electricsheepafrica/africa-logistics-kenya

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: other
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- other
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- logistics
- roads
- transportation
- ken
pretty_name: "Paved roads as a Percentage of total roads in Kenya"
dataset_info:
splits:
- name: train
num_examples: 39
- name: test
num_examples: 9
---

# Paved roads as a Percentage of total roads in Kenya

**Publisher:** OCHA Regional Office for Southern and Eastern Africa (ROSEA) · **Source:** [HDX](https://data.humdata.org/dataset/paved-roads-as-a-percentage-of-total-roads-in-kenya) · **License:** `other-pd-nr` · **Updated:** 2025-05-05

---

## Abstract

Paved roads as a percentage of total roads in Kenya as reported by the Commission of Revenue Allocation in Kenya in 2011

Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2025-05-05. Geographic scope: **KEN**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Humanitarian and development data |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 49 |
| **Columns** | 5 (1 numeric, 4 categorical, 0 datetime) |
| **Train split** | 39 rows |
| **Test split** | 9 rows |
| **Geographic scope** | KEN |
| **Publisher** | OCHA Regional Office for Southern and Eastern Africa (ROSEA) |
| **HDX last updated** | 2025-05-05 |

---

## Variables

**Geographic** — `country` (Kenya).

**Outcome / Measurement** — `counties` (National Average, Baringo, Meru), `paved_roads_as_a_of_total_roads` (range 0.0–28.6).

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

---

## Quick Start

```python
from datasets import load_dataset

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

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `country` | object | 2.0% | Kenya |
| `counties` | object | 2.0% | National Average, Baringo, Meru |
| `paved_roads_as_a_of_total_roads` | float64 | 6.1% | 0.0 – 28.6 (mean 7.6478) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-27 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `paved_roads_as_a_of_total_roads` | 0.0 | 28.6 | 7.6478 | 6.35 |

---

## 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 OCHA Regional Office for Southern and Eastern Africa (ROSEA) 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/paved-roads-as-a-percentage-of-total-roads-in-kenya) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_logistics_kenya,
title = {Paved roads as a Percentage of total roads in Kenya},
author = {OCHA Regional Office for Southern and Eastern Africa (ROSEA)},
year = {2025},
url = {https://data.humdata.org/dataset/paved-roads-as-a-percentage-of-total-roads-in-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.*