electricsheepafrica/africa-world-bank-aid-effectiveness-indicators-for-kenya

---
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
- aid-effectiveness
- indicators
- ken
pretty_name: "Kenya - Aid Effectiveness"
dataset_info:
splits:
- name: train
num_examples: 2217
- name: test
num_examples: 554
---

# Kenya - Aid Effectiveness

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-kenya) · **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-kenya) on HDX.

Aid effectiveness is the impact that aid has in reducing poverty and inequality, increasing growth, building capacity, and accelerating achievement of the Millennium Development Goals set by the international community. Indicators here cover aid received as well as progress in reducing poverty and improving education, health, and other measures of human welfare.

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

*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)** | 2,772 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 2,217 rows |
| **Test split** | 554 rows |
| **Geographic scope** | KEN |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Kenya), `country_iso3` (KEN), `year` (range 1960.0–2025.0).

**Outcome / Measurement** — `value` (range -14569999.6948–4315971191.4062).

**Identifier / Metadata** — `indicator_name` (Net migration, Net bilateral aid flows from DAC donors, United Kingdom (current US$), Mortality rate, under-5 (per 1,000 live births)), `indicator_code` (SM.POP.NETM, DC.DAC.GBRL.CD, SH.DYN.MORT), `esa_source` (HDX), `esa_processed` (2026-04-09).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-aid-effectiveness-indicators-for-kenya")
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% | Kenya |
| `country_iso3` | object | 0.0% | KEN |
| `year` | int64 | 0.0% | 1960.0 – 2025.0 (mean 1996.737) |
| `indicator_name` | object | 0.0% | Net migration, Net bilateral aid flows from DAC donors, United Kingdom (current US$), Mortality rate, under-5 (per 1,000 live births) |
| `indicator_code` | object | 0.0% | SM.POP.NETM, DC.DAC.GBRL.CD, SH.DYN.MORT |
| `value` | float64 | 0.0% | -14569999.6948 – 4315971191.4062 (mean 150554636.0282) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-09 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 1996.737 | 1999.0 |
| `value` | -14569999.6948 | 4315971191.4062 | 150554636.0282 | 3675000.0715 |

---

## 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-aid-effectiveness-indicators-for-kenya) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_aid_effectiveness_indicators_for_kenya,
title = {Kenya - Aid Effectiveness},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-kenya},
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:
- 无标注
language_creators:
- 现有资源抓取
language:
- 英语
license: cc-by-4.0
multilinguality:
- 单语言
size_categories:
- 1000 < 样本数 < 10000
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，Humanitarian Data Exchange）
- Electric Sheep Africa
- 援助有效性
- 指标
- 肯尼亚（KEN）
pretty_name: "肯尼亚——援助有效性"
dataset_info:
splits:
- name: train
num_examples: 2217
- name: test
num_examples: 554

# 肯尼亚——援助有效性数据集

**发布方:** 世界银行集团 · **来源:** [HDX（人道主义数据交换平台，Humanitarian Data Exchange）](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-kenya) · **许可证:** `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/)的相关数据。HDX平台上还提供了一份[肯尼亚综合国家数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-kenya)。

援助有效性指的是国际援助在减少贫困与不平等、促进经济增长、提升能力建设以及加速实现国际社会设定的千年发展目标（Millennium Development Goals）方面所产生的影响。本数据集收录的指标既涵盖接收的援助数据，也包含减贫、教育与卫生改善及其他人类福祉相关维度的进展情况。

本数据集的每一行均代表国家级汇总数据。数据最近一次在HDX平台更新的时间为2026-03-27。地理覆盖范围：**肯尼亚（KEN）**。

*本数据集已由[Electric Sheep Africa](https://huggingface.co/electricsheepafrica)整理为适配机器学习的Parquet（列式存储格式）。*

---

## 数据集特征

| | |
|---|---|
| **领域** | 公共卫生 |
| **观测单元** | 国家级汇总数据 |
| **总样本行数** | 2,772 |
| **列数** | 8列（2列数值型，6列分类型，0列日期时间型） |
| **训练集拆分** | 2,217行 |
| **测试集拆分** | 554行 |
| **地理覆盖范围** | 肯尼亚（KEN） |
| **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：肯尼亚）、`country_iso3`（国家ISO3代码：KEN）、`year`（年份：取值范围1960.0–2025.0）。
**结果/测量变量** — `value`（指标数值：取值范围-14569999.6948–4315971191.4062）。
**标识符/元数据变量** — `indicator_name`（指标名称：净移民、来自发展援助委员会（DAC）捐助国英国的双边援助净流入（当前美元计价）、5岁以下儿童死亡率（每1000活产儿））、`indicator_code`（指标代码：SM.POP.NETM, DC.DAC.GBRL.CD, SH.DYN.MORT）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-09）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-aid-effectiveness-indicators-for-kenya")
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 | 取值范围/示例值 |
|---|---|---|---|
| `country_name` | 字符串型（object） | 0.0% | 肯尼亚 |
| `country_iso3` | 字符串型（object） | 0.0% | KEN |
| `year` | 64位整数型（int64） | 0.0% | 1960.0 – 2025.0 (mean 1996.737) |
| `indicator_name` | 字符串型（object） | 0.0% | 净移民、来自DAC捐助国英国的双边援助净流入（当前美元计价）、5岁以下儿童死亡率（每1000活产儿） |
| `indicator_code` | 字符串型（object） | 0.0% | SM.POP.NETM, DC.DAC.GBRL.CD, SH.DYN.MORT |
| `value` | 64位浮点型（float64） | 0.0% | -14569999.6948 – 4315971191.4062 (mean 150554636.0282) |
| `esa_source` | 字符串型（object） | 0.0% | HDX |
| `esa_processed` | 字符串型（object） | 0.0% | 2026-04-09 |

---

## 数值型变量统计摘要

| 列名 | 最小值 | 最大值 | 平均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 1996.737 | 1999.0 |
| `value` | -14569999.6948 | 4315971191.4062 | 150554636.0282 | 3675000.0715 |

---

## 数据整理说明

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规范化为蛇形命名法（snake_case）。常见的缺失值标记（`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`）被统一替换为`NaN`。本数据集以80/20的比例划分为训练集与测试集，采用固定随机种子（42）进行拆分，并以Snappy压缩的Parquet格式存储。

---

## 数据集局限性

- 本数据集源自世界银行集团，尚未由Electric Sheep Africa进行独立验证。
- 自动化数据清洗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。
- 请参阅[HDX平台原始数据集页面](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-kenya)获取发布方提供的方法说明与免责条款。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_aid_effectiveness_indicators_for_kenya,
title = {Kenya - Aid Effectiveness},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-kenya},
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提供商，总部位于尼日利亚拉各斯。*