---
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:
- other
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- humanitarian-response-plan-hrp
- who-is-doing-what-and-where-3w-4w-5w
- ken
pretty_name: "Kenya: Response Plan projects"
dataset_info:
  splits:
    - name: train
      num_examples: 24
    - name: test
      num_examples: 6
---

# Kenya: Response Plan projects

**Publisher:** OCHA Humanitarian Programme Cycle Tools (HPC Tools) · **Source:** [HDX](https://data.humdata.org/dataset/hrp-projects-ken) · **License:** `cc-by-igo` · **Updated:** 2026-04-01

---

## Abstract

Projects proposed, in progress, or completed as part of the annual Kenya Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

**Important:** some projects in Kenya might be missing, and others might not apply specifically to Kenya. See _Caveats_ under the _Additional information_ tab.

Each row in this dataset represents time-series observations. Temporal coverage is indicated by the `startdate`, `enddate` column(s). 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** | Time-series observations |
| **Rows (total)** | 31 |
| **Columns** | 13 (1 numeric, 10 categorical, 2 datetime) |
| **Train split** | 24 rows |
| **Test split** | 6 rows |
| **Geographic scope** | KEN |
| **Publisher** | OCHA Humanitarian Programme Cycle Tools (HPC Tools) |
| **HDX last updated** | 2026-04-01 |

---

## Variables

**Geographic** — `locations` (ETH, SOM, KEN).

**Temporal** — `startdate`, `enddate`.

**Identifier / Metadata** — `name` (Ethiopia: Agar Ethiopia Charitable Society (Multi-sector response), Somalia: OXFAM (Multi-sector response), Djibouti: World Food Programme (Multi-sector response)), `versioncode` (RRHOAY25-MS-224599-2, RRHOAY25-MS-224615-2, RRHOAY25-MS-224628-2), `response_plan_code` (RRHOAY25), `esa_source` (HDX), `esa_processed` (2026-04-04).

**Other** — `currentrequestedfunds` (range 50000.0–14763260.0), `objective` (Agar Ethiopia Charitable Society - Multi-sector response for Horn of Africa to Yemen and Southern Africa Plan in Ethiopia, OXFAM - Multi-sector response for Horn of Africa to Yemen and Southern Africa Plan in Somalia, World Food Programme - Multi-sector response for Horn of Africa to Yemen and Southern Africa Plan in Djibouti), `globalclusters` (Multi-sector), `organizations` (International Organization for Migration, United Nations Children's Fund, Save the Children), `plans` (Regional Migrant Response Plan for Horn of Africa to Yemen and Southern Africa 2025).

---

## Quick Start

```python
from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-hrp-projects-ken")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `name` | object | 0.0% | Ethiopia: Agar Ethiopia Charitable Society (Multi-sector response), Somalia: OXFAM (Multi-sector response), Djibouti: World Food Programme (Multi-sector response) |
| `versioncode` | object | 0.0% | RRHOAY25-MS-224599-2, RRHOAY25-MS-224615-2, RRHOAY25-MS-224628-2 |
| `currentrequestedfunds` | int64 | 0.0% | 50000.0 – 14763260.0 (mean 1977001.7742) |
| `objective` | object | 0.0% | Agar Ethiopia Charitable Society - Multi-sector response for Horn of Africa to Yemen and Southern Africa Plan in Ethiopia, OXFAM - Multi-sector response for Horn of Africa to Yemen and Southern Africa Plan in Somalia, World Food Programme - Multi-sector response for Horn of Africa to Yemen and Southern Africa Plan in Djibouti |
| `startdate` | datetime64[ns] | 0.0% |  |
| `enddate` | datetime64[ns] | 0.0% |  |
| `globalclusters` | object | 0.0% | Multi-sector |
| `locations` | object | 16.1% | ETH, SOM, KEN |
| `organizations` | object | 0.0% | International Organization for Migration, United Nations Children's Fund, Save the Children |
| `plans` | object | 0.0% | Regional Migrant Response Plan for Horn of Africa to Yemen and Southern Africa 2025 |
| `response_plan_code` | object | 0.0% | RRHOAY25 |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-04 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `currentrequestedfunds` | 50000.0 | 14763260.0 | 1977001.7742 | 470000.0 |

---

## 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 column(s) with >80% missing values were removed: `partners`. 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 Humanitarian Programme Cycle Tools (HPC Tools) 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/hrp-projects-ken) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_hrp_projects_ken,
  title     = {Kenya: Response Plan projects},
  author    = {OCHA Humanitarian Programme Cycle Tools (HPC Tools)},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/hrp-projects-ken},
  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.*