electricsheepafrica/africa-national-top-10-incidences-of-diseases-2009-to-2013

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: other
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- tabular-classification
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- epidemics-outbreaks
- governance-and-civil-society
- health
- ken
pretty_name: "National Top 10 Incidences of Diseases: 2009 to 2013"
dataset_info:
splits:
- name: train
num_examples: 8
- name: test
num_examples: 2
---

# National Top 10 Incidences of Diseases: 2009 to 2013

**Publisher:** Kenya National Bureau of Statistics (inactive) · **Source:** [HDX](https://data.humdata.org/dataset/national-top-10-incidences-of-diseases-2009-to-2013) · **License:** `other-pd-nr` · **Updated:** 2025-02-06

---

## Abstract

This dataset shows the National Top 10 Incidences of Diseases in kenya for the period of : 2009 to 2013 as reported by the Kenya National Bureau of statistics

Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-02-06. 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** | Tabular records |
| **Rows (total)** | 11 |
| **Columns** | 8 (5 numeric, 3 categorical, 0 datetime) |
| **Train split** | 8 rows |
| **Test split** | 2 rows |
| **Geographic scope** | KEN |
| **Publisher** | Kenya National Bureau of Statistics (inactive) |
| **HDX last updated** | 2025-02-06 |

---

## Variables

**Identifier / Metadata** — `disease_name` (Accidents (incl. fractures, burns etc), All Other Diseases, Diarrhoea Diseases), `esa_source` (HDX), `esa_processed` (2026-04-07).

**Other** — `2009` (range 387066.0–9833701.0), `2010` (range 419298.0–11371889.0), `2011` (range 374886.0–11150223.0), `2012` (range 357844.0–12215993.0), `2013` (range 349632.0–14823864.0).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-national-top-10-incidences-of-diseases-2009-to-2013")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `disease_name` | object | 0.0% | Accidents (incl. fractures, burns etc), All Other Diseases, Diarrhoea Diseases |
| `2009` | int64 | 0.0% | 387066.0 – 9833701.0 (mean 2905534.2727) |
| `2010` | int64 | 0.0% | 419298.0 – 11371889.0 (mean 3478372.4545) |
| `2011` | int64 | 0.0% | 374886.0 – 11150223.0 (mean 3484770.6364) |
| `2012` | int64 | 0.0% | 357844.0 – 12215993.0 (mean 3580971.3636) |
| `2013` | int64 | 0.0% | 349632.0 – 14823864.0 (mean 3966956.0909) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-07 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `2009` | 387066.0 | 9833701.0 | 2905534.2727 | 1018151.0 |
| `2010` | 419298.0 | 11371889.0 | 3478372.4545 | 1081317.0 |
| `2011` | 374886.0 | 11150223.0 | 3484770.6364 | 1100997.0 |
| `2012` | 357844.0 | 12215993.0 | 3580971.3636 | 1135046.0 |
| `2013` | 349632.0 | 14823864.0 | 3966956.0909 | 1282996.0 |

---

## 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 Kenya National Bureau of Statistics (inactive) 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/national-top-10-incidences-of-diseases-2009-to-2013) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_national_top_10_incidences_of_diseases_2009_to_2013,
title = {National Top 10 Incidences of Diseases: 2009 to 2013},
author = {Kenya National Bureau of Statistics (inactive)},
year = {2025},
url = {https://data.humdata.org/dataset/national-top-10-incidences-of-diseases-2009-to-2013},
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.*