electricsheepafrica/africa-wfp-hungermap-data-for-ken

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- tabular-classification
- tabular-regression
- other
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- food-security
- indicators
- ken
pretty_name: "Kenya - HungerMap data"
dataset_info:
splits:
- name: train
num_examples: 0
- name: test
num_examples: 0
---

# Kenya - HungerMap data

**Publisher:** WFP - World Food Programme · **Source:** [HDX](https://data.humdata.org/dataset/wfp-hungermap-data-for-ken) · **License:** `cc-by-sa` · **Updated:** 2026-03-04

---

## Abstract

HungerMapLIVE is the World Food Programme (WFP)’s global hunger monitoring system. It combines key metrics from various data sources – such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data – to help assess, monitor and predict the magnitude and severity of hunger in near real-time. The resulting analysis is displayed on an interactive map that helps WFP staff, key decision makers and the broader humanitarian community to make more informed and timely decisions relating to food security.

The platform covers 94 countries, including countries where WFP has operations as well as most lower and lower-middle income countries (as classified by the World Bank).

Each row in this dataset represents country-level aggregates. Temporal coverage is indicated by the `date` column(s). Geographic scope: **KEN**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Food security and nutrition |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 1 |
| **Columns** | 15 (8 numeric, 6 categorical, 1 datetime) |
| **Train split** | 0 rows |
| **Test split** | 0 rows |
| **Geographic scope** | KEN |
| **Publisher** | WFP - World Food Programme |
| **HDX last updated** | 2026-03-04 |

---

## Variables

**Geographic** — `countrycode` (KEN), `countryname` (Kenya), `adminlevel` (national), `datatype` (SURVEY).

**Temporal** — `date`.

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

**Other** — `fcs_people` (range 13611711.0–13611711.0), `fcs_prevalence` (range 0.2649–0.2649), `rcsi_people` (range 17488455.0–17488455.0), `rcsi_prevalence` (range 0.3403–0.3403), `health_access_people` (range 14770843.0–14770843.0) and 3 others.

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-wfp-hungermap-data-for-ken")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `countrycode` | object | 0.0% | KEN |
| `countryname` | object | 0.0% | Kenya |
| `adminlevel` | object | 0.0% | national |
| `date` | datetime64[ns] | 0.0% | |
| `datatype` | object | 0.0% | SURVEY |
| `fcs_people` | int64 | 0.0% | 13611711.0 – 13611711.0 (mean 13611711.0) |
| `fcs_prevalence` | float64 | 0.0% | 0.2649 – 0.2649 (mean 0.2649) |
| `rcsi_people` | int64 | 0.0% | 17488455.0 – 17488455.0 (mean 17488455.0) |
| `rcsi_prevalence` | float64 | 0.0% | 0.3403 – 0.3403 (mean 0.3403) |
| `health_access_people` | int64 | 0.0% | 14770843.0 – 14770843.0 (mean 14770843.0) |
| `health_access_prevalence` | float64 | 0.0% | 0.4795 – 0.4795 (mean 0.4795) |
| `market_access_people` | int64 | 0.0% | 22666271.0 – 22666271.0 (mean 22666271.0) |
| `market_access_prevalence` | float64 | 0.0% | 0.441 – 0.441 (mean 0.441) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-07 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `fcs_people` | 13611711.0 | 13611711.0 | 13611711.0 | 13611711.0 |
| `fcs_prevalence` | 0.2649 | 0.2649 | 0.2649 | 0.2649 |
| `rcsi_people` | 17488455.0 | 17488455.0 | 17488455.0 | 17488455.0 |
| `rcsi_prevalence` | 0.3403 | 0.3403 | 0.3403 | 0.3403 |
| `health_access_people` | 14770843.0 | 14770843.0 | 14770843.0 | 14770843.0 |
| `health_access_prevalence` | 0.4795 | 0.4795 | 0.4795 | 0.4795 |
| `market_access_people` | 22666271.0 | 22666271.0 | 22666271.0 | 22666271.0 |
| `market_access_prevalence` | 0.441 | 0.441 | 0.441 | 0.441 |

---

## 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`. 2 column(s) with >80% missing values were removed: `adminone`, `population`. 1 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 WFP - World Food Programme 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/wfp-hungermap-data-for-ken) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_wfp_hungermap_data_for_ken,
title = {Kenya - HungerMap data},
author = {WFP - World Food Programme},
year = {2026},
url = {https://data.humdata.org/dataset/wfp-hungermap-data-for-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.*

annotations_creators:
- 无标注
language_creators:
- 公开获取
language:
- en
license: cc-by-sa-4.0
multilinguality:
- 单语种
size_categories:
- 样本量小于1000
source_datasets:
- 原始数据集
task_categories:
- 表格分类
- 表格回归
- 其他
task_ids: []
tags:
- 非洲
- 人道主义
- HDX
- Electric Sheep Africa
- 粮食安全
- 指标
- 肯尼亚
pretty_name: "肯尼亚——HungerMap数据集"
dataset_info:
splits:
- name: train
num_examples: 0
- name: test
num_examples: 0

# 肯尼亚——HungerMap数据集

**发布方**：世界粮食计划署（World Food Programme，WFP） · **来源**：[HDX](https://data.humdata.org/dataset/wfp-hungermap-data-for-ken) · **许可证**：`cc-by-sa` · **更新时间**：2026-03-04

