electricsheepafrica/africa-percentage-of-households-by-ownership-of-household-assets

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: other
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- tabular-classification
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- baseline-population
- demographics
- economics
- ken
pretty_name: "Percentage of Households by Ownership of Household Assets"
dataset_info:
splits:
- name: train
num_examples: 6
- name: test
num_examples: 1
---

# Percentage of Households by Ownership of Household Assets

**Publisher:** Kenya National Bureau of Statistics (inactive) · **Source:** [HDX](https://data.humdata.org/dataset/percentage-of-households-by-ownership-of-household-assets) · **License:** `other-pd-nr` · **Updated:** 2025-02-06

---

## Abstract

Dataset shows the Percentage of Households by Ownership of Household Assets as per the 2009 census findings

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** | Demographics and population |
| **Unit of observation** | Tabular records |
| **Rows (total)** | 8 |
| **Columns** | 4 (1 numeric, 3 categorical, 0 datetime) |
| **Train split** | 6 rows |
| **Test split** | 1 rows |
| **Geographic scope** | KEN |
| **Publisher** | Kenya National Bureau of Statistics (inactive) |
| **HDX last updated** | 2025-02-06 |

---

## Variables

**Demographic** — `percentage` (range 1.2375–72.25).

**Identifier / Metadata** — `esa_source` (HDX), `esa_processed` (2026-04-07).

**Other** — `asset` (Bicycle, Car / Truck / Tuk tuk, Computer).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-percentage-of-households-by-ownership-of-household-assets")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `asset` | object | 0.0% | Bicycle, Car / Truck / Tuk tuk, Computer |
| `percentage` | float64 | 0.0% | 1.2375 – 72.25 (mean 24.3078) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-07 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `percentage` | 1.2375 | 72.25 | 24.3078 | 14.0125 |

---

## 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/percentage-of-households-by-ownership-of-household-assets) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_percentage_of_households_by_ownership_of_household_assets,
title = {Percentage of Households by Ownership of Household Assets},
author = {Kenya National Bureau of Statistics (inactive)},
year = {2025},
url = {https://data.humdata.org/dataset/percentage-of-households-by-ownership-of-household-assets},
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.*