electricsheepafrica/africa-world-bank-social-development-indicators-for-somalia

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- tabular-classification
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- development
- hxl
- indicators
- som
pretty_name: "Somalia - Social Development"
dataset_info:
splits:
- name: train
num_examples: 551
- name: test
num_examples: 137
---

# Somalia - Social Development

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-social-development-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.

Data here cover child labor, gender issues, refugees, and asylum seekers. Children in many countries work long hours, often combining studying with work for pay. The data on their paid work are from household surveys conducted by the International Labour Organization (ILO), the United Nations Children's Fund (UNICEF), the World Bank, and national statistical offices. Gender disparities are measured using a compilation of data on key topics such as education, health, labor force participation, and political participation. Data on refugees are from the United Nations High Commissioner for Refugees complemented by statistics on Palestinian refugees under the mandate of the United Nations Relief and Works Agency.

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)** | 689 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 551 rows |
| **Test split** | 137 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 0.1212–138.52).

**Identifier / Metadata** — `indicator_name` (Life expectancy at birth, male (years), Life expectancy at birth, female (years), Adolescent fertility rate (births per 1,000 women ages 15-19)), `indicator_code` (SP.DYN.LE00.MA.IN, SP.DYN.LE00.FE.IN, SP.ADO.TFRT), `esa_source` (HDX), `esa_processed` (2026-04-08).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-social-development-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 | 0.1% | 1960.0 – 2024.0 (mean 2000.8663) |
| `indicator_name` | object | 0.0% | Life expectancy at birth, male (years), Life expectancy at birth, female (years), Adolescent fertility rate (births per 1,000 women ages 15-19) |
| `indicator_code` | object | 0.0% | SP.DYN.LE00.MA.IN, SP.DYN.LE00.FE.IN, SP.ADO.TFRT |
| `value` | float64 | 0.1% | 0.1212 – 138.52 (mean 38.7218) |
| `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 | 2000.8663 | 2003.0 |
| `value` | 0.1212 | 138.52 | 38.7218 | 35.076 |

---

## 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-social-development-indicators-for-somalia) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_social_development_indicators_for_somalia,
title = {Somalia - Social Development},
author = {World Bank Group},
year = {2025},
url = {https://data.humdata.org/dataset/world-bank-social-development-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:
- 现有公开资源复用
language:
- 英语（en）
license: CC-BY-4.0
multilinguality:
- 单语言
size_categories:
- 样本量不足1000
source_datasets:
- 原始数据集
task_categories:
- 表格分类
task_ids: []
tags:
- 非洲
- 人道主义
- HDX（人道主义数据交换平台）
- electric-sheep-africa（电羊非洲）
- 发展
- HXL
- 指标
- SOM（索马里国家代码）
pretty_name: "索马里——社会发展"
dataset_info:
splits:
- name: train
num_examples: 551
- name: test
num_examples: 137

---

# 索马里——社会发展

**发布方：世界银行集团 · 来源：[HDX（人道主义数据交换平台）](https://data.humdata.org/dataset/world-bank-social-development-indicators-for-somalia) · 许可协议：`cc-by` · 最后更新：2025-08-28

---

## 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平台上还提供了一份[整合版国家数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-somalia)。

数据涵盖童工、性别平等、难民与寻求庇护者相关内容。全球多国儿童需长时间劳作，且常需兼顾学业与有偿工作。相关有偿劳动数据来自国际劳工组织（International Labour Organization, ILO）、联合国儿童基金会（United Nations Children's Fund, UNICEF）、世界银行及各国统计机构开展的家庭调查。性别不平等程度通过教育、健康、劳动力参与率、政治参与等核心议题的综合数据进行衡量。难民相关数据来自联合国难民署（United Nations High Commissioner for Refugees），并补充了由联合国近东巴勒斯坦难民救济和工程处管辖的巴勒斯坦难民统计数据。

本数据集每一行代表国家层面的汇总统计数据。该数据集最后一次在HDX平台更新的时间为2025-08-28。地理覆盖范围：**SOM（索马里）**。

*本数据集已由[电羊非洲（Electric Sheep Africa）](https://huggingface.co/electricsheepafrica)整理为适用于机器学习的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** | 689 |
| **列数** | 8列（2列数值型、6列分类型、0列日期时间型） |
| **训练集划分样本量** | 551行 |
| **测试集划分样本量** | 137行 |
| **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 |

---

## 变量列表

**地理类变量** — `country_name`（国家名称，#country+name）、`country_iso3`（ISO 3位国家代码，SOM，#country+code）、`year`（年份范围：1960.0–2024.0）。
**结果/测量类变量** — `value`（数值范围：0.1212–138.52）。
**标识符/元数据类变量** — `indicator_name`（指标名称：出生时预期寿命（男性，年）、出生时预期寿命（女性，年）、青少年生育率（每1000名15-19岁女性的活产数））、`indicator_code`（指标代码：SP.DYN.LE00.MA.IN、SP.DYN.LE00.FE.IN、SP.ADO.TFRT）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-08）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-social-development-indicators-for-somalia")
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 | 缺失率 | 范围/示例值 |
|---|---|---|---|
| `country_name` | object（对象类型） | 0.0% | 索马里，#country+name |
| `country_iso3` | object（对象类型） | 0.0% | SOM（索马里3位国家代码），#country+code |
| `year` | float64（64位浮点型） | 0.1% | 1960.0 – 2024.0（均值：2000.8663） |
| `indicator_name` | object（对象类型） | 0.0% | 出生时预期寿命（男性，年）、出生时预期寿命（女性，年）、青少年生育率（每1000名15-19岁女性的活产数） |
| `indicator_code` | object（对象类型） | 0.0% | SP.DYN.LE00.MA.IN、SP.DYN.LE00.FE.IN、SP.ADO.TFRT |
| `value` | float64（64位浮点型） | 0.1% | 0.1212 – 138.52（均值：38.7218） |
| `esa_source` | object（对象类型） | 0.0% | HDX |
| `esa_processed` | object（对象类型） | 0.0% | 2026-04-08 |

---

## 数值统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 2000.8663 | 2003.0 |
| `value` | 0.1212 | 138.52 | 38.7218 | 35.076 |

---

## 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标准化为蛇形命名法（snake_case）。将常见缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。基于解析成功率（阈值>85%），将2列从字符串类型转换为数值型或日期时间型。本数据集使用固定随机种子（42）按80/20比例划分为训练集与测试集，并保存为Snappy压缩的Parquet格式文件。

---

## 局限性

- 本数据集源自世界银行集团，未由电羊非洲（Electric Sheep Africa）进行独立验证。
- 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。
- 如需了解发布方的方法论说明与注意事项，请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/world-bank-social-development-indicators-for-somalia)。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_social_development_indicators_for_somalia,
title = {索马里——社会发展},
author = {世界银行集团},
year = {2025},
url = {https://data.humdata.org/dataset/world-bank-social-development-indicators-for-somalia},
note = {由电羊非洲（Electric Sheep Africa）重新打包以适配机器学习场景（https://huggingface.co/electricsheepafrica)}
}

---

*[电羊非洲（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。*