electricsheepafrica/africa-world-bank-combined-indicators-for-eritrea

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- tabular-classification
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- agriculture-livestock
- aid-effectiveness
- climate-weather
- development
- economics
- education
- energy
- environment
- eri
pretty_name: "Eritrea - Economic, Social, Environmental, Health, Education, Development and Energy"
dataset_info:
splits:
- name: train
num_examples: 29120
- name: test
num_examples: 7280
---

# Eritrea - Economic, Social, Environmental, Health, Education, Development and Energy

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-combined-indicators-for-eritrea) · **License:** `cc-by` · **Updated:** 2026-03-27

---

## Abstract

Contains data from the World Bank's [data portal](http://data.worldbank.org/) covering the following topics which also exist as individual datasets on HDX: [Agriculture and Rural Development](https://data.humdata.org/dataset/world-bank-agriculture-and-rural-development-indicators-for-eritrea), [Aid Effectiveness](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-eritrea), [Economy and Growth](https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-eritrea), [Education](https://data.humdata.org/dataset/world-bank-education-indicators-for-eritrea), [Energy and Mining](https://data.humdata.org/dataset/world-bank-energy-and-mining-indicators-for-eritrea), [Environment](https://data.humdata.org/dataset/world-bank-environment-indicators-for-eritrea), [Financial Sector](https://data.humdata.org/dataset/world-bank-financial-sector-indicators-for-eritrea), [Health](https://data.humdata.org/dataset/world-bank-health-indicators-for-eritrea), [Infrastructure](https://data.humdata.org/dataset/world-bank-infrastructure-indicators-for-eritrea), [Social Protection and Labor](https://data.humdata.org/dataset/world-bank-social-protection-and-labor-indicators-for-eritrea), [Poverty](https://data.humdata.org/dataset/world-bank-poverty-indicators-for-eritrea), [Private Sector](https://data.humdata.org/dataset/world-bank-private-sector-indicators-for-eritrea), [Public Sector](https://data.humdata.org/dataset/world-bank-public-sector-indicators-for-eritrea), [Science and Technology](https://data.humdata.org/dataset/world-bank-science-and-technology-indicators-for-eritrea), [Social Development](https://data.humdata.org/dataset/world-bank-social-development-indicators-for-eritrea), [Urban Development](https://data.humdata.org/dataset/world-bank-urban-development-indicators-for-eritrea), [Gender](https://data.humdata.org/dataset/world-bank-gender-indicators-for-eritrea), [Millenium development goals](https://data.humdata.org/dataset/world-bank-millenium-development-goals-indicators-for-eritrea), [Climate Change](https://data.humdata.org/dataset/world-bank-climate-change-indicators-for-eritrea), [External Debt](https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-eritrea), [Trade](https://data.humdata.org/dataset/world-bank-trade-indicators-for-eritrea).

Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2026-03-27. Geographic scope: **ERI**.

*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)** | 36,401 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 29,120 rows |
| **Test split** | 7,280 rows |
| **Geographic scope** | ERI |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Eritrea), `country_iso3` (ERI), `year` (range 1960.0–2025.0).

**Outcome / Measurement** — `value` (range -11123818100.0–69140312073.42).

**Identifier / Metadata** — `indicator_name` (Population in the largest city (% of urban population), Population in largest city, Net migration), `indicator_code` (EN.URB.LCTY.UR.ZS, EN.URB.LCTY, SM.POP.NETM), `esa_source` (HDX), `esa_processed` (2026-04-16).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-combined-indicators-for-eritrea")
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% | Eritrea |
| `country_iso3` | object | 0.0% | ERI |
| `year` | int64 | 0.0% | 1960.0 – 2025.0 (mean 2002.0971) |
| `indicator_name` | object | 0.0% | Population in the largest city (% of urban population), Population in largest city, Net migration |
| `indicator_code` | object | 0.0% | EN.URB.LCTY.UR.ZS, EN.URB.LCTY, SM.POP.NETM |
| `value` | float64 | 0.0% | -11123818100.0 – 69140312073.42 (mean 194496679.9259) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-16 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 2002.0971 | 2003.0 |
| `value` | -11123818100.0 | 69140312073.42 | 194496679.9259 | 55.0 |

---

## 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`. 9,979 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 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-combined-indicators-for-eritrea) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_combined_indicators_for_eritrea,
title = {Eritrea - Economic, Social, Environmental, Health, Education, Development and Energy},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-combined-indicators-for-eritrea},
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:
- 无注释生成
language_creators:
- 公开数据源获取
language:
- 英语
license: CC-BY-4.0
multilinguality:
- 单语言
size_categories:
- 10000 < 样本量 < 100000
source_datasets:
- 原创数据集
task_categories:
- 表格分类
task_ids:
- 无
tags:
- 非洲
- 人道主义
- HDX
- electric-sheep-africa
- 农业与畜牧业
- 援助有效性
- 气候与天气
- 发展
- 经济学
- 教育
- 能源
- 环境
- 厄立特里亚（ERI）
pretty_name: "厄立特里亚——经济、社会、环境、卫生、教育、发展与能源"
dataset_info:
splits:
- name: 训练集
num_examples: 29120
- name: 测试集
num_examples: 7280
---

