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

---
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
- hxl
- indicators
- som
pretty_name: "Somalia - Health"
dataset_info:
splits:
- name: train
num_examples: 5760
- name: test
num_examples: 1440
---

# Somalia - Health

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-health-indicators-for-somalia) · **License:** `cc-by` · **Updated:** 2025-08-28

---

## 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-somalia) 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 2025-08-28. Geographic scope: **SOM**.

*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)** | 7,201 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 5,760 rows |
| **Test split** | 1,440 rows |
| **Geographic scope** | SOM |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2025-08-28 |

---

## Variables

**Geographic** — `country_name` (Somalia, #country+name), `country_iso3` (SOM, #country+code), `year` (range 1960.0–2024.0).

**Outcome / Measurement** — `value` (range -568166.0–19009151.0).

**Identifier / Metadata** — `indicator_name` (Population ages 60-64, male (% of male population), Population ages 35-39, female (% of female population), Population ages 40-44, female (% of female population)), `indicator_code` (SP.POP.6064.MA.5Y, SP.POP.3539.FE.5Y, SP.POP.4044.FE.5Y), `esa_source` (HDX), `esa_processed` (2026-04-08).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-health-indicators-for-somalia")
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% | Somalia, #country+name |
| `country_iso3` | object | 0.0% | SOM, #country+code |
| `year` | float64 | 0.0% | 1960.0 – 2024.0 (mean 1997.1417) |
| `indicator_name` | object | 0.0% | Population ages 60-64, male (% of male population), Population ages 35-39, female (% of female population), Population ages 40-44, female (% of female population) |
| `indicator_code` | object | 0.0% | SP.POP.6064.MA.5Y, SP.POP.3539.FE.5Y, SP.POP.4044.FE.5Y |
| `value` | float64 | 0.0% | -568166.0 – 19009151.0 (mean 305535.4166) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-08 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 1997.1417 | 2001.0 |
| `value` | -568166.0 | 19009151.0 | 305535.4166 | 24.9727 |

---

## 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`. 2 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 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-somalia) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_health_indicators_for_somalia,
title = {Somalia - Health},
author = {World Bank Group},
year = {2025},
url = {https://data.humdata.org/dataset/world-bank-health-indicators-for-somalia},
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:
- 采集自现有公开资源
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:
- 原创数据集
task_categories:
- 表格分类
task_ids: []
tags:
- 非洲
- 人道主义
- HDX（Humanitarian Data Exchange）
- 非洲电羊（Electric Sheep Africa）
- 卫生健康
- HXL
- 指标
- SOM
pretty_name: "索马里——卫生健康数据集"
dataset_info:
splits:
- name: train
num_examples: 5760
- name: test
num_examples: 1440

# 索马里——卫生健康数据集

**发布方：** 世界银行集团 · **数据来源：** [HDX（Humanitarian Data Exchange）](https://data.humdata.org/dataset/world-bank-health-indicators-for-somalia) · **许可证：** `知识共享署名（CC BY）` · **最后更新时间：** 2025-08-28

---

## 数据集摘要

本数据集包含来自世界银行[官方数据门户](http://data.worldbank.org/)的相关数据，HDX平台同时提供一份整合后的索马里全国综合指标数据集。

改善卫生健康状况是千年发展目标的核心内容，发展中国家的医疗卫生服务主要由公共部门提供。为减少卫生健康服务的不公平性，多国均将初级卫生保健作为工作重点，涵盖免疫接种、环境卫生、安全饮用水获取以及孕产妇安全保障相关举措。本数据集覆盖卫生系统、疾病预防、生殖健康、营养与人口动态等多类数据，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及其他各类公开数据源。

本数据集的每一行均代表索马里国家级别的汇总统计值。数据在HDX平台的最后更新时间为2025-08-28，地理覆盖范围：**SOM（索马里）**。

*本数据集已由[非洲电羊（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

| | |
|---|---|
| **应用领域** | 公共卫生 |
| **观测单元** | 国家级汇总统计数据 |
| **总数据行数** | 7201 |
| **字段数量** | 8个（2个数值型、6个分类型、0个日期时间型） |
| **训练集规模** | 5760条 |
| **测试集规模** | 1440条 |
| **地理覆盖范围** | SOM（索马里） |
| **发布方** | 世界银行集团 |
| **HDX平台最后更新时间** | 2025-08-28 |

---

## 字段说明

**地理类字段**：`country_name`（索马里，#country+name）、`country_iso3`（SOM，#country+code）、`year`（取值范围1960.0–2024.0）。

**结果/测量类字段**：`value`（取值范围-568166.0–19009151.0）。

**标识符/元数据类字段**：`indicator_name`（60-64岁男性人口占男性总人口比例、35-39岁女性人口占女性总人口比例、40-44岁女性人口占女性总人口比例）、`indicator_code`（SP.POP.6064.MA.5Y、SP.POP.3539.FE.5Y、SP.POP.4044.FE.5Y）、`esa_source`（HDX）、`esa_processed`（2026-04-08）。

---

## 快速上手

python
from datasets import load_dataset

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

print(train.shape)
train.head()

---

## 数据结构

| 字段名 | 数据类型 | 空值占比 | 取值范围/示例值 |
|---|---|---|---|
| `country_name` | object | 0.0% | 索马里，#country+name |
| `country_iso3` | object | 0.0% | SOM，#country+code |
| `year` | float64 | 0.0% | 1960.0 – 2024.0（均值1997.1417） |
| `indicator_name` | object | 0.0% | 60-64岁男性人口占男性总人口比例、35-39岁女性人口占女性总人口比例、40-44岁女性人口占女性总人口比例 |
| `indicator_code` | object | 0.0% | SP.POP.6064.MA.5Y、SP.POP.3539.FE.5Y、SP.POP.4044.FE.5Y |
| `value` | float64 | 0.0% | -568166.0 – 19009151.0（均值305535.4166） |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-08 |

---

## 数值型字段统计摘要

| 字段名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 1997.1417 | 2001.0 |
| `value` | -568166.0 | 19009151.0 | 305535.4166 | 24.9727 |

---

## 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。所有字段名均转换为小写，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`。根据解析成功率（阈值>85%），将2个字段从字符串类型转换为数值型或日期时间型。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压缩的Parquet格式存储。

---

## 数据集局限性

- 数据源自世界银行集团，尚未由非洲电羊（ESA）进行独立验证。
- 自动化数据清洗流程无法修正原始数据收集中的错报值、定义不一致性或抽样偏差问题。
- 如需了解发布方提供的方法说明与注意事项，请参阅[HDX平台原始数据集页面](https://data.humdata.org/dataset/world-bank-health-indicators-for-somalia)。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_health_indicators_for_somalia,
title = {Somalia - Health},
author = {World Bank Group},
year = {2025},
url = {https://data.humdata.org/dataset/world-bank-health-indicators-for-somalia},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

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