electricsheepafrica/africa-disability-mozambique

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- tabular-classification
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- disability
- disease
- environment
- health
- indicators
- malaria
- maternity
- mental-health
- moz
pretty_name: "Mozambique - Health Indicators"
dataset_info:
splits:
- name: train
num_examples: 18357
- name: test
num_examples: 4589
---

# Mozambique - Health Indicators

**Publisher:** World Health Organization · **Source:** [HDX](https://data.humdata.org/dataset/who-data-for-moz) · **License:** `hdx-other` · **Updated:** 2026-04-15

---

## Abstract

This dataset contains data from WHO's [data portal](https://www.who.int/gho/en/) covering the following categories:

Air pollution, Child mortality, Dementia diagnosis, treatment and care, Environment and health, Food safety, Global Dementia Observatory (GDO), Global Health Estimates: Life expectancy and leading causes of death and disability, Global Information System on Alcohol and Health, Global Patient Safety Observatory, HIV, Health financing, Health systems, Health taxes, Health workforce, Hepatitis, Immunization coverage and vaccine-preventable diseases, Malaria, Maternal and reproductive health, Mental health, Neglected tropical diseases, Noncommunicable diseases, Nutrition, Oral Health, Priority health technologies, Resources for Substance Use Disorders, Road Safety, Sexually Transmitted Infections, Substance use disorders service coverage, Tobacco control, Tuberculosis, Universal health coverage (UHC), SDG Target 3.8, Vaccine-preventable communicable diseases, Violence prevention, Water, sanitation and hygiene (WASH), World Health Statistics.

For links to individual indicator metadata, see resource descriptions.

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-04-15. Geographic scope: **MOZ**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Food security and nutrition |
| **Unit of observation** | First-level administrative unit observations |
| **Rows (total)** | 22,947 |
| **Columns** | 19 (6 numeric, 13 categorical, 0 datetime) |
| **Train split** | 18,357 rows |
| **Test split** | 4,589 rows |
| **Geographic scope** | MOZ |
| **Publisher** | World Health Organization |
| **HDX last updated** | 2026-04-15 |

---

## Variables

**Geographic** — `gho_display` (Number of deaths in children aged <5 years, by cause, Distribution of causes of death among children aged < 5 years (%), Deaths per 1 000 live births), `year_display` (range 1961.0–2030.0), `startyear` (range 1961.0–2030.0), `endyear` (range 1961.0–2030.0), `region_code` (AFR) and 4 others.

**Outcome / Measurement** — `value`.

**Identifier / Metadata** — `gho_code` (MORT_100, MORT_300, MORT_200), `dimension_code` (SEX_BTSX, SEX_FMLE, SEX_MLE), `dimension_name` (Both sexes, Female, Male), `esa_source`, `esa_processed`.

**Other** — `gho_url` (https://www.who.int/data/gho/data/indicators/indicator-details/GHO/number-of-deaths, https://www.who.int/data/gho/data/indicators/indicator-details/GHO/deaths-per-1-000-live-births, https://www.who.int/data/gho/data/indicators/indicator-details/GHO/distribution-of-causes-of-death-among-children-aged-5-years-%28-%29), `numeric` (range -0.0115–3663820187.32), `low` (range -0.0978–2300000.0), `high` (range 0.0–2700000.0).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-disability-mozambique")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `gho_code` | object | 0.0% | MORT_100, MORT_300, MORT_200 |
| `gho_display` | object | 0.0% | Number of deaths in children aged <5 years, by cause, Distribution of causes of death among children aged < 5 years (%), Deaths per 1 000 live births |
| `gho_url` | object | 0.0% | https://www.who.int/data/gho/data/indicators/indicator-details/GHO/number-of-deaths, https://www.who.int/data/gho/data/indicators/indicator-details/GHO/deaths-per-1-000-live-births, https://www.who.int/data/gho/data/indicators/indicator-details/GHO/distribution-of-causes-of-death-among-children-aged-5-years-%28-%29 |
| `year_display` | int64 | 0.0% | 1961.0 – 2030.0 (mean 2009.525) |
| `startyear` | int64 | 0.0% | 1961.0 – 2030.0 (mean 2009.5213) |
| `endyear` | int64 | 0.0% | 1961.0 – 2030.0 (mean 2009.525) |
| `region_code` | object | 0.0% | AFR |
| `region_display` | object | 0.0% | Africa |
| `country_code` | object | 0.0% | MOZ |
| `country_display` | object | 0.0% | Mozambique |
| `dimension_type` | object | 10.9% | SEX, RESIDENCEAREATYPE, AGEGROUP |
| `dimension_code` | object | 10.9% | SEX_BTSX, SEX_FMLE, SEX_MLE |
| `dimension_name` | object | 11.1% | Both sexes, Female, Male |
| `numeric` | float64 | 9.5% | -0.0115 – 3663820187.32 (mean 697426.5902) |
| `value` | object | 0.1% | |
| `low` | float64 | 34.7% | -0.0978 – 2300000.0 (mean 11757.1778) |
| `high` | float64 | 34.7% | 0.0 – 2700000.0 (mean 17428.0486) |
| `esa_source` | object | 0.0% | |
| `esa_processed` | object | 0.0% | |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year_display` | 1961.0 | 2030.0 | 2009.525 | 2011.0 |
| `startyear` | 1961.0 | 2030.0 | 2009.5213 | 2011.0 |
| `endyear` | 1961.0 | 2030.0 | 2009.525 | 2011.0 |
| `numeric` | -0.0115 | 3663820187.32 | 697426.5902 | 16.142 |
| `low` | -0.0978 | 2300000.0 | 11757.1778 | 12.1563 |
| `high` | 0.0 | 2700000.0 | 17428.0486 | 20.8 |

