩小健康公平差距，诸多国家均着重推进初级医疗保健工作，包括免疫接种、环境卫生保障、安全饮用水获取以及安全分娩相关举措。本数据集涵盖医疗系统、疾病预防、生殖健康、营养与人口动态等领域的数据，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以及其他多个机构。

本数据集的每一行均代表国家层面的汇总统计数据。本数据集在HDX平台的最后更新时间为2026年3月27日。地理覆盖范围：**BWA（博茨瓦纳）**。

本数据集由[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** | 国家层面汇总数据 |
| **总样本行数** | 8286 |
| **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** | 6628条样本 |
| **测试集划分** | 1657条样本 |
| **地理覆盖范围** | BWA |
| **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`（国家名称：博茨瓦纳）、`country_iso3`（国家ISO3代码：BWA）、`year`（年份：取值范围1960.0–2025.0）。

**结果/测量类变量** — `value`（指标数值：取值范围-16054.0–2521139.0）。

**标识符/元数据类变量** — `indicator_name`（指标名称：净移民、总人口、40-44岁男性人口占男性总人口比例等）、`indicator_code`（指标代码：SM.POP.NETM、SP.POP.TOTL、SP.POP.4044.MA.5Y）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-15）。

---

## 快速使用示例

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-health-indicators-for-botswana")
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% | 博茨瓦纳 |
| `country_iso3` | 字符型 | 0.0% | BWA |
| `year` | 64位整型 | 0.0% | 1960.0 – 2025.0（均值：1997.1441） |
| `indicator_name` | 字符型 | 0.0% | 净移民、总人口、40-44岁男性人口占男性总人口比例等 |
| `indicator_code` | 字符型 | 0.0% | SM.POP.NETM、SP.POP.TOTL、SP.POP.4044.MA.5Y |
| `value` | 64位浮点型 | 0.0% | -16054.0 – 2521139.0（均值：44405.3003） |
| `esa_source` | 字符型 | 0.0% | HDX |
| `esa_processed` | 字符型 | 0.0% | 2026-04-15 |

---

## 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 | 1997.1441 | 2001.0 |
| `value` | -16054.0 | 2521139.0 | 44405.3003 | 33.1949 |

---

## 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。列名统一转换为小写并采用蛇形命名法（snake_case）进行标准化。将常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。本数据集采用固定随机种子（42）按照80/20的比例划分为训练集与测试集，并以Snappy压缩格式存储为Parquet文件。

---

## 数据集局限性

- 本数据集源自世界银行集团，并未经过Electric Sheep Africa的独立验证。
- 自动化清洗流程无法修正原始数据收集阶段的错报值、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-botswana)。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_health_indicators_for_botswana,
title = {博茨瓦纳——健康},
author = {世界银行集团},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-health-indicators-for-botswana},
note = {由Electric Sheep Africa（https://huggingface.co/electricsheepafrica）重新打包适配机器学习需求}
}

---

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