# 厄立特里亚——经济、社会、环境、卫生、教育、发展与能源

**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-combined-indicators-for-eritrea) · **授权协议：** `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/)的多领域数据，以下主题的对应独立数据集也可在HDX平台获取：[农业与农村发展](https://data.humdata.org/dataset/world-bank-agriculture-and-rural-development-indicators-for-eritrea)、[援助有效性](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-eritrea)、[经济与增长](https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-eritrea)、[教育](https://data.humdata.org/dataset/world-bank-education-indicators-for-eritrea)、[能源与矿业](https://data.humdata.org/dataset/world-bank-energy-and-mining-indicators-for-eritrea)、[环境](https://data.humdata.org/dataset/world-bank-environment-indicators-for-eritrea)、[金融部门](https://data.humdata.org/dataset/world-bank-financial-sector-indicators-for-eritrea)、[卫生](https://data.humdata.org/dataset/world-bank-health-indicators-for-eritrea)、[基础设施](https://data.humdata.org/dataset/world-bank-infrastructure-indicators-for-eritrea)、[社会保护与劳动](https://data.humdata.org/dataset/world-bank-social-protection-and-labor-indicators-for-eritrea)、[贫困](https://data.humdata.org/dataset/world-bank-poverty-indicators-for-eritrea)、[私营部门](https://data.humdata.org/dataset/world-bank-private-sector-indicators-for-eritrea)、[公共部门](https://data.humdata.org/dataset/world-bank-public-sector-indicators-for-eritrea)、[科学与技术](https://data.humdata.org/dataset/world-bank-science-and-technology-indicators-for-eritrea)、[社会发展](https://data.humdata.org/dataset/world-bank-social-development-indicators-for-eritrea)、[城市发展](https://data.humdata.org/dataset/world-bank-urban-development-indicators-for-eritrea)、[性别平等](https://data.humdata.org/dataset/world-bank-gender-indicators-for-eritrea)、[千年发展目标](https://data.humdata.org/dataset/world-bank-millenium-development-goals-indicators-for-eritrea)、[气候变化](https://data.humdata.org/dataset/world-bank-climate-change-indicators-for-eritrea)、[外债](https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-eritrea)、[贸易](https://data.humdata.org/dataset/world-bank-trade-indicators-for-eritrea)。

本数据集的每一行均代表国家层面的汇总统计数据。HDX平台上的该数据集最后更新时间为2026-03-27。地理覆盖范围：**ERI（厄立特里亚）**。

*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 |
| **总行数** | 36,401 |
| **列数** | 8（2个数值型、6个分类型、0个日期时间型） |
| **训练集划分** | 29,120 行 |
| **测试集划分** | 7,280 行 |
| **地理覆盖范围** | ERI（厄立特里亚） |
| **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：厄立特里亚）、`country_iso3`（国家ISO3代码：ERI）、`year`（年份范围：1960.0–2025.0）。
**结果/测量类变量** — `value`（指标数值范围：-11123818100.0–69140312073.42）。
**标识符/元数据类变量** — `indicator_name`（指标名称：特大城市人口占城镇人口比重、特大城市人口、净移民）、`indicator_code`（指标代码：EN.URB.LCTY.UR.ZS、EN.URB.LCTY、SM.POP.NETM）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-16）。

---

## 快速上手

python
from datasets import load_dataset

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

print(train.shape)
train.head()

---

## 数据架构

| 列名 | 数据类型 | 空值占比 | 取值范围/示例值 |
|---|---|---|---|
| `country_name` | object | 0.0% | 厄立特里亚 |
| `country_iso3` | object | 0.0% | ERI |
| `year` | int64 | 0.0% | 1960.0 – 2025.0（均值：2002.0971） |
| `indicator_name` | object | 0.0% | 特大城市人口占城镇人口比重、特大城市人口、净移民 |
| `indicator_code` | object | 0.0% | EN.URB.LCTY.UR.ZS、EN.URB.LCTY、SM.POP.NETM |
| `value` | float64 | 0.0% | -11123818100.0 – 69140312073.42（均值：194496679.9259） |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-16 |

---

## 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 | 2002.0971 | 2003.0 |
| `value` | -11123818100.0 | 69140312073.42 | 194496679.9259 | 55.0 |

---

## 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）。将常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。删除了9,979条完全重复的行。采用固定随机种子（42）将数据集按80/20的比例划分为训练集与测试集，并以Snappy压缩格式保存为Parquet文件。

---

## 数据集局限性

- 数据源自世界银行集团，并未经Electric Sheep Africa（ESA）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。
- 如需了解发布方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-combined-indicators-for-eritrea)。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_combined_indicators_for_eritrea,
title = {Eritrea - Economic, Social, Environmental, Health, Education, Development and Energy},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-combined-indicators-for-eritrea},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

*[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。*