electricsheepafrica/africa-world-bank-agriculture-and-rural-development-indicators-for-ethiopia

---
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-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- agriculture-livestock
- development
- indicators
- eth
pretty_name: "Ethiopia - Agriculture and Rural Development"
dataset_info:
splits:
- name: train
num_examples: 981
- name: test
num_examples: 245
---

# Ethiopia - Agriculture and Rural Development

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-agriculture-and-rural-development-indicators-for-ethiopia) · **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-ethiopia) on HDX.

For the 70 percent of the world's poor who live in rural areas, agriculture is the main source of income and employment. But depletion and degradation of land and water pose serious challenges to producing enough food and other agricultural products to sustain livelihoods here and meet the needs of urban populations. Data presented here include measures of agricultural inputs, outputs, and productivity compiled by the UN's Food and Agriculture Organization.

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

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Food security and nutrition |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 1,227 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 981 rows |
| **Test split** | 245 rows |
| **Geographic scope** | ETH |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Ethiopia), `country_iso3` (ETH), `year` (range 1960.0–2025.0).

**Outcome / Measurement** — `value` (range 0.0–52070359092.7573).

**Identifier / Metadata** — `indicator_name` (Rural population (% of total population), Rural population, Rural population growth (annual %)), `indicator_code` (SP.RUR.TOTL.ZS, SP.RUR.TOTL, SP.RUR.TOTL.ZG), `esa_source` (HDX), `esa_processed` (2026-04-10).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-agriculture-and-rural-development-indicators-for-ethiopia")
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% | Ethiopia |
| `country_iso3` | object | 0.0% | ETH |
| `year` | int64 | 0.0% | 1960.0 – 2025.0 (mean 2001.6039) |
| `indicator_name` | object | 0.0% | Rural population (% of total population), Rural population, Rural population growth (annual %) |
| `indicator_code` | object | 0.0% | SP.RUR.TOTL.ZS, SP.RUR.TOTL, SP.RUR.TOTL.ZG |
| `value` | float64 | 0.0% | 0.0 – 52070359092.7573 (mean 489419279.7469) |
| `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 | 2001.6039 | 2004.0 |
| `value` | 0.0 | 52070359092.7573 | 489419279.7469 | 90.5763 |

---

## 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-agriculture-and-rural-development-indicators-for-ethiopia) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_agriculture_and_rural_development_indicators_for_ethiopia,
title = {Ethiopia - Agriculture and Rural Development},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-agriculture-and-rural-development-indicators-for-ethiopia},
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（注释生成者）:
- no-annotation（无注释）
language_creators（语言生成方式）:
- found（公开获取）
language（语言）:
- en（英语）
license（许可证）: cc-by-4.0（知识共享署名4.0协议）
multilinguality（多语言属性）:
- monolingual（单语言）
size_categories（样本量区间）:
- 1K<n<10K（1千至1万样本）
source_datasets（源数据集）:
- original（原创数据集）
task_categories（任务类别）:
- tabular-regression（表格回归）
task_ids（任务子项）: []
tags（标签）:
- africa（非洲）
- humanitarian（人道主义）
- hdx（HDX，人道主义数据交换）
- electric-sheep-africa（Electric Sheep Africa，非洲电羊团队）
- agriculture-livestock（农业与畜牧）
- development（发展）
- indicators（指标）
- eth（ETH，埃塞俄比亚）
pretty_name（展示名称): "埃塞俄比亚——农业与农村发展"
dataset_info（数据集信息）:
splits:
- name: train（训练集）
num_examples: 981
- name: test（测试集）
num_examples: 245

---

# 埃塞俄比亚——农业与农村发展

**发布方：世界银行集团 · 来源：[HDX（人道主义数据交换）](https://data.humdata.org/dataset/world-bank-agriculture-and-rural-development-indicators-for-ethiopia) · 许可证：`cc-by` · 更新时间：2026-03-27**

---

## 摘要

本数据集包含源自世界银行[数据门户](http://data.worldbank.org/)的相关数据。HDX平台上另有一份[整合型国家数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-ethiopia)可供获取。

全球70%的贫困人口生活在农村地区，农业是其主要收入与就业来源。然而土地与水资源的损耗与退化，对足够产出粮食及其他农产品以维持当地生计、满足城市人口需求构成了严峻挑战。本数据集收录的指标涵盖了联合国粮食及农业组织（FAO）统计的农业投入、产出与生产率相关数据。

本数据集的每一行均代表国家级汇总数据。该数据集在HDX平台的最后更新时间为2026-03-27。地理覆盖范围：**ETH（埃塞俄比亚）**。

*本数据集已由[Electric Sheep Africa（非洲电羊团队）](https://huggingface.co/electricsheepafrica)整理为机器学习可用的Parquet格式。*

---

## 数据集特征

| | |
|---|---|
| **领域** | 粮食安全与营养 |
| **观测单元** | 国家级汇总数据 |
| **总样本行数** | 1,227 |
| **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** | 981行 |
| **测试集划分** | 245行 |
| **地理覆盖范围** | ETH（埃塞俄比亚） |
| **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：埃塞俄比亚）、`country_iso3`（国家ISO3代码：ETH）、`year`（年份范围：1960.0–2025.0）。

**结果/测量类变量** — `value`（数值范围：0.0–52070359092.7573）。

**标识符/元数据类变量** — `indicator_name`（指标名称：农村人口占总人口比例、农村总人口、农村人口年度增长率）、`indicator_code`（指标代码：SP.RUR.TOTL.ZS、SP.RUR.TOTL、SP.RUR.TOTL.ZG）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-10）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-agriculture-and-rural-development-indicators-for-ethiopia")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()

---

## 数据Schema

| 列名 | 数据类型 | 空值占比 | 取值范围/示例值 |
|---|---|---|---|
| `country_name` | 字符型（object） | 0.0% | 埃塞俄比亚 |
| `country_iso3` | 字符型（object） | 0.0% | ETH |
| `year` | 64位整型（int64） | 0.0% | 1960.0 – 2025.0（均值：2001.6039） |
| `indicator_name` | 字符型（object） | 0.0% | 农村人口占总人口比例、农村总人口、农村人口年度增长率 |
| `indicator_code` | 字符型（object） | 0.0% | SP.RUR.TOTL.ZS、SP.RUR.TOTL、SP.RUR.TOTL.ZG |
| `value` | 64位浮点型（float64） | 0.0% | 0.0 – 52070359092.7573（均值：489419279.7469） |
| `esa_source` | 字符型（object） | 0.0% | HDX |
| `esa_processed` | 字符型（object） | 0.0% | 2026-04-10 |

---

## 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 | 2001.6039 | 2004.0 |
| `value` | 0.0 | 52070359092.7573 | 489419279.7469 | 90.5763 |

---

## 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`。本数据集采用固定随机种子（42）以80/20的比例划分为训练集与测试集，并保存为Snappy压缩的Parquet格式文件。

---

## 数据集局限性

- 本数据集源自世界银行集团，未经过Electric Sheep Africa（非洲电羊团队）的独立验证。
- 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。
- 如需查看发布方提供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-agriculture-and-rural-development-indicators-for-ethiopia)。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_agriculture_and_rural_development_indicators_for_ethiopia,
title = {埃塞俄比亚——农业与农村发展},
author = {世界银行集团},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-agriculture-and-rural-development-indicators-for-ethiopia},
note = {由Electric Sheep Africa（非洲电羊团队）重新打包为机器学习可用格式 (https://huggingface.co/electricsheepafrica)}
}

---

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