---

## 摘要

HungerMapLIVE是世界粮食计划署（World Food Programme，WFP）的全球饥饿监测系统。该系统整合来自各类数据源的关键指标——包括粮食安全信息、气象数据、人口规模、冲突情况、灾害事件、营养信息以及宏观经济数据——以实现对饥饿程度与严重程度的近实时评估、监测与预测。其生成的分析结果将展示于交互式地图中，助力WFP工作人员、核心决策者及更广泛的人道主义社群做出更具依据性与时效性的粮食安全相关决策。

该平台覆盖94个国家，涵盖WFP开展业务的国家以及世界银行分类下的大部分低收入和中低收入国家。

本数据集的每一行均代表国家级汇总数据。时间覆盖范围由`date`列（多列时）标注。地理范围：**肯尼亚（KEN）**。

*本数据集已由[Electric Sheep Africa](https://huggingface.co/electricsheepafrica)整理为适配机器学习的Parquet格式。*

---

## 数据集特征

| | |
|---|---|
| **领域** | 粮食安全与营养 |
| **观测单元** | 国家级汇总数据 |
| **总行数** | 1 |
| **列数** | 15（8个数值型、6个分类型、1个日期时间型） |
| **训练集划分** | 0条样本 |
| **测试集划分** | 0条样本 |
| **地理范围** | 肯尼亚（KEN） |
| **发布方** | 世界粮食计划署（WFP） |
| **HDX最后更新时间** | 2026-03-04 |

---

## 变量

**地理相关变量** — `countrycode`（KEN，肯尼亚国家代码）、`countryname`（肯尼亚）、`adminlevel`（国家级）、`datatype`（SURVEY，调查数据）。
**时间相关变量** — `date`（日期）。
**标识符与元数据** — `esa_source`（HDX，数据来源）、`esa_processed`（2026-04-07，数据处理时间）。
**其他变量** — `fcs_people`（取值范围13611711.0–13611711.0）、`fcs_prevalence`（取值范围0.2649–0.2649）、`rcsi_people`（取值范围17488455.0–17488455.0）、`rcsi_prevalence`（取值范围0.3403–0.3403）、`health_access_people`（取值范围14770843.0–14770843.0）及另外3个变量。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-wfp-hungermap-data-for-ken")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()

---

## 数据Schema

| 列名 | 数据类型 | 缺失率 | 取值范围/示例值 |
|---|---|---|---|
| `countrycode` | 字符型 | 0.0% | KEN |
| `countryname` | 字符型 | 0.0% | 肯尼亚 |
| `adminlevel` | 字符型 | 0.0% | 国家级 |
| `date` | 日期时间型（datetime64[ns]） | 0.0% | 无 |
| `datatype` | 字符型 | 0.0% | SURVEY（调查数据） |
| `fcs_people` | 整型 | 0.0% | 13611711.0 – 13611711.0（均值13611711.0） |
| `fcs_prevalence` | 浮点型 | 0.0% | 0.2649 – 0.2649（均值0.2649） |
| `rcsi_people` | 整型 | 0.0% | 17488455.0 – 17488455.0（均值17488455.0） |
| `rcsi_prevalence` | 浮点型 | 0.0% | 0.3403 – 0.3403（均值0.3403） |
| `health_access_people` | 整型 | 0.0% | 14770843.0 – 14770843.0（均值14770843.0） |
| `health_access_prevalence` | 浮点型 | 0.0% | 0.4795 – 0.4795（均值0.4795） |
| `market_access_people` | 整型 | 0.0% | 22666271.0 – 22666271.0（均值22666271.0） |
| `market_access_prevalence` | 浮点型 | 0.0% | 0.441 – 0.441（均值0.441） |
| `esa_source` | 字符型 | 0.0% | HDX |
| `esa_processed` | 字符型 | 0.0% | 2026-04-07 |

---

## 数值型变量统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `fcs_people` | 13611711.0 | 13611711.0 | 13611711.0 | 13611711.0 |
| `fcs_prevalence` | 0.2649 | 0.2649 | 0.2649 | 0.2649 |
| `rcsi_people` | 17488455.0 | 17488455.0 | 17488455.0 | 17488455.0 |
| `rcsi_prevalence` | 0.3403 | 0.3403 | 0.3403 | 0.3403 |
| `health_access_people` | 14770843.0 | 14770843.0 | 14770843.0 | 14770843.0 |
| `health_access_prevalence` | 0.4795 | 0.4795 | 0.4795 | 0.4795 |
| `market_access_people` | 22666271.0 | 22666271.0 | 22666271.0 | 22666271.0 |
| `market_access_prevalence` | 0.441 | 0.441 | 0.441 | 0.441 |

---

## 数据整理流程

原始数据通过CKAN API从HDX下载，并转换为Parquet格式。列名统一转换为小写并采用蛇形命名法（snake_case）进行标准化。常见缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）被统一替换为`NaN`。删除了2列缺失率超过80%的字段：`adminone`、`population`。根据解析成功率（阈值85%），将1列从字符串类型转换为数值型或日期时间型。数据集以固定随机种子（42）按照80/20的比例划分为训练集与测试集，并保存为Snappy压缩的Parquet格式。

---

## 数据集局限性

- 数据源自世界粮食计划署（WFP），未由Electric Sheep Africa进行独立验证。
- 自动化清洗流程无法修正原始数据收集中的错报值、定义不一致或抽样偏差问题。
- 请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/wfp-hungermap-data-for-ken)获取发布方提供的方法论说明与注意事项。

---

## 引用

bibtex
@dataset{hdx_africa_wfp_hungermap_data_for_ken,
title = {Kenya - HungerMap data},
author = {WFP - World Food Programme},
year = {2026},
url = {https://data.humdata.org/dataset/wfp-hungermap-data-for-ken},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — 非洲机器学习数据集基础设施。尼日利亚拉各斯。*