electricsheepafrica/africa-world-bank-external-debt-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-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- economics
- indicators
- ken
pretty_name: "Kenya - External Debt"
dataset_info:
splits:
- name: train
num_examples: 2348
- name: test
num_examples: 587
---

# Kenya - External Debt

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

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.

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** | Market and price monitoring |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 2,935 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 2,348 rows |
| **Test split** | 587 rows |
| **Geographic scope** | KEN |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Kenya), `country_iso3` (KEN), `year` (range 1960.0–2024.0).

**Outcome / Measurement** — `value` (range -6377926517.1221–118468237971.852).

**Identifier / Metadata** — `indicator_name` (GNI (current US$), Net ODA received (% of GNI), Grants, excluding technical cooperation (BoP, current US$)), `indicator_code` (NY.GNP.MKTP.CD, DT.ODA.ODAT.GN.ZS, BX.GRT.EXTA.CD.WD), `esa_source` (HDX), `esa_processed` (2026-04-09).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-external-debt-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 – 2024.0 (mean 1996.5288) |
| `indicator_name` | object | 0.0% | GNI (current US$), Net ODA received (% of GNI), Grants, excluding technical cooperation (BoP, current US$) |
| `indicator_code` | object | 0.0% | NY.GNP.MKTP.CD, DT.ODA.ODAT.GN.ZS, BX.GRT.EXTA.CD.WD |
| `value` | float64 | 0.0% | -6377926517.1221 – 118468237971.852 (mean 1672143975.7498) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-09 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 1996.5288 | 1996.0 |
| `value` | -6377926517.1221 | 118468237971.852 | 1672143975.7498 | 28838903.0 |

---

## 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`. 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-external-debt-indicators-for-kenya) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_external_debt_indicators_for_kenya,
title = {Kenya - External Debt},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-external-debt-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:
- 现有资源获取
language:
- 英语
license: CC BY 4.0
multilinguality:
- 单语言
size_categories:
- 1000 < 样本量 < 10000
source_datasets:
- 原始数据集
task_categories:
- 表格回归
task_ids: []
tags:
- 非洲
- 人道主义
- HDX
- Electric Sheep Africa
- 经济学
- 指标
- 肯尼亚（KEN）
pretty_name: "肯尼亚——外债数据集"
dataset_info:
splits:
- name: 训练集
num_examples: 2348
- name: 测试集
num_examples: 587
---

# 肯尼亚——外债数据集

**发布方**：世界银行集团 · **数据来源**：[HDX（Humanitarian Data Exchange）](https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-kenya) · **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/)的相关数据。HDX平台上还提供了一份[整合后的国家数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-kenya)。

外债统计数据可详细展现发展中国家的债务存量与流量情况。作为《季度外债统计》的组成部分，本数据集重点聚焦高收入国家与新兴市场的外债状况，以助力更全面地理解全球金融流动。《公共部门季度债务数据库》则提供了更多关于公共部门估值方法、债务工具的相关数据，并明确划分了中央、州与地方政府，以及预算外机构和基金的债务层级。本数据集的数据来源于各国统计机构、中央银行、各类主要多边机构以及世界银行工作人员。

本数据集中的每一行均代表国家层面的汇总数据。HDX平台上本数据集的最后更新时间为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)整理为适合机器学习使用的Parquet格式。*

---

## 数据集特征

| | |
|---|---|
| **领域** | 市场与价格监测 |
| **观测单元** | 国家层面汇总数据 |
| **总样本行数** | 2935 |
| **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** | 2348条样本 |
| **测试集划分** | 587条样本 |
| **地理覆盖范围** | KEN（肯尼亚） |
| **发布方** | 世界银行集团 |
| **HDX平台最后更新时间** | 2026-03-27 |

---

## 变量

**地理相关变量** — `country_name`（国家名称：肯尼亚）、`country_iso3`（国家ISO3代码：KEN）、`year`（年份：范围1960.0–2024.0）。

**结果/测量变量** — `value`（数值：范围-6377926517.1221–118468237971.852）。

**标识符/元数据变量** — `indicator_name`（指标名称：国民总收入（现价美元）、官方发展援助（Official Development Assistance，ODA）净流入（占国民总收入百分比）、剔除技术合作后的赠款（国际收支平衡表（Balance of Payments，BoP），现价美元））、`indicator_code`（指标代码：NY.GNP.MKTP.CD、DT.ODA.ODAT.GN.ZS、BX.GRT.EXTA.CD.WD）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-09）。

---

## 快速入门

python
from datasets import load_dataset

# 加载数据集
ds = load_dataset("electricsheepafrica/africa-world-bank-external-debt-indicators-for-kenya")
# 转换为Pandas DataFrame格式的训练集与测试集
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

# 打印训练集维度
print(train.shape)
# 查看训练集前5条样本
train.head()

---

## 数据结构（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% | 肯尼亚 |
| `country_iso3` | 字符型（object） | 0.0% | KEN |
| `year` | 64位整型（int64） | 0.0% | 1960.0 – 2024.0（均值：1996.5288） |
| `indicator_name` | 字符型（object） | 0.0% | 国民总收入（现价美元）、官方发展援助净流入（占国民总收入百分比）、剔除技术合作后的赠款（国际收支平衡表，现价美元） |
| `indicator_code` | 字符型（object） | 0.0% | NY.GNP.MKTP.CD、DT.ODA.ODAT.GN.ZS、BX.GRT.EXTA.CD.WD |
| `value` | 64位浮点型（float64） | 0.0% | -6377926517.1221 – 118468237971.852（均值：1672143975.7498） |
| `esa_source` | 字符型（object） | 0.0% | HDX |
| `esa_processed` | 字符型（object） | 0.0% | 2026-04-09 |

---

## 数值型变量汇总

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 1996.5288 | 1996.0 |
| `value` | -6377926517.1221 | 118468237971.852 | 1672143975.7498 | 28838903.0 |

---

## 数据整理

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采用蛇形命名法（snake_case）进行标准化。将常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。本数据集以固定随机种子（42）按照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。

---

## 局限性

- 本数据集的数据源自世界银行集团，并未由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、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-external-debt-indicators-for-kenya)。

---

## 引用

bibtex
@dataset{hdx_africa_world_bank_external_debt_indicators_for_kenya,
title = {肯尼亚——外债数据集},
author = {世界银行集团},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-kenya},
note = {由Electric Sheep Africa（https://huggingface.co/electricsheepafrica）重新打包以适配机器学习使用}
}

---

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