electricsheepafrica/africa-cash-based-programming-in-somalia

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- other
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- cash-voucher-assistance-cva
- food-security
- hxl
- who-is-doing-what-and-where-3w-4w-5w
- som
pretty_name: "Cash Based Programming in Somalia"
dataset_info:
splits:
- name: train
num_examples: 5558
- name: test
num_examples: 1389
---

# Cash Based Programming in Somalia

**Publisher:** OCHA Somalia · **Source:** [HDX](https://data.humdata.org/dataset/cash-based-programming-in-somalia) · **License:** `cc-by` · **Updated:** 2026-04-03

---

## Abstract

Cash Based Programming in Somalia. Data are aggregated at admin level 2

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-04-03. Geographic scope: **SOM**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Food security and nutrition |
| **Unit of observation** | First-level administrative unit observations |
| **Rows (total)** | 6,948 |
| **Columns** | 10 (2 numeric, 8 categorical, 0 datetime) |
| **Train split** | 5,558 rows |
| **Test split** | 1,389 rows |
| **Geographic scope** | SOM |
| **Publisher** | OCHA Somalia |
| **HDX last updated** | 2026-04-03 |

---

## Variables

**Geographic** — `region` (Sanaag, Bari, Lower Juba), `conditionality` (Unconditional, Unspecified, Conditional), `delivery_mechanism` (Voucher - e-Voucher, Cash - mobile money, Cash - mobile).

**Temporal** — `month` (September, July, August).

**Demographic** — `total_of_individuals` (range 0.0–47202.0).

**Outcome / Measurement** — `total_transfers_usd` (range 0.0–335520.0).

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

**Other** — `cluster` (FSC, Food Security, Safety Nets), `restriction` (Unrestricted, Restricted, #indicator+restriction).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cash-based-programming-in-somalia")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `month` | object | 0.0% | September, July, August |
| `region` | object | 0.0% | Sanaag, Bari, Lower Juba |
| `cluster` | object | 0.0% | FSC, Food Security, Safety Nets |
| `conditionality` | object | 0.0% | Unconditional, Unspecified, Conditional |
| `delivery_mechanism` | object | 0.0% | Voucher - e-Voucher, Cash - mobile money, Cash - mobile |
| `restriction` | object | 0.0% | Unrestricted, Restricted, #indicator+restriction |
| `total_of_individuals` | float64 | 0.0% | 0.0 – 47202.0 (mean 820.57) |
| `total_transfers_usd` | float64 | 0.0% | 0.0 – 335520.0 (mean 9291.1696) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-04 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `total_of_individuals` | 0.0 | 47202.0 | 820.57 | 348.0 |
| `total_transfers_usd` | 0.0 | 335520.0 | 9291.1696 | 3920.0 |

---

## 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`. 1 exact duplicate rows were removed. 2 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). 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 Somalia 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/cash-based-programming-in-somalia) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_cash_based_programming_in_somalia,
title = {Cash Based Programming in Somalia},
author = {OCHA Somalia},
year = {2026},
url = {https://data.humdata.org/dataset/cash-based-programming-in-somalia},
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.*