electricsheepafrica/africa-kenya-public-debt

---
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
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- debt
- kenya
- public-debt
pretty_name: "Kenya Public Debt"
dataset_info:
splits:
- name: train
num_examples: 209
- name: test
num_examples: 52
---

# Kenya Public Debt

**Publisher:** Central Bank of Kenya · **Source:** [OpenAfrica](https://open.africa/dataset/kenya-public-debt) · **License:** `cc-by` · **Updated:** 2023-06-07

---

## Abstract

Data showing both domestic and external debt for each month over 22 years; 1999 to 2021

Each row in this dataset represents time-series observations. Data was last updated on OpenAfrica on 2023-06-07. Geographic scope: **Africa (multiple countries)**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Humanitarian and development data |
| **Unit of observation** | Time-series observations |
| **Rows (total)** | 262 |
| **Columns** | 7 (1 numeric, 6 categorical, 0 datetime) |
| **Train split** | 209 rows |
| **Test split** | 52 rows |
| **Geographic scope** | Africa (multiple countries) |
| **Publisher** | Central Bank of Kenya |
| **OpenAfrica last updated** | 2023-06-07 |

---

## Variables

**Geographic** — `year` (range 1999.0–2021.0), `external_debt` (4,174,371.53, 425,992.78, 425,976.18).

**Temporal** — `month` (December, September, November).

**Outcome / Measurement** — `total` (8,206,739.71, 863,863.72, 860,597.57).

**Identifier / Metadata** — `esa_source` (HDX), `esa_processed` (2026-04-27).

**Other** — `domestic_debt` (4,032,368.18, 437,870.94, 434,621.39).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-kenya-public-debt")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()
```

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `year` | int64 | 0.0% | 1999.0 – 2021.0 (mean 2010.5725) |
| `month` | object | 0.0% | December, September, November |
| `domestic_debt` | object | 0.0% | 4,032,368.18, 437,870.94, 434,621.39 |
| `external_debt` | object | 0.0% | 4,174,371.53, 425,992.78, 425,976.18 |
| `total` | object | 0.0% | 8,206,739.71, 863,863.72, 860,597.57 |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-27 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1999.0 | 2021.0 | 2010.5725 | 2011.0 |

---

## Curation

Raw data was downloaded from OpenAfrica 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 Central Bank of Kenya 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://open.africa/dataset/kenya-public-debt) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{openafrica_africa_kenya_public_debt,
title = {Kenya Public Debt},
author = {Central Bank of Kenya},
year = {2023},
url = {https://open.africa/dataset/kenya-public-debt},
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.*