electricsheepafrica/africa-world-bank-health-indicators-for-guinea-bissau

---
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
- gnb
pretty_name: "Guinea-Bissau - Health"
dataset_info:
splits:
- name: train
num_examples: 7066
- name: test
num_examples: 1766
---

# Guinea-Bissau - Health

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

*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)** | 8,833 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 7,066 rows |
| **Test split** | 1,766 rows |
| **Geographic scope** | GNB |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Guinea-Bissau), `country_iso3` (GNB), `year` (range 1960.0–2025.0).

**Outcome / Measurement** — `value` (range -23936.0–2201352.0).

**Identifier / Metadata** — `indicator_name` (Net migration, Population ages 55-59, male (% of male population), Population ages 15-64, total), `indicator_code` (SM.POP.NETM, SP.POP.5559.MA.5Y, SP.POP.1564.TO), `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-guinea-bissau")
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% | Guinea-Bissau |
| `country_iso3` | object | 0.0% | GNB |
| `year` | int64 | 0.0% | 1960.0 – 2025.0 (mean 1999.712) |
| `indicator_name` | object | 0.0% | Net migration, Population ages 55-59, male (% of male population), Population ages 15-64, total |
| `indicator_code` | object | 0.0% | SM.POP.NETM, SP.POP.5559.MA.5Y, SP.POP.1564.TO |
| `value` | float64 | 0.0% | -23936.0 – 2201352.0 (mean 33833.7051) |
| `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 | 1999.712 | 2004.0 |
| `value` | -23936.0 | 2201352.0 | 33833.7051 | 23.4055 |

---

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

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_health_indicators_for_guinea_bissau,
title = {Guinea-Bissau - Health},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-health-indicators-for-guinea-bissau},
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.*

yaml
# 数据集元数据
注释创建者:
- 无注释
语言创建方式:
- 公开采集
语言:
- 英语
授权协议: CC-BY-4.0
多语言特性:
- 单语言
样本规模区间:
- 1000 < 样本数 < 10000
源数据集:
- 原创数据集
任务类别:
- 表格分类（tabular-classification）
任务子项: []
标签:
- 非洲
- 人道主义
- 人类数据交换平台（HDX，Humanitarian Data Exchange）
- Electric Sheep Africa
- 卫生健康
- 指标
- GNB（几内亚比绍ISO 3代码）
展示名称: "几内亚比绍 - 卫生健康"
数据集信息:
数据集划分:
- 名称: 训练集
样本数: 7066
- 名称: 测试集
样本数: 1766

# 几内亚比绍 - 卫生健康

**发布方：** 世界银行集团 · **来源：** [人类数据交换平台（HDX，Humanitarian Data Exchange）](https://data.humdata.org/dataset/world-bank-health-indicators-for-guinea-bissau) · **授权协议：** `cc-by` · **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。人类数据交换平台（HDX）上还发布有几内亚比绍的[整合型国家数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-guinea-bissau)。

改善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卫生服务的主要供给方。为缩小健康公平性差距，多国均着重推进基层医疗卫生服务建设，涵盖免疫接种、环境卫生保障、安全饮用水获取以及孕产妇安全保障计划等领域。本数据集涵盖卫生系统、疾病预防、生殖健康、营养状况以及人口动态等相关数据，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官方机构。

本数据集的每一行均代表国家层面的汇总统计数据。数据在HDX平台的最后更新时间为2026年3月27日。地理覆盖范围：**GNB（几内亚比绍ISO 3代码）**。

*本数据集已由[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** | 8833 |
| **列数** | 8（2个数值型列，6个分类型列，0个日期时间型列） |
| **训练集样本数** | 7066 |
| **测试集样本数** | 1766 |
| **地理覆盖范围** | GNB（几内亚比绍ISO 3代码） |
| **发布方** | 世界银行集团 |
| **HDX平台最后更新时间** | 2026-03-27 |

---

## 变量说明

### 地理类变量
`country_name`（国家名称：几内亚比绍）、`country_iso3`（国家ISO 3代码：GNB）、`year`（年份范围：1960.0–2025.0）。

### 结果/测量变量
`value`（数值范围：-23936.0–2201352.0）。

### 标识/元数据变量
`indicator_name`（指标名称：净移民、55-59岁男性人口占男性总人口比例、15-64岁总人口）、`indicator_code`（指标代码：SM.POP.NETM、SP.POP.5559.MA.5Y、SP.POP.1564.TO）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-10）。

---

## 快速上手
python
# 加载完整数据集
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-health-indicators-for-guinea-bissau")
# 将训练集、测试集转换为Pandas DataFrame格式
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

# 打印训练集维度
print(train.shape)
# 查看训练集前5条样本
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% | 几内亚比绍 |
| `country_iso3` | object | 0.0% | GNB |
| `year` | int64 | 0.0% | 1960.0 – 2025.0（均值：1999.712） |
| `indicator_name` | object | 0.0% | 净移民、55-59岁男性人口占男性总人口比例、15-64岁总人口 |
| `indicator_code` | object | 0.0% | SM.POP.NETM、SP.POP.5559.MA.5Y、SP.POP.1564.TO |
| `value` | float64 | 0.0% | -23936.0 – 2201352.0（均值：33833.7051） |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-10 |

---

## 数值统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 1999.712 | 2004.0 |
| `value` | -23936.0 | 2201352.0 | 33833.7051 | 23.4055 |

---

## 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。所有列名均转换为小写并标准化为蛇形命名法。常见的缺失值标记（如`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）均被统一替换为`NaN`。本数据集以固定随机种子（42）按80/20的比例划分为训练集与测试集，并以Snappy压缩格式保存为Parquet文件。

---

## 数据集局限性
1. 数据源自世界银行集团，Electric Sheep Africa未对其进行独立验证。
2. 自动化清洗流程无法修正原始数据采集阶段的错报、定义不一致或抽样偏差问题。
3. 请查阅[原始HDX数据集页面](https://data.humdata.org/dataset/world-bank-health-indicators-for-guinea-bissau)以获取发布方提供的方法学说明与相关注意事项。

---

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

> 注：上述引用格式中，标题已翻译为中文，备注内容也已适配中文语境。

---

*[Electric Sheep Africa（https://huggingface.co/electricsheepafrica）]——非洲地区机器学习数据集基础设施提供商，总部位于尼日利亚拉各斯。*