---

## 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`. 627 exact duplicate rows were removed. 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 Health Organization and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- The following columns have >20% missing values and should be treated with caution in modelling: `low`, `high`.
- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/who-data-for-moz) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_disability_mozambique,
title = {Mozambique - Health Indicators},
author = {World Health Organization},
year = {2026},
url = {https://data.humdata.org/dataset/who-data-for-moz},
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:
- 公开获取
language:
- 英语
license:
- 其他
multilinguality:
- 单语言
size_categories:
- 10K<n<100K
source_datasets:
- 原创
task_categories:
- 表格分类
task_ids: []
tags:
- 非洲
- 人道主义
- HDX
- Electric Sheep Africa
- 残疾
- 疾病
- 环境
- 健康
- 指标
- 疟疾
- 孕产
- 心理健康
- 莫桑比克（MOZ）
pretty_name: "莫桑比克——健康指标"
dataset_info:
splits:
- name: train
num_examples: 18357
- name: test
num_examples: 4589

# 莫桑比克——健康指标

**发布方：世界卫生组织 · 来源：[HDX](https://data.humdata.org/dataset/who-data-for-moz) · 许可：`hdx-other` · 更新时间：2026-04-15**

---

## 摘要

本数据集包含来自世界卫生组织（WHO）[数据门户](https://www.who.int/gho/en/)的数据，涵盖以下类别：

空气污染、儿童死亡率、痴呆的诊断、治疗与照护、环境与健康、食品安全、全球痴呆观测站（Global Dementia Observatory, GDO）、全球健康估算：预期寿命及主要死亡与致残原因、全球酒精与健康信息系统、全球患者安全观测站、艾滋病病毒（HIV）、卫生筹资、卫生系统、卫生税收、卫生人力、肝炎、免疫接种覆盖率与疫苗可预防疾病、疟疾、孕产妇与生殖健康、心理健康、被忽视的热带病、非传染性疾病、营养、口腔健康、优先卫生技术、物质使用障碍相关资源、道路安全、性传播感染、物质使用障碍服务覆盖率、烟草控制、结核病、全民健康覆盖（Universal Health Coverage, UHC）、可持续发展目标3.8（SDG Target 3.8）、疫苗可预防传染病、暴力预防、水、环境卫生与个人卫生（Water, Sanitation and Hygiene, WASH）、世界卫生统计。

如需查阅各指标元数据的链接，请参阅资源描述。

本数据集的每一行均代表一级行政单元的观测数据。数据最后一次在HDX平台更新的时间为2026-04-15，地理覆盖范围：**莫桑比克（MOZ）**。

*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** | 粮食安全与营养 |
| **观测单元** | 一级行政单元观测数据 |
| **总样本行数** | 22,947 |
| **列数** | 19（6个数值型列，13个分类型列，0个日期型列） |
| **训练集划分** | 18,357行 |
| **测试集划分** | 4,589行 |
| **地理覆盖范围** | 莫桑比克（MOZ） |
| **发布方** | 世界卫生组织 |
| **HDX最后更新时间** | 2026-04-15 |

