electricsheepafrica/africa-kenya-number-of-beneficiaries-of-the-cash-transfer-program-per-constituency

---
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
- cash-voucher-assistance-cva
- disability
- population
- ken
pretty_name: "Kenya - Number of beneficiaries of the Cash Transfer Program per constituency"
dataset_info:
splits:
- name: train
num_examples: 227
- name: test
num_examples: 56
---

# Kenya - Number of beneficiaries of the Cash Transfer Program per constituency

**Publisher:** Kenya Open Data Initiative (inactive) · **Source:** [HDX](https://data.humdata.org/dataset/kenya-number-of-beneficiaries-of-the-cash-transfer-program-per-constituency) · **License:** `cc-by` · **Updated:** 2023-10-18

---

## Abstract

This data indicates the total number of beneficiaries Of The Cash Transfer Program By National Council For Persons With Disabilities per constituency.

Each row in this dataset represents tabular records. Data was last updated on HDX on 2023-10-18. 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)** | 284 |
| **Columns** | 8 (4 numeric, 4 categorical, 0 datetime) |
| **Train split** | 227 rows |
| **Test split** | 56 rows |
| **Geographic scope** | KEN |
| **Publisher** | Kenya Open Data Initiative (inactive) |
| **HDX last updated** | 2023-10-18 |

---

## Variables

**Geographic** — `constituency` (Ainabkoi, Mumias, Mwea), `county_name` (Nairobi, Kakamega, Nakuru), `cent_x` (range 33.9959–41.5361), `cent_y` (range -4.4567–4.4999).

**Outcome / Measurement** — `number_of_beneficiaries` (range 0.0–1265.0).

**Identifier / Metadata** — `objectid` (range 0.0–283.0), `esa_source` (HDX), `esa_processed` (2026-04-10).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-kenya-number-of-beneficiaries-of-the-cash-transfer-program-per-constituency")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `constituency` | object | 0.0% | Ainabkoi, Mumias, Mwea |
| `county_name` | object | 0.0% | Nairobi, Kakamega, Nakuru |
| `number_of_beneficiaries` | float64 | 0.4% | 0.0 – 1265.0 (mean 165.5583) |
| `cent_x` | float64 | 0.0% | 33.9959 – 41.5361 (mean 36.5584) |
| `cent_y` | float64 | 0.0% | -4.4567 – 4.4999 (mean -0.3843) |
| `objectid` | int64 | 0.0% | 0.0 – 283.0 (mean 141.5) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-10 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `number_of_beneficiaries` | 0.0 | 1265.0 | 165.5583 | 145.0 |
| `cent_x` | 33.9959 | 41.5361 | 36.5584 | 36.5043 |
| `cent_y` | -4.4567 | 4.4999 | -0.3843 | -0.4169 |
| `objectid` | 0.0 | 283.0 | 141.5 | 141.5 |

---

## 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 Open Data Initiative (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/kenya-number-of-beneficiaries-of-the-cash-transfer-program-per-constituency) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_kenya_number_of_beneficiaries_of_the_cash_transfer_program_per_constituency,
title = {Kenya - Number of beneficiaries of the Cash Transfer Program per constituency},
author = {Kenya Open Data Initiative (inactive)},
year = {2023},
url = {https://data.humdata.org/dataset/kenya-number-of-beneficiaries-of-the-cash-transfer-program-per-constituency},
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.*