---

## 变量分类

### 地理类变量
`gho_display`（按死因划分的<5岁儿童死亡数、<5岁儿童死因分布（百分比）、每1000活产儿死亡数）、`year_display`（取值范围：1961.0–2030.0）、`startyear`（取值范围：1961.0–2030.0）、`endyear`（取值范围：1961.0–2030.0）、`region_code`（AFR）及其他4个字段。

### 结果/测量类变量
`value`。

### 标识符/元数据类变量
`gho_code`（MORT_100、MORT_300、MORT_200）、`dimension_code`（SEX_BTSX、SEX_FMLE、SEX_MLE）、`dimension_name`（男女合计、女性、男性）、`esa_source`、`esa_processed`。

### 其他变量
`gho_url`（https://www.who.int/data/gho/data/indicators/indicator-details/GHO/number-of-deaths、https://www.who.int/data/gho/data/indicators/indicator-details/GHO/deaths-per-1-000-live-births、https://www.who.int/data/gho/data/indicators/indicator-details/GHO/distribution-of-causes-of-death-among-children-aged-5-years-%28-%29）、`numeric`（取值范围：-0.0115–3663820187.32）、`low`（取值范围：-0.0978–2300000.0）、`high`（取值范围：0.0–2700000.0）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-disability-mozambique")
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 |
|---|---|---|---|
| `gho_code` | object | 0.0% | MORT_100, MORT_300, MORT_200 |
| `gho_display` | object | 0.0% | 按死因划分的<5岁儿童死亡数、<5岁儿童死因分布（百分比）、每1000活产儿死亡数 |
| `gho_url` | object | 0.0% | https://www.who.int/data/gho/data/indicators/indicator-details/GHO/number-of-deaths、https://www.who.int/data/gho/data/indicators/indicator-details/GHO/deaths-per-1-000-live-births、https://www.who.int/data/gho/data/indicators/indicator-details/GHO/distribution-of-causes-of-death-among-children-aged-5-years-%28-%29 |
| `year_display` | int64 | 0.0% | 1961.0 – 2030.0（均值：2009.525） |
| `startyear` | int64 | 0.0% | 1961.0 – 2030.0（均值：2009.5213） |
| `endyear` | int64 | 0.0% | 1961.0 – 2030.0（均值：2009.525） |
| `region_code` | object | 0.0% | AFR |
| `region_display` | object | 0.0% | 非洲 |
| `country_code` | object | 0.0% | MOZ |
| `country_display` | object | 0.0% | 莫桑比克 |
| `dimension_type` | object | 10.9% | SEX、RESIDENCEAREATYPE、AGEGROUP |
| `dimension_code` | object | 10.9% | SEX_BTSX、SEX_FMLE、SEX_MLE |
| `dimension_name` | object | 11.1% | 男女合计、女性、男性 |
| `numeric` | float64 | 9.5% | -0.0115 – 3663820187.32（均值：697426.5902） |
| `value` | object | 0.1% | |
| `low` | float64 | 34.7% | -0.0978 – 2300000.0（均值：11757.1778） |
| `high` | float64 | 34.7% | 0.0 – 2700000.0（均值：17428.0486） |
| `esa_source` | object | 0.0% | |
| `esa_processed` | object | 0.0% | |

---

## 数值型变量统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year_display` | 1961.0 | 2030.0 | 2009.525 | 2011.0 |
| `startyear` | 1961.0 | 2030.0 | 2009.5213 | 2011.0 |
| `endyear` | 1961.0 | 2030.0 | 2009.525 | 2011.0 |
| `numeric` | -0.0115 | 3663820187.32 | 697426.5902 | 16.142 |
| `low` | -0.0978 | 2300000.0 | 11757.1778 | 12.1563 |
| `high` | 0.0 | 2700000.0 | 17428.0486 | 20.8 |

---

## 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。将所有列名统一转换为小写，并标准化为蛇形命名法。将常见缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。删除了627条完全重复的样本行。使用固定随机种子（42）将数据集按80/20的比例划分为训练集与测试集，并保存为Snappy压缩的Parquet格式。

---

## 数据集局限性

- 数据源自世界卫生组织，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中的错报值、定义不一致或抽样偏差问题。
- 以下列的缺失值占比超过20%，在建模时需谨慎使用：`low`、`high`。
- 请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/who-data-for-moz)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_disability_mozambique,
title = {莫桑比克——健康指标},
author = {世界卫生组织},
year = {2026},
url = {https://data.humdata.org/dataset/who-data-for-moz},
note = {由Electric Sheep Africa（https://huggingface.co/electricsheepafrica）重新打包以适配机器学习场景}
}

---

*